The Experts below are selected from a list of 10833 Experts worldwide ranked by ideXlab platform

Jinsong Wang - One of the best experts on this subject based on the ideXlab platform.

  • trajectory smoothing method using reinforcement learning for Computer Numerical Control machine tools
    Robotics and Computer-integrated Manufacturing, 2020
    Co-Authors: Bingran Li, Hui Zhang, Peiqing Ye, Jinsong Wang
    Abstract:

    Abstract Tool-path codes output by Computer-aided manufacturing software for high-speed machining are composed of discontinuous G01 line segments. The discontinuity of these tool movements causes Computer Numerical Control (CNC) inefficiency. To achieve high-speed continuous motion, corner smoothing algorithms based on pre-planning methods are widely used. However, it is difficult to optimize smoothing trajectories in real-time systems. To obtain smooth trajectories efficiently, this paper proposes a neural network-based direct trajectory smoothing method. An intelligent neural network agent outputs servo commands directly based on the current tool path and running state in every cycle. To achieve direct Control, motion feature and reward models were built, and reinforcement learning was used to train the neural network parameters without additional experimental data. The proposed method provides higher cutting efficiency than the local and global smoothing algorithms. Given its simple structure and low computational demands, it can easily be applied to real-time CNC systems.

Xu Du - One of the best experts on this subject based on the ideXlab platform.

  • parallel acceleration deceleration feedrate scheduling for Computer Numerical Control machine tools based on bi directional scanning technique
    Proceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture, 2019
    Co-Authors: Jie Huang, Xu Du
    Abstract:

    The acceleration/deceleration feedrate scheduling is one of the most important techniques in Computer Numerical Control systems. Along with this technique, the bi-directional scanning technique is always employed. The bi-directional scanning technique consists of a backward scanning process followed by a forward scanning process. The two scanning processes in the conventional methods are executed in a serial manner by scanning through all the scheduling blocks one by one. Consequently, the feedrate scheduling will suffer from a heavy computational burden when there are massive blocks to be scanned, which deteriorates its real-time performance for Computer Numerical Control machining. To alleviate the computational burden, a parallel acceleration/deceleration feedrate scheduling approach is proposed in this article. With this method, the scheduling blocks are splitted into several scheduling units and the feedrate for each of them is scheduled simultaneously. The feasibility of the proposed approach is val...

  • a locally optimal transition method with analytical calculation of transition length for Computer Numerical Control machining of short line segments
    Proceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture, 2018
    Co-Authors: Xu Du, Jie Huang
    Abstract:

    Line segments, or G01 codes, generated by Computer-aided manufacturing softwares are the most widely used toolpath format for Computer Numerical Control systems. The linear toolpath normally consists of thousands of short line segments due to the high-accuracy requirement of the machined parts. Due to the tangential and the curvature discontinuities at the junction of two segments, the feedrates at the start and the end points of line segment have to be slowed down. In order to increase the feedrates along short line segments, a locally optimal transition method is proposed, which uses a two-step strategy to generate a blended toolpath composed of cubic Bezier curves and line segments. In the first step, the optimal proportional coefficient is represented as the function of the angle between two adjacent line segments, which can be employed to minimize the curvature variation energy of the cubic Bezier curve. In the second step, the local optimization model with the aim to minimize the sum of two curvatur...

  • Parallel acceleration/deceleration feedrate scheduling for Computer Numerical Control machine tools based on bi-directional scanning technique:
    Proceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture, 2017
    Co-Authors: Jie Huang, Xu Du
    Abstract:

    The acceleration/deceleration feedrate scheduling is one of the most important techniques in Computer Numerical Control systems. Along with this technique, the bi-directional scanning technique is always employed. The bi-directional scanning technique consists of a backward scanning process followed by a forward scanning process. The two scanning processes in the conventional methods are executed in a serial manner by scanning through all the scheduling blocks one by one. Consequently, the feedrate scheduling will suffer from a heavy computational burden when there are massive blocks to be scanned, which deteriorates its real-time performance for Computer Numerical Control machining. To alleviate the computational burden, a parallel acceleration/deceleration feedrate scheduling approach is proposed in this article. With this method, the scheduling blocks are splitted into several scheduling units and the feedrate for each of them is scheduled simultaneously. The feasibility of the proposed approach is val...

Jie Huang - One of the best experts on this subject based on the ideXlab platform.

  • parallel acceleration deceleration feedrate scheduling for Computer Numerical Control machine tools based on bi directional scanning technique
    Proceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture, 2019
    Co-Authors: Jie Huang, Xu Du
    Abstract:

    The acceleration/deceleration feedrate scheduling is one of the most important techniques in Computer Numerical Control systems. Along with this technique, the bi-directional scanning technique is always employed. The bi-directional scanning technique consists of a backward scanning process followed by a forward scanning process. The two scanning processes in the conventional methods are executed in a serial manner by scanning through all the scheduling blocks one by one. Consequently, the feedrate scheduling will suffer from a heavy computational burden when there are massive blocks to be scanned, which deteriorates its real-time performance for Computer Numerical Control machining. To alleviate the computational burden, a parallel acceleration/deceleration feedrate scheduling approach is proposed in this article. With this method, the scheduling blocks are splitted into several scheduling units and the feedrate for each of them is scheduled simultaneously. The feasibility of the proposed approach is val...

  • a locally optimal transition method with analytical calculation of transition length for Computer Numerical Control machining of short line segments
    Proceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture, 2018
    Co-Authors: Xu Du, Jie Huang
    Abstract:

    Line segments, or G01 codes, generated by Computer-aided manufacturing softwares are the most widely used toolpath format for Computer Numerical Control systems. The linear toolpath normally consists of thousands of short line segments due to the high-accuracy requirement of the machined parts. Due to the tangential and the curvature discontinuities at the junction of two segments, the feedrates at the start and the end points of line segment have to be slowed down. In order to increase the feedrates along short line segments, a locally optimal transition method is proposed, which uses a two-step strategy to generate a blended toolpath composed of cubic Bezier curves and line segments. In the first step, the optimal proportional coefficient is represented as the function of the angle between two adjacent line segments, which can be employed to minimize the curvature variation energy of the cubic Bezier curve. In the second step, the local optimization model with the aim to minimize the sum of two curvatur...

  • Parallel acceleration/deceleration feedrate scheduling for Computer Numerical Control machine tools based on bi-directional scanning technique:
    Proceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture, 2017
    Co-Authors: Jie Huang, Xu Du
    Abstract:

    The acceleration/deceleration feedrate scheduling is one of the most important techniques in Computer Numerical Control systems. Along with this technique, the bi-directional scanning technique is always employed. The bi-directional scanning technique consists of a backward scanning process followed by a forward scanning process. The two scanning processes in the conventional methods are executed in a serial manner by scanning through all the scheduling blocks one by one. Consequently, the feedrate scheduling will suffer from a heavy computational burden when there are massive blocks to be scanned, which deteriorates its real-time performance for Computer Numerical Control machining. To alleviate the computational burden, a parallel acceleration/deceleration feedrate scheduling approach is proposed in this article. With this method, the scheduling blocks are splitted into several scheduling units and the feedrate for each of them is scheduled simultaneously. The feasibility of the proposed approach is val...

Chong Peng - One of the best experts on this subject based on the ideXlab platform.

  • Research on Soft Fault of Computer Numerical Control System
    Chemical engineering transactions, 2013
    Co-Authors: Chong Peng
    Abstract:

    Computer Numerical Control (CNC) system can be seen as the core of manufacturing and its reliability should be paid much attention to. Soft fault of CNC system occupies a large proportion in failure, but it is hard to diagnose. In this paper, the definition of soft fault of CNC system is studied, and based on the abnormal data of multi-sample CNC systems, the induction and classification of soft fault is made. Moreover, Failure mode and effects analysis (FMEA) method is used to analyze failure module, failure mode, failure cause and failure effect of soft fault of CNC system. Defects which influence reliability of CNC system most are found out at last and it has a positive impact on CNC system products design, manufacture and use.

  • Research on Soft Fault of Computer Numerical Control
    2013
    Co-Authors: Cal E, Ng Tran, Chong Peng
    Abstract:

    Computer Numerical Control (CNC) system can be seen as the core of manufacturing and its reliability should be paid much attention to. Soft fault of CNC system occupies a large proportion in failure, but it is hard to diagnose. In this paper, the definition of soft fault of CNC system is studied, and based on the abnormal data of multi-sample CNC systems, the induction and classification of soft fault is made. Moreover, Failure mode and effects analysis (FMEA) method is used to analyze failure module, failure mode, failure cause and failure effect of soft fault of CNC system. Defects which influence reliability of CNC system most are found out at last and it has a positive impact on CNC system products design, manufacture and use.

Bingran Li - One of the best experts on this subject based on the ideXlab platform.

  • trajectory smoothing method using reinforcement learning for Computer Numerical Control machine tools
    Robotics and Computer-integrated Manufacturing, 2020
    Co-Authors: Bingran Li, Hui Zhang, Peiqing Ye, Jinsong Wang
    Abstract:

    Abstract Tool-path codes output by Computer-aided manufacturing software for high-speed machining are composed of discontinuous G01 line segments. The discontinuity of these tool movements causes Computer Numerical Control (CNC) inefficiency. To achieve high-speed continuous motion, corner smoothing algorithms based on pre-planning methods are widely used. However, it is difficult to optimize smoothing trajectories in real-time systems. To obtain smooth trajectories efficiently, this paper proposes a neural network-based direct trajectory smoothing method. An intelligent neural network agent outputs servo commands directly based on the current tool path and running state in every cycle. To achieve direct Control, motion feature and reward models were built, and reinforcement learning was used to train the neural network parameters without additional experimental data. The proposed method provides higher cutting efficiency than the local and global smoothing algorithms. Given its simple structure and low computational demands, it can easily be applied to real-time CNC systems.