Journal Published Online: 14 November 2019
Volume 3, Issue 2

Graph-Based Metamodeling for Characterizing Cold Metal Transfer Process Performance

CODEN: SSMSCY

Abstract

Achieving predictable, reliable, and cost-effective operations in wire and arc additive manufacturing is a key concern during production of complex-shaped functional metallic components for demanding applications, such as those found in aerospace and automotive industries. A metamodel combining localized submodels of the different physical phenomena during welding can ensure stable material deposition. Such a metamodel would necessarily combine submodels from multiple domains, such as materials science, thermomechanical engineering, and process planning, and it would provide a holistic systems perspective of the modeled process. An approach using causal graph-based modeling and Bayesian networks is proposed to develop a metamodel for a test case using wire and arc additive manufacturing with cold metal transfer. The developed modeling approach is used to characterize the effect of manufacturing variables on product dimensional quality in the form of a causal graph. A quantitative simulation using Bayesian networks is applied to the causal graph to enable process parameter tuning. The Bayesian network inference mechanism predicts the effects of the parameters on results, whereas, conversely, with known targets, it can predict the required parameter values. Validation of the developed Bayesian network model is performed using experimental tests.

Author Information

Nagarajan, Hari P. N.
Department of Automation Technology and Mechanical Engineering, Tampere University, Tampere, Finland
Panicker, Suraj
Department of Automation Technology and Mechanical Engineering, Tampere University, Tampere, Finland
Mokhtarian, Hossein
Department of Automation Technology and Mechanical Engineering, Tampere University, Tampere, Finland
Remy-Lorit, Théo
Sciences et Génie Des Matériaux, Institut National des Sciences Appliquées de Rennes, Rennes, France
Coatanéa, Eric
Department of Automation Technology and Mechanical Engineering, Tampere University, Tampere, Finland
Prod’hon, Romaric
Société Travaux Électriques Industrie Métropolitaine, Société par Actions Simplifiée, Chévremont, France
Jafarian, Hesam
Department of Automation Technology and Mechanical Engineering, Tampere University, Tampere, Finland
Haapala, Karl R.
School of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University, Corvallis, Oregon, USA
Chakraborti, Ananda
Department of Automation Technology and Mechanical Engineering, Tampere University, Tampere, Finland
Pages: 21
Price: Free
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Details
Stock #: SSMS20190026
ISSN: 2520-6478
DOI: 10.1520/SSMS20190026