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Journal Articles

A Novel Approach to Line Clipping against a Rectangular Window

Haiyan Yu, Yuanjun He, W.J. (Chris) Zhang

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-23-1030

DOI: https://doi.org/10.1115/1.4062634

Published Online: May 30, 2023

... Email: yjhe@sjtu.edu.cn Email: chris.zhang@usask.ca Computational Foundations for Additive Manufacturing Computational Geometry Computer Aided Design Geometric Reasoning Accepted Manuscript Not Copyedited Journal of Computing and Information Science in Engineering. Received January 17...

View Article titled, A Novel Approach to Line Clipping against a Rectangular Window

Topics: Additive manufacturing, Algebra, Algorithms, Computational geometry, Computer-aided design, Computers, Nanomaterials, Pipelines, Robustness, Sensors

Journal Articles

A Particle Finite Element Method for Additive Manufacturing Simulations

Daobo Zhang, J. M. Rodriguez, Xialong Ye, Ralf Müller

J. Comput. Inf. Sci. Eng. October 2023, 23(5): 051008.

Paper No: JCISE-22-1231

DOI: https://doi.org/10.1115/1.4062143

Published Online: March 29, 2023

... cience in E ngineering . 12 07 2022 23 02 2023 07 03 2023 29 03 2023 3D particle finite element method additive manufacturing numerical simulation α-shape method thermoelasticity model computational foundations for additive manufacturing computer aided manufacturing...

View Article titled, A Particle Finite Element Method for Additive Manufacturing Simulations

Topics: Additive manufacturing, Finite element methods, Particulate matter, Simulation, Temperature, Thermoelasticity, Shapes, Stress

Journal Articles

Multifidelity Physics-Constrained Neural Networks With Minimax Architecture

Dehao Liu, Pranav Pusarla, Yan Wang

J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031008.

Paper No: JCISE-22-1159

DOI: https://doi.org/10.1115/1.4055316

Published Online: December 9, 2022

... nformation S cience in E ngineering . 07 05 2022 09 08 2022 10 08 2022 09 12 2022 machine learning physics-constrained neural networks multifidelity metamodeling minimax optimization partial differential equations artificial intelligence computational foundations...

View Article titled, Multifidelity Physics-Constrained Neural Networks With Minimax Architecture

Topics: Artificial neural networks, Heat transfer, Phase transitions, Physics, Machine learning, Temperature, Modeling, Optimization

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

...-processing [ 3 – 5 ]. Engineering Laboratory 10.13039/100007763 70NANB19H127 artificial intelligence big data and analytics computational foundations for additive manufacturing cyber manufacturing data-driven engineering engineering informatics knowledge engineering process...

View Article titled, Ontology Network-Based In-Situ Sensor Selection for Quality Management in Metal Additive Manufacturing

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

..., residual stresses, and pores [ 10 , 11 ]. Therefore, mapping and selecting process parameters are important steps toward regulating thermal distribution, controlling microstructure formation, and maintaining tensile properties of the part during fabrication. computational foundations for additive...

View Article titled, STEP-NC Process Planning for Powder Bed Fusion Additive Manufacturing

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

Journal Articles

Additive Manufacturing In Situ and Ex Situ Geometric Data Registration

Shaw C. Feng, Yan Lu, Albert T. Jones, Zhuo Yang

J. Comput. Inf. Sci. Eng. December 2022, 22(6): 061003.

Paper No: JCISE-21-1184

DOI: https://doi.org/10.1115/1.4054202

Published Online: May 10, 2022

... computing infrastructure computational foundations for additive manufacturing engineering informatics information management 25 05 2021 20 03 2022 21 03 2022 10 05 2022 This work is in part a work of the U.S. Government. ASME disclaims all interest in the U.S. Government’s...

View Article titled, Additive Manufacturing In Situ and Ex Situ Geometric Data Registration

Topics: Additive manufacturing, Lasers, Image registration, Three-dimensional models

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

... . 16 04 2021 08 08 2021 11 08 2021 21 10 2021 advanced computing infrastructure computational foundations for additive manufacturing computer-aided engineering Engineering Laboratory 10.13039/100007763 70NANB19H038 Additive manufacturing (AM) has...

View Article titled, A Scalable Framework for Process-Aware Thermal Simulation of Additive Manufacturing Processes

Topics: Simulation, Heat, Temperature

Journal Articles

Automated Planning for Robotic Multi-Resolution Additive Manufacturing

Prahar M. Bhatt, Ashish Kulkarni, Rishi K. Malhan, Brual C. Shah, Yeo Jung Yoon, Satyandra K. Gupta

J. Comput. Inf. Sci. Eng. April 2022, 22(2): 021006.

Paper No: JCISE-21-1157

DOI: https://doi.org/10.1115/1.4052083

Published Online: October 13, 2021

... 04 08 2021 13 10 2021 computational foundations for additive manufacturing computer-aided manufacturing manufacturing planning National Science Foundation 10.13039/100000001 1925084 American Society of Testing and Materials (ASTM) classifies Additive...

View Article titled, Automated Planning for Robotic Multi-Resolution Additive Manufacturing

Topics: Algorithms, Collisions (Physics), Extruding, Manipulators, Nozzles, Resolution (Optics), Additive manufacturing, Surface quality

Journal Articles

A Recommender System for the Additive Manufacturing of Component Inventories Using Machine Learning

Seyedeh Elaheh Ghiasian, Kemper Lewis

J. Comput. Inf. Sci. Eng. February 2022, 22(1): 011006.

Paper No: JCISE-20-1270

DOI: https://doi.org/10.1115/1.4051342

Published Online: July 13, 2021

.... computational foundations for additive manufacturing data-driven engineering machine learning for engineering applications 05 10 2020 28 04 2021 06 05 2021 13 07 2021 Contributed by the Computers and Information Division of ASME for publication in the J ournal of C omputing...

View Article titled, A Recommender System for the Additive Manufacturing of Component Inventories Using Machine Learning

Topics: Additive manufacturing, Algorithms, Design, Machine learning, Printing, Manufacturing, Databases

Journal Articles

A Cost-Efficient Data-Driven Approach to Design Space Exploration for Personalized Geometric Design in Additive Manufacturing

SungKu Kang, Xinwei Deng, Ran Jin

J. Comput. Inf. Sci. Eng. December 2021, 21(6): 061008.

Paper No: JCISE-20-1156

DOI: https://doi.org/10.1115/1.4050984

Published Online: May 14, 2021

... Contributed by the Computers and Information Division of ASME for publication in the J ournal of C omputing and I nformation S cience in E ngineering . 11 06 2020 16 04 2021 19 04 2021 14 05 2021 computational foundations for additive manufacturing computer aided design...

View Article titled, A Cost-Efficient Data-Driven Approach to Design Space Exploration for Personalized Geometric Design in Additive Manufacturing

Topics: Design

Journal Articles

Memory-Efficient Modeling and Slicing of Large-Scale Adaptive Lattice Structures

Shengjun Liu, Tao Liu, Qiang Zou, Weiming Wang, Eugeni L. Doubrovski, Charlie C. L. Wang

J. Comput. Inf. Sci. Eng. December 2021, 21(6): 061003.

Paper No: JCISE-20-1325

DOI: https://doi.org/10.1115/1.4050290

Published Online: May 13, 2021

...@dlut.edu.cn Email: E.L.Doubrovski@tudelft.nl Emails: charlie.c.l.wang@manchester.ac.uk ; changling.wang@manchester.ac.uk computational foundations for additive manufacturing computer aided design computer aided manufacturing Additive manufacturing has enabled the fabrication of objects...

View Article titled, Memory-Efficient Modeling and Slicing of Large-Scale Adaptive Lattice Structures

Topics: Additive manufacturing, Algorithms, Density, Modeling, Optimization, Struts (Engineering)

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

... disclaims all interest in the U.S. Government's contributions. 30 09 2020 27 01 2021 27 01 2021 12 05 2021 additive manufacturing laser powder bed fusion hybrid model melt-pool width gaussian process/kriging data-driven surrogate model computational foundations...

View Article titled, Hybrid Modeling Approach for Melt-Pool Prediction in Laser Powder Bed Fusion Additive Manufacturing

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

Journal Articles

Physics-Based Compressive Sensing to Enable Digital Twins of Additive Manufacturing Processes

Yanglong Lu, Eduard Shevtshenko, Yan Wang

J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031009.

Paper No: JCISE-20-1239

DOI: https://doi.org/10.1115/1.4050377

Published Online: March 25, 2021

... No. MSEC2019-2899. 10 09 2020 17 02 2021 17 02 2021 25 03 2021 process monitoring digital twin compressed sensing physics-based compressive sensing PDE constrained optimization computational foundations for additive manufacturing inverse methods for engineering applications...

View Article titled, Physics-Based Compressive Sensing to Enable Digital Twins of Additive Manufacturing Processes

Topics: Additive manufacturing, Cooling, Physics, Temperature, Temperature distribution, Errors, Process monitoring, Gears

Journal Articles

A Generative Approach for Scheduling Multi-Robot Cooperative Three-Dimensional Printing

Laxmi Poudel, Wenchao Zhou, Zhenghui Sha

J. Comput. Inf. Sci. Eng. December 2020, 20(6): 061011.

Paper No: JCISE-19-1315

DOI: https://doi.org/10.1115/1.4047261

Published Online: June 16, 2020

... 2020 16 06 2020 computational foundations for additive manufacturing multi-robot scheduling‌ computer-aided manufacturing Fig. 2 SPAR3 strategy illustration SPAR3 strategy illustration While a print schedule based on this simple heuristic with a finite number of robots...

View Article titled, A Generative Approach for Scheduling Multi-Robot Cooperative Three-Dimensional Printing

Topics: Additive manufacturing, Printing, Robots, Collisions (Physics), Vehicles

Journal Articles

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.

Paper No: JCISE-19-1292

DOI: https://doi.org/10.1115/1.4046335

Published Online: April 21, 2020

...@umass.edu The work was authored in part by a U.S. Government employee in the scope of his/her employment. ASME disclaims all interest in the U.S. Government's contribution. 15 10 2019 30 01 2020 30 01 2020 14 02 2020 big data and analytics computational foundations...

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

Topics: Additive manufacturing, Density, Lasers, Modeling

Journal Articles

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.

Paper No: JCISE-19-1294

DOI: https://doi.org/10.1115/1.4046543

Published Online: April 21, 2020

... ( 4 ), pp. 651 – 663 . 10.1007/s11663-997-0039-x selective laser melting nucleation dendritic growth phase field method thermal lattice Boltzmann method computational foundations for additive manufacturing multiphysics modeling and simulation As a powder bed-based additive...

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

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

Journal citation

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Manuscript

A Novel Approach to Line Clipping against a Rectangular Window

A Particle Finite Element Method for Additive Manufacturing Simulations

Multifidelity Physics-Constrained Neural Networks With Minimax Architecture

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

STEP-NC Process Planning for Powder Bed Fusion Additive Manufacturing

Additive Manufacturing In Situ and Ex Situ Geometric Data Registration

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

Automated Planning for Robotic Multi-Resolution Additive Manufacturing

A Recommender System for the Additive Manufacturing of Component Inventories Using Machine Learning

A Cost-Efficient Data-Driven Approach to Design Space Exploration for Personalized Geometric Design in Additive Manufacturing

Memory-Efficient Modeling and Slicing of Large-Scale Adaptive Lattice Structures

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

Physics-Based Compressive Sensing to Enable Digital Twins of Additive Manufacturing Processes

A Generative Approach for Scheduling Multi-Robot Cooperative Three-Dimensional Printing

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

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