Particle-swarm-genetic-algorithm-based selecting method of remanufacturing assembling process

A technology of genetic algorithm and assembly process, which is applied in the matching field of machine tool spindle box remanufacturing assembly process, can solve the problems of short precision life, poor machine tool precision, etc., achieve resource utilization rate improvement, significant technical and economic significance, and improve assembly The effect of accuracy and matching success rate

Active Publication Date: 2018-04-20
SHENYANG POLYTECHNIC UNIV
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AI Technical Summary

Problems solved by technology

[0004] For the phenomenon of poor precision, short precision life and poor reliability of machine tools in the remanufacturing process, in addition to design reasons, it is mainly caused by assembly

Method used

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  • Particle-swarm-genetic-algorithm-based selecting method of remanufacturing assembling process

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Experimental program
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Effect test

Embodiment 1

[0022] In order to ensure the assembly accuracy and performance of the remanufactured machine tool, the fit clearance of the main shaft assembly and the size of each component are controlled. The specific requirements for the fit clearance between the main shaft and the gear, and the design dimensions of the main shaft and gear parts are as follows:

[0023] According to the requirements of remanufacturing assembly, the gap between the main shaft and the gear is required to be 0-0.020mm, and the diameter of the main shaft of the machine tool is D 1 The remanufactured processing size is Spindle diameter Gear 1 Inner Aperture Size Gear 2 Inner Aperture Size

[0024] The remanufacturing assembly of machine tools has higher requirements on the assembly accuracy of the spindle. Due to the limitation of existing technology and cost, the accuracy of the repaired parts is still low. Compared with the new machined parts, the degree of dispersion is slightly larger. If Using the...

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Abstract

The invention discloses a particle-swarm-genetic-algorithm-based selecting method of a remanufacturing assembling process. With the method, optimized selection of the assembling process of the remanufactured parts is realized; and more qualified products are selected by taking cost minimization as an objective. On the basis of a quality loss cost function and a remaining part cost function of theTaguchi quality method as model bases, a comprehensive remanufacturing matching and selecting model is constructed by using an enclosed ring dimension as a model constraint; part parameters collectedin the remanufacturing assembling process are guided into the model and crossover and mutation operators in a genetic algorithm are integrated into a particle swarm algorithm as an optimal optimization algorithm to optimize the model; and then an optical matching and selecting optimization plan for the remanufacturing assembling process is provided. Therefore, a problem of low matching success rate in the selection process of remanufactured parts is solved; the utilization rate of remanufacturing resources in the matching process is increased substantially; and the cost of the enterprise is lowered.

Description

technical field [0001] The invention relates to a matching method, in particular to a matching method in the remanufacturing and assembling process of a machine tool headstock. Background technique [0002] my country has produced and applied a large number of machine tools since 1980. At present, my country has more than 7 million machine tools, of which 60% are machine tools that have been in service for more than 10 years. A large number of old machine tools are still in use or will be scrapped. This has led to the peak period of machine tool replacement in recent years, and at the same time a large number of waste machine tools have been produced. How to deal with these waste machine tools has a major impact on the development of my country's circular economy. [0003] Machine tool remanufacturing is a new model of machine tool manufacturing based on the recycling of waste resources. It is the most effective way to solve the problems existing in the processing process of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/04G06N3/12
CPCG06N3/126G06Q50/04Y02P90/30
Inventor 姜兴宇张皓垠赵地徐海峰王子生石敏煊杨世奇
Owner SHENYANG POLYTECHNIC UNIV
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