Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel

Author:

Hernández González Luis,Seid Ahmed Yassmin,Pérez Rodríguez Roberto,Zambrano Robledo Patricia,Guerrero Mata Martha

Abstract

The manufacturing industry aims to produce many high quality products efficiently at low cost, thereby motivating companies to use advanced manufacturing technologies. The use of high-speed machining is increasingly widespread; however, it lacks a deep-rooted knowledge base needed to facilitate implementation. In this paper, response surface methodology (RSM) has been applied to determine the optimum cutting conditions leading to minimum flank wear in high-speed dry turning on AISI 1045 steel. The mathematical models in terms of machining parameters were developed for flank wear prediction using RSM on the basis of experimental results. The high speed turning experiments were carried out with two coated carbide and a cermet inserts using AISI 1045 steel as work material at different cutting speeds and machining times. The models selected for optimization were validated through the Pareto principle. Results showed the GC4215 insert to be the most optimal option, because it did not reach the cutting tool life limit and could be used for the whole range of cutting parameters selected. To quantitatively evaluate the usefulness of the cutting tools, it was proposed the coefficient of use of the tools from the results of the contour graphs. The GC4215 insert showed 100% effectiveness, followed by the GC4225 with 98.4%, and finally, the CT5015 insert with 83%.

Publisher

MDPI AG

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials

Reference38 articles.

1. Adaptive control optimization of cutting parameters for high quality machining operations based on neural networks and search algorithms;Abellan,2008

2. Design of a decision support system for machine tool selection based on machine characteristics and performance tests

3. Hybrid High Speed Machining (HSM): System Design and Experimental Results for Grinding/HSM and EDM/HSM

4. High Speed Machining;Grzesik,2008

5. An investigation of tool wear in high-speed turning of AISI 4340 steel

Cited by 9 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. Influence of end cutting edge angle of a multi-point lathe cutter on the thread profile accuracy. Theoretical investigation;Journal of Physics: Conference Series;2023-07-01

2. Ti6Al4V grinding using different lubrication modes for minimizing energy consumption;The International Journal of Advanced Manufacturing Technology;2023-03-22

3. Accuracy of Thread Profile Depends on the Lathe Tool Angle of Inclination. Theoretical Investigation;IOP Conference Series: Materials Science and Engineering;2023-03-01

4. Influence of Back Rake Angle of a Threading Cutter on the Drill-String Tool-Joint Pitch Diameter;Lecture Notes in Mechanical Engineering;2022-09-09

5. Analysis of the incremental sheet forming process and process parameters on aluminum sheets based on the vertical step sizes;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2022-03-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3