A framework for physics-driven in-process monitoring of penetration and interface width in laser overlap welding

被引:6
作者
Ozkat, Erkan Caner [1 ]
Franciosa, Pasquale [1 ]
Ceglarek, Darek [1 ]
机构
[1] Univ Warwick, WMG, Gibbet Hill Rd, Covetry CV4 7AL, England
来源
COMPLEX SYSTEMS ENGINEERING AND DEVELOPMENT | 2017年 / 60卷
基金
英国工程与自然科学研究理事会; 欧盟第七框架计划;
关键词
In-process monitoring; laser overlap welding; computational modelling of welding; KEYHOLE; MODEL;
D O I
10.1016/j.procir.2017.01.043
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Laser welding requires a vast amount of process parameters to be monitored in order to ensure high quality weld. The goal of process monitoring is to gather data from the process and utilize them to understand the process and to create control methods. The lack of comprehensive models linking (i) in-process monitoring data (e.g. visual sensing, acoustic and optical emissions); with, (ii) multiple quality indicators (e.g. penetration depth, interface width); and (iii) welding process parameters (e.g. laser power, welding speed, focal point position) underscores the limitations of current data-driven in-process monitoring methods. This paper presents a semi-analytical model to compute penetration and interface width in overlap welding and to develop a framework to utilize the proposed model for in-process monitoring. The key idea is to integrate real-time data gathered from the welding process with the semi-analytical model to monitor penetration and interface width. The proposed model consists of two steps; (i) calculating keyhole profile in overlap joint using energy balance method with response surface methodology, and (ii) numerically solving heat equation to obtain molten pool shape leading to penetration and interface width. (C) 2017 The Authors. Published by Elsevier B.V.
引用
收藏
页码:44 / 49
页数:6
相关论文
共 15 条
[1]   Rapid deployment of remote laser welding processes in automotive assembly systems [J].
Ceglarek, Dariusz ;
Colledani, Marcello ;
Vancza, Jozsef ;
Kim, Duck-Young ;
Marine, Charles ;
Kogel-Hollacher, Markus ;
Mistry, Anil ;
Bolognese, Luca .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2015, 64 (01) :389-394
[2]   A complete model of keyhole and melt pool dynamics to analyze instabilities and collapse during laser welding [J].
Courtois, Mickael ;
Carin, Muriel ;
Le Masson, Philippe ;
Gaied, Sadok ;
Balabane, Mikhael .
JOURNAL OF LASER APPLICATIONS, 2014, 26 (04)
[3]   [INVITED] An overview of the state of art in laser welding simulation [J].
Dal, M. ;
Fabbro, R. .
OPTICS AND LASER TECHNOLOGY, 2016, 78 :2-14
[4]   Study of CWNd-Yag laser welding of Zn-coated steel sheets [J].
Fabbro, R ;
Coste, F ;
Goebels, D ;
Kielwasser, M .
JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2006, 39 (02) :401-409
[5]   Keyhole modeling during laser welding [J].
Fabbro, R ;
Chouf, K .
JOURNAL OF APPLIED PHYSICS, 2000, 87 (09) :4075-4083
[6]   A 3D transient model of keyhole and melt pool dynamics in laser beam welding applied to the joining of zinc coated sheets [J].
Geiger, M. ;
Leitz, K. -H. ;
Koch, H. ;
Otto, A. .
PRODUCTION ENGINEERING-RESEARCH AND DEVELOPMENT, 2009, 3 (02) :127-136
[7]   A MODEL OF DEEP PENETRATION LASER-WELDING BASED ON CALCULATION OF THE KEYHOLE PROFILE [J].
KAPLAN, A .
JOURNAL OF PHYSICS D-APPLIED PHYSICS, 1994, 27 (09) :1805-1814
[8]   An analytical thermodynamic model of laser welding [J].
Lampa, C ;
Kaplan, AFH ;
Powell, J ;
Magnusson, C .
JOURNAL OF PHYSICS D-APPLIED PHYSICS, 1997, 30 (09) :1293-1299
[9]  
Norman P., 2009, 5 INT WLT C LAS MAN, P355
[10]  
Ozkat E. C., 2016, ICALEO INT C APPL LA