ABSTRACT

Micromachining is the essential technology for production of miniaturized parts and components, which plays a lot of roles in today’s manufacturing technology with space limitations of products and economical aspects. In this investigation, response surface methodology with box-behnken design (BBD) is used to optimize the micro-turning parameters based on the relationships and interactions among the variables on tool wear. For conducting the experiment(s), three process parameters namely, cutting speed, feed, and depth of cut were considered and Titanium alloy is used as the base material with cermet insert. According to the design of matrix, totally 15 trials were conducted for different combinations of process parameters. The mathematical model is developed and as a role of process parameters, to calculate the output responses and the same were analyzed by using ANOVA with contour plots. In this paper, an investigation has been prepared for optimum machining conditions to produce the minimum tool wear 0.133 mm, and their optimized parameters cutting speed 3459 rpm, feed rate 7.4 µm/rev, with depth of cut 15 µm by 100% desirability. Among these optimal parameters, it minimizes the tool wear for the progress of tool life with suitability.

摘要

微机械加工是生产微型零部件的必不可少的技术，在当今的制造技术中，由于产品的空间限制和经济方面的原因，微加工扮演着重要角色。在这项研究中，基于盒磨损设计（BBD）的响应面方法用于基于刀具磨损变量之间的关系和相互作用来优化微车削参数。为了进行实验，考虑了三个工艺参数，即切削速度，进给量和切削深度，并且钛合金被用作金属陶瓷镶件的基础材料。根据矩阵的设计，针对工艺参数的不同组合共进行了15次试验。数学模型已经开发出来，并且作为过程参数的作用，以计算输出响应，并通过使用ANOVA与等高线图进行分析。本文针对最佳加工条件进行了研究，以产生最小的刀具磨损为0.133 mm，其优化参数切削速度为3459 rpm，进给速度为7.4 µm / rev，切削深度为15 µm，100％理想。在这些最佳参数中，它可最大程度地降低刀具磨损，从而延长刀具寿命。