Affiliation:
1. Department of Mechanical Engineering, University of Wisconsin, Madison, Wis.
Abstract
This paper presents a study of tool-life testing by a statistical approach, referred to as response surface methodology, instead of the conventional one-variable-at-a-time method. With this new technique the number of tests required to develop a tool-life predicting equation can be substantially reduced. The reliability of such an equation can also be estimated. Three independent variables, speed, feed, and depth of cut, were investigated in this project. A simple first order equation is “graduated” in Part 1 and a more general second-order equation will be presented in Part 2 of this study.
Cited by
55 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Optimisation of Ball Burnishing Parameters for Surface Finish in AL6082;Advanced Engineering Optimization Through Intelligent Techniques;2023
2. Bibliography;Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP;2020-01-03
3. Tool Wear and Tool Life;Metal Cutting Theory and Practice, Third Edition;2016-03-24
4. Feasibility of utilizing response surface methodology for predicting wear of steels;Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology;2011-05
5. COMPARISON BETWEEN PARTICLE SWARM OPTIMIZATION AND GENETIC ALGORITHM IN ARTIFICIAL NEURAL NETWORK FOR LIFE PREDICTION OF NC TOOLS;Journal of Advanced Manufacturing Systems;2008-06