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Proceedings Papers

Design of Customized Noncircular Chainrings for Cycling

Alejandra Polanco, Jose Duran, Luis Muñoz, Santiago Sabogal

Proc. ASME. IDETC-CIE2022, Volume 1: 24th International Conference on Advanced Vehicle Technologies (AVT), V001T01A009, August 14–17, 2022

Paper No: DETC2022-89204

DOI: https://doi.org/10.1115/DETC2022-89204

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Topics: Aluminum, Bicycles, Computer numerical control machine tools, Computer simulation, Cycles, Design, Design engineering, Engineering prototypes, Experimental characterization, Geometry

Proceedings Papers

Knowledge and Data-Based Design and Dimensioning of Mechanical Joining Connections

Christoph Zirngibl, Christopher Sauer, Benjamin Schleich, Sandro Wartzack

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A071, August 14–17, 2022

Paper No: DETC2022-89172

DOI: https://doi.org/10.1115/DETC2022-89172

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Topics: Design, Dimensions, Joining, Manufacturing, Blanks, Emissions, Energy efficiency, Engineers, Product design, Reliability

Proceedings Papers

Anomaly Detection of Laser Powder Bed Fusion Melt Pool Images Using Combined Unsupervised and Supervised Learning Methods

Matthew M. Sato, Vivian Wen Hui Wong, Kincho H. Law, Ho Yeung, Zhuo Yang, Brandon Lane, Paul Witherell

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A070, August 14–17, 2022

Paper No: DETC2022-88313

DOI: https://doi.org/10.1115/DETC2022-88313

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Topics: Additive manufacturing, Artificial neural networks, Lasers, Algorithms, Machine learning, Machinery, Manufacturing, Metals, Process control, Shapes

Proceedings Papers

ShapOrator: Enabling Design Iteration for Young Designers Through Shape Verbalization

Shantanu Vyas, Ting-Ju Chen, Jay Woodward, Vinayak R. Krishnamurthy

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A053, August 14–17, 2022

Paper No: DETC2022-90176

DOI: https://doi.org/10.1115/DETC2022-90176

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Topics: Design, Shapes, Space vehicles, Students, K-12 students, Manufacturing

Proceedings Papers

Developing Requirements for a Manufacturing Training Platform: A Three-Pronged Approach

Rahul Sharan Renu, James Righter, Jada Lytch

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A052, August 14–17, 2022

Paper No: DETC2022-89556

DOI: https://doi.org/10.1115/DETC2022-89556

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Topics: Manufacturing, Natural language processing

Proceedings Papers

Learning the Part Shape and Part Quality Generation Capabilities of Machining and Finishing Processes Using a Neural Network Model

Changxuan Zhao, Shreyes N. Melkote

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A010, August 14–17, 2022

Paper No: DETC2022-91115

DOI: https://doi.org/10.1115/DETC2022-91115

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Topics: Artificial neural networks, Finishing, Machining, Manufacturing, Neural network models, Shapes, Computer-aided engineering, Design, Geometry, Production planning

Proceedings Papers

A Parallel Multi-Constraint Topology Optimization Solver

Adrian Diaz, Nathaniel Morgan, John Bernardin

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A034, August 14–17, 2022

Paper No: DETC2022-89514

DOI: https://doi.org/10.1115/DETC2022-89514

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Topics: Optimization, Topology, Algorithms, Bearings, Density, Design, Equilibrium (Physics), Errors, Filters, Finite element analysis

Proceedings Papers

Reinforcement Learning As an Alternative for Parameter Prediction In Design for Sheet Bulk Metal Forming

Fabian Dworschak, Christopher Sauer, Benjamin Schleich, Sandro Wartzack

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A001, August 14–17, 2022

Paper No: DETC2022-89073

DOI: https://doi.org/10.1115/DETC2022-89073

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Topics: Design, Metalworking, Reinforcement learning, Genetic algorithms, Machine learning, Manufacturing, Pareto optimization, Probes

Proceedings Papers

Personalized Product Design Through Digital Fabrication

A. (Sander) L. M. Minnoye, Farzam Tajdari, E. (Zjenja) L. Doubrovski, Jun Wu, Felix Kwa, Willemijn S. Elkhuizen, Toon Huysmans, Yu (Wolf) Song

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A054, August 14–17, 2022

Paper No: DETC2022-91173

DOI: https://doi.org/10.1115/DETC2022-91173

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Topics: Additive manufacturing, Design, Manufacturing, Product design, Product evaluation

Proceedings Papers

Localized Dielectric Sintering With Magnetron for Microwave Material Processing

Benjamin D. Graber, Athanasios P. Iliopoulos, John G. Michopoulos, John C. Steuben, Andrew J. Birnbaum, Edward P. Gorzkowski, Eric A. Patterson, Richard P. Fischer, George M. Petrov, Luke A. Johnson

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A037, August 14–17, 2022

Paper No: DETC2022-91132

DOI: https://doi.org/10.1115/DETC2022-91132

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Topics: Materials processing, Microwaves, Sintering, Temperature, Heating, Materials properties, Microwave propagation, Radiation (Physics), Cavities, Ceramics

Proceedings Papers

A Sequential Decision Making Approach to Learn Process Parameters by Conducting Experiments on Sacrificial Objects

Yeo Jung Yoon, Satyandra K. Gupta

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A004, August 14–17, 2022

Paper No: DETC2022-89810

DOI: https://doi.org/10.1115/DETC2022-89810

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Topics: Decision making, Computation, Manufacturing, Metamodeling, Painting, Risk, Robotics, Sprays, Tradeoffs

Proceedings Papers

An Information-Decision Framework to Support Cooperative Decision Making in the Top-Down Design of Cyber-Physical-Manufacturing Systems

Mathew Baby, Anand Balu Nellippallil

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A020, August 14–17, 2022

Paper No: DETC2022-90836

DOI: https://doi.org/10.1115/DETC2022-90836

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Topics: Decision making, Design, Manufacturing

Proceedings Papers

Periodic Composite Function-Based Designing of Microstructures With Programmable Poisson Ratio

Yilong Zhang, Yuxuan Du, Ye Qiao, Shu Wang, Cunfu Wang

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A045, August 14–17, 2022

Paper No: DETC2022-89374

DOI: https://doi.org/10.1115/DETC2022-89374

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Topics: Composite materials, Design, Poisson ratio, Architecture, Additive manufacturing, Deformation, Mechanical properties, Equipment performance, Geometry, Manufacturing

Proceedings Papers

Empirical Characterization of Lattice, Spring, and Non-Assembly Mechanisms Fabricated With Nylon Polymer Powder Bed Fusion

Nava Raj Khatri, Johnathan A. Smith, Paul F. Egan

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A031, August 14–17, 2022

Paper No: DETC2022-90246

DOI: https://doi.org/10.1115/DETC2022-90246

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Topics: Manufacturing, Nylon fabrics, Polymers, Springs, Printing, Additive manufacturing, Artificial limbs, Compression, Design, Mechanical testing

Proceedings Papers

Automatic Shape Modification for Self-Supporting Structures in Additive Manufacturing

Jiangce Chen, Matt Patterson, Amir M. Mirzendehdel, Morad Behandish

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A027, August 14–17, 2022

Paper No: DETC2022-89054

DOI: https://doi.org/10.1115/DETC2022-89054

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Topics: Additive manufacturing, Shapes, Manufacturing, Optimization, Packing (Shipments), Packings (Cushioning), Design, Geometry, Manifolds, Manufacturing technology

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

A Data-Driven Design Approach for Carbon Emission Prediction of Machining

Yuxuan Chen, Wei Yan, Hua Zhang, Ying Liu, Zhigang Jiang, Xumei Zhang

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A062, August 14–17, 2022

Paper No: DETC2022-90465

DOI: https://doi.org/10.1115/DETC2022-90465

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Topics: Carbon, Data-driven design, Emissions, Machining, Design, Errors, Manufacturing industry, Artificial neural networks, Computer-aided design, Data collection

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

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Topics: Design automation, Design, Manufacturing, Artificial neural networks, Computer-aided design, Sustainability

Proceedings Papers

Analyzing Expert Design Cost Estimation for Additive Manufacturing

Glen Williams, Nicholas A. Meisel, Timothy W. Simpson, Christopher McComb

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A032, August 14–17, 2022

Paper No: DETC2022-90260

DOI: https://doi.org/10.1115/DETC2022-90260

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Topics: Additive manufacturing, Design, Computer-aided design, Experimental design, Lasers, Manufacturing, Metals, Project cost estimation, Statistics, Tooling

Proceedings Papers

In-Process Data Integration for Laser Powder Bed Fusion Additive Manufacturing

Milica Perisic, Yan Lu, Albert Jones

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A074, August 14–17, 2022

Paper No: DETC2022-91034

DOI: https://doi.org/10.1115/DETC2022-91034

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Topics: Additive manufacturing, Data fusion, Lasers, Real-time control, Computer-aided design, Economics , Manufacturing, Sensors

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NARROW

Design of Customized Noncircular Chainrings for Cycling

Knowledge and Data-Based Design and Dimensioning of Mechanical Joining Connections

Anomaly Detection of Laser Powder Bed Fusion Melt Pool Images Using Combined Unsupervised and Supervised Learning Methods

ShapOrator: Enabling Design Iteration for Young Designers Through Shape Verbalization

Developing Requirements for a Manufacturing Training Platform: A Three-Pronged Approach

Learning the Part Shape and Part Quality Generation Capabilities of Machining and Finishing Processes Using a Neural Network Model

A Parallel Multi-Constraint Topology Optimization Solver

Reinforcement Learning As an Alternative for Parameter Prediction In Design for Sheet Bulk Metal Forming

Personalized Product Design Through Digital Fabrication

Localized Dielectric Sintering With Magnetron for Microwave Material Processing

A Sequential Decision Making Approach to Learn Process Parameters by Conducting Experiments on Sacrificial Objects

An Information-Decision Framework to Support Cooperative Decision Making in the Top-Down Design of Cyber-Physical-Manufacturing Systems

Periodic Composite Function-Based Designing of Microstructures With Programmable Poisson Ratio

Empirical Characterization of Lattice, Spring, and Non-Assembly Mechanisms Fabricated With Nylon Polymer Powder Bed Fusion

Automatic Shape Modification for Self-Supporting Structures in Additive Manufacturing

Data Augmentation of Engineering Drawings for Data-Driven Component Segmentation

A Data-Driven Design Approach for Carbon Emission Prediction of Machining

Material Prediction for Design Automation Using Graph Representation Learning

Analyzing Expert Design Cost Estimation for Additive Manufacturing

In-Process Data Integration for Laser Powder Bed Fusion Additive Manufacturing

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