Ontology-based laser and thermal metamodels for metal-based additive manufacturing

Published

August 24, 2016

Author(s)

Paul Witherell, Ibrahim Assouroko, Roh Byeong-Min, Timothy Simpson, Soundar Kumara

Abstract

Additive manufacturing (AM) is creating renewed interest in manufacturing thanks to the freedom it provides to design and innovate. One of the biggest challenges in AM is inadequate repeatability in product quality and reliability of the process for industrial use. In metal-based AM, in particular, a number of process parameters are highly interconnected. Understanding this interconnectivity is the first step in building process control models that help make the process more repeatable and reliable. Metamodels can be used to conceptualize models of complex AM processes and capture diverse parameters to provide a graphical view with common terminology and protocols. In this paper we consider different process models (laser and thermal) for metal-based AM and develop an AM Process Ontology from first-principles. We discuss its implementation in Protégé.

Proceedings Title

Proceedings of the ASME 2016 International Design Engineering Technical Conference & Computers and information in Engineering Conference.
IDETC/CIE 2016

Conference Dates

August 21-24, 2016

Conference Location

Charlotte, NC, US

Pub Type

Conferences

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Keywords

additive manufacturing, powder bed fusion, laser models, thermal models, metamodel, ontology

Citation

Witherell, P. , Assouroko, I. , Byeong-Min, R. , Simpson, T. and Kumara, S. (2016), Ontology-based laser and thermal metamodels for metal-based additive manufacturing, Proceedings of the ASME 2016 International Design Engineering Technical Conference & Computers and information in Engineering Conference. IDETC/CIE 2016, Charlotte, NC, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=920577 (Accessed December 14, 2024)