bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization of Engines performance and emission for Biodiesel blended with Nanoparticle using regression analysis approach
Authors: Pitale Amol , Walke Pramod
Published: June 2024

Conventional Fuels used in IC engines such ad diesel, petrol etc. are on the verge of extent. Bio-diesel acts an alternative to conventional fuels as it is renewable, bio degradable, nontoxic, less polluting in nature. Present study investigate the effect of various blend of biodiesel & nanoparticle on the performance of engine and emission level. During the study, it is observed that the important parameter that affects the performance concentration of Bio Diesel & nanoparticle in diesel and Engine load are independent parameter. Effect of emission output parameter such as NOX, CO2, CO, HC, are measured. Performance of engine such as brake power and SFC are also measured. Mathematical relation was established among mentioned independent and dependent variables. The ANOVA method is establish relation between these parameters. Experiments were carried out for the nanoparticles (GO) concentration of 10ppm, 20 ppm and 30ppm, biodiesel blend of 20% and 40% at different varying engine load of 25%, 50%, 75% and 100%. Equations are formulated to establish relation between the independent and dependent parameters. The accuracy was calculated in terms of root mean square and to be 0.9094, 0.96, 0.98, 0.96, and 0.949 for NOx, CO, HC, and CO2 and Brake power. From the regression study, optimum BP, NOx, CO, HC, CO2 were found to be 3.49KW, 137.77ppm, 0.7262%, 122.66 ppm, and 3.22%.
A review on flow and segregation of granular materials during heap formation
Authors: Sardare Mamta , Gharat Sandip H.
Published: June 2024

Segregation is an important process mainly used in industries during the flow of granular materials. A granular medium is repeatedly collected particles that have different properties like size, shape, and density. Heap formation in the industry occurs if particles with various sizes, forms, material densities or surface properties are made of bulk materials, then they spatially separate during formation of the heap. This paper provides a detailed understanding of segregation dynamics in granular flows within industrial processes. Focusing on the intricate interplay of particle characteristics, mixing phenomena, and heap formation methodology, the review delves into the essential aspects influencing the spatial separation of particles. Granular media, comprising particles with distinct properties such as size, shape, and density, undergo segregation during the flow processes commonly employed in industries. The formation of heaps becomes a consequential outcome when bulk materials consist of particles exhibiting variations in size, shape, material density, or surface properties. The comprehensive analysis within this review encompasses detailed insights into granular material flow, the intricacies of mixing, the mechanisms of segregation, and the profound effects of particle characteristics on these processes. Additionally, the paper scrutinizes various methodologies employed in industrial settings for heap formation, providing a holistic perspective on the key factors influencing segregation dynamics in granular flows. This review aims to contribute valuable insights to researchers, engineers, and practitioners involved in the optimization and control of granular material handling within diverse industrial applications.
Design, Development and Manufacturing of Carbon fibre Nylon 66 Drive shaft of Passenger Vehicle
Authors: Raushan Rakesh , Dhande K.K. , Jamadar N.I.
Published: June 2024

Research and development on composite materials has increased significantly due to the current and growing need for lighter, newer, fuel-efficient materials with improved stiffness, strength-to-weight ratios, and dependability.Especially in automotive vehicles, now days, 70% to 80% parts of conventional materials are replaced by composites due to its high specific strength. The transmission component of a vehicle plays a major role in weight reduction. The goal of the proposed research project is to design and construct a carbon fiber-reinforced nylon 66 composite drive shaft for a passenger car. To develop and optimize the composite drive shaft, an analytical technique is used. Modeling and analysis are conducted for validation. In addition, experimental investigation is also carried out for the testing of its performance.
Tribological behavior of low carbon steel, grade AISI1018 overlayed with nickel based MMC plus WC
Authors: Butley Sudarshan D , Dhole Lalit P , Chavhan Ganesh R
Published: June 2024

Friction Coefficient (FC), Rate of specific wear (RSW) of low carbon steel of grade AISI 1018 overlayed with nickel-based MMC plus WC using laser cladding were investigated in this tribological study. Specimens were pressed up on to a rotating steel disc (EN31), experiments were conducted on low carbon steel and low carbon steel overlayed with nickel-based MMC plus WC on a pin-on-disc machine. MMC based on nickel were layered over low carbon steel using the laser cladding process. A set of samples were used in the experiments, which lasted 20 minutes and involved loading conditions of 10N, 20N, 30N, 40N, and 50N with sliding distances ranging from 1000 m to 3000 m. The findings demonstrate how different loads and sliding distances affect the SWR and CoF. Generally, speaking, CoF rises during the rubbing phase and then stays steady for the duration of the test. The obtained results indicate that, for cladded material, the FC and RSW increase with increasing applied load and sliding distance.RSW and FC of Low Carbon Steel overlayed with Nickel based MMC plus WC, which was created using the Laser Cladding Process, decreased. When compared to low carbon steel, the RSW of low carbon steel overlayed with nickel-based MMC plus WC that was created using laser cladding decreased to 31.26%. CoF of low carbon steel covered with MMC plus WC based on nickel, created by laser cladding, is found to be 12.13% lower. To investigate the worn surfaces of the base metal, a Scanning Electron Microscope (SEM) was used, which is low carbon steel and low carbon steel layered with nickel-based MMC plus WC using laser cladding. Two types of samples had worn surfaces with shallow and fine grooves at low loads, and large quantities of cracks at high loads, which raised weight loss.
A Review: Nanofluids in Machining for Performance and Sustainability
Authors: Dalke Piyush A. , Karanjkar Atul V. , Deshmukh Girish P.
Published: June 2024

This study examines the use of hybrid and normal nano cutting fluids in drilling, a process commonly used by sectors of the economy that normally depend on gulf cut or dry cut oil. These lubricants work well for drilling, but they don’t improve surface smoothness enough and might shorten the tools lifespan. In order to mitigate these problems, scientists are investigating nanofluids as an alternative to conventional lubricants. They are experimenting with different mixtures of nanofluids as a foundation in drilling operations. Multiple investigations demonstrate that the utilization of nanofluid as cutting fluid can improve lubrication as well as cooling in comparison to conventional cutting fluids. Various drilling techniques, such as dry machining, minimum quantity of lubrication, and solid lubricant, are employed however literature suggests that MQL is the most environmentally friendly option. Given that drilling involves working on tough surfaces, it is imperative to have a high-quality coolant lubricant. While there are several choices available for base lubricants, none of them can achieve the required level of surface finish during drilling. As a possible lubricant option in the future, the research suggests using a hybrid nanofluid in combination with multiple base lubricants.
Taguchi Design of Experiments to Optimize Material Removal Rate in Turning AISI 4340 Steel
Authors: Kamble Prashant D. , Sahare Shilpa B. , Untawale S.P. , Mehta H.D.
Published: June 2024

In this work, an effort is prepared to optimize turning process by maximising the material removal rate (MRR). For experimentation, CNC Spinner 15 lathe machine is used. The input factors are spindle speed, feed rate, depth of cut and type of tool under the 3 altered values of noise factor. Output parameter is MRR. The work piece material is AISI4340 steel. The Taguchi robust design is achieved by implementing spindle vibration as a noise factor. The orthogonal Array L9 is used for experimentation. The MRR is calculated by the defined formula. The data analysis is done by Taguchi technique. The Higher-the-better signal-noise ratio is adopted to compute the quality characteristics S by N fraction of MRR for every run of experiment. Response table is then computed. The main effect plot is the base to discover the best situation of the response parameter. ANOVA is used to guess the significant parameters. The best setting is A-1 B-2 C-2 D-3 and E-3) i.e. spindle speed 780rpm, feed rate = 2.42 mm/rev, coated CVD tool, nose radius=1.2 mm whereas depth of cut = 1.5 mm.
Study of Hydrodynamics and Residence Time Distribution in a Trickle Bed Reactor
Authors: Kurandale Bhakti , Rekalwar Samiksha , Pakale Shreeya , Sutar Parag
Published: June 2024

This study focuses on investigating the hydrodynamics using computational fluid dynamics (CFD) simulation and residence time distribution (RTD) within a trickle bed reactor (TBR). CFD simulation was performed on a packed column filled with structured packing of glass beads, while the experiments for RTD studies were conducted in a TBR filled with random packing of Raschig rings. The geometry of TBR and size of packing during CFD simulation was kept close to that of the experimental setup. CFD simulation results were obtained which predicted the flow of fluid through the TBR at different vertical planes along the column. The fluctuations of liquid velocity at various positions inside the reactor were predicted by the CFD model. RTD studies were performed for both pulse input and step input using a non-reactive tracer such as sodium hydroxide. The flowrate of water was varied from 0.6 LPH to 6 LPH for pulse input, while for step input the ratio of water to tracer flowrates was kept at 1:1, 1:2 and 2:1. This study allows us to understand how hydrodynamics and residence time distribution may have an effect on the performance of TBR.
Optimization of welding process parameters of wire arc additive manufacturing
Authors: Solanke Narendra , Metkar Rajesh M
Published: June 2024

Wire arc additive manufacturing (WAAM) is a cost-effective and efficient method for producing intricate metal geometries. This study employs Design Expert software and the desirability function to optimize WAAM process parameters, focusing on maximizing bead width, height, and microhardness—critical factors determining mechanical properties. Through ANOVA analysis, the research identifies voltage, wire feed speed, and torch speed as significantly influencing welding characteristics. Increased voltage and wire feed speed yield wider beads, while higher torch and wire feed speeds enhance bead height and microhardness. Optimized parameters—16.44 V voltage, 8.99 m/min wire feed speed, and 9 mm/s torch speed—demonstrate precise control over bead properties. This study deepens our understanding of WAAM process parameters, offering valuable insights for consistently producing high-quality weld beads with desired mechanical properties. The findings have profound implications for the manufacturing industry, enabling enhanced efficiency, consistency, and quality in metal component production. Optimized parameters also pave the way for innovative designs, lightweight structures, and rapid prototyping, contributing to the advancement of additive manufacturing, particularly in the context of wire arc technology. This research establishes a foundation for future studies on process optimization, material selection, and widespread WAAM adoption in diverse manufacturing sectors.
Prototype of robotic arm device used in tele surgical process
Authors: Gawaikar Ankita , Patil Swati , Patil Wani , Ghutke Payal , Joshi Sonali
Published: June 2024

Telesurgery is also known as Remote surgery it is an emerging technology it the field of surgery, it uses both robotic technology and wireless networking. The surgeon can operate on patient who are distinctly located from each other. The main ability of telesurgery is to overcome limitations of conventional surgery such as lack of surgeons, geographical inaccessibility, financial concern, potential complications. This technology gives benefits to both patient and surgeon with technical accuracy and long-distance care. The first telesurgery was performed in 2001. The telesurgery has more benefits such as high-quality surgery in medically underserved rural areas, sea mission areas, battle fields, spacecrafts and various large spaces. The only thing is the high cost of the initial implementation and maintenance. For every hospital it is not possible to buy this high-cost devices so we are developing a small prototype which will be cost effective and easily available in market.
Design and Development of Thermal Management System (Tms) for Battery Packs of Electric Vehicles- A Review
Authors: Karamkar Bhushan , Bhaiswar Vinod , Dandavate Abhijit
Published: June 2024

A combination of their high density of energy and extended cycle life, lithium based batteries are frequently used in electric source vehicles. Maintaining the right temperature range is crucial since lithium battery performance and lifespan are very temperature-sensitive. In this context, this research offers an efficient battery heat control system solution. This essay examines lithium battery heat generating phenomena and important thermal concerns. The numerous battery temperature management system studies are then carefully examined and arranged in groups based on available thermal cycle possibilities. Air cooling in the cabin, liquid cooling in the second loop, and two-phase direct refrigerant cooling are all part of the Battery temperature control system with a vapor compression cycle. Cooling via Symmetrical phase transition, heat pipes, and thermoelectric elements are all part of the technique for managing battery temperature without a vapor compressed system. For each temperature management system, the ideal temperature and variation to the maximum in temperature of the batteries are evaluated; furthermore, applicable for the Battery Temperature Manage System that lessens the shortcoming of every system is brought up. As an achievable heat management solution for batteries made of lithium with substantial energy densities, finally, a unique system for monitoring battery temperature is proposed.
Analysis of Vibration in Hybrid Composite Leaf Spring
Authors: Jadhav Shivaji , Landage Milind G. , Patil Chetanraj D. , Jawarkar Nilesh
Published: June 2024

Vibration-related failures more frequently occur than material failures, analysis is crucial to the design of composite leaf springs. It must also have an outstanding fatigue life and be lightweight. To minimize vertical vibrations, hits, and bumps caused by irregular roads and to ensure a comfortable ride, springs are essential suspension components in automobiles. Hence, the material with the highest strength and lowest longitudinal elastic modulus is ideal for use in leaf springs. In the automotive business nowadays, composite materials primarily replace metal elements. Consequently, it is important to use a hybrid composite leaf spring that evenly distributes graphite, carbon, and glass fibers throughout the resin matrix and has a lower spring rate. Hybrid composite materials offer many advantages over conventional composite materials because they use glass and carbon fibers instead of them. These advantages include maximum strength, minimum longitudinal modulus of elasticity, reduced weight as well as vibration, better packaging, enhanced durability, cost savings, fatigue life, and strain energy capacity. The first use of modal analysis is to determine Eigen-vectors, or mode shapes, and Eigen-values, or natural frequencies. Moreover, random vibration analysis is used to distinguish between smooth and rough vibrations, and harmonic analysis is used to determine the response’s amplitude.
Current ripple optimization design of DC/DC converter
Authors: Zhao Lina
Published: June 2024

Renewable energy has the advantages of renewability and high temperature and has great potential for development, but its instability limits its large-scale promotion. Aiming at the stable operation of the new energy power system and ensuring the safe and reliable operation of the power grid, this project defines the basic topology of the variable multiple DC/DC converter according to the idea of switching circuit parallel factor or reducing ripple under each duty cycle. Secondly, the system structure under the boost mode is modeled, and the system is optimized by the combination of a single closed-loop current balance and duty cycle feedforward control. Finally, the model is simulated, and the results show that the method is correct and reasonable.
Design of four-wheel steering system based on automotive electronic control technology
Authors: Kang Haonan
Published: June 2024

With the rapid development of the automobile industry, people’s requirements for automobile handling performance and driving safety are getting higher and higher. As an important automobile power system, four-wheel steering technology can improve the maneuverability, stability, and safety of vehicles by controlling the steering angles of front and rear wheels. Therefore, the design and research of the four-wheel steering system has become one of the hotspots in the field of automotive engineering. In this paper, a two-degree-of-freedom dynamics model is established, and based on the PID control strategy of joint feedback of center-of-mass lateral deflection and traverse angular velocity, the vehicle model of a four-wheeled steering vehicle is constructed by using TruckSim, and the minimum turning radius test, serpentine test, and steering wheel angle step test project are carried out. The results show that compared with the two-wheel steering vehicle, the minimum turning diameter of the four-wheel steering vehicle is reduced by 1/3, which effectively improves the maneuverability at low speeds as well as the safety and stability at high speeds, and has better transient response.
Research on cascading effect analysis of civil aircraft electrical power system failures
Authors: Lv Jun
Published: June 2024

Cascade effect analysis is a qualitative analytical method recommended by SAE ARP 4761A [1] for evaluating complex integrated civil aircraft systems. The Electrical Power System (EPS) is one of the critical onboard systems. It can provide electrical power to the avionics system, flight control system, and other critical systems on the aircraft, and it has a wide range of failure effects. The consequences of EPS failure effects are difficult to determine. This paper applies the cascading effect analysis method to carry out the qualitative safety assessment of the EPS on the aircraft and finally confirms that the architectural design of the EPS met the safety design requirements. It also gives the engineering method (such as test, MBSA) suggestion to further check and verify the correctness and completeness of the theoretical analysis of CEA.
Design and analysis of mechanical mechanism of cold-forming equipment for marine profiles
Authors: Jiang Qilin , Hou Junming , Liu Jinfeng
Published: June 2024

For the existing cold bending machine with complex structure, low automation, and poor motion accuracy. A cold-forming machine that can be used for cold-forming processing of ship profiles is designed in this paper. Firstly, the general structure of the equipment is described. Secondly, the key mechanical structures, such as the guiding mechanism, the feeding mechanism, and the cold bending mechanism, are explained. Finally, the finite element models of key components were mechanically analyzed. The results show that the mechanical structure design proposed in this paper not only meets the mechanical design requirements needed for the system but also can effectively prevent the profile from slipping during the feeding process and achieve highly accurate automatic cold bending processing of the profile.
Design and implementation of intelligent camshaft press-fit testing system
Authors: Huang Zhaoxian
Published: June 2024

In order to improve the assembly efficiency and automation level of camshaft press-fit equipment for domestic enterprises and achieve data traceability, a smart camshaft real-time press-fit detection system based on C# has been designed and developed. The system adopts modular thinking for C# program design and interface design, collects pressure and displacement data during the press-fit process, forms curves, and uses regional determination methods to determine the results, in order to achieve the goal of press-fit detection. After the press-fit is completed, the press-fit result data and curve data are saved to the database, achieving data traceability. The system collects data from the upper computer and determines the press-fit result, reducing the workload of the equipment controller (PLC), improving assembly efficiency and detection accuracy, and is innovative to some extent. After testing, the system runs stably and reliably, providing a certain reference value for the intelligent transformation of press-fit equipment.
Design of fuzzy controller for dynamic positioning based on improved particle swarm algorithm
Authors: Lu Zheng , Wu Weifeng , Chen Wentao
Published: June 2024

The traditional PID controller commonly used in ship dynamic positioning has the defects of difficult online adjustment and weak anti-interference ability. Combining fuzzy control with PID can be a good way to improve the adaptability and accuracy of the controller. However, the parameters of fuzzy PID need to be adjusted by human beings, and there exists a certain uncertainty, which has a great influence on the robustness of the controller. Therefore, the fuzzy PID is optimized using an improved particle swarm algorithm to parameterize the quantized scale factor and rules of the fuzzy PID. Particle swarm optimized fuzzy PID was simulated, and the control of PID and fuzzy PID controllers was compared under different operating conditions, as shown by the experimental results: Under the hydrostatic condition, the convergence speed of the control system is faster; under the load condition, the overshooting amount of the control system is smaller, and the robustness and adaptability have been significantly improved.
Design of silicon box cleaning control system
Authors: Ge Zhenghao , Yang Hao , Li Lixiang , Cai Yongli
Published: June 2024

The performance, efficiency, and stability of semiconductor materials are directly influenced by the quality of wafer cleaning, which is a crucial step in the production of integrated circuits and photovoltaic cells. For this reason, the final product’s quality greatly depends on the cleaning effect’s quality. Approximately half of the issues and malfunctions in large-scale integrated circuits are related to inadequate cleanliness of the silicon material, a result of the shortcomings of current wafer cleaning technology. Wafer cleaning process optimization is therefore crucial. The control system is designed based on the structural features and process flow of the chemical liquid spray wafer cassette cleaning machine. Siemens S7-1200 PLC is used as the control core of the control scheme, which is built by examining the control principles of each cleaning machine module and choosing and designing the hardware component of the control system. The wafer cleaning process is fully automated thanks to the design of the upper computer monitoring interface, which also includes a touch screen for online debugging. This significantly raises the production efficiency of the wafer-cleaning machine.
Design of partial discharge detection device based on BP neural network algorithm
Authors: Wang Zhendong , Han Xueyu , Wang Yonggui
Published: June 2024

At present, with the rapid development of science and technology, the construction of new power systems has been promoted rapidly, and the automation and intelligence of power network operation equipment has been continuously improved. It is increasingly important to use various detection techniques for the state detection of power grid operating equipment. In this paper, a design scheme of partial discharge detection device based on neural network BP algorithm is achieved, combining with the current detection technology and embedded technology. The purpose of discovering and evaluating the insulation defects of power grid equipment is to detect partial discharge.
Lifting platform PWM control system design combining distance detection
Authors: Ouyang Ziyin , Zhang Min , Zeng Wei
Published: June 2024

The design of this system aims to achieve running speed control of a lifting platform based on pulse width modulation (PWM) technology, combined with weight and distance detection. The system consists of a microcontroller unit (MCU), pressure sensor, ultrasonic ranging, L298N motor drive, LCD1602 display, keys, and alarm modules. The system generates corresponding PWM signals based on the weight of load and distance between the platform and the starting point to control the speed of lifting the platform DC motor, ensuring the safety and stability of the lifting process. The system’s overall functionality has been verified through simulation by PROTEUS 8.15 and tested through physical circuit construction. This control system can achieve real-time and accurate lifting speed control of the platform, and has good performance and stability. The design is simple and can be applied to various occasions such as industrial production lines, warehouse material handling, and high-altitude operations, improving work efficiency and reducing the risk and burden of manual operations.
The study of in-situ calibration technology of redocking torque parameter of performance test system for space station redocking mechanism
Authors: Ni Bo , Weng Jun , Wang Chao , Li Yuanjie , Fang Yichen
Published: June 2024

The redocking manipulator performance test system is the necessary equipment in the development stage of a redocking manipulator. The measurement parameters such as redocking torque are the key parameters used by the test system to simulate the redocking process of the space station, which directly affect the simulation accuracy of the whole test system and the correctness of the test results of the redocking manipulator. In this paper, the in-situ calibration technology of redocking torque is studied. Firstly, the calibration theory is analyzed based on the sensor comparison method. Secondly, the in-situ calibration device of redocking torque is established by using a special loading mechanism and calibration tooling, and the measurement uncertainty is evaluated. Finally, the application verification test of the test system is carried out to verify the feasibility of the calibration device, which provides a metrological guarantee for the successful completion of the development and production task of the redocking manipulator of the space station.
Research and application of low-frequency eddy current detection technology for heating surface tube of power plant boiler
Authors: Mu Yanchun , Zhao Li , Xu Wensheng , Ge Hao , Cheng Dongyue
Published: June 2024

In this paper, an ultra-low frequency magnetic detection method for the shedding of oxide layer on the inner wall of austenitic stainless steel heating surface tubes in power plant boilers and a far-field eddy current automatic detection method for water-cooled wall tubes are introduced. The probe selection, comparison sample making, detection voltage, detection current, signal phase and amplitude of ultra-low frequency magnetic detection, and far-field eddy current automatic detection methods are tested and studied, which provide reference detection parameters for practical detection applications. According to on-site practical application verification, this detection method can quickly, intuitively, and accurately detect the oxide layer peeling off the inner wall of austenitic stainless steel pipes and the defects on the inner and outer walls of water-cooled wall pipes, providing a feasible and effective means for the quality supervision and safe operation of the power plant boilers.
An indoor delivery robot based on YOLOv8 and ROS
Authors: Sun Zhijin , Fan Jianan , Lu Jialin , Zhang Lei , Li Xiaoyang , Deng Baoru
Published: June 2024

Aiming at the problems of inflexible movement, poor operation efficiency, low space utilization in the storage area and poor compatibility of placed items, intelligent route planning ability and weak intelligent obstacle avoidance ability in the current indoor delivery robot operation process, this paper takes ROS combined with YOLOv8 as the intelligent driving core, uses the A* algorithm to make the robot go to the target position, plan a reasonable route, take STM32 as the intelligent control core, and use the Mecanum wheel as the power take-off wheel. Based on this, an indoor delivery robot based on ROS and the McNum wheel motion scheme is designed. This paper designs the robot as a whole, designs the mechanical structure and functional modules of the robot, and simulates and analyzes the obstacle avoidance scheme and key functions of intelligent driving. Experiments have proved that the design of the delivery robot can not only achieve efficient and accurate distribution, but also reduce energy consumption to a certain extent, and provide new ideas for the intelligent transformation and development of the logistics industry.
Insulation excellence and storage dynamics in a 500-litre self-developed vehicular liquid hydrogen cylinder: thermal leakage and status analysis
Authors: Ma Xiaoyong , Chen Shuping , Wang Xin , Zhang Wanyao , Wang Zhengwen , Mi Maoyuan , Shi Chaofan , Zhang Shangwu , Li Jie
Published: June 2024

Liquid hydrogen storage represents an efficient and highly promising method for hydrogen encapsulation, particularly relevant for hydrogen-powered vehicles. This paper describes a novel self-developed 500-litre vehicular liquid hydrogen cylinder featuring high vacuum multi-layer insulation (HVMLI) and eight-point support structures. The study quantitatively analyzes the heat leakage from the thermal insulation layer, support structures, and accessory pipelines of this cylinder, with a total thermal leakage rate of 11.759 W, mainly stemming from the support structure. Moreover, using the BoilFAST software, simulations were conducted to investigate variations in the pressure of the ullage space, the temperature of the stored liquid hydrogen, and the temperature of the vapor within the ullage space across different liquid filling rates and stationary periods. This paper provides valuable insights into the development of vehicular liquid hydrogen cylinders, and the simulation results improved comprehension of the internal storage status and variations of associated physical parameters.
Numerical simulation of free-surface evolution in laser polishing of 100 Cr6 bearing steel
Authors: Fang Chuqiao , Wu Xiao , Wang Sijin , Wang Xin , Pan Wanshun
Published: June 2024

This research focuses on the laser surface polishing process of 100 Cr6, employing a moving Gaussian heat source. It establishes a two-dimensional transient model for laser polishing, taking into account the integrated effects of fluid flow and temperature fields, as well as the combined influence of capillary and thermocapillary forces. The model was used to perform numerical simulations to study the evolution of surface morphology during the laser polishing process. The investigation specifically examines how laser power and scanning speed influence the quality of the polishing outcome. The results demonstrate that an optimal surface roughness of approximately 0.571 μm is attained at a laser power setting of 200 W and a scanning speed of 300 mm/s.
Tire dynamics simulation based on MATLAB/Simulink
Authors: Pan Yunping , Huang Wenxuan
Published: June 2024

This paper explores different tire models to address the challenge of simulating tire dynamic characteristics. The Magic Formula is utilized to establish the dynamic model of the tire using the MATLAB/Simulink tool. Simulation analysis is performed under three distinct operating conditions: pure braking, pure cornering, and combined. The outcomes demonstrate that the mechanical properties of automotive tires can be effectively simulated using the Magic Formula tire model. Controlling the longitudinal slip ratio within a 10% range, maintaining the slip angle within a range of 7 degrees, and ensuring that the vertical load on the tire does not exceed 6 KN significantly contribute to enhancing the stability and handling of the vehicle.
Research on noise prediction of steel aluminum mixed structure ship
Authors: Gao Lisha , Xu Xiaoying , Zhou Pan
Published: June 2024

In the context of the implementation of the new Ship Noise Level Regulations, it is particularly important to conduct ship noise prediction during the design phase. This article establishes a SEA model using the statistical energy method and VA One software and predicts cabin noise. The impact of non-living quarters, reinforced panels, and interior materials on noise prediction is discussed. The results indicate that using the statistical energy method for noise prediction has a certain degree of accuracy. When establishing an acoustic model, non-residential compartments can be simplified while considering the influence of reinforcement plates and interior materials on the prediction results.
Characteristic study of valveless pump with dual outlet composite drainage structures
Authors: Li Wei , Zhao Da , Huang Yongcheng , Xie Jianghuai , Li Junxian , Wang De
Published: June 2024

Valveless pumps are gaining importance in various fields. However, the reflux phenomenon can reduce pump performance and limit its application. This article proposes a dual outlet composite drainage structure valve-less piezoelectric pump with multiple semicircular arc structures within the flow channel to address this issue. The operating methods are explained, and the pump output flow rate formulation has been derived. The ANSYS CFX was used to simulate flow conditions in various directions. A prototype pump was then produced and tested using 3D printing technology. The results show that the flow rate gets a maximum state of 189.6 mL/min under a voltage of 200 V and a frequency of 50 Hz.
The motion state of a spherical detector in a horizontal pipeline under different density ratio
Authors: Miao Rui , Chen Yingchun , Song Wei , Fan Xiaoli , Ye Wei , Lou Yi
Published: June 2024

Pipeline leakage can lead to serious environmental damage and industrial hazards. A spherical detector is a device for detecting pipeline leakage, which can locate the leakage position. To ensure the stable operation of the detector in a variety of media fluids, this paper uses the numerical simulation method to study the motion state of the sphere and the influence of different density fluids on its motion. It is found that the resistance and lift of the sphere under different density fluids are different, which will affect the motion trajectory of the detector and the speed of the stable stage. Therefore, the working environment of fluids with different densities needs to be considered when designing a spherical detector to ensure its stable operation in various fluid media.
Tolerance analysis of slat gear rotary actuator in civil aircraft
Authors: Cao Junzhang , Yu Haidong
Published: June 2024

The slat gear rotary actuator of civil aircraft needs to meet the requirements of small space and large transmission ratio. The planetary gear system based on triple teeth is a common actuator design, and the design structure is complex, so its tolerance control is also strict. In order to meet the design requirements of its internal structure, this paper presents a deviation analysis method for the internal structure design of a typical civil aircraft slat gear rotary actuator. The results of preliminary tolerance distribution and improved tolerance distribution are analyzed using the Jacobi-based assembly deviation model. By comparing the standard deviation of the analysis results, the validity of this deviation analysis method is verified, which proves that this method can be used to analyze the internal structure deviation of the rotary actuator of slat gear in civil aircraft.
Modeling, detection, and validation for geometric errors in machine tools
Authors: Jia Guangjie , Zhang Xu
Published: June 2024

This study aims to enhance the spatial precision of five-axis machining centers through a comprehensive exploration of geometric errors, encompassing modeling, efficient detection, and compensation validation. Our approach begins with the establishment of a kinematic error model covering XYZ translational axes and AC rotational axes, providing an in-depth understanding of error origins and interrelationships. Utilizing a laser tracker, we conduct direct measurements of the geometric errors associated with translational axes, and a rotational axis error detection model is developed by using a ball bar, allowing for indirect analysis of rotational axis geometric errors. The validity of both the kinematic error model and error detection is further confirmed through practical on-machine measurements.
Modeling of machine tool thermal error based on factor extraction
Authors: Zhang Shunyu , Peng Liang , Chen Zhenlei
Published: June 2024

In the process of modeling thermal errors in machine tools, optimizing the extraction of temperature information affects the prediction accuracy of the thermal error model. This paper proposes a thermal error modeling method based on factor extraction. Firstly, the temperature measurement points are optimized to determine the optimal number using finite element, fuzzy clustering, and correlation methods. Then, the common deformation factors in the machine tool temperature information are extracted through factor analysis, and they are used as independent variables for thermal error modeling. Finally, the method was applied to establish a model for thermal error model for a certain model of precision machine tool, and a regression model of the machine tool was obtained after factor extraction optimization, the effectiveness and feasibility of the proposed method in this paper were verified by comparing it with experimental data. The method proposed in this study provides a reference for modeling thermal errors in various types of machine tools in the future.
Research on case retrieval strategy based on drawing die of automobile coverings
Authors: Cheng Shiju , Qi Hongfang , Guo Hanxiang
Published: June 2024

To improve the accuracy and efficiency of case retrieval in the process of intelligent design of automobile panel drawing die, this paper proposes a case retrieval strategy based on model reasoning and an improved k-nearest neighbor (KNN) method. Through the functional representation and modular description of the existing knowledge of automobile panel drawing die design, the problems to be solved are compared with the model, and the preliminary screening is completed. Then the nearest neighbor algorithm is used to realize the retrieval, and the subjective and objective weight assignment method is used to optimize the retrieval strategy. The subjective weight uses the improved three-scale analytic hierarchy process to avoid the subjectivity increase caused by the judgment matrix’s artificial adjustment. The objective weight uses the grey wolf optimization algorithm, and the dynamic adaptive calculation of the average similarity is designed to enhance the reliability of the fitness function. Finally, the case retrieval of the drawing die during the design of a certain type of panel die is taken as an example to test. The retrieval strategy can accurately complete the retrieval of historically similar cases, which verifies the effectiveness of the proposed instance retrieval strategy.
Research and analysis on fault diagnosis of multistage centrifugal pump for mining
Authors: Bao Jihua , Wang Yumin
Published: June 2024

The vibration data collected by the fault experiment are analyzed in the time domain and frequency domain respectively, and the conclusion shows that the frequency characteristics of some vibration data cannot be fully characterized due to noise interference. In order to solve the problem of noise interference, this paper uses the VMD algorithm based on the kurtosis peak to denoise the collected data, constructs wavelet time-frequency map samples through the wavelet transform method to provide input sources for the subsequent convolutional neural network, and uses the image samples for fault diagnosis and identification. [1] Through the convolutional neural network built to diagnose and identify the different states of the multistage centrifugal pump, it can be seen that the recognition accuracy, training time, and recognition time of a single sample of various image samples in the three cases of no noise reduction, noise reduction and a small number of samples can be found through the method of comparative analysis, and compared with the traditional SVM method, the superiority of the convolutional neural network using image recognition can be found.
An approach to bearing fault diagnosis based on ensemble learning and case-based reasoning
Authors: Li Jinjie , Guo Yu , Dou Yajie , Wang JiKai , Qiu Biaobiao , Liu Xi
Published: June 2024

In response to the challenge of multiple fault types and complex diagnostic criteria in bearing fault diagnosis, a case reasoning method based on ensemble learning is proposed. The approach utilizes Case-Based Reasoning (CBR) to construct a case library for vibration-based features of rolling bearings and perform fault diagnosis. Moreover, addressing the issue of determining optimal feature weight ratios when retrieving similar cases in traditional case reasoning methods, a Random Forest algorithm combined with Bayesian Optimization is introduced. This integration allows for adaptive retrieval of similar cases, thereby enhancing the diagnostic capability for bearing faults. The effectiveness of this approach is validated through experimental analysis.
Neural network PID control of spherical permanent magnet based on external magnetic field driving system
Authors: Liu Guancheng , Jiang Renjun , Fan Lei , Lv Qing , Lu Conghui , Wang Pingping
Published: June 2024

The neural network PID control method of the external magnetic field driving system solves the shortcomings of the traditional control method. The controlled object is a spherical permanent magnet. Other detections or operation equipment can be attached to the sphere. In the process of external magnetic field driving, the model-based controller is prone to large fluctuations when the environmental parameters change, which reduces the control performance. The neural network algorithm has good control ability for the highly nonlinear magnetic levitation driving system. PID control system combined with a neural network algorithm has high stability and strong adaptability in the driving process. The test results show that the response output overshoot is 9.322%, and the system fluctuation is low. Self-tuning and adaptive environment changes of PID controller parameters can be realized by neural network control.
Vibration signal acquisition and extraction for cutter wear monitoring
Authors: Zhou Wuxue , Li Jing , Shen Nanyan , Ran Zhuang
Published: June 2024

The cutter wear state is key in manufacturing. During the machining, the vibration signal of the tool spindle will change with the increase of cutter wear, which provides an effective method for cutter wear monitoring. However, due to the popularity of machining centers, the machining trajectory of a cutter is extremely complex in practical production. The complexity includes a single process containing multiple work steps, a step containing random and long non-cutting time, etc., making it difficult to acquire and extract the specific step signal as the effective signal for cutter wear monitoring. Therefore, this paper proposes a system that can synchronously acquire machine parameters and tool spindle vibration signals. Then, two algorithms—the cutting signal recognition algorithm and the step signal similarity detection algorithm—are proposed. The former algorithm is based on sliding window energy, which can accurately identify the instant the cutter begins to cut the workpiece. The step signal similarity detection algorithm based on the Edit Distance on Real (EDR) sequence ensures the correctness of the step extraction. The experimental results show that the system has efficient acquisition of vibration signals and correct step signal extraction, providing a data basis for cutter wear monitoring.
BiLSTM-KNN network for locomotion mode recognition in lower limb exoskeleton robot
Authors: Yu Xiangxiang , Huang Liping , Gao Yifan , Chen Ziyao , Wang Hui , Yang Jiamei , Zheng Jianbin
Published: June 2024

Lower limb exoskeleton robots have become a research hotspot among various enterprises, universities, and institutions. This paper proposes a deep learning network based on the recognition of five movement patterns of lower limb exoskeletons, including walking on level ground, going upstairs, going downstairs, uphill, and downhill. The network uses BiLSTM to capture the forward and backward relationships of time series data, which has better resolution than the original features. In addition, the network uses the KNN algorithm based on shortest-distance voting to improve the recognition accuracy. The network achieved a recognition rate of 99.18% for five motion patterns. In summary, the proposed network has excellent performance in terms of accuracy and generalization.
Research on complex products assembly sequence planning and its application based on PSO-GA
Authors: Ma Jun , Zhou Zhonghua , Meng Lina , Fu Jiawen , Li Xiaoke
Published: June 2024

A PSO-GA-based method is proposed to improve the efficiency of complex product assembly sequence planning. We minimize total assembly time by optimizing the assembly sequence, considering the number of tool changes and assembly direction changes as evaluation criteria. A genetic algorithm (GA) is introduced into particle swarm optimization (PSO) to solve and verify assembly sequence planning. Finally, the effectiveness and rationality of the hybrid algorithm are verified by taking a certain type of gear pump as an example.
Improvement methods for feature matching in Basalt SLAM
Authors: Shi Leilei , Tan Junguang , Xu Bin
Published: June 2024

Visual simultaneous localization and mapping (SLAM) is widely used to provide localization information for mobile robots, but most visual SLAM algorithms lack effective data association methods, resulting in unstable position tracking results. In this paper, relevant improvement schemes for global feature matching in the Basalt SLAM algorithm are proposed to enhance the effectiveness of its data association method. Firstly, the more efficient box average difference (BAD) descriptor is used instead of the ORB descriptor. Secondly, secondary matching is performed by narrowing the matching range with the epipolar geometric constraint to expand matching pairs. Finally, grid-based motion statistics (GMS) and histogram-based rotation consistency constraints are introduced to eliminate false matches. Experiments on the EuRoC dataset demonstrate that the proposed methods significantly enhance the effectiveness and stability of visual data association and improve the localization accuracy of the Basalt SLAM system.