ABSTRACT

Owing to the exceptional mechanical properties of Ti-6Al-4V, it is widely utilized in numerous critical mechanical parts for the uncompromised factor of safety. However, performing machining operations on this alloy in close tolerance is a challenging task. Moreover, establishing a process for its efficient finishing has become the interest of researchers. In this research study, the magnetic abrasive finishing process (MAF) has been studied using the ANN-GA approach, where ANN has been used for modeling of input–output relations, and GA has been used to optimize the MAF process. The experiments were conducted on a pulsating DC sourced MAF set-up, and SiC-based loosely bonded magnetic abrasive media was used for material removal. During experimentation, the current, machining gap, speed of rotation, abrasive composition, and finishing time were taken as input parameters being arranged in an array of L16 orthogonal. In contrast, output parameters were changed in surface roughness, change in the microhardness, and change in the modulus of elastic indentation. ANN-GA approach provides a set of optimal solutions for obtaining suitable output values. Furthermore, loosely bound SiC-based magnetic abrasive media and its composition is found to be a very critical factor for the performance of the finishing quality on Ti-6Al-4 V.

摘要

由于Ti-6Al-4V具有非凡的机械性能，因此在安全性不受影响的情况下，它被广泛用于众多关键机械零件中。但是，以严格的公差对这种合金进行机械加工是一项艰巨的任务。此外，建立有效完成加工的过程已成为研究人员的兴趣所在。在本研究中，使用ANN-GA方法研究了磁性磨料精加工工艺（MAF），其中ANN已用于输入输出关系的建模，GA已用于优化MAF工艺。实验是在脉冲直流源MAF装置上进行的，并且使用了SiC基松散结合的磁性磨料介质来去除材料。在实验过程中，电流，加工间隙，转速，磨料成分，以完成时间和完成时间为输入参数，排列在一个正交的L16数组中。相反，输出参数在表面粗糙度，显微硬度和弹性压痕模量方面发生了变化。ANN-GA方法为获得合适的输出值提供了一组最佳解决方案。此外，发现松散结合的SiC基磁性磨料及其成分是在Ti-6Al-4 V上完成抛光质量的一个非常关键的因素。