Topics: Computer-aided engineering , Computers , Computers and information in engineering , Design engineering , Knowledge management , Mechanical engineers , Modeling , Simulation , Systems engineering , Virtual reality

Research Papers

From Scan Strategy to Melt Pool Prediction: A Neighboring-Effect Modeling Method

Zhuo Yang, Yan Lu, Ho Yeung, Sundar Krishnamurty

J. Comput. Inf. Sci. Eng. October 2020, 20(5): 051001. doi: https://doi.org/10.1115/1.4046335

Abstract

View articletitled, From Scan Strategy to Melt Pool Prediction: A Neighboring-Effect Modeling Method

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Topics: Additive manufacturing , Density , Lasers , Modeling

Multiphysics Simulation of Nucleation and Grain Growth in Selective Laser Melting of Alloys

Dehao Liu, Yan Wang

J. Comput. Inf. Sci. Eng. October 2020, 20(5): 051002. doi: https://doi.org/10.1115/1.4046543

Abstract

View articletitled, Multiphysics Simulation of Nucleation and Grain Growth in Selective Laser Melting of Alloys

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Topics: Alloys , Cooling , Lasers , Latent heat , Lattice Boltzmann methods , Melting , Nucleation (Physics) , Simulation , Temperature , Solidification

An Extended Bayesian Optimization Approach to Decentralized Swarm Robotic Search

Payam Ghassemi, Souma Chowdhury

J. Comput. Inf. Sci. Eng. October 2020, 20(5): 051003. doi: https://doi.org/10.1115/1.4046587

Abstract

View articletitled, An Extended Bayesian Optimization Approach to Decentralized Swarm Robotic Search

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Topics: Algorithms , Optimization , Robots , Signals , Swarm robotics

Extraction and Analysis of Spatial Correlation Micrograph Features for Traceability in Manufacturing

Adam Dachowicz, Mikhail Atallah, Jitesh H. Panchal

J. Comput. Inf. Sci. Eng. October 2020, 20(5): 051004. doi: https://doi.org/10.1115/1.4046891

Abstract

View articletitled, Extraction and Analysis of Spatial Correlation Micrograph Features for Traceability in Manufacturing

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Topics: Damage , String , Feature extraction , Construction , Security , Probability , Manufacturing

Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments

Christian E. López, James Cunningham, Omar Ashour, Conrad S. Tucker

J. Comput. Inf. Sci. Eng. October 2020, 20(5): 051005. doi: https://doi.org/10.1115/1.4046293

Abstract

View articletitled, Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments

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Topics: Algorithms , Reinforcement learning , Simulation , Trains , Virtual reality , Machine learning

Domain Randomization Using Deep Neural Networks for Estimating Positions of Bolts

Ezra Ameperosa, Pranav A. Bhounsule

J. Comput. Inf. Sci. Eng. October 2020, 20(5): 051006. doi: https://doi.org/10.1115/1.4047074

Abstract

View articletitled, Domain Randomization Using Deep Neural Networks for Estimating Positions of Bolts

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Topics: Artificial neural networks , Computers , Texture (Materials)

Evolution of Sliding Contact Wear Between Deformable Conducting Bodies via a Multiphysics Framework

John G. Michopoulos, Athanasios P. Iliopoulos, Nicole A. Apetre, John C. Steuben, Andrew J. Birnbaum

J. Comput. Inf. Sci. Eng. October 2020, 20(5): 051007. doi: https://doi.org/10.1115/1.4047075

Abstract

View articletitled, Evolution of Sliding Contact Wear Between Deformable Conducting Bodies via a Multiphysics Framework

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Topics: Wear , Glass

Reconstruction of Trimmed NURBS Surfaces for Gap-Free Intersections

Benjamin Urick, Richard H. Crawford, Thomas J. R. Hughes, Elaine Cohen, Richard F. Riesenfeld

J. Comput. Inf. Sci. Eng. October 2020, 20(5): 051008. doi: https://doi.org/10.1115/1.4047427

Abstract

View articletitled, Reconstruction of Trimmed NURBS Surfaces for Gap-Free Intersections

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Topics: Algorithms , Computer-aided design , Splines

Automated Generation of Fault Scenarios to Assess Potential Human Errors and Functional Failures in Early Design Stages

Lukman Irshad, H. Onan Demirel, Irem Y. Tumer

J. Comput. Inf. Sci. Eng. October 2020, 20(5): 051009. doi: https://doi.org/10.1115/1.4047557

Abstract

View articletitled, Automated Generation of Fault Scenarios to Assess Potential Human Errors and Functional Failures in Early Design Stages

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Topics: Design , Errors , Failure

Technical Briefs

A Functional Failure Analysis Method of Identifying and Mitigating Spurious System Emissions From a System of Interest in a System of Systems

Douglas L. Van Bossuyt, Ryan M. Arlitt

J. Comput. Inf. Sci. Eng. October 2020, 20(5): 054501. doi: https://doi.org/10.1115/1.4046991

Abstract

View articletitled, A Functional Failure Analysis Method of Identifying and Mitigating Spurious System Emissions From a System of Interest in a System of Systems

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Topics: Emissions , Failure , Flow (Dynamics) , Probability , Silicon-on-insulator , Silicon-on-sapphire , Design , System architecture , Unmanned aerial vehicles , Tradeoffs

Quantitative Assessment of Shoulder Rehabilitation Using Digital Motion Acquisition and Convolutional Neural Network

Andrea Vitali, Federico Maffioletti, Daniele Regazzoni, Caterina Rizzi

J. Comput. Inf. Sci. Eng. October 2020, 20(5): 054502. doi: https://doi.org/10.1115/1.4047772

Abstract

View articletitled, Quantitative Assessment of Shoulder Rehabilitation Using Digital Motion Acquisition and Convolutional Neural Network

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Topics: Artificial intelligence , Artificial neural networks , Biomedicine , Computer software , Sensors , User interfaces , Engines , Motors , Surgery , Software architecture

Erratum

Erratum: “sMF-BO-2CoGP: A Sequential Multi-Fidelity Constrained Bayesian Optimization Framework for Design Applications” [ASME J. Comput. Inf. Sci. Eng., 20(3), p. 0031007; DOI: 10.1115/1.4046691]

Anh Tran, Tim Wildey, Scott McCann, Jennifer Smith

J. Comput. Inf. Sci. Eng. October 2020, 20(5): 057001. doi: https://doi.org/10.1115/1.4047210

Extract

View articletitled, Erratum: “sMF-BO-2CoGP: A Sequential Multi-Fidelity Constrained Bayesian Optimization Framework for Design Applications” [ASME J. Comput. Inf. Sci. Eng., 20(3), p. 0031007; DOI: 10.1115/1.4046691]

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Topics: Design , Optimization

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Special Issue: Highlights of 2019 CIE Conference

Guest Editorial

Special Issue: Highlights of 2019 CIE Conference

Research Papers

From Scan Strategy to Melt Pool Prediction: A Neighboring-Effect Modeling Method

Multiphysics Simulation of Nucleation and Grain Growth in Selective Laser Melting of Alloys

An Extended Bayesian Optimization Approach to Decentralized Swarm Robotic Search

Extraction and Analysis of Spatial Correlation Micrograph Features for Traceability in Manufacturing

Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments

Domain Randomization Using Deep Neural Networks for Estimating Positions of Bolts

Evolution of Sliding Contact Wear Between Deformable Conducting Bodies via a Multiphysics Framework

Reconstruction of Trimmed NURBS Surfaces for Gap-Free Intersections

Automated Generation of Fault Scenarios to Assess Potential Human Errors and Functional Failures in Early Design Stages

Technical Briefs

A Functional Failure Analysis Method of Identifying and Mitigating Spurious System Emissions From a System of Interest in a System of Systems

Quantitative Assessment of Shoulder Rehabilitation Using Digital Motion Acquisition and Convolutional Neural Network

Erratum

Erratum: “sMF-BO-2CoGP: A Sequential Multi-Fidelity Constrained Bayesian Optimization Framework for Design Applications” [ASME J. Comput. Inf. Sci. Eng., 20(3), p. 0031007; DOI: 10.1115/1.4046691]

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