OPTIMIZATION OF WELDING PROCESS USING A GENETIC ALGORITHM
Journal Title: Strojnicky casopis - Journal of Mechanical Engineering - Year 2018, Vol 68, Issue 2
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.
Authors and Affiliations
ÉLESZTŐS Pavel, JANČO Roland, VOŠTIAR Vladimír
Keywords
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- EP ID EP43936
- DOI https://doi.org/10.2478/scjme-2018-0014
- Views 211
- Downloads 0
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