Authors: Jiyoung Yu Yongho Sohn Young Whan Park JaeSeob Kwak
Publish Date: 2016/10/19
Volume: 30, Issue: 10, Pages: 4697-4704
Abstract
Lightweight metals have been used to manufacture the body panels of cars to reduce the weight of car bodies Typically aluminum sheets are welded together with a focus on weld quality assurance A weld quality prediction system for the laser welding of aluminum was developed in this research to maximize welding production The behavior of the plasma was also analyzed dependent on various welding conditions The light intensity of the plasma was altered with heat input and wire feed rate conditions and the strength of the weld and sensor signals correlated closely for this heat input condition Using these characteristics a new algorithm and program were developed to evaluate the weld quality The design involves a combinatory algorithm using a neural network model for the prediction of tensile strength from measured signals and a fuzzy multifeature pattern recognition algorithm for the weld quality classification to improve predictability of the systemJiyoung Yu received his BS and PhD in Mechanical Engineering from Hanyang University Korea in 2007 and 2013 He has worked for Hyundai Steel Company in Hyundai Motors Group as a Principal Research Engineer from 2013 to 2016 His research interests are welding and joining technologies for materials in automotiveYongho Sohn received his BS and MS from Worcester Polytechnic Institute and PhD in School of Materials Engineering from Purdue University USA in 1991 1993 and 2000 He has worked for University of Central Florida in Orlando USA as a Professor of department of material science and engineering from 2001 and advanced materials processing and analysis center AMPAC as a Director from 2006 His research interests are failure mechanisms nondestructive inspection NDI techniques and improved durability/reliability of thermal barrier coatings TBCsYoung Whan Park received his BS MS and PhD in Mechanical Engineering from Hanyang University Korea in 1999 2001 and 2006 He worked in POSCO research center and now he is working in Pukyong National University as an Associate Professor form 2008 His research interests are automation and monitoring of welding and joining process with artificial intelligent and laser material processingJaeSeob Kwak received his MS and PhD in Precision Mechanical Engineering from Pusan National University Korea in 1996 and 2000 He is working in the Department of Mechanical Engineering Pukyong National University Korea He awarded the Outstanding Teaching Award at Pukyong National University in 2013 and Most Cited Article Award at International Journal of Precision Engineering and Manufacturing in 2012
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