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Machining line balance of variable speed box of a complex construction machinery considering complex process constraints
Published:2024-04-24 author:JIN Chuyun, HU Junyi, CHEN Yong, et al. Browse: 1049 Check PDF documents
Machining line balance of variable speed box of a complex construction 
machinery considering complex process constraints


JIN Chuyun1, HU Junyi1,2, CHEN Yong3, WANG Yihong1


(1.Rail Transit Department, Zhejiang Institute of Communications, Hangzhou 311112, China; 2.School of Mechanical Engineering, 

Southwest Jiaotong University, Chengdu 610031, China; 3.College of Mechanical Engineering,Zhejiang University of Technology, 
Hangzhou 310023, China)


Abstract: To solve the balance problem of machining production,complex conditions such as machining task tool requirements, machine tool type requirements, machining orientation constraints, "tight" type and "or" type constraints are included. A mathematical model of this complex problem was constructed, and a particle swarm optimization algorithm with multiple screening mechanism was proposed to solve it.Firstly, a mathematical model of the balance problem of machining production line was established which satisfied the complex practical constraints. Then, the position coordinates of particles were used as the weight information of particle swarm search to select the tasks in the processing task set, and a multiscreening mechanism was designed to construct the heuristic task set generation rule.This heuristic task set generation rule was used to get a set of processing tasks that could be directly assigned and processed. The processing tasks were selected successively by particle swarm optimization (PSO)from the directly selectable set to form a complete solution and a specific task assignment scheme. Finally, in order to improve the practicability and visibility of the program, a Gantt chart generating module for machining task was designed. Through the actual case study of a complex construction machinery variable speed box parts, the simplified task information was substituted into the algorithm to solve the optimization results.The research results indicate that this method has achieved optimization results with multiple balance rates above 90%. When the beat time is 1120s, the balance rate is 94.66%, and the content of the production scheduling table is consistent with the Gantt chart. The proposed algorithm satisfies the complex constraints, and the comparison with manual scheduling shows that the proposed algorithm is effective and has good economy and practicability. Through the discussion of flexible production cases, the results of this algorithm have certain production flexibility.

Key words: machining technology; particle swarm optimization(PSO); line balancing mathematical model; box parts; constraint relation matrix; heuristic alternative task set generation rules
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