Optimization of Welding Process using a Genetic Algorithm

Q3 Engineering Strojnicky Casopis Pub Date : 2018-11-01 DOI:10.2478/scjme-2018-0014
P. Élesztős, R. Janco, Vladimír Voštiar
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引用次数: 18

Abstract

Abstract Welding is a complex technological process in which local heating takes place up to the melting point of the connecting and the additional material. Phase and crystallization processes are a strong non-linear function of the cooling rate. This non-linear function multiplies the complexity of the numerical simulation and optimization of the welding process. Lately, optimization with genetic algorithm has become the trend to optimize systems that behave in a non-linear manner and contain a number of local extremes. Genetic algorithm is therefore a method by which we seek an absolute extreme. It is a method which seeks a solution to near absolute extreme. In this paper the use of the genetic algorithm for welding process optimization is described.
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基于遗传算法的焊接工艺优化
摘要焊接是一个复杂的工艺过程,局部加热至连接和附加材料的熔点。相和结晶过程是冷却速率的强非线性函数。该非线性函数增加了焊接过程的数值模拟和优化的复杂性。最近,使用遗传算法的优化已经成为优化以非线性方式表现并且包含许多局部极值的系统的趋势。因此,遗传算法是一种我们寻求绝对极值的方法。这是一种寻求接近绝对极值的解决方案的方法。本文介绍了遗传算法在焊接工艺优化中的应用。
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来源期刊
Strojnicky Casopis
Strojnicky Casopis Engineering-Mechanical Engineering
CiteScore
2.00
自引率
0.00%
发文量
33
审稿时长
14 weeks
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