Surface roughness evaluation when brushing heat-resistant alloy components

Author:

González Mikel,Rodríguez Adrián,Pereira Octavio,de Lacalle Luis Norberto López

Abstract

AbstractNowadays, the combination of additive manufacturing technologies, together with the use of materials such as Inconel 718, opens new opportunities in the manufacture of aeronautical turbines. However, parts obtained directly through additive manufacturing are far from being considered suitable in their initial state, as they exhibit a poor surface finish that compromises their mechanical characteristics. Common among the defects found in such components are ridges stemming from thermal deformations during the powder fusion process. Therefore, abrasive brushing emerges as the prevalent method to rectify these surface imperfections. However, conventional roughness indicators prove insufficient in accurately characterizing such local defects during surface analysis. Consequently, this study investigates surface conditions of Inconel 718 parts produced through additive manufacturing, particularly focusing on defects caused by peak alignments along the powder fusion direction. Thus, a series of frontal brushing operations were conducted under varying conditions, with the aim of increasing the feed rate to address these defects. Subsequently, the effectiveness of the brushing process was assessed through the calculation of peak areas. The analysis of this indicator revealed that the maximum feed rate enabling complete removal of the peak marks was 500 mm/min.

Funder

Ministerio de Ciencia e Innovación

Eusko Jaurlaritza

Universidad del País Vasco

Publisher

Springer Science and Business Media LLC

Cited by 1 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

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