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Principle and simulation of fixture configuration design for sheet metal assembly with laser welding. Part 2 : Optimal configuration design with the genetic algorithm

机译:激光焊接钣金装配夹具配置设计的原理和仿真。第2部分:遗传算法的最佳配置设计

摘要

A fixture plays a key role in ensuring proper metal fit-up in sheet metal assembly with laser welding. In this paper, an optimal fixture configuration design model is proposed based on a new locating scheme which includes both total locating and direct locating on welds. In this model, both the number and the location of the concerned locators are taken as objectives. The proposed prediction and correction method is used for determining the number of direct locators, and a pattern sorting method is developed for determining the number of total locators. Considering the degree of metal fit-up (DMF) to be a fuzzy quantity, a feasible evaluation criterion of DMF is also developed using a fuzzy synthesis evaluation method. A powerful optimisation technique - genetic algorithm - is employed as the optimisation procedure. A case study is presented which demonstrates the effectiveness of the optimal model, and the degree of metal fit-up can be improved compared to the initial locating scheme.
机译:夹具在通过激光焊接确保钣金装配中适当的金属装配方面起着关键作用。本文基于一种新的定位方案,提出了一种最优的夹具配置设计模型,该方案包括在焊缝上的全部定位和直接定位。在此模型中,相关定位器的数量和位置均作为目标。提出的预测和校正方法用于确定直接定位器的数量,并开发了一种模式排序方法来确定总定位器的数量。考虑到金属配合度(DMF)为模糊量,采用模糊综合评价方法建立了可行的DMF评价标准。一种强大的优化技术-遗传算法-被用作优化过程。案例研究表明了最佳模型的有效性,并且与初始定位方案相比,可以提高金属拟合度。

著录项

  • 作者

    Li B; Shiu BW;

  • 作者单位
  • 年度 2001
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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