ABSTRACT

This document explains the machining of EN31 steel using an Abrasive Water Jet Machine. The work is aimed at investigating the role of Pressure, Abrasive Mass Flow Rate, Traverse Speed, and Standoff Distance on; Machining Time, Surface Roughness, and Hardness, followed by the optimization of these responses. Taguchi approach and Analysis of Variance are practiced to investigate the effecting features of the process parameters, regarding the responses. A regression model is also developed for efficient study. The experimental optimal data and the responses are calculated through the machining process, while the predicted optimal data is calculated through the various factorial effects plots for signal to noise ratios (SNRs). At the predicted optimal data, the responses are calculated. The validation test confirms the predicted responses and hence the acceptability of the specified model. The experiment reveals the various levels of the particular parameters in the optimization of Machining Time, Surface Roughness, and Hardness. Also, the major and minor contribution of the different parameters is investigated.

摘要

本文档介绍了如何使用磨料水射流机加工 EN31 钢。这项工作的目的是研究压力、磨料质量流量、移动速度和间隔距离的作用；加工时间、表面粗糙度和硬度，然后优化这些响应。田口方法和方差分析用于研究过程参数的影响特征，与响应有关。还开发了回归模型以进行有效研究。实验最佳数据和响应是通过加工过程计算的，而预测的最佳数据是通过信噪比 (SNR) 的各种因子效应图计算的。根据预测的最佳数据，计算响应。验证测试确认预测的响应，从而确认指定模型的可接受性。实验揭示了加工时间、表面粗糙度和硬度优化中特定参数的各个级别。此外，还研究了不同参数的主要和次要贡献。