Ontology-based Metamodeling and Data Mining for Metal Additive Manufacturing
Open Access
- Author:
- Roh, Byeong Min
- Graduate Program:
- Industrial Engineering
- Degree:
- Master of Science
- Document Type:
- Master Thesis
- Date of Defense:
- December 06, 2017
- Committee Members:
- Timothy W. Simpson, Thesis Advisor/Co-Advisor
- Keywords:
- additive manufacturing
ontology
thermal model
visualization
network - Abstract:
- Additive manufacturing (AM) is a promising technology that is revolutionalizing industry by allowing the production of almost any shape directly from a 3D model; however, metal AM processes are still not well understood. They have low repeatability as a result, and the it is inherently difficult to predict part quality. The metal AM process is also difficult to control due to the complex physical phenomena involved in metal AM part production. In metal-based AM, numerous process parameters need to be specified, and they are highly interconnected, yet their interconnections are not yet fully understood. Understanding this interconnectivity is the first step in building predictive models and process control models that will help make the process more repeatable and reliable. Ontologies can be used to conceptualize models of complex AM processes and capture diverse design and process parameters to enable standard simulation models along with graphical views using common terminology, process maps, and modeling protocols. In this thesis, we consider different process models for laser, thermal, microstructure, and mechanical properties for metal-based AM of Ti-6Al-4V and develop an AM Process Ontology from first-principles. We discuss and demonstrate its implementation in Protégé.