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Journal Articles

A Data Augmentation Method for Data-driven Component Segmentation of Engineering Drawings

Wentai Zhang, Joe Joseph, Quan Chen, Can Koz, Liuyue Xie, Amit Regmi, Soji Yamakawa, Tomotake Furuhata, Kenji Shimada, Levent Burak Kara

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-22-1374

DOI: https://doi.org/10.1115/1.4062233

Published Online: March 29, 2023

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Topics: Engineering drawings, Image segmentation, Machine learning, Computers, Machinery, Computer-aided design, Design, Dimensions, Engineering systems and industry applications, Manufacturing

Proceedings Papers

Concurrent Build Direction, Part Segmentation, and Topology Optimization for Additive Manufacturing Using Neural Networks

Hongrui Chen, Kate S. Whitefoot, Levent Burak Kara

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A029, August 14–17, 2022

Paper No: DETC2022-90050

DOI: https://doi.org/10.1115/DETC2022-90050

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Topics: Additive manufacturing, Artificial neural networks, Image segmentation, Optimization, Topology, Density, Boundary-value problems, Displacement, Stress

Proceedings Papers

Automatic Power Plane Generation With Genetic Optimization and Multilayer Perceptron

Haiguang Liao, Vinay Patil, Xuliang Dong, Devika Shanbhag, Elias Fallon, Taylor Hogan, Mirko Spasojevic, Levent Burak Kara

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A003, August 14–17, 2022

Paper No: DETC2022-90046

DOI: https://doi.org/10.1115/DETC2022-90046

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Topics: Multilayer perceptron, Optimization, Design, Ablation (Vaporization technology), Printed circuit boards, Signals

Proceedings Papers

Data Augmentation of Engineering Drawings for Data-Driven Component Segmentation

Wentai Zhang, Quan Chen, Can Koz, Liuyue Xie, Amit Regmi, Soji Yamakawa, Tomotake Furuhata, Kenji Shimada, Levent Burak Kara

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A016, August 14–17, 2022

Paper No: DETC2022-91043

DOI: https://doi.org/10.1115/DETC2022-91043

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Topics: Engineering drawings, Image segmentation, Computers, Machinery, Design, Dimensions, Machine learning, Manufacturing

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

Paper No: DETC2022-91209

DOI: https://doi.org/10.1115/DETC2022-91209

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Topics: Encryption, Scalar field theory, Shapes, Stress, Finite element analysis, Temperature, Topology, Design, Engineering design, Finite element methods

Journal Articles

StressGAN: A Generative Deep Learning Model for Two-Dimensional Stress Distribution Prediction

Haoliang Jiang, Zhenguo Nie, Roselyn Yeo, Amir Barati Farimani, Levent Burak Kara

J. Appl. Mech. May 2021, 88(5): 051005.

Paper No: JAM-20-1553

DOI: https://doi.org/10.1115/1.4049805

Published Online: February 11, 2021

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Topics: Stress, Stress concentration, Geometry, Boundary-value problems

Journal Articles

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

Zhenguo Nie, Tong Lin, Haoliang Jiang, Levent Burak Kara

J. Mech. Des. March 2021, 143(3): 031715.

Paper No: MD-20-1434

DOI: https://doi.org/10.1115/1.4049533

Published Online: February 3, 2021

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Topics: Generators, Optimization, Stress, Topology, Boundary-value problems, Design, Displacement

Proceedings Papers

Spatial Reasoning About Mechanical Behaviors

Levent Burak Kara, Thomas F. Stahovich

Proc. ASME. IDETC-CIE2001, Volume 4: 13th International Conference on Design Theory and Methodology, 31-38, September 9–12, 2001

Paper No: DETC2001/DTM-21684

DOI: https://doi.org/10.1115/DETC2001/DTM-21684

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Topics: Engineering simulation, Mechanical behavior, Simulation

Proceedings Papers

Attention Routing: Track-Assignment Detailed Routing Using Attention-Based Reinforcement Learning

Haiguang Liao, Qingyi Dong, Xuliang Dong, Wentai Zhang, Wangyang Zhang, Weiyi Qi, Elias Fallon, Levent Burak Kara

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A002, August 17–19, 2020

Paper No: DETC2020-22219

DOI: https://doi.org/10.1115/DETC2020-22219

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Topics: Algorithms, Analog circuits, Circuits, Design, Integrated circuits

Proceedings Papers

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

Zhenguo Nie, Tong Lin, Haoliang Jiang, Levent Burak Kara

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A008, August 17–19, 2020

Paper No: DETC2020-22675

DOI: https://doi.org/10.1115/DETC2020-22675

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Topics: Optimization, Topology, Boundary-value problems, Errors, Generators, Design, Excitation, Network models, Stress

Proceedings Papers

StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction

Haoliang Jiang, Zhenguo Nie, Roselyn Yeo, Amir Barati Farimani, Levent Burak Kara

Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A023, August 17–19, 2020

Paper No: DETC2020-22682

DOI: https://doi.org/10.1115/DETC2020-22682

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Topics: Stress concentration, Stress, Boundary-value problems, Geometry, Artificial neural networks, Computation, Neural network models, Performance, Physics, Resolution (Optics)

Journal Articles

Optimization of Part Consolidation for Minimum Production Costs and Time Using Additive Manufacturing

Zhenguo Nie, Sangjin Jung, Levent Burak Kara, Kate S. Whitefoot

J. Mech. Des. July 2020, 142(7): 072001.

Paper No: MD-19-1214

DOI: https://doi.org/10.1115/1.4045106

Published Online: December 12, 2019

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Topics: Additive manufacturing, Design, Filters, Manufacturing, Optimization, Tradeoffs, Shades and shadows, Genetic algorithms, Metals

Includes: Supplementary data

Journal Articles

A Deep Reinforcement Learning Approach for Global Routing

Haiguang Liao, Wentai Zhang, Xuliang Dong, Barnabas Poczos, Kenji Shimada, Levent Burak Kara

J. Mech. Des. June 2020, 142(6): 061701.

Paper No: MD-19-1460

DOI: https://doi.org/10.1115/1.4045044

Published Online: November 25, 2019

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Topics: Algorithms, Design, Generators, Heat, Optimization, Pins (Engineering), Reinforcement learning, Wire, Circuits

Proceedings Papers

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

Zhenguo Nie, Haoliang Jiang, Levent Burak Kara

Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A011, August 18–21, 2019

Paper No: DETC2019-98472

DOI: https://doi.org/10.1115/DETC2019-98472

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Topics: Artificial neural networks, Stress

Proceedings Papers

Prediction of Nitrogen Concentration in Fuel Cells Using Data-Driven Modeling

Tong Lin, Leiming Hu, Shawn Litster, Levent Burak Kara

Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A012, August 18–21, 2019

Paper No: DETC2019-98477

DOI: https://doi.org/10.1115/DETC2019-98477

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Topics: Fuel cells, Modeling, Nitrogen, Anodes, Machine learning, Proton exchange membrane fuel cells, Computational fluid dynamics, Engineering simulation, Gases, Generators

Proceedings Papers

Optimization of Parts Consolidation for Minimum Production Costs and Time Using Additive Manufacturing

Zhenguo Nie, Sangjin Jung, Levent Burak Kara, Kate S. Whitefoot

Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A032, August 18–21, 2019

Paper No: DETC2019-97649

DOI: https://doi.org/10.1115/DETC2019-97649

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Topics: Additive manufacturing, Optimization, Manufacturing, Filters, Redundancy (Engineering), Aircraft, Cathode ray oscilloscopes, Electron beams, Energy consumption, Genetic algorithms

Proceedings Papers

3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders

Wentai Zhang, Zhangsihao Yang, Haoliang Jiang, Suyash Nigam, Soji Yamakawa, Tomotake Furuhata, Kenji Shimada, Levent Burak Kara

Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A017, August 18–21, 2019

Paper No: DETC2019-98525

DOI: https://doi.org/10.1115/DETC2019-98525

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Topics: Conceptual design, Optimization, Shapes, Design, Encryption, Engineering simulation, Generators, Physics, Shape design, Simulation

Journal Articles

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

Zhenguo Nie, Haoliang Jiang, Levent Burak Kara

J. Comput. Inf. Sci. Eng. February 2020, 20(1): 011002.

Paper No: JCISE-19-1077

DOI: https://doi.org/10.1115/1.4044097

Published Online: September 10, 2019

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Topics: Stress, Artificial neural networks, Geometry, Testing

Journal Articles

High Degree of Freedom Hand Pose Tracking Using Limited Strain Sensing and Optical Training

Wentai Zhang, Jonelle Z. Yu, Fangcheng Zhu, Yifang Zhu, Zhangsihao Yang, Nurcan Gecer Ulu, Batuhan Arisoy, Levent Burak Kara

J. Comput. Inf. Sci. Eng. September 2019, 19(3): 031014.

Paper No: JCISE-18-1249

DOI: https://doi.org/10.1115/1.4043757

Published Online: June 17, 2019

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Topics: Sensors, Strain gages, Strain sensors, Hardware, Algorithms, Artificial neural networks, Optimization

Journal Articles

Wisdom of Microcrowds in Evaluating Solutions to Esoteric Engineering Problems

Nurcan Gecer Ulu, Michael Messersmith, Kosa Goucher-Lambert, Jonathan Cagan, Levent Burak Kara

J. Mech. Des. August 2019, 141(8): 081102.

Paper No: MD-18-1287

DOI: https://doi.org/10.1115/1.4042615

Published Online: April 16, 2019

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Topics: Conceptual design, Design, Engineering design, Errors, Printing, Structural analysis, Structural mechanics

Journal citation

NARROW

Supplemental Material

Manuscript

A Data Augmentation Method for Data-driven Component Segmentation of Engineering Drawings

Concurrent Build Direction, Part Segmentation, and Topology Optimization for Additive Manufacturing Using Neural Networks

Automatic Power Plane Generation With Genetic Optimization and Multilayer Perceptron

Data Augmentation of Engineering Drawings for Data-Driven Component Segmentation

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

StressGAN: A Generative Deep Learning Model for Two-Dimensional Stress Distribution Prediction

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

Spatial Reasoning About Mechanical Behaviors

Attention Routing: Track-Assignment Detailed Routing Using Attention-Based Reinforcement Learning

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction

Optimization of Part Consolidation for Minimum Production Costs and Time Using Additive Manufacturing

A Deep Reinforcement Learning Approach for Global Routing

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

Prediction of Nitrogen Concentration in Fuel Cells Using Data-Driven Modeling

Optimization of Parts Consolidation for Minimum Production Costs and Time Using Additive Manufacturing

3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

High Degree of Freedom Hand Pose Tracking Using Limited Strain Sensing and Optical Training

Wisdom of Microcrowds in Evaluating Solutions to Esoteric Engineering Problems

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