Metrological Aspects of Surface Topographies Produced by Different Machining Operations Regarding Their Potential Functionality

Author:

Żak Krzysztof,Grzesik Wit

Abstract

AbstractThis paper presents a comprehensive methodology for measuring and characterizing the surface topographies on machined steel parts produced by precision machining operations. The performed case studies concern a wide spectrum of topographic features of surfaces with different geometrical structures but the same values of the arithmetic mean height Sa. The tested machining operations included hard turning operations performed with CBN tools, grinding operations with Al2O3ceramic and CBN wheels and superfinish using ceramic stones. As a result, several characteristic surface textures with the Sa roughness parameter value of about 0.2 μm were thoroughly characterized and compared regarding their potential functional capabilities. Apart from the standard 2D and 3D roughness parameters, the fractal, motif and frequency parameters were taken in the consideration.

Publisher

Walter de Gruyter GmbH

Reference7 articles.

1. A comprehensive characterization of surface topography induced by hard turning versus grinding;Waikar;Mat Proc Technol,2008

2. Prediction of the functional performance of machined components based on surface topography : a survey;Grzesik;Mater Eng Perf,2016

3. Technological shifts in surface metrology;Jiang;Annals Manuf Technol,2012

4. Surface finish on hardened bearing steel parts produced by superhard and abrasive tools and;Grzesik;Int J Mach Tools,2007

5. The MOTIF - method ISO a suitable description for functional manufactural and metrological requirements and;Dietzsch;Int J Mach Tools,1998

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