6 papers
LLM-ADAM: A Generalizable LLM Agent Framework for Pre-Print Anomaly Detection in Additive Manufacturing
Ahmadreza Eslaminia, Chuhan Cai, Cameron Smith +5
Additive manufacturing (AM) continues to transform modern manufacturing by enabling flexible, on-demand production of complex geometries across diverse industries. Fused filament f…
Hyperdimensional Computing for Sustainable Manufacturing: An Initial Assessment
Danny Hoang, Anandkumar Patel, Ruimen Chen +2
Smart manufacturing can significantly improve efficiency and reduce energy consumption, yet the energy demands of AI models may offset these gains. This study utilizes in-situ sens…
Domain-Aware Hyperdimensional Computing for Edge Smart Manufacturing
Fardin Jalil Piran, Anandkumar Patel, Rajiv Malhotra +1
Smart manufacturing requires on-device intelligence that meets strict latency and energy budgets. HyperDimensional Computing (HDC) offers a lightweight alternative by encoding data…
Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models
Kiarash Naghavi Khanghah, Zhiling Chen, Lela Romeo +4
Additive manufacturing enables the fabrication of complex designs while minimizing waste, but faces challenges related to defects and process anomalies. This study presents a novel…
Large Language Models for Extrapolative Modeling of Manufacturing Processes
Kiarash Naghavi Khanghah, Anandkumar Patel, Rajiv Malhotra +1
Conventional predictive modeling of parametric relationships in manufacturing processes is limited by the subjectivity of human expertise and intuition on the one hand and by the c…
FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing Tasks
Ahmadreza Eslaminia, Adrian Jackson, Beitong Tian +5
Fused Deposition Modeling (FDM) is a widely used additive manufacturing (AM) technique valued for its flexibility and cost-efficiency, with applications in a variety of industries…