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Improving worker health and safety in wire arc additive manufacturing: A graph-based approach
Author(s) -
Hari P.N. Nagarajan,
Suraj Panicker,
Hossein Mokhtarian,
Éric Coatanéa,
Karl R. Haapala
Publication year - 2020
Publication title -
procedia cirp
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.683
H-Index - 65
ISSN - 2212-8271
DOI - 10.1016/j.procir.2020.01.116
Subject(s) - welding , graph , arc (geometry) , process (computing) , computer science , arc welding , manufacturing engineering , engineering , business , mechanical engineering , theoretical computer science , operating system
Research on human health and safety impacts of wire arc additive manufacturing is often overshadowed by the need for weld quality and mechanical strength improvements. To address this gap, a review of research literature is conducted focusing on the influence of welding process parameters, welding fumes, and fume exposure on worker health. The review uses a causal graph to classify research literature into two domains: manufacturing technology and public health. The graph serves as a precursor to development of a Bayesian network model, whose expected benefits, steps for implementation, and likely challenges that would be encountered during implementation are discussed.

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