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Andrew Gillman
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Journal Articles

Scalar Field Prediction on Meshes Using Interpolated Multiresolution Convolutional Neural Networks

Kevin Ferguson, Andrew Gillman, James Hardin, Levent Burak Kara
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Research Papers
J. Appl. Mech. October 2024, 91(10): 101002.
Paper No: JAM-23-1429
https://doi.org/10.1115/1.4065782
Published Online: July 12, 2024
View Article titled, Scalar Field Prediction on Meshes Using Interpolated Multiresolution Convolutional Neural Networks
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Topics: Convolutional neural networks, Interpolation, Scalar field theory, Shapes, Stress, Temperature, Testing, Finite element analysis, Resolution (Optics), Geometry
Journal Articles

Towards Data and Model Interoperability for Industrial Extended Reality in Manufacturing

William Z. Bernstein, Andrew Bowman, Ryan Durscher, Andrew Gillman, Sean Donegan
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. December 2023, 23(6): 060804.
Paper No: JCISE-23-1053
https://doi.org/10.1115/1.4062328
Published Online: May 9, 2023
View Article titled, Towards Data and Model Interoperability for Industrial Extended Reality in Manufacturing
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Topics: Augmented reality, Manufacturing, Design, Workflow
Proceedings Papers

Scalar Field Prediction on Topologically-Varying Graphs Using Spectral Shape Encoding

Kevin Ferguson, James Hardin, Andrew Gillman, Levent Burak Kara
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A017, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-91209
https://doi.org/10.1115/DETC2022-91209
View Paper titled, Scalar Field Prediction on Topologically-Varying Graphs Using Spectral Shape Encoding
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Topics: Encryption, Scalar field theory, Shapes, Stress, Finite element analysis, Temperature, Topology, Design, Engineering design, Finite element methods
Proceedings Papers

Generative Adversarial Design Analysis of Non-Convexity in Topology Optimization

Nathan Hertlein, Andrew Gillman, Philip R. Buskohl
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A044, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89997
https://doi.org/10.1115/DETC2022-89997
View Paper titled, Generative Adversarial Design Analysis of Non-Convexity in Topology Optimization
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Topics: Design, Optimization, Topology, Filtration, Boundary-value problems, Filters, Fluctuations (Physics), Machine learning, Performance
Journal Articles

Bayesian Optimization of Equilibrium States in Elastomeric Beams

David Yoo, Nathan Hertlein, Vincent W. Chen, Carson L. Willey, Andrew Gillman, Abigail Juhl, Sam Anand, Kumar Vemaganti, Philip R. Buskohl
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2021, 143(11): 111702.
Paper No: MD-20-1754
https://doi.org/10.1115/1.4050743
Published Online: May 28, 2021
View Article titled, Bayesian Optimization of Equilibrium States in Elastomeric Beams
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Topics: Design, Displacement, Optimization, Fourier series, Equilibrium (Physics)
Includes: Supplementary data
Proceedings Papers

Bayesian Optimization of Equilibrium States in Elastomeric Beams

David Yoo, Carson Wiley, Andrew Gillman, Vincent Chen, Abigail Juhl, Philip Buskohl
Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A065, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-98105
https://doi.org/10.1115/DETC2019-98105
View Paper titled, Bayesian Optimization of Equilibrium States in Elastomeric Beams
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Topics: Elastomers, Equilibrium (Physics), Finite element analysis, Optimization, Resonance
Proceedings Papers

Topology Optimization for Discovery of Auxetic Origami Structures

Andrew Gillman, Kazuko Fuchi, Alexander Cook, Alexander Pankonien, Philip R. Buskohl
Proc. ASME. IDETC-CIE2018, Volume 5B: 42nd Mechanisms and Robotics Conference, V05BT07A059, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85732
https://doi.org/10.1115/DETC2018-85732
View Paper titled, Topology Optimization for Discovery of Auxetic Origami Structures
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Topics: Optimization, Topology, Design, Bifurcation, Metamaterials, Modal analysis, Poisson ratio, Trusses (Building)
Proceedings Papers

Geometric Analysis of Adaptive Origami Channels for Heat Transfer Applications

Nathan Price, Andrew Gillman, Kazuko Fuchi, Edward J. Alyanak, Philip R. Buskohl
Proc. ASME. IDETC-CIE2017, Volume 5B: 41st Mechanisms and Robotics Conference, V05BT08A060, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-68343
https://doi.org/10.1115/DETC2017-68343
View Paper titled, Geometric Analysis of Adaptive Origami Channels for Heat Transfer Applications
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Topics: Heat transfer, Heat exchangers, Combustion, Electronics, Engines, Flow (Dynamics), Flow control, Heat, Temperature, Thermal management
Proceedings Papers

Discovering Origami Fold Patterns With Optimal Actuation Through Nonlinear Mechanics Analysis

Andrew Gillman, Kazuko Fuchi, Giorgio Bazzan, Edward J. Alyanak, Philip R. Buskohl
Proc. ASME. IDETC-CIE2017, Volume 5B: 41st Mechanisms and Robotics Conference, V05BT08A052, August 6–9, 2017
Publisher: American Society of Mechanical Engineers
Paper No: DETC2017-67927
https://doi.org/10.1115/DETC2017-67927
View Paper titled, Discovering Origami Fold Patterns With Optimal Actuation Through Nonlinear Mechanics Analysis
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Topics: Design, Genetic algorithms, Optimization, Optimization algorithms, Stiffness, Topology, Trusses (Building)