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Daniele Grandi
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Journal Articles

What's in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models through User-Provided Names in CAD Files

Accepted Manuscript
Peter Meltzer, Joseph Lambourne, Daniele Grandi
Journal: Journal of Computing and Information Science in Engineering
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-23-1017
DOI: https://doi.org/10.1115/1.4062454
Published Online: May 3, 2023
View Article titled, What's in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models through User-Provided Names in CAD Files
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Topics: Computer-aided design, Manufacturing, Semantics
Journal Articles

Embedding Experiential Design Knowledge in Interactive Knowledge Graphs

Ye Wang, Nicole Goridkov, Vivek Rao, Dixun Cui, Daniele Grandi, Kosa Goucher-Lambert
Journal: Journal of Mechanical Design
Article Type: Research Papers
J. Mech. Des. April 2023, 145(4): 041412.
Paper No: MD-22-1323
DOI: https://doi.org/10.1115/1.4056800
Published Online: February 20, 2023
View Article titled, Embedding Experiential Design Knowledge in Interactive Knowledge Graphs
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Topics: Design
Proceedings Papers

Capturing Designers’ Experiential Knowledge in Scalable Representation Systems: A Case Study of Knowledge Graphs for Product Teardowns

Nicole Goridkov, Vivek Rao, Dixun Cui, Daniele Grandi, Ye Wang, Kosa Goucher-Lambert
Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A032, August 14–17, 2022
Paper No: DETC2022-90697
DOI: https://doi.org/10.1115/DETC2022-90697
View Paper titled, Capturing Designers’ Experiential Knowledge in Scalable Representation Systems: A Case Study of Knowledge Graphs for Product Teardowns
Click here to open pdf in another window PDF for Capturing Designers’ Experiential Knowledge in Scalable Representation Systems: A Case Study of Knowledge Graphs for Product Teardowns
Topics: Design, Dimensions, Engineering design, Engineering design processes, Engineering disciplines, Semantics
Proceedings Papers

Material Prediction for Design Automation Using Graph Representation Learning

Shijie Bian, Daniele Grandi, Kaveh Hassani, Elliot Sadler, Bodia Borijin, Axel Fernandes, Andrew Wang, Thomas Lu, Richard Otis, Nhut Ho, Bingbing Li
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A001, August 14–17, 2022
Paper No: DETC2022-88049
DOI: https://doi.org/10.1115/DETC2022-88049
View Paper titled, Material Prediction for Design Automation Using Graph Representation Learning
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Topics: Design automation, Design, Manufacturing, Artificial neural networks, Computer-aided design, Sustainability
Proceedings Papers

Understanding Professional Designers’ Knowledge Organization Behavior: A Case Study in Product Teardowns

Ye Wang, Daniele Grandi, Dixun Cui, Vivek Rao, Kosa Goucher-Lambert
Proc. ASME. IDETC-CIE2021, Volume 6: 33rd International Conference on Design Theory and Methodology (DTM), V006T06A046, August 17–19, 2021
Paper No: DETC2021-68589
DOI: https://doi.org/10.1115/DETC2021-68589
View Paper titled, Understanding Professional Designers’ Knowledge Organization Behavior: A Case Study in Product Teardowns
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Topics: Collaboration, Design, Engineering design, Knowledge transfer, Manufacturing, Teams, Tradeoffs
Journal Articles

Classifying Component Function in Product Assemblies With Graph Neural Networks

Vincenzo Ferrero, Bryony DuPont, Kaveh Hassani, Daniele Grandi
Journal: Journal of Mechanical Design
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021406.
Paper No: MD-21-1111
DOI: https://doi.org/10.1115/1.4052720
Published Online: November 9, 2021
View Article titled, Classifying Component Function in Product Assemblies With Graph Neural Networks
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Topics: Artificial neural networks, Design, Flow (Dynamics), Manufacturing, Product design
Proceedings Papers

Embedded Sensors and Feedback Loops for Iterative Improvement in Design Synthesis for Additive Manufacturing

Mehdi Nourbakhsh, Nigel Morris, Michael Bergin, Francesco Iorio, Daniele Grandi
Proc. ASME. IDETC-CIE2016, Volume 1A: 36th Computers and Information in Engineering Conference, V01AT02A031, August 21–24, 2016
Paper No: DETC2016-59627
DOI: https://doi.org/10.1115/DETC2016-59627
View Paper titled, Embedded Sensors and Feedback Loops for Iterative Improvement in Design Synthesis for Additive Manufacturing
Click here to open pdf in another window PDF for Embedded Sensors and Feedback Loops for Iterative Improvement in Design Synthesis for Additive Manufacturing
Topics: Additive manufacturing, Design, Feedback, Sensors, Internet of things, Engineering prototypes, Engineers, Optimization, Topology, Tradeoffs