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Proceedings Papers

Inverse-Prediction of Material Property in Fused Filament Fabrication/Fused Deposition Modeling

Junghun Lee, Hadiza Yusuf, Conrad Tucker
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A036, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143840
https://doi.org/10.1115/DETC2024-143840
View Paper titled, Inverse-Prediction of Material Property in Fused Filament Fabrication/Fused Deposition Modeling
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Topics: Manufacturing, Materials properties, Modeling, Printing, Geometry, Yield strength, Young's modulus, Additive manufacturing, Computer-aided design, Deep learning
Proceedings Papers

Bond-DQN: Deep Q-Learning of Lumped-Element Systems Design via Bond Graphs

Daniel Nguyen, Conrad Tucker
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A052, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143062
https://doi.org/10.1115/DETC2024-143062
View Paper titled, Bond-DQN: Deep Q-Learning of Lumped-Element Systems Design via Bond Graphs
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Topics: Artificial neural networks, Design, Circuits, Design automation, Dynamics (Mechanics), Generative design, Machine learning, Modeling, Optimization, Optimization algorithms
Proceedings Papers

Increasing Accessibility of 3D-Printed Customized Prosthetics in Resource-Constrained Communities

Junghun Lee, Chukwuemeka Nkama, Hadiza Yusuf, Joseph Maina, Jean Ikuzwe, Jean Byiringiro, Moise Busogi, Conrad Tucker
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A024, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143810
https://doi.org/10.1115/DETC2024-143810
View Paper titled, Increasing Accessibility of 3D-Printed Customized Prosthetics in Resource-Constrained Communities
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Topics: Additive manufacturing, Artificial limbs
Proceedings Papers

Reducing the Barriers to Designing 3D-Printable Prosthetics In Resource-Constrained Environments

Junghun Lee, Andrew Chesang, Michael Gichane, Moise Busogi, Jean Byiringiro, Conrad Tucker
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A020, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116399
https://doi.org/10.1115/DETC2023-116399
View Paper titled, Reducing the Barriers to Designing 3D-Printable Prosthetics In Resource-Constrained Environments
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Topics: Artificial limbs, Computers, Design, Prostheses
Journal Articles

GCP-HOLO: Generating High-Order Linkage Graphs for Path Synthesis

Mitchell B. Fogelson, Conrad Tucker, Jonathan Cagan
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. July 2023, 145(7): 073303.
Paper No: MD-22-1425
https://doi.org/10.1115/1.4062147
Published Online: April 19, 2023
View Article titled, GCP-HOLO: Generating High-Order Linkage Graphs for Path Synthesis
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Topics: Design, Linkages, Optimization
Journal Articles

Special Issue: Artificial Intelligence and Engineering Design

James T. Allison, Michel-Alexandre Cardin, Chris McComb, Max Yi Ren, Daniel Selva, Conrad Tucker, Paul Witherell, Yaoyao Fiona Zhao
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Guest Editorial
J. Mech. Des. February 2022, 144(2): 020301.
Paper No: MD-21-1686
https://doi.org/10.1115/1.4053111
Published Online: January 11, 2022
View Article titled, Special Issue: Artificial Intelligence and Engineering Design
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Topics: Design, Engineering design, Artificial intelligence
Proceedings Papers

Comparing Attribute- and Form-Based Machine Learning Techniques for Component Prediction

Glen Williams, Lucas Puentes, Jacob Nelson, Jessica Menold, Conrad Tucker, Christopher McComb
Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A019, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22256
https://doi.org/10.1115/DETC2020-22256
View Paper titled, Comparing Attribute- and Form-Based Machine Learning Techniques for Component Prediction
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Topics: Machine learning, Algorithms, Gears, Engineers, Neural network models, Sales, Three-dimensional models
Proceedings Papers

Mobile Based Real-Time Occlusion Between Real and Digital Objects in Augmented Reality

Pranav Jain, Conrad Tucker
Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A085, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-98440
https://doi.org/10.1115/DETC2019-98440
View Paper titled, Mobile Based Real-Time Occlusion Between Real and Digital Objects in Augmented Reality
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Topics: Computers, Errors, Fittings, Laptop computers, Machine learning, Machinery, Sensors
Proceedings Papers

Pixel to Stroke Sketch Generation Using Reinforcement Learning

Haizhou Wang, Conrad Tucker
Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A013, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-98481
https://doi.org/10.1115/DETC2019-98481
View Paper titled, Pixel to Stroke Sketch Generation Using Reinforcement Learning
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Topics: Blanks, Canvas, Design, Dimensions, Engineering design, Random noise, Trains
Journal Articles

Special Issue: Machine Learning for Engineering Design

Jitesh H. Panchal, Mark Fuge, Ying Liu, Samy Missoum, Conrad Tucker
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Guest Editorial
J. Mech. Des. November 2019, 141(11): 110301.
Paper No: MD-19-1579
https://doi.org/10.1115/1.4044690
Published Online: October 18, 2019
View Article titled, Special Issue: Machine Learning for Engineering Design
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Topics: Design, Engineering design, Machine learning, Optimization
Journal Articles

Spatial Grammar-Based Recurrent Neural Network for Design Form and Behavior Optimization

Gary M. Stump, Simon W. Miller, Michael A. Yukish, Timothy W. Simpson, Conrad Tucker
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Technical Briefs
J. Mech. Des. December 2019, 141(12): 124501.
Paper No: MD-19-1169
https://doi.org/10.1115/1.4044398
Published Online: September 30, 2019
View Article titled, Spatial Grammar-Based Recurrent Neural Network for Design Form and Behavior Optimization
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Topics: Design, Optimization
Proceedings Papers

Do Technological Advancements Lead to Learning Enhancements?: An Exploration in Virtual Product Dissection

Elizabeth M. Starkey, Cailyn Spencer, Kevin Lesniak, Conrad Tucker, Scarlett R. Miller
Proc. ASME. IDETC-CIE2017, Volume 3: 19th International Conference on Advanced Vehicle Technologies; 14th International Conference on Design Education; 10th Frontiers in Biomedical Devices, V003T04A005, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-68237
https://doi.org/10.1115/DETC2017-68237
View Paper titled, Do Technological Advancements Lead to Learning Enhancements?: An Exploration in Virtual Product Dissection
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Topics: Computers, Engineering teachers, Students, Undergraduate students, Virtual reality
Journal Articles

Automatic Facial Feature Extraction for Predicting Designers' Comfort With Engineering Equipment During Prototype Creation

Shruthi Bezawada, Qianyu Hu, Allison Gray, Timothy Brick, Conrad Tucker
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. February 2017, 139(2): 021102.
Paper No: MD-16-1285
https://doi.org/10.1115/1.4035428
Published Online: January 6, 2017
View Article titled, Automatic Facial Feature Extraction for Predicting Designers' Comfort With Engineering Equipment During Prototype Creation
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Topics: Design, Engineering prototypes, Feedback, Regression models, Support vector machines, Machinery, Teams
Proceedings Papers

Exploring the Link Between Task Complexity and Students’ Affective States During Engineering Laboratory Activities

Qianyu Hu, Shruthi Bezawada, Allison Gray, Conrad Tucker, Timothy Brick
Proc. ASME. IDETC-CIE2016, Volume 3: 18th International Conference on Advanced Vehicle Technologies; 13th International Conference on Design Education; 9th Frontiers in Biomedical Devices, V003T04A019, August 21–24, 2016
Publisher: American Society of Mechanical Engineers
Paper No: DETC2016-59757
https://doi.org/10.1115/DETC2016-59757
View Paper titled, Exploring the Link Between Task Complexity and Students’ Affective States During Engineering Laboratory Activities
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Topics: Engineering laboratories, Students, Machinery, Feedback, Risk, Sawing machines, Testing
Proceedings Papers

A Privacy Preserving Data Mining Methodology for Dynamically Predicting Emerging Human Threats

Gautam Manohar, Conrad Tucker
Proc. ASME. IDETC-CIE2013, Volume 2A: 33rd Computers and Information in Engineering Conference, V02AT02A069, August 4–7, 2013
Publisher: American Society of Mechanical Engineers
Paper No: DETC2013-13155
https://doi.org/10.1115/DETC2013-13155
View Paper titled, A Privacy Preserving Data Mining Methodology for Dynamically Predicting Emerging Human Threats
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Topics: Data mining, Monitoring systems, Machine learning, Spacetime, Surveillance
Proceedings Papers

The Assessment of Product Archaeology as a Platform for Contextualizing Engineering Design

Kemper Lewis, Deborah Moore-Russo, Phil Cormier, Andrew Olewnik, Gül Kremer, Conrad Tucker, Tim Simpson, Omar Ashour
Proc. ASME. IDETC-CIE2013, Volume 1: 15th International Conference on Advanced Vehicle Technologies; 10th International Conference on Design Education; 7th International Conference on Micro- and Nanosystems, V001T04A024, August 4–7, 2013
Publisher: American Society of Mechanical Engineers
Paper No: DETC2013-13165
https://doi.org/10.1115/DETC2013-13165
View Paper titled, The Assessment of Product Archaeology as a Platform for Contextualizing Engineering Design
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Topics: Bridges (Structures), Competencies, Concretes, Education, Engineering design, Engineering students, Performance, Sustainability, Undergraduate students