Wear and residual stress in high-feed milling of AISI H13 tool steel

Author:

Bakirci Altug1ORCID,Koca Selim2,Erdogan Ozlem1,Cakir Mustafa Cemal1

Affiliation:

1. Mechanical Engineering Department , Bursa Uludag University , Bursa 16059 , Türkiye

2. Department of Mechanical Engineering , Feka Automotive , Bursa , Türkiye

Abstract

Abstract With the new manufacturing technologies, it has been possible to machine hard metals efficiently. During high-speed machining (HSM) of high-strength steel, the poor surface integrity of the workpiece affects the performance of the process. Surface roughness, microstructure, microhardness and residual stress are key performance indices for surface integrity directly controlled by tool wear and cutting parameters. In this study, high-feed milling (HFM) of a pocket on test samples made of DIN 1.2344 ESR mould steel with 55 HRc hardness was carried out on the CNC vertical milling machine. Three different cutting speeds and five different feed rates were used. At the end of the machining, tool wear was measured using a microscope. Subsequently, X-ray diffraction and hole drilling procedures were used to quantify residual stresses on machined test specimens. The results showed that under cutting conditions, the highest tensile residual stress was attained at f z  = 0.78 mm·tooth−1, v = 127.58 m·min−1, and the highest compressive residual stress at f z  = 0.5 mm·tooth−1, v = 127.58 m·min−1, on the workpiece surface. The most suitable cutting parameters were reported as f z  = 0.63 mm·tooth−1 and v = 70 m·min−1 cutting speed when tool wear and residual stresses are considered together.

Publisher

Walter de Gruyter GmbH

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

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