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Journal Articles

Special Section Highlights of CIE 2022

Mahesh Mani, Paul Witherell, Caterina Rizzi

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-23-1128

DOI: https://doi.org/10.1115/1.4062144

Published Online: March 17, 2023

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Topics: Computer-aided engineering, Computers, Computers and information in engineering , Design engineering, Engineering systems and industry applications, Knowledge management, Machine learning, Mechanical engineers, Modeling, Simulation

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

STEP-NC Compliant Data Representations for Powder Bed Fusion in Additive Manufacturing

Fahad Milaat, Paul Witherell, Martin Hardwick, Ho Yeung, Vincenzo Ferrero, Laetitia Monnier, Matthew Brown

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A017, August 14–17, 2022

Paper No: DETC2022-90673

DOI: https://doi.org/10.1115/DETC2022-90673

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Topics: Additive manufacturing, Manufacturing, Geometry, Bridges (Structures), Machining, Modeling, Production planning, Simulation results

Journal Articles

Ontology Network-Based In-Situ Sensor Selection for Quality Management in Metal Additive Manufacturing

Byeong-Min Roh, Soundar R. T. Kumara, Hui Yang, Timothy W. Simpson, Paul Witherell, Albert T. Jones, Yan Lu

J. Comput. Inf. Sci. Eng. December 2022, 22(6): 060905.

Paper No: JCISE-22-1143

DOI: https://doi.org/10.1115/1.4055853

Published Online: October 27, 2022

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Topics: Ontologies, Sensors

Journal Articles

STEP-NC Process Planning for Powder Bed Fusion Additive Manufacturing

Fahad Ali Milaat, Paul Witherell, Martin Hardwick, Ho Yeung, Vincenzo Ferrero, Laetitia Monnier, Matthew Brown

J. Comput. Inf. Sci. Eng. December 2022, 22(6): 060904.

Paper No: JCISE-22-1142

DOI: https://doi.org/10.1115/1.4055855

Published Online: October 20, 2022

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Topics: Additive manufacturing, Manufacturing, Production planning, Simulation, Geometry, Modeling, Machinery, Lasers

Journal Articles

Functional Requirements of Software Tools for Laser-Based Powder Bed Fusion Additive Manufacturing for Metals

Shaw C. Feng, Tesfaye Moges, Hyunseop Park, Mostafa Yakout, Albert T. Jones, Hyunwoong Ko, Paul Witherell

J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031005.

Paper No: JCISE-21-1403

DOI: https://doi.org/10.1115/1.4054933

Published Online: August 8, 2022

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Topics: Additive manufacturing, Computer software, Design, Lasers, Metals, Modeling, Production planning, Sensors

Journal Articles

Special Issue: Highlights of CIE 2021

Marina Carulli, Seung-Kyum Choi, Tsz Ho Kwok, Yan Lu, Mahesh Mani, Paul Witherell

J. Comput. Inf. Sci. Eng. June 2022, 22(3): 030301.

Paper No: JCISE-22-1090

DOI: https://doi.org/10.1115/1.4054201

Published Online: April 29, 2022

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Topics: Computer software, Computer-aided engineering, Computers, Computers and information in engineering , Cyber-physical systems, Design, Design engineering, Geometric modeling, Haptics, Hardware

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

J. Mech. Des. February 2022, 144(2): 020301.

Paper No: MD-21-1686

DOI: https://doi.org/10.1115/1.4053111

Published Online: January 11, 2022

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Topics: Design, Engineering design, Artificial intelligence

Journal Articles

Multi-Objective Optimization Under Uncertainty of Part Quality in Fused Filament Fabrication

Berkcan Kapusuzoglu, Paromita Nath, Matthew Sato, Sankaran Mahadevan, Paul Witherell

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011112.

Paper No: RISK-21-1006

DOI: https://doi.org/10.1115/1.4053181

Published Online: January 6, 2022

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Topics: Artificial neural networks, Design, Manufacturing, Optimization, Pareto optimization, Uncertainty

Journal Articles

Segmentation of Additive Manufacturing Defects Using U-Net

Vivian Wen Hui Wong, Max Ferguson, Kincho H. Law, Yung-Tsun Tina Lee, Paul Witherell

J. Comput. Inf. Sci. Eng. June 2022, 22(3): 031005.

Paper No: JCISE-21-1266

DOI: https://doi.org/10.1115/1.4053078

Published Online: December 10, 2021

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Topics: Additive manufacturing, Artificial neural networks, Image segmentation, Porosity, Computerized tomography, Shapes, Design

Proceedings Papers

Hybrid Modeling of Melt Pool Geometry in Additive Manufacturing Using Neural Networks

Kevontrez Jones, Zhuo Yang, Ho Yeung, Paul Witherell, Yan Lu

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A031, August 17–19, 2021

Paper No: DETC2021-71266

DOI: https://doi.org/10.1115/DETC2021-71266

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Topics: Additive manufacturing, Artificial neural networks, Finite element methods, Geometry, Modeling

Proceedings Papers

In-Situ Observation Selection for Quality Management in Metal Additive Manufacturing

Byeong-Min Roh, Soundar R. T. Kumara, Hui Yang, Timothy W. Simpson, Paul Witherell, Yan Lu

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A069, August 17–19, 2021

Paper No: DETC2021-70035

DOI: https://doi.org/10.1115/DETC2021-70035

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Topics: Additive manufacturing, Metals, Ontologies, Quality management, Sensors

Proceedings Papers

Segmentation of Additive Manufacturing Defects Using U-Net

Vivian Wen Hui Wong, Max Ferguson, Kincho H. Law, Yung-Tsun Tina Lee, Paul Witherell

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A029, August 17–19, 2021

Paper No: DETC2021-68885

DOI: https://doi.org/10.1115/DETC2021-68885

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Topics: Additive manufacturing, Artificial neural networks, Image segmentation

Journal Articles

Scalable Thermal Simulation of Powder Bed Fusion

Yaqi Zhang, Vadim Shapiro, Paul Witherell

J. Manuf. Sci. Eng. May 2022, 144(5): 051009.

Paper No: MANU-20-1612

DOI: https://doi.org/10.1115/1.4052156

Published Online: October 29, 2021

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Topics: Lasers, Simulation, Temperature

Journal Articles

A Scalable Framework for Process-Aware Thermal Simulation of Additive Manufacturing Processes

Yaqi Zhang, Vadim Shapiro, Paul Witherell

J. Comput. Inf. Sci. Eng. February 2022, 22(1): 011012.

Paper No: JCISE-21-1132

DOI: https://doi.org/10.1115/1.4052194

Published Online: October 21, 2021

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Topics: Simulation, Heat, Temperature

Journal Articles

On Characterizing Uncertainty Sources in Laser Powder-Bed Fusion Additive Manufacturing Models

Tesfaye Moges, Kevontrez Jones, Shaw Feng, Paul Witherell, Gaurav Ameta

ASME J. Risk Uncertainty Part B. March 2022, 8(1): 011110.

Paper No: RISK-21-1042

DOI: https://doi.org/10.1115/1.4052039

Published Online: September 24, 2021

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Topics: Lasers, Uncertainty

Journal Articles

Hybrid Modeling Approach for Melt-Pool Prediction in Laser Powder Bed Fusion Additive Manufacturing

Tesfaye Moges, Zhuo Yang, Kevontrez Jones, Shaw Feng, Paul Witherell, Yan Lu

J. Comput. Inf. Sci. Eng. October 2021, 21(5): 050902.

Paper No: JCISE-20-1259

DOI: https://doi.org/10.1115/1.4050044

Published Online: May 12, 2021

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Topics: Lasers, Modeling, Physics, Simulation, Computational fluid dynamics, Errors, Additive manufacturing, Polynomials

Proceedings Papers

A Neighborhood-Based Neural Network for Melt Pool Prediction and Control

Yaqi Zhang, Vadim Shapiro, Paul Witherell

Proc. ASME. IDETC-CIE2020, Volume 9: 40th Computers and Information in Engineering Conference (CIE), V009T09A026, August 17–19, 2020

Paper No: DETC2020-22549

DOI: https://doi.org/10.1115/DETC2020-22549

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Topics: Artificial neural networks, Lasers, Algorithms, Heat, Manufacturing, National Institute of Standards and Technology, Process control, Additive manufacturing, Design, Mechanical properties

Proceedings Papers

Hybrid Modeling Approach for Melt Pool Prediction in Laser Powder Bed Fusion Additive Manufacturing

Tesfaye Moges, Zhuo Yang, Kevontrez Jones, Shaw Feng, Paul Witherell, Yan Lu

Proc. ASME. IDETC-CIE2020, Volume 9: 40th Computers and Information in Engineering Conference (CIE), V009T09A028, August 17–19, 2020

Paper No: DETC2020-22615

DOI: https://doi.org/10.1115/DETC2020-22615

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Topics: Additive manufacturing, Lasers, Modeling

Proceedings Papers

Scalable Thermal Simulation of Powder Bed Fusion

Yaqi Zhang, Vadim Shapiro, Paul Witherell

Proc. ASME. IDETC-CIE2020, Volume 9: 40th Computers and Information in Engineering Conference (CIE), V009T09A014, August 17–19, 2020

Paper No: DETC2020-22628

DOI: https://doi.org/10.1115/DETC2020-22628

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Topics: Simulation, Geometry, Manufacturing, Engineering simulation, Design, Lasers, Additive manufacturing, Heat, Mechanical properties, Simulation results

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Special Section Highlights of CIE 2022

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

STEP-NC Compliant Data Representations for Powder Bed Fusion in Additive Manufacturing

Ontology Network-Based In-Situ Sensor Selection for Quality Management in Metal Additive Manufacturing

STEP-NC Process Planning for Powder Bed Fusion Additive Manufacturing

Functional Requirements of Software Tools for Laser-Based Powder Bed Fusion Additive Manufacturing for Metals

Special Issue: Highlights of CIE 2021

Special Issue: Artificial Intelligence and Engineering Design

Multi-Objective Optimization Under Uncertainty of Part Quality in Fused Filament Fabrication

Segmentation of Additive Manufacturing Defects Using U-Net

Hybrid Modeling of Melt Pool Geometry in Additive Manufacturing Using Neural Networks

In-Situ Observation Selection for Quality Management in Metal Additive Manufacturing

Segmentation of Additive Manufacturing Defects Using U-Net

Scalable Thermal Simulation of Powder Bed Fusion

A Scalable Framework for Process-Aware Thermal Simulation of Additive Manufacturing Processes

On Characterizing Uncertainty Sources in Laser Powder-Bed Fusion Additive Manufacturing Models

Hybrid Modeling Approach for Melt-Pool Prediction in Laser Powder Bed Fusion Additive Manufacturing

A Neighborhood-Based Neural Network for Melt Pool Prediction and Control

Hybrid Modeling Approach for Melt Pool Prediction in Laser Powder Bed Fusion Additive Manufacturing

Scalable Thermal Simulation of Powder Bed Fusion

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