@inproceedings{2b792c5caa0b47bc95b2845d0f798472,
title = "Improving worker health and safety in wire arc additive manufacturing: A graph-based approach",
abstract = "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.",
keywords = "Additive manufacturing, Welding Safety, Bayesian network",
author = "Nagarajan, {Hari P.N.} and Suraj Panicker and Hossein Mokhtarian and Eric Coatanea and Haapala, {Karl R.}",
note = "EXT={"}Haapala, Karl R.{"} JUFOID=76433; CIRP Life Cycle Engineering Conference ; Conference date: 01-01-1900",
year = "2020",
doi = "10.1016/j.procir.2020.01.116",
language = "English",
volume = "90",
series = "Procedia CIRP",
publisher = "Elsevier",
pages = "461--466",
booktitle = "27th CIRP Life Cycle Engineering Conference (LCE2020)",
address = "Netherlands",
}