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Optimization of the Transition Path of the Head Hardening with Using the Genetic Algorithms

机译：利用遗传算法优化头部硬化过渡路径

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An automated method of choice of the transition path of the head hardening in heat treatment process for the plane steel element is proposed in this communication. This method determines the points on the path of moving heat source using the genetic algorithms. The fitness function of the used algorithm is determined on the basis of effective stresses and yield point depending on the phase composition. The path of the hardening tool and also the area of the heat affected zone is determined on the basis of obtained points. A numerical model of thermal phenomena, phase transformations in the solid state and mechanical phenomena for the hardening process is implemented in order to verify the presented method. A finite element method (FEM) was used for solving the heat transfer equation and getting required temperature fields. The moving heat source is modeled with a Gaussian distribution and the water cooling is also included. The macroscopic model based on the analysis of the CCT and CHT diagrams of the medium-carbon steel is used to determine the phase transformations in the solid state. A finite element method is also used for solving the equilibrium equations giving us the stress field. The thermal and structural strains are taken into account in the constitutive relations.
机译：在该通信中提出了一种自动选择用于加热处理的热处理过程中的头部硬化的过渡路径。该方法使用遗传算法确定移动热源路径上的点。根据相位组成，基于有效应力和屈服点确定使用的算法的适应功能。硬化工具的路径以及热影响区的面积基于获得的点确定。实施了热现象的数值模型，实施固定状态的相变和硬化过程的机械现象，以验证所提出的方法。有限元方法（FEM）用于求解传热方程并获得所需的温度场。移动热源采用高斯分布建模，也包括水冷。基于CCT分析的宏观模型和中碳钢的CHT图来确定固态中的相变。有限元方法还用于求解给我们应力场的平衡方程。在本文相关关系中考虑了热和结构菌株。

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