Development of Quality Assurance System in the Automotive Industry

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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.

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43-52

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October 2023

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© 2023 Trans Tech Publications Ltd. All Rights Reserved

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[1] F.J.G. Silva, M.R. Soares, L.P. Ferreira, A.C. Alves, M. Brito, R.D.S.G. Campilho, V.F.C. Sousa, A novel automated system for the handling of car seat wires on plastic over-injection molding machines, Machines 9 (2021) 141.

DOI: 10.3390/machines9080141

Google Scholar

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

Google Scholar

[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.

Google Scholar

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

Google Scholar

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

Google Scholar

[6] A. Mejías, R.S. Herrera, M.A. Márquez, A.J. Calderón, I. González, J.M. Andújar, Easy handling of sensors and actuators over TCP/IP networks by open source hardware/software, Sensors 17 (2017) 94.

DOI: 10.3390/s17010094

Google Scholar

[7] T. Lojka, M. Bundzel, I. Zolotova, Industrial gateway for data acquisition and remote control, Acta Electrotechnica et Informatica 15 (2015) 43-48.

DOI: 10.15546/aeei-2015-0017

Google Scholar

[8] M. Kumar, R. Vaishya, Parag, Real-time monitoring system to lean manufacturing, Procedia Manufacturing 20 (2018) 135-140.

DOI: 10.1016/j.promfg.2018.02.019

Google Scholar

[9] L. Scislo, Single-point and surface quality assessment algorithm in continuous production with the use of 3D laser doppler scanning vibrometry system, Sensors 23 (2023) 1263.

DOI: 10.3390/s23031263

Google Scholar

[10] M. Babu, P. Franciosa, D. Ceglarek, Spatio-temporal adaptive sampling of effective coverage measurement planning during quality inspection of free form surfaces using robotic 3D optical scanner, Journal of Manufacturing Processes 53 (2019) 93-108.

DOI: 10.1016/j.jmsy.2019.08.003

Google Scholar

[11] M. Javaid, A. Haleem, R.P. Singh, R. Suman, Industrial perspectives of 3D scanning: Features, roles and it's analytical applications, Sensors International 2 (2021) 100114.

DOI: 10.1016/j.sintl.2021.100114

Google Scholar