bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental Investigation of tool wear, surface roughness during milling of EN 25 steel using coconut based vegetable oil
Authors: Jhodkar Durwesh , Karanjekar Somadatta , Chede Bharat , Bajpai Tapus , Shukla Sourabh 
Published: June 2024

Abstract
In this study experimental investigation for utilization of coconut-based vegetable oil as an environmentally sustainable cutting fluid in the milling of EN 25 steel. The study focuses on evaluating the influence of coconut oil as cutting fluid during milling operation. A series of milling experiments were conducted, varying cutting parameters and employing carbide cutting tools, to systematically assess the performance of the coconut-based oil. The results demonstrate that coconut-based vegetable oil exhibits significant potential as a viable alternative to conventional cutting fluids. It not only effectively lubricates the machining process but also substantially reduces surface roughness and tool wear during milling of EN 25 steel workpiece. Advancing eco-friendly machining practices; this research not only contributes to reducing the environmental footprint of machining operations but also offers a promising solution to enhance machining efficiency. The findings presented in this study offer valuable insights for the practical implementation of this sustainable cutting fluid in industrial machining processes, setting the stage for further exploration and adoption of eco-friendly alternatives in the manufacturing industry.
Recent development in feeding mechanism of sheet metal shearing machine for productivity improvement: A review
Authors: Santape V N , Khond V W , Kota A B 
Published: June 2024

Abstract
Sheet metal working processes find extensive applications in industries such as automobile and aerospace. However, the sharp edges of sheet metal pose a safety hazard to workers, potentially leading to injuries. In response to this concern, we have conceived and developed an automatic sheet metal cutting machine. Feeding mechanism is one of the important part of sheet metal shearing machine. In this paper, recent research papers are reviewed. This papers also reports recent development in feeding mechanism and its role for productivity improvement. Also, proposed innovative feeding mechanism represents a pivotal advancement in the field of mechanical workshops, aligning with industry demands for increased productivity and safety in sheet metal processing. Paper throws lights on benefits of automation into the sheet metal cutting process, which a significantly reduces in labour costs while ensuring precise and efficient cutting operations. Paper also focuses the various parameter such as cutting speed, material properties.
Modal analysis of tripod-ball type universal coupling composite transmission shaft system
Authors: Xiu Xia , Chang Degong 
Published: June 2024

Abstract
In order to improve the dynamic performance of the tripod-ball type universal coupling composite transmission shaft system, ANSYS Workbench modal analysis is carried out. By modal analysis of the transmission shaft system, the vibration characteristics of the coupling have been obtained, which can avoid its natural frequency in practical situations. The figures for the first ten modes have been obtained. The results indicate that the areas with the greatest deformation are on the intermediate shaft, bell housing, and trident sleeve. This provides a theoretical basis for further research on the transmission shaft system.
Optimization of transcutaneous energy transmission system suitable for implanted devices
Authors: Han Ding , Qian Dahong , Yan Guozheng , Kuang Shuai , Wen Renqing , Xiang Suncheng 
Published: June 2024

Abstract
Microdevices have been implanted in the body to diagnose diseases and treat functional disorders, such as an artificial sphincter for fecal incontinence. Since these devices are expected to work in the body as long as possible, the energy supply has become increasingly important. Wireless power transfer (WPT) systems are suitable for medically implanted devices. A transcutaneous energy transmission (TET) system, as one of the wireless power transfer systems, is discussed in this article. A TET system comprises two coils: a transmitter coil and a receiver coil. First, a serial-serial resonance circuit is adopted in the TET system by different resonance circuits’ efficiency analysis. In addition, coil features, such as magnetic field intensity, coil outer diameter, coil turns, and coil inner diameter, have been investigated in detail to improve the inductive coupling coefficient, leading to a high-power transmission efficiency. The proposed TET system with the optimal parameters is used in the in vivo experiments. Experiments using an optimized wireless power transfer system show a better performance than previous (before optimization) with a 38% increase in efficiency.
Design and implementation of adaptive control for industrial robot servo trajectory tracking
Authors: Liu Jiale , Zhao Ting , Huang Shifeng 
Published: June 2024

Abstract
To cope with the complex external environment of the robot, an online adaptive control method for industrial robots is implemented by using robot dynamic parameters as control variables. A Newton-Euler method is implemented to establish a rigid body dynamics model for the robot. Subsequently, we confirm the possibility of dynamic parameter adaptive control by employing the Lyapunov stability theory and derive the dynamic parameter estimation law. Three methods are proposed to realize the observation matrix containing reference information in the adaptive control algorithm. Through physical experiments, it is verified that the dynamic parameter adaptive control is superior to traditional PPI control, and its position tracking error and anti-interference ability are significantly improved.
Design of FPGA-based data acquisition system for nanoparticle counting
Authors: Fan Cundong , Chen Liang , Li Yu 
Published: June 2024

Abstract
As one of the effective means to monitor the environment, the number of particles in the air is gradually developing towards smaller nanoparticles. To improve the acquisition speed of nanoparticle signals and the count of the number of particle signals, this paper adopts the FPGA of Altera as the main control chip, combined with the high-speed ADC AD9280. The sampling of the particle pulse signal is realized, and the collected data is transmitted to the host computer through serial communication. Through the designed peak detection algorithm, the algorithm is hardware accelerated to realize real-time continuous processing of particle signal, calculate the number of peaks, and then get the number of particles. In this paper, the hardware circuit and FPGA logic design of the system are described, and the acquisition system is tested. The results show that the system can meet the requirements.
Structural design and kinematic analysis study of ultrasonic flaw detection robot
Authors: Zhai Haoran , Zhang Ziming 
Published: June 2024

Abstract
A five-degree-of-freedom robot design scheme for liquid immersion ultrasonic flaw detection is proposed to address the challenges in complex surface ultrasonic flaw detection. To meet the requirements of underwater working environments, an XYZ+AB-type robot, which improves part of its structure, is adopted. A kinematic model of the robot is established using improved D-H parameters to obtain the forward and inverse kinematics of the robot. Based on the kinematic model, the simulation model of the robot is established by using the Matlab toolbox, which verifies the rationality of the design and the correctness of kinematics. The robot designed in this plan mainly targets thin-walled parts, such as aircraft skin and engine blades, with a repeat positioning accuracy of 0.01 mm and a detection speed of 120 mm/s. Compared with foreign high-degree-of-freedom penetrative flaw detection robots, the hardware cost of the robot in this plan can be reduced by half.
The Influence of the external meshing gears’ contact ratio on the contact stress in the transmission system
Authors: Li Fajia , Tang Xin , Liang Xiao , Sha Jian , Shen Rui , Liu Haining , Wu Ziheng 
Published: June 2024

Abstract
Using the Hertz contact theory, the calculation method of tooth contact stresses at different boundary points within the double tooth meshing zone for high contact ratio external meshing gear pair is investigated. The radius of curvature and pressure angle at each boundary point of the external meshing gear with a high contact ratio is given. The boundary point meshing coefficients are introduced to convert the comprehensive radius of curvature at the boundary point into the radius of curvature at the node, to make it in line with the form of calculation of the national standard. The analysis examines how the parameters affect the contact stress at different boundary points of the gear pair with a high contact ratio. When the contact ratio of the gears is 2, there is a sudden change in the contact stress on the tooth surface, and HCR gears have smaller contact stress than LCR gears.
Aerodynamic interaction characteristics analysis of intermeshing-rotor fuselage in hover
Authors: Yang Zhikun , Li Jingyang , Yu Hao , Baoyin Hexi 
Published: June 2024

Abstract
To study the interference characteristics of the intermeshing-rotor fuselage, a numerical simulation method for the flow field of a crossed twin-rotor helicopter in a hovering state is established based on the lattice Boltzmann method. The effectiveness of the proposed numerical simulation method is first verified by the ROBIN helicopter rotor/fuselage interference example. Then, taking the simplified JZ-60 rotor and S-97 helicopter fuselage as the research objects, the aerodynamic interference characteristics of the intermeshing rotor and the fuselage are investigated, and the aerodynamic interference law between the two under the hovering state is obtained. The results show that the intermeshing rotor has periodic tension fluctuation, and the fuselage interference leads to about a 4% increase in the total tension of the rotor. The maximum hovering efficiency increases by about 5%, and the larger the tension coefficient is, the larger the fuselage gains on the hovering efficiency is. The fuselage generates periodic negative lift and lateral force under the influence of the rotor. The hovering efficiency gains of the rotor mainly originate from the increases of the blade lift coefficients in the vicinity of the azimuth angles of 0° and 180°. The rotor is in the range of 0.5° and 180°, which has the strongest interference effect on the fuselage near 0.6 R and -0.7 R.
Research on the induced vibration force characteristics of lateral propulsion propeller
Authors: Zhong Yan , Zhang Liang , Lu Ben , Zhu Hua 
Published: June 2024

Abstract
This article conducts unsteady numerical calculations on lateral thrusters under arrival conditions, revealing the induced unsteady force characteristics under the interference between lateral thrusters and pod packages. The calculation results show that the lateral force and torque of the lateral propeller point towards the bow of the ship, and the main characteristic frequencies of pressure pulsation are blade frequency and its harmonics; The thrust and torque pulsation of the side thrusters on the bow side of the ship have maximum values; The bottom of the lateral thrust channel exhibits stronger pressure pulsation compared to other positions. The calculation results of this article determine the position and characterization form of the excitation force of the lateral thruster, providing a basis for the design of low-noise lateral thrusters.
Electromagnetic noise characteristics analysis and noise traceability in induction motor
Authors: Cheng Yiyang , Wang Zhen , Zhang Yuanxia 
Published: June 2024

Abstract
To investigate the electromagnetic vibration and noise issues in induction motors, this study employs a combined methodology of experimental, theoretical, and simulation approaches to analyze the characteristics of electromagnetic noise. Initially, a theoretical analysis of the radial electromagnetic force of the motor is conducted, followed by a simulation of the motor’s electromagnetic vibration and noise at a working condition of 3000 rpm, incorporating a Multiphysics coupled analysis of electromagnetic-vibration-noise. Vibration testing on a specific compressor motor reveals that the primary vibration noise characteristic frequency is centered around 2000 Hz. A comparison between simulation and experimental results shows a high degree of congruence, indicating the reliability of the simulation method. Subsequently, an acoustic camera kit, Brüel & Kjær PULSE Reflex, based on a beamforming method, is employed for noise source identification and acoustic holography testing at 3000 rpm, which successfully localizes the noise sources. The analysis and experiments provided herein can serve as a reference for the development of electromagnetic vibration noise suppression techniques in induction motors.
Analysis of crack propagation and life estimation of spiral bevel gears with root cracks
Authors: Yang Hang , Zhang Weiqing , Wang Ning , Tan Rulong 
Published: June 2024

Abstract
In order to study the effect of tooth root cracks on the fatigue life of spiral bevel gears, a certain spiral bevel gear was taken as the research object, and the mechanism of tooth root fatigue cracks was analyzed based on crack propagation theory; By combining the extended finite element method and the level set method, an initial crack propagation finite element model is established. The crack location of the gear teeth is determined through static analysis of the gear pair, and the influence of alternating loads on the initiation and propagation life of tooth surface cracks is studied. The analysis results indicate that the number of load cycles required for each crack propagation after its first occurrence gradually decreases; The crack propagation path of gear cracks under fatigue load is consistent with the actual tooth surface fracture surface; Realize life estimation from crack propagation to fracture failure.
Tracking control of flexible link manipulator with joint space constraints
Authors: Jing Feng , Ma Caiwen , Cao Yu , Xie Meilin , Wang Fan , Liu Peng , Fan Xiao 
Published: June 2024

Abstract
A controller design with system uncertainties, external disturbances, and joint space constraints for a flexible link manipulator (FLM) is presented in this paper. To overcome the lumped disturbance and ensure that the joint space constraints are not violated, a finite-time extended state observer (ESO) and a barrier Lyapunov function are constructed. Using Lyapunov’s theory, the error of the system is proved to be semi-globally ultimately uniformly bounded without violating the constraints. Finally, the rationality of the proposed methodology is verified by numerical simulation.
Visual evaluation and information improvement method of smart factory layout based on information value added
Authors: Wang Jikai , Dou Yajie , Ouyang Weijun , Dai Yulong , Yang Kewei 
Published: June 2024

Abstract
The process of Industry 4.0 is constantly promoted. In order to realize the high-quality connotation development of enterprises, manufacturing enterprises need to carry out information transformation and upgrading. The technology of information flow analysis can consistently assess the worth of the factory, overcome existing technical challenges, and achieve intelligent modernization and enhancement of the system. This study presents a visualization and evaluation of the factory’s layout, production lines, and workstation from three perspectives: macro, meso, and micro. To begin, a value added heat map (VAHM) is created by examining the visualization technique for information value added information (IVA). This analysis aims to assess the extent of information wastage in terms of the factory’s physical space, resources, and staff. Additionally, a method for analyzing the information gain of a production line, which is based on the concept of distributed cognition, is introduced. This method evaluates the production line by integrating the economic principle of information processing (EPIP). Furthermore, when assessing complexity, the volume of information in workstations is measured and enhanced by applying the principle of information processing economy. Ultimately, the method’s validity and feasibility are confirmed by applying it to real-world manufacturing industry scenarios.
Research on tightly coupled SLAM method based on LiDAR/IMU
Authors: Zhan Yiyuan , Wang Yong , Li Yanqiang , Du Qian , Qi Xiaobin 
Published: June 2024

Abstract
Aiming at the problems of insufficient accuracy and serious computational time-consumption of mainstream laser odometry schemes, this paper proposes an innovative solution, where the front end is based on the idea of iterative Kalman filtering, which realizes the tight coupling of inertial measurement unit (IMU) and LiDAR to obtain high-precision position and attitude estimation. The back-end optimization employs a factor graph approach, incorporating laser odometry, IMU preintegration, and loop closure detection factors. In comparison with state-of-the-art laser SLAM algorithms, the SLAM algorithm proposed in this paper reduces the absolute position error of trajectories by 9.61%, 91.03%, and 94.89% compared to Fast-lio2, Lego-loam, and a-loam, respectively.
Tool wear image segmentation algorithm based on K-means clustering
Authors: Liu Bengang , Wu Wenjiang , Zhang Yunpeng , Dong Zeguang , Li Baode 
Published: June 2024

Abstract
The existing tool wear region segmentation and detection methods make it difficult to achieve accurate detection of tool wear images under the conditions of noise interference. To further improve the detection efficiency and detection accuracy, combined with the characteristics of tool wear, this paper proposes a tool wear image segmentation algorithm based on K-means clustering to achieve accurate detection of tool wear images. Firstly, the acquired image is pre-processed to reduce the image processing computation and optimize the image, filter out the noise, and reduce the interference of the image. Then K-means clustering is used to cluster the surface features of the image, and then a threshold segmentation algorithm is used to locate the tool wear area and segment it out. The final experimental results show that the segmentation accuracy of this method is high and can be applied to tool wear area detection.
Research on four-sided differential localization algorithm for automated guided vehicles based on ultra-wideband
Authors: Sha Jinzhao , Zhang Shouxiang 
Published: June 2024

Abstract
To meet the high-precision positioning and navigation requirements of automated guided vehicles (AGV) in environments such as factories and workshops, this study utilizes ultra-wideband (UWB) positioning technology and designs a multi-tag differential localization algorithm to enhance the positioning accuracy of AGV. Starting from the current research status of AGV positioning and navigation, the paper provides a detailed introduction to the concept, process, and practical applications of the UWB differential localization algorithm. The maximum static positioning accuracy for UWB is 64 mm, and the maximum dynamic positioning accuracy is 222 mm, thereby meeting the requirements for AGV positioning and navigation.
Research on an optimal allocation method of energy storage system for peak-shaving and valley-filling
Authors: Xu Pengfei , Jiang Ruofei , Tian Xing , Cao Jiajing , Li Guojie , Zhang Tong , Li Yan , Wang Qing , Liu Hongwei 
Published: June 2024

Abstract
In recent years, the economy has developed rapidly, and the power load has also increased substantially. As a result, the peak-valley load gap also increases gradually, which is not conducive to the stable operation of the power grid. Energy storage system (ESS) has the function of time-space transfer of energy and can be used for peak-shaving and valley-filling. Therefore, an optimal allocation method of ESS is proposed, which is applied to reduce the load gap between peak and valley. Firstly, load standard deviation is used as the index of peak-shaving and valley-filling effects. The comprehensive cost of the ESS is converted to days as an economic indicator. Then, the comprehensive cost and load standard deviation are taken as the optimization objectives and are linearly weighted. Finally, the GUROBI toolkit is called in MATLAB to solve the example, and the optimal allocation of the ESS is obtained. By comparing the load curves before and after the allocation of ESS, the analysis shows that the peak-valley difference of load decreases after the ESS is configured, which proves that the optimal allocation method of ESS is effective.
Optimization of multi-integrated energy microgrid scheduling under carbon trading mechanism
Authors: Lin Hong , Ma Yue 
Published: June 2024

Abstract
Realizing the power transaction and benefit distribution among multi-integrated energy microgrids with different interests in the system, a multi-microgrid cooperative operation optimization scheduling method under a carbon-trading mechanism is proposed. Considering the microgrid’s electric energy interaction, a model of multi-microgrid cooperation is established. The multi-microgrid cooperative game model is equivalently transformed into two sub-problems, multi-microgrid cooperative operation cost minimization and internal power transaction bargaining, and to solve the two sub-problems successively. The simulation results show that the method is valid.
Convex optimization topology identification of distribution network under distributed conditions
Authors: Zhou Yujie , Li Zhuoqin , Bao Xingyu , Mo Bowen 
Published: June 2024

Abstract
The distributed phenomenon will occupy a very important proportion in the future distribution network. In order to ensure the stable operation of the power system, it is very important to study the topological adaptability identification of new distribution networks. In this paper, an adaptive topology identification regression matrix for a low-voltage distribution network is proposed, which is combined with a convex optimization algorithm to build a topology identification model for a low-voltage distribution network. This method can identify the topology of the distribution network accurately, which is helpful to improve the operation efficiency and safety of the power system.
Research on power transformer maintenance strategy based on case-based reasoning
Authors: Zhong Yuanchen , Yuan Ting , Chen Bibo , Fan Guangliang 
Published: June 2024

Abstract
In the past, the development of transformer maintenance strategies mostly used information data from a single source, and the final strategy was too general, unable to intelligently and automatically achieve effective guidance for equipment operation and maintenance. Based on existing case sets, this article studies case representation, feature attributes and weights, and a maintenance decision algorithm based on case-based reasoning. Firstly, the structural similarity between the target problem and the source case is analyzed, then the similarity between the two attributes is analyzed, and finally, the global similarity is calculated to modify and reuse the maintenance strategy of historical cases and retain new cases. The results show that the fault characteristics of the power transformer can be accurately grasped, and a reasonable maintenance strategy can be formulated to reduce the maintenance cost.