Development of Quality Assurance System in the Automotive Industry

Author:

Gonçalves Lucas S.1,Campilho Raul D.S.G.2,Prakash Chander3

Affiliation:

1. ISEP

2. INEGI

3. Lovely Professional University

Abstract

The Automotive Industry is in constant evolution, thanks in part to its high level of production and customer demands for quality assurance. New processes, equipment and products are constantly emerging, leading to new vehicles launched to the public. These processes and equipment need adequate monitoring tools and forms of quality assurance, and it is the responsibility of the engineering department to look for economically viable and efficient ways of guaranteeing the quality of products in an industry where quality itself is considered one of its pillars. This work aims to develop and validate a solution for quality control in the automotive industry while taking full advantage of the technological factors provided by the equipment used. It deals with researching and applying a three-dimensions (3D) scanner in product quality monitoring tasks of a door panel manufacturing process. Pilot studies were carried out to assess the real capabilities of the equipment and determine problems that could arise when scaling the process for a real production of car door panels. The implementation and final results are also described in this work, showing that it is possible to develop a flexible equipment with multiple applications and apply it in the automotive industry.

Publisher

Trans Tech Publications Ltd

Reference11 articles.

1. A Novel Automated System for the Handling of Car Seat Wires on Plastic Over-Injection Molding Machines;Silva;Machines,2021

2. P. Khemka, Plastics in the automotive industry – which materials will be the winners and losers? Resource Inovations, January (2019) n.a..

3. B. Scholz-Reiter, H. Thamer, M. Lütjen, Optical quality assurance in micro production. in Proceedings of International MultiConference of Engineers and Computer Scientists (IMECS 2010), Hong Kong, China. 2010.

4. A. Gupta, S.K. Arora, Industrial automation and robotics, Laxmi Publications, New Delhi, 2009.

5. J. Park, A. John Park, S. Mackay, Practical data acquisition for instrumentation and control systems, Elsevier, Amsterdam, 2003.

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