bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lateral Control of Autonomous Concrete Mixer Truck Based on Multiple Look Ahead Distances and Fuzzy Controller
Authors: Fu Ling , Yang Qiangrong , Liu Yanbin 
Published: June 2024

AbstractAutomated driving and working have been attracted considerable attention in the construction machinery industry due to their safety and efficiency. In this paper, multiple look ahead distances are calculated for lateral error and heading-angle error and multiple fuzzy inference engines are proposed with vehicle speed and the above-mentioned errors. Moreover, a kinematic model of mixer truck was proposed in this paper to address the length and width of the concrete mixer truck. Satisfactory simulation and experimental results have been obtained for different reference paths.
Research on Bilateral Servo Control Strategy for the 3T Redundant Freedom Parallel Robot
Authors: Gong Mingde , Hu Kongming , Zhang Yue 
Published: June 2024

AbstractIn this paper, a force feedback position bilateral servo control strategy with position difference compensation for a 3T redundant degree of freedom parallel robot is proposed. We have designed master and slave controllers based on fuzzy control, and conducted single motor bilateral servo control experiments and single branch bilateral servo control experiments on the experimental platform. The experimental results show that this method can effectively reduce the error accumulation caused by using non redundant inverse kinematics methods to solve redundant parallel robots, and maintain good position following performance of the master slave robot, Improved the transparency of force displacement control in the master–slave remote control robot system.
A Review of Intelligent Vehicle Trajectory Tracking Control Methods Based on Overtaking Lane Change Scenarios
Authors: Yang Dongzhao , Hu Lin , Yi Xiaojian , Zhang Xin 
Published: June 2024

AbstractIn order to achieve safe, comfortable, and stable control of lane-changing trajectories for intelligent vehicles, this paper reviews various trajectory tracking control methods for intelligent vehicles. Focusing on overtaking lane-changing trajectories, the paper provides a comprehensive review of research progress in PID, LQR, MPC, and SMC control methods both domestically and internationally. Striking a balance between addressing the challenges posed by non-integrity and multiple constraints of the vehicle, coping with the time-variability of the vehicle dynamics model, and ensuring the accuracy and computational efficiency of the vehicle model is essential for fostering the continuous development and enhancement of intelligent vehicle technology.
Dynamic Synovial Control Method of Four-Cable-Driven Parallel Robot Based on Interference Observer
Authors: Zhang Ke , Xu Jiabao , Tong Shenghao , Shi Huaitao , Duo Zhiqiang , He Cai 
Published: June 2024

AbstractAiming at the problem of high-precision trajectory tracking of four-cable-driven parallel robot, a dynamic non-singular fast terminal sliding mode surface based on the estimation output of interference observer is proposed. Firstly, based on the combination of traditional fast terminal sliding mode control and non-singular terminal synovial control, the estimation value of interference observer is introduced, and a new nonlinear sliding mode surface is established to suppress the influence of unknown disturbance, and at the same time track the desired trajectory from unstable state to steady state. Based on the Lyapunov stability theory of the controller, the effectiveness of the control scheme is proved. Finally, in the Matlab/Simulink environment, a comparative simulation with the existing linear synovial film and non-singular fast terminal sliding mode is carried out, and the designed control method realizes high-precision fast tracking of the desired trajectory of the end grab under the uncertainty of modeling error, external interference and joint friction, which verifies the effectiveness and feasibility of the proposed control method.
Research on Path Tracking Control of Driverless Trucks
Authors: Song Wei , Min Junying , Zhang Tao , Zhang Yong , Zhao Fengkui 
Published: June 2024

AbstractPath tracking is a crucial function for achieving unmanned driving. This paper addresses the challenge of low tracking accuracy and poor stability in driverless trucks caused by uncertain model parameters and steady-state errors during path tracking. A linear quadratic regulator (LQR) controller optimization by an improved genetic algorithm has been designed. Firstly, the paper formulates the dynamic model of a two-degree-of-freedom vehicle as well as the model for tracking error. Subsequently, path tracking control is achieved through the utilization of feedforward control and LQR feedback control algorithms. Secondly, the weight coefficient of the LQR controller is enhanced through the utilization of an improved GA in order to boost the precision of path tracking. Ultimately, the devised controller undergoes simulation and validation in the TruckSim-Matlab/Simulink platform across diverse operational circumstances. The findings from the simulation demonstrate that the controller, optimized through improvements in the genetic algorithm, exhibits excellent tracking accuracy and stability.
Prediction of Mechanical Properties and Analysis of Damage Evolution of Fiber Bundles in Carbon Fiber Reinforced Composite Materials
Authors: Guo Rongjiao , Yan Renjun 
Published: June 2024

AbstractFiber bundles are an important component of woven composite materials, and predicting the mechanical properties of fiber bundles can provide a basis for the study of the mechanical properties of woven composite materials. This paper establishes the micro representative volume element (RVE) model of composite materials, and obtains the equivalent elastic constant of yarn through the model homogenization theory and periodic boundary conditions. Strength prediction is performed through the VUMAT user subroutine of ABAQUS. This paper uses the maximum stress standards and Von Mises standards to predict the damage initiation of TC33 carbon fiber and epoxy resin matrix, respectively. Combined with the constant degradation method, the simulation of the damage behaviors of the micro model is achieved, and the equivalent strength of the fiber bundle is obtained. The effectiveness and correctness of this method are verified by comparing the numerical model results with the Chamis theoretical model results. The accurate prediction of mechanical properties and damage process of fiber bundles provides theoretical support for the analysis of mechanical properties of composites, and has guiding significance for the performance design of composite materials.
An Efficient Strategy for Creep-Fatigue Assessment of Pipelines with Complex Local Structures and High Computational Demands
Authors: Han Mingda , Liu Hetong , Tang Yujian , Zhang Yibo , Zhang Weixu 
Published: June 2024

AbstractThermal pipelines are extensively utilized in power plants, and they operate in high-temperature and high-pressure environments. Consequently, creep and fatigue are two crucial factors that need to be considered in the design and operation of main pipelines. Assessing the safety of main pipelines considering creep-fatigue is of paramount importance. However, the current assessment of main pipelines faces challenges such as large computational requirements and susceptibility to complex local structures, making efficient evaluation a longstanding problem. Furthermore, there is a lack of commercially available software capable of automating the creep-fatigue assessment for structurally discontinuous pipelines. To address these issues, this paper proposes an efficient strategy for evaluating creep-fatigue in pipelines with complex local structures and significant computational requirements. By approximating non-critical irregular pipelines with equivalent stiffness of regular pipelines, computational accuracy and efficiency are improved. The proposed approach also enables the identification of critical locations prone to creep-fatigue. Additionally, a post-processing software based on ASME standards and utilizing existing commercial finite element software has been developed to automate the assessment of main pipelines. Compared to other computational strategies, this approach significantly enhances computational efficiency.
Research on the Swing Characteristics of Lifting Load Based on the Contact Relationship Between Pulley and Wire Rope
Authors: Cao Xuyang , Xu Zhihe , Wang Siqi 
Published: June 2024

AbstractIn the process of lifting operations, the complex contact relationship of the rope-pulley system is inevitably related to the swing of the lifting load. However, in previous research, the quality of the pulley and wire rope is often overlooked and the wire rope is simplified as a spring. The object of this paper is to use virtual prototyping technology to establish the rope-pulley system model that the mass and contact relationship of the pulley and wire rope are considered, and to investigate the influence of the contact relationship of the rope-pulley system on the swing characteristics of the lifting load. According to the characteristics of the rope-pulley system, the matching parameters and winding ratio of the rope-pulley system are selected as the research variables. The research method of this paper is to establish three discrete system simulation models of the rope-pulley system with different winding ratio by ADAMS/Cable module. Simulation results show that as the winding ratio of the rope-pulley system increases, the swinging amplitude of the lifting load increases; and the change in wire rope diameter has a more obvious effect on the sway of the lifting load than the change in the angle of pulley groove. The results of the study can provide a certain reference for the study on the swing of lifting loads with the rope-pulley system.
Moment-Frequency Characteristics of Limited-Angle Torque Motors for Direct-Drive Servo Rotary Valve
Authors: Shan Junfeng , Shi Youcheng , Ji Hong , Cao Shengbing , Li Zheng , Zhang Hucheng 
Published: June 2024

AbstractDirect-drive rotary valve (DDRV) is directly driven by a limited-angle torque motor (LATM), which is characterized by anti-pollution, high efficiency and high frequency response. A LATM is designed for the DDRV. The main dimensions and electromagnetic parameters of the motor are calculated by analytical expression of electromagnetic torque. The torque–angle characteristics and torque characteristics of LATM were analyzed by using finite element method for ensure that the motor can have stable torque output in a wide range of turning angle, the results of theoretical and simulation agree well. On the basis, the motor was improved. The results show that the motor has a working angle of ≥±20°, the torque fluctuation within the working angle is less than 5%, and is suitable for driving the DDRV.
Simulation Research on Cutting of Shield Machine Cutter Tool Based on Anisotropic Composite Materials
Authors: Wang Qiuping , Li Wanli , Wang Daozhi 
Published: June 2024

AbstractIn order to study the cutting force and variation of anisotropic composite materials such as plastic vertical drainage board left in soft soil foundation by the cutter on the cutterhead of shield machine. Finite element model of orthogonal cutting theory based on macroscopic anisotropic composite materials was established by numerical simulation. Based on the above model, the finite element analysis software LS-DYNA was used to numerically simulate the cutting of plastic vertical drainage board by shield machine cutter in a project in Singapore. Meanwhile, the single cutter test device and triaxial force sensor were used to build a test platform to focus on the cutting ability test of the cutting tool on the plastic vertical drainage board under the cutting conditions of 0° and 90°. The validity and rationality of the simulation model are verified by comparing the simulated cutting force value with the experimental value. The results show that the cutting process of the plastic vertical drainage board is from the notch generation to the notch expansion and then to the final breaking process. So it can be concluded that the sharp-edge cutter is more suitable for the cutting of the plastic vertical drainage board. In the actual construction, ensuring the wear resistance and impact resistance of the sharp-edge cutter is the key to improve the service life. Sponsored by Shanghai Rising-Star Program (22QB1401900).
Study on Wind-Induced Response and Wind Vibration Coefficient of Tower Crane Under Different Wind Speed Spectra Excitation
Authors: Wang Xiangxiang , Zhang Hongsheng , Liu Wenwu 
Published: June 2024

AbstractThe wind-induced response and wind vibration coefficient of tower cranes under different wind speed spectra and wind direction angles are investigated to reveal the influence of wind speed distribution on the wind vibration characteristics of tower cranes. Firstly, the theoretical formula for the wind vibration coefficient based on random vibration theory is derived. Then, the APDL modeling method establishes a parametric finite element analysis model with the QTZ25 tower crane as a research object, and wind speed time history at various heights is simulated using the harmonic synthesis method. Finally, the wind speed is converted into wind loads, and the finite element model of the QTZ25 crane is subjected to random vibration analysis and spectra analysis under wind loads. The displacement time history response and displacement power spectral density at different heights are obtained, and the wind vibration coefficients are derived accordingly. The analysis results show that the wind vibration coefficient in descending order is Simiu, Davenport, and Harris wind speed spectra excitation (WSSE), respectively. The maximum deviation of the wind vibration coefficient is 12.01% at 26.09 m height with a 45° wind direction angle. In contrast, the maximum deviation of the wind vibration coefficient is 18.57% at the same height with a 0° wind direction angle. This study demonstrates that the wind-induced response of the QTZ25 tower crane remained the same under different wind speed spectra. Meanwhile, the wind vibration coefficient varied for different heights and wind direction angles, and the wind vibration coefficient was higher under Simiu WSSE and lower under Harris WSSE.
Research Progress of Remanufacturing Technology in the Field of Construction Machinery
Authors: Wang Kaiming , Liu Wei , Pang Xiaotong , Hu Yongle , Tong Yonggang 
Published: June 2024

AbstractExcavator bucket teeth are often in direct contact with abrasive particles in the soil during work, resulting in the tip being severely worn. This study used laser cladding to synthesize (Ti, Nb)C reinforced coatings on the surface of Q550 steel of bucket teeth of commonly used excavators to improve the wear resistance, and researches the effects of different Ti, Nb, Cr3C2 powder ratios on the hardness, wear resistance, and wear loss of laser cladding (Ti, Nb)C reinforced coatings. The results show that the optimal powder ratio is 80% Ni-based + 1.26% Ti + 7.54% Nb + 11.2% Cr3C2. Under the optimal powder ratio, the hardness of the coating is 213.4 HV, the wear amount is 32.7 mg, and the wear failure form is abrasive wear and slight adhesive wear.
A Fast Vision-Based Algorithm for Automated Container Pose Measurement System
Authors: Zhang Yujie , Mi Chao 
Published: June 2024

AbstractAddressing the current issues of low accuracy in container positioning and posture recognition, as well as long response times during the port automation loading and unloading process, this paper designs a rapid container target recognition and measurement device and method for automated loading and unloading, thereby optimizing the acquisition of key parameters in automated loading and unloading operations. This method combines advanced convolutional neural networks and traditional image processing algorithms to achieve precise detection and tracking of container corner fittings. Furthermore, this paper proposes a high-speed response method for small target measurement, which integrates minimized deep learning network technology and fuzzy image morphology matching algorithms to enhance the accuracy and stability of corner fitting detection. Through experimental verification, this method effectively improves the speed of single detection and reduces the localization error of small targets.
The Relationship Between “Nominal Pressure” and Pressure Terms Related to Lightweight Design and Manufacture of Hydraulic Cylinders
Authors: Liu Yao , Zhao Jingyi , Guo Rui , Tang Yingda 
Published: June 2024

AbstractLightweight design and manufacture of hydraulic cylinders is receiving increasing attention in construction machinery and vehicle engineering. Hydraulic cylinders, designed based on some current standards such as JB/T 10205-2010 hydraulic cylinder, have a common issue that they need to be built with a large size. This “thick and heavy” is not conducive to improving equipment performance and achieving energy conservation and emission reduction. This paper identified the root causes leading to that issue and managed to make clear the interrelation between terms used in the “nominal pressure” system and the lightweight design and manufacturing method of hydraulic cylinders. A set of novel specifications to design and test hydraulic cylinders have also been proposed which adopts the “rated pressure” as the base parameter, after referring to some related standards. Furthermore, this approach would solve the lightweight problem of hydraulic cylinder manufacturing and lay a reliable foundation for the promotion of hydraulic cylinder technology in China.
Comparative Analysis of Mathematical Models of Hydro-pneumatic Suspension Damping
Authors: Li Zeguang , Li Laiping , Huang Wei 
Published: June 2024

AbstractAt present, for the study of the dynamic characteristics of the hydro-pneumatic suspension of vehicles, the elastic force is mainly modeled by the variable gas equation of state, and the damping force is modeled by thin-walled orifice theory, which only considers the turbulent flow. Here, based on expressing the whole flow field including laminar flow, transition flow, and turbulence with piecewise function, the turbulence region is modeled by the Brasius formula and thin-walled orifice theory respectively. By applying vibration signals collected from real roads, the responses of two piecewise function damping force models and traditional thin-walled orifice model of 1/4 suspension system in the time domain and frequency domain respectively are calculated. The average absolute error MAE and root mean square error RSME are used to compare them with the real upper fulcrum data of the suspension cylinder. The results show that different models can simulate suspension vibration well in the low-frequency range, but there are obvious deficiencies in the middle and high-frequency range, while the short-hole flow theoretical model in the form of a piecewise function is closer to the real value in the frequency domain.
Plastic Constitutive Relation for Improving the Calculation Accuracy of Mechanical Performance of Die-Cast Al-Si Aluminium Alloy Products
Authors: Wang Xueqiang , Peng Liming , Li Siping 
Published: June 2024

AbstractWith the interaction in automobile manufacturing technology, products made of integrated die-cast aluminum alloy are becoming more and more widespread. However, engineers frequently ignore the impact of structural features on mechanical properties when utilizing simulation software to determine a product's strength, and current constitutive models do not account for structural flaw studies. To examine the correlation between structural flaws and mechanical properties of the die-cast aluminum alloy, quasi-static tensile tests were performed on JDA1b alloy specimens. The defect rates were varied by adding circular holes with varying diameters at the center of the specimens. The results showed that the JDA1b alloy’s tensile strength and elongation significantly decreased as the fault rate increased. A constitutive model with defect rates is proposed, which has higher accuracy than the J–C model. Simulations and experimental findings effectively validated the accuracy of the proposed constitutive model. The proposed model provides support for high-precision computing for analyzing the mechanical performance of materials.
High Temperature Creep Property of Nanoparticle Reinforced Composite by Discrete Dislocation Dynamic Method
Authors: Wang Jian , Zhang Zhengwei , Zhang Kai , Zhang Hua 
Published: June 2024

AbstractMetal-matrix composites (MMCs) reinforced by nanoparticles exert much fine mechanical performance such as high strength, high modulus and good conductivities. The creep property of nanoparticle reinforced MMCs is investigated by discrete dislocation dynamic (DDD) method in this study. Both motions of dislocation glide and climb are involved in the present scheme and a dual time step strategy is adopted to deal with the velocity gap between dislocation glide and climb. The results reveal a transition of creep mechanism as the creep stress increases, and a negative correlation between the threshold stress and the environmental temperature.
Research on Path Planning of Concrete Pouring Construction Robot Based on Online Obstacle Avoidance Algorithm
Authors: Fan Siwen , Li Wanli , Yin Ruihao 
Published: June 2024

AbstractAiming at the problem of harsh concrete construction environment and low level automation of concrete pouring operation, this paper proposes an autonomous concrete pouring planning method based on real-time obstacle avoidance algorithm. A new 3-DoF articulated concrete pouring robot is designed and kinematically modeled. Rectangular fitting is adopted to simplify irregular obstacles. Then generate obstacle maps and apply intelligent obstacle avoidance algorithms based on the maps, which adopt the reward mechanism in reinforcement learning. The effectiveness of the proposed method in autonomous obstacle avoidance path planning for pouring robots is demonstrated through simulation and prototype experiments.
Customer Needs Assessment and Screening for Transmission Solution Selection
Authors: Wang Hegen 
Published: June 2024

AbstractWhen selecting technology for transmission in the process of product development and design, various methods available for choose ideal solution from many different technical alternatives. However, this does not guarantee that a very good developed product will achieve ideal market result. This is often because there is a difference between the functionalities provided by the product and the actual customer demands. This article explores the use of the KANO model to analyze customer requirements in the early stages of product development. By categorizing customer needs and selecting the ideal solution based on different categories of customer needs, it ensures that the product development aligns with customer demands.