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Integrating Graph Retrieval-Augmented Generation With Large Language Models for Supplier Discovery
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: As supply chain complexity and dynamism challenge traditional management approaches, integrating large language models (LLMs) and knowledge graphs (KGs) emerges as a promising method for advancing supply chain analytics. ...
Diffusion Modeling-Based Generative Multimodal Data Fusion for Aerosol Jet Electronics Printing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. The rising demand for high-value electronics necessitates advanced manufacturing techniques capable of meeting stringent specifications for precise, complex, and compact devices, driving the shift toward innovative ...
A Design for Additive Manufacturing Ontology to Support Manufacturability Analysis
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: Design for additive manufacturing (DFAM) provides design freedom for creating complex geometries and guides designers to ensure the manufacturability of parts fabricated using additive manufacturing (AM) processes. However, ...
Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Data-driven research in additive manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature emerging. The knowledge in these works consists of AM and artificial ...
Enhancing Part Quality Management Using a Holistic Data Fusion Framework in Metal Powder Bed Fusion Additive Manufacturing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Metal powder bed fusion additive manufacturing (AM) processes have gained widespread adoption for the ability to produce complex geometries with high performance. However, a multitude of factors still affect the build ...
Generative Model Predictive Control in Manufacturing Processes: A Review
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Manufacturing processes are inherently dynamic and uncertain, with varying parameters and nonlinear behaviors, making robust control essential for maintaining quality and reliability. Traditional control methods ...
Functional Requirements of Software Tools for Laser-Based Powder Bed Fusion Additive Manufacturing for Metals
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Additive manufacturing (AM) for metals is rapidly transitioning to an accepted production technology, which has led to increasing demands for data analysis and software tools. The performance of laser-based powder bed ...
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