Event Knowledge Graph for a Knowledge-Based Design Process Model for Additive Manufacturing

Additive manufacturing (AM) technology is gaining acceptance as a strategic manufacturing technique for allowing new product development. Due to ongoing process improvement, design for AM (DFAM) has become a major issue in harnessing AM’s production and development possibilities to achieve design fr...

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Main Authors: Chen Guohui, Auwal Haruna, Chen Youze, Li Lunyong, Khandaker Noman, Yongbo Li, K. Eliker
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/13/2/112
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author Chen Guohui
Auwal Haruna
Chen Youze
Li Lunyong
Khandaker Noman
Yongbo Li
K. Eliker
author_facet Chen Guohui
Auwal Haruna
Chen Youze
Li Lunyong
Khandaker Noman
Yongbo Li
K. Eliker
author_sort Chen Guohui
collection DOAJ
description Additive manufacturing (AM) technology is gaining acceptance as a strategic manufacturing technique for allowing new product development. Due to ongoing process improvement, design for AM (DFAM) has become a major issue in harnessing AM’s production and development possibilities to achieve design freedom. The classical design process model does not encompass all the knowledge available to take advantage of design freedom. Therefore, a conceptual and in-depth analysis of design alternatives is necessary to determine the manufacturing process. As a result, this research proposed a design process model for a DFAM to attain design freedom with a unique approach and resource selection steps for fused deposition modeling (FDM) that uses an information model based on evolving knowledge and addressing the challenges. The proposed design process model uses an event knowledge graph (EKG) to outline the product manufacturability from the perspective of DFAM limitations. Event-based knowledge representation provides causality information for knowledge-based reasoning in causality analysis tasks. A relationship-aware mechanism is then used to express events on the graph that are directed from entities to occurrences to efficiently extract the most relevant details. Thus, this implements a step-by-step approach to process and resource specifications during the design stage. Consequently, it offers a comprehensive learning approach for establishing and modeling intrinsic relationships to attain flexibility and design freedom. The efficacy and feasibility of the proposed approach are verified by using an application case study of an intake system based on the airflow sensing rate and controls how much air is fed into the engine.
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spelling doaj-art-955a1e5787784d6388e8a8950ecf10702025-08-20T02:03:40ZengMDPI AGMachines2075-17022025-01-0113211210.3390/machines13020112Event Knowledge Graph for a Knowledge-Based Design Process Model for Additive ManufacturingChen Guohui0Auwal Haruna1Chen Youze2Li Lunyong3Khandaker Noman4Yongbo Li5K. Eliker6School of Aeronautics, Northwestern Polytechnical University, Xi’an 710060, ChinaSchool of Aeronautics, Northwestern Polytechnical University, Xi’an 710060, ChinaSchool of Aeronautics, Northwestern Polytechnical University, Xi’an 710060, ChinaSchool of Aeronautics, Northwestern Polytechnical University, Xi’an 710060, ChinaSchool of Civil Aviation, Northwestern Polytechnical University, Xi’an 710060, ChinaSchool of Aeronautics, Northwestern Polytechnical University, Xi’an 710060, ChinaSchool of Aeronautics, Northwestern Polytechnical University, Xi’an 710060, ChinaAdditive manufacturing (AM) technology is gaining acceptance as a strategic manufacturing technique for allowing new product development. Due to ongoing process improvement, design for AM (DFAM) has become a major issue in harnessing AM’s production and development possibilities to achieve design freedom. The classical design process model does not encompass all the knowledge available to take advantage of design freedom. Therefore, a conceptual and in-depth analysis of design alternatives is necessary to determine the manufacturing process. As a result, this research proposed a design process model for a DFAM to attain design freedom with a unique approach and resource selection steps for fused deposition modeling (FDM) that uses an information model based on evolving knowledge and addressing the challenges. The proposed design process model uses an event knowledge graph (EKG) to outline the product manufacturability from the perspective of DFAM limitations. Event-based knowledge representation provides causality information for knowledge-based reasoning in causality analysis tasks. A relationship-aware mechanism is then used to express events on the graph that are directed from entities to occurrences to efficiently extract the most relevant details. Thus, this implements a step-by-step approach to process and resource specifications during the design stage. Consequently, it offers a comprehensive learning approach for establishing and modeling intrinsic relationships to attain flexibility and design freedom. The efficacy and feasibility of the proposed approach are verified by using an application case study of an intake system based on the airflow sensing rate and controls how much air is fed into the engine.https://www.mdpi.com/2075-1702/13/2/112event knowledge graphdesign for additive manufacturingdesign freedomevent-triggered mechanismfused deposition modeling
spellingShingle Chen Guohui
Auwal Haruna
Chen Youze
Li Lunyong
Khandaker Noman
Yongbo Li
K. Eliker
Event Knowledge Graph for a Knowledge-Based Design Process Model for Additive Manufacturing
Machines
event knowledge graph
design for additive manufacturing
design freedom
event-triggered mechanism
fused deposition modeling
title Event Knowledge Graph for a Knowledge-Based Design Process Model for Additive Manufacturing
title_full Event Knowledge Graph for a Knowledge-Based Design Process Model for Additive Manufacturing
title_fullStr Event Knowledge Graph for a Knowledge-Based Design Process Model for Additive Manufacturing
title_full_unstemmed Event Knowledge Graph for a Knowledge-Based Design Process Model for Additive Manufacturing
title_short Event Knowledge Graph for a Knowledge-Based Design Process Model for Additive Manufacturing
title_sort event knowledge graph for a knowledge based design process model for additive manufacturing
topic event knowledge graph
design for additive manufacturing
design freedom
event-triggered mechanism
fused deposition modeling
url https://www.mdpi.com/2075-1702/13/2/112
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