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Enhancing Part Quality Management Using a Holistic Data Fusion Framework in Metal Powder Bed Fusion Additive Manufacturing.

, , , , , , and . J. Comput. Inf. Sci. Eng., (April 2024)

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AIERO: An algorithm for identifying engineering relationships in ontologies., , , and . Adv. Eng. Informatics, 27 (4): 555-565 (2013)Ensuring Quality in Metal Additive Manufacturing Through a V-Model Framework., , , , , and . IEEE Access, (2023)Enhancing Part Quality Management Using a Holistic Data Fusion Framework in Metal Powder Bed Fusion Additive Manufacturing., , , , , , and . J. Comput. Inf. Sci. Eng., (April 2024)A Framework for Identifying and Prioritizing Data Analytics opportunities in Additive Manufacturing., , , , and . IEEE BigData, page 3458-3467. IEEE, (2019)Feature-level Data Fusion for Energy Consumption Analytics in Additive Manufacturing., , , , and . CASE, page 612-617. IEEE, (2020)Ontology Network-Based In-Situ Sensor Selection for Quality Management in Metal Additive Manufacturing., , , , , , and . J. Comput. Inf. Sci. Eng., (February 2022)Machine Learning based Continuous Knowledge Engineering for Additive Manufacturing., , , and . CASE, page 648-654. IEEE, (2019)A Framework for Simulating the Path-level Residual Stress in the Laser Powder Bed Fusion Process., , and . CoRR, (2024)Functional Requirements of Software Tools for Laser-Based Powder Bed Fusion Additive Manufacturing for Metals., , , , , , and . J. Comput. Inf. Sci. Eng., (2023)STEP-NC Process Planning for Powder Bed Fusion Additive Manufacturing., , , , , , and . J. Comput. Inf. Sci. Eng., (February 2022)