• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2023, Vol. 59 ›› Issue (2): 317-330.doi: 10.3901/JME.2023.02.317

Previous Articles    

Optimization of Human-machine Interface Layout of Laser Additive Manufacturing Equipment Based on Reachable Domain

WANG Xu, JIANG Xingyu, YANG Guozhe, MA Mingyu, ZHAO Wenpeng, LIU Xinhao, LIU Weijun   

  1. School of Mechanical Engineering, Shenyang University of Technology, Shenyang 110870
  • Received:2021-12-10 Revised:2022-09-15 Published:2023-03-30

Abstract: Since the laser additive manufacturing equipment has multi-dimensional information, multi-process, multi-function,multi-objects and other human-computer interaction characteristics, which leads to low interaction efficiency, poor comfort and safety,and directly affects the stability of the forming quality of the parts. Based on this, a human-machine interface layout optimization method of laser additive manufacturing equipment based on reachable region is proposed. According to the comfort of both hands vertical reachable domain, the reachable domain level of human-computer interface is divided, and the human-computer interface layout optimization model of laser additive manufacturing equipment based on reachable domain is constructed. Aiming at the problem of solving the multi-decision variable interface layout model based on domain model, a hybrid intelligent solution algorithm based on wolf pack-particle swarm optimization algorithm is proposed. The running siege behavior mechanism of wolf pack algorithm is introduced into particle swarm optimization algorithm to solve the problem that the calculation results of particle swarm optimization algorithm are easy to fall into local optimal solution due to low population diversity. Finally, taking LDM4030 laser additive manufacturing equipment as an example, the human-machine interface layout is optimized, and the ergonomic simulation and eye movement experiment are carried out. The results show that the optimized human-machine interface layout is superior to the original equipment design in terms of comfort, safety and interface rationality, which validates the effectiveness and feasibility of the model.

Key words: laser additive manufacturing equipment, human reachable domain, interface layout optimization, hybrid intelligent algorithm, eye movement experiment

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