Ergonomic Analysis And Optimization Design Of Laser Additive Manufacturing Equipment

Laser additive manufacturing equipment is a new type of intelligent manufacturing equipment that is widely concerned and researched at home and abroad.However,its complex task hierarchy and system composition lead to a low level of operator humanization,which affects the operator's control over the processing and forming of the equipment.Therefore,the ergonomic analysis and optimal design of laser additive manufacturing equipment are important to ensure the operator's operational efficiency,reduce the accident rate,improve the operator's experience satisfaction,and promote the enhancement of humanized design and effective control of the equipment.Based on this,this thesis takes the LDM4030 coaxial powder feeding laser additive manufacturing equipment as the research object,deeply investigates the human-machine operation tasks of laser additive manufacturing equipment,and systematically studies the ergonomic optimization design method of laser additive manufacturing equipment.The main research contents are as follows.(1)To address the problem of unclear human-machine task allocation due to the highly complex operation tasks of laser additive manufacturing equipment,a human-machine task assignment model based on task knowledge analysis and perceptual-cognitive theory is established.This model is based on task knowledge analysis and perceptual-cognitive theory,and is used to visualize the tasks of laser additive manufacturing equipment.The study lays the foundation for the subsequent interaction interface optimization and emotional design.(2)To address the problems of low interaction efficiency and poor operational speed of human-machine interaction interface of laser additive manufacturing equipment,a hybrid wolf swarm-particle swarm algorithm to optimize the layout of the interaction interface of the equipment is proposed.The optimization model of equipment interaction interface layout based on the personnel reachable domain field is established.The proposed layout model solving method based on the hybrid wolf swarm-particle swarm algorithm solves the problem that the traditional particle swarm algorithm solves the multi-dimensional domain layout model easily into the local optimal solution,and effectively improves the model solving quality.The efficiency of human-computer interaction interface of equipment is improved.(3)To address the problem that laser additive manufacturing equipment ignores the operator's psychological and emotional needs and the humanized design of the equipment,the Kansei-AD-based equipment emotional integration design optimization method is proposed.The mapping model from user domain to process domain is constructed by applying rough QFD,independent axiomatic test and GRA-TOPSIS method,based on which the best emotional integration design scheme is determined by applying axiomatic design theory.Solve the problem of humanized emotional fusion design of equipment and realize the organic integration of psycho-emotional factors of operators and equipment design activities.(4)To address the problem of multidimensional evaluation of ergonomics optimization schemes for laser additive manufacturing equipment,a multi-dimensional hierarchical ergonomics evaluation system based on operational experience is established,and the DEMATEL method is applied to analyze the influence relationship among the evaluation dimension indicators,and the rough VIKOR method is applied to reduce the negative influence of the ambiguity of the evaluation process on the objectivity of the results.A more comprehensive evaluation of the ergonomics optimization scheme of the equipment is achieved.