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A GA-based Optimization Algorithm for Cutting Tool “Shape-performance-application” Integrated Design Approach

机译:基于遗传算法的刀具“形状性能应用”集成设计优化算法

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摘要

This paper presents a GA-based optimization algorithm for cutting tool “Shape-performance-application” integrated design (CTSPAID) approach that is for increasing the accuracy and adaptability of cutting tool design. Within the method, there are two important parts, establishment of objective function and determination of the interval of the targeted parameters. The dimensionless process is carried out for very single functions for the final objective function, and the weight factors are dispatched to the single objectives based on the paired complicated method and analytic hierarchy process. Three types of relationship between the targeted factors and objectives is classified, factor with a single objective, factors with a single objective, and factors with multiple objectives. The methods for the intervals are also proposed for three type, respectively. Finally, in order to provide a platform for the GA-based optimization algorithm, the architecture of CTSPAID system is constructed, and also its user interface is showed.
机译:本文提出了一种基于GA的切削工具“形状性能应用”集成设计(CTSPAID)方法的优化算法,旨在提高切削工具设计的准确性和适应性。该方法有两个重要部分,目标函数的建立和目标参数间隔的确定。对最终目标函数的单个函数执行无量纲处理,然后基于配对的复杂方法和层次分析法,将权重因子分配给单个目标。目标因子和目标之间的关系分为三种类型:具有单个目标的因子,具有单个目标的因子和具有多个目标的因子。还分别针对三种类型提出了间隔的方法。最后,为了为基于遗传算法的优化算法提供一个平台,构建了CTSPAID系统的体系结构,并展示了其用户界面。

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