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Latest articles for Journal of Physics: Conference Series

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  • Static characterization analysis and parameter optimization of composite throttle bearing based on Adaptive Particle Swarm Algorithm
    In this paper, a composite throttled hydrostatic gas bearing based on annular surface throttling is proposed to improve the static characteristics of hydrostatic gas bearings. The effects of various design parameters on the static characteristics of composite throttled gas bearings are investigated using computational fluid dynamics. An adaptive particle swarm optimization algorithm (APSO) is used to optimize the parameters for the obtained data to obtain the desired design parameters, and experiments are conducted to confirm the accuracy of the results. The results show that the composite throttle bearing has obvious effect on improving the load capacity and stiffness. When the thickness of the gas film is unchanged, the number of throttle holes and the throttle diameter are proportional to the load capacity of the gas bearing, and the distribution radius of the throttle holes on the bearing is inversely proportional to the load capacity. The change of parameters does not affect the stiffness in a regular way, and the maximum errors of the load carrying capacity and stiffness of the optimized data compared with the measured values are 5.6% and 7.6%, respectively. This paper provides a reference for the application of composite throttle bearings in ultra-precision machining equipment, which improves the efficiency of design and manufacturing through algorithms, and provides new avenues of exploration for subsequent more in-depth research.

  • Preface
    The Committee of the 2025 3rd International Symposium on Mechanical Engineering and Advanced Manufacturing Intelligent Technology (MEAMIT2025) is delighted to present the MEAMIT2025 proceedings. MEAMIT2025 is organized by Harbin University of Science and Technology, China. Observing the rapid development of global engineering and physics applications and considering the trends of academic research development, the MEAMIT2025 Committee decided to develop the third event to an international symposium. The symposium was held successfully on January 10-12, 2025 in Harbin, China. This event conducted a series of in-depth discussions on various relevant topics of Mechanical Engineering and Advanced Manufacturing Technology, such as Mechanical Manufacturing and its Automation, Mechatronics Engineering, Equipment and Control Engineering, Intelligent Manufacturing and so on. It provided opportunity for the participants to understand the development and innovation to the fields and promote academic exchanges and cooperation. The proceedings of MEAMIT2025 cover a wide range of topics. Each paper has undergone a double-blinded peer-review process to ensure its academic standards. We hope the proceedings can present significant research in the fields and inspire future collaborations and innovations. List of Committees are available in this PDF.

  • Peer Review Statement
    All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double Anonymous • Conference submission management system: Morressier • Number of submissions received: 24 • Number of submissions sent for review: 22 • Number of submissions accepted: 22 • Acceptance Rate (Submissions Accepted / Submissions Received × 100): 91.7 • Average number of reviews per paper: 2 • Total number of reviewers involved: 5 • Contact person for queries: Name: MEAMIT COMMITTEE Email: MEAMIT@163.com Affiliation: Harbin University of Science and Technology

  • A study on modeling and trajectory planning of a Delta robot based on V-REP and MATLAB co-simulation
    With the rapid development of intelligent manufacturing field, robot modeling and simulation technology plays a crucial role in improving production efficiency and quality. However, the existing simulation methods have poor modeling capability, poor scalability and openness when dealing with complex robot systems, and cannot meet the requirements of fast and accurate robot control. In this paper, a robot virtual modeling and trajectory planning simulation method is proposed, using the powerful computational ability of MATLAB and the advantages of Virtual Robot Experimentation Platform (V-REP) physical attribute simulation. It imports the model created in Solidworks into the V-REP 3D simulation environment, builds a virtual prototype of the Delta robot, and uses the Non-uniform rational B-spline (NURBS) spline curve method to accurately plan and simulate the robot’s trajectory in MATLAB software. The robot trajectory was accurately planned and simulated using the NURBS spline curve method in MATLAB software. The experimental results prove that the method can generate accurate parallel robot motion paths according to the robot motion parameters, and the method can effectively shorten the design cycle, improve the efficiency of research and development, and provide an efficient means for robot motion simulation, as well as provide a certain reference for similar simulations.

  • Adaptive event-triggered control of multiple robotic manipulators with predefined performance
    A In this paper, adaptive event-triggered control with predefined performance is proposed for multiple robotic manipulators under disturbances. The existing performance control often needs to check whether the initial state is satisfied or not which undoubtedly increases the workload greatly. In response, this paper designs a new predefined performance control (PPC) that satisfies all initial states. Although existing event triggers can reduce communication resources, it often neglects the control performance. Therefore, this paper designs the relative threshold dynamic event triggering (DETM) based on the change of system error to realize the balance of control performance and communication resources. Finally, the effectiveness of the proposed method is demonstrated by simulation results. The proposed PPC satisfies the performance constraints of different states of the robotic manipulator. And the DETM reduces communication resources by more than 98%.