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Journal Articles

A Modified Simulated Annealing-Based Method for Hybrid Lattice Support Structure Design in LPBF Additive Manufacturing

Lisha White, Xuan Liang, Guanglu Zhang, Jonathan Cagan, Yongjie Jessica Zhang

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-23-1525

https://doi.org/10.1115/1.4066660

Published Online: September 24, 2024

... manufacturing constraints. 02 11 2023 05 09 2024 12 09 2024 24 09 2024 Email: lnwhite@alumni.cmu.edu Email: XUL31@pitt.edu Email: glzhang@cmu.edu Email: cagan@cmu.edu Email: jessicaz@andrew.cmu.edu Computational Foundations for Additive Manufacturing...

View Article titled, A Modified Simulated Annealing-Based Method for Hybrid Lattice Support Structure Design in LPBF Additive Manufacturing

Topics: Additive manufacturing, Annealing, Design

Journal Articles

A Multi-Sized Unit Cell Method for the Design of LPBF Lattice Support Structures Concerning Complex Geometries

Lisha White, Guanglu Zhang, Junwon Seo, Nicholas Lamprinakos, A.D. Rollett, Jonathan Cagan, Yongjie Jessica Zhang

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1154

https://doi.org/10.1115/1.4066574

Published Online: September 18, 2024

...@alumni.cmu.edu Email: glzhang@cmu.edu Email: cagan@cmu.edu Email: jessicaz@andrew.cmu.edu Email: rollett@andrew.cmu.edu Email: nlamprin@andrew.cmu.edu Email: junwons@andrew.cmu.edu 27 03 2024 26 08 2024 12 09 2024 18 09 2024 Computational Foundations...

View Article titled, A Multi-Sized Unit Cell Method for the Design of LPBF Lattice Support Structures Concerning Complex Geometries

Topics: Additive manufacturing, Design, Heat transfer, Optimization, Annealing, Computational geometry, Computer-aided manufacturing, Heat exchangers, High temperature, Lasers

Journal Articles

A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing

Atharv Deshmankar, Jagat Sesh Challa, Amit Singh, Srinivasa Prakash Regalla

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1227

https://doi.org/10.1115/1.4066575

Published Online: September 18, 2024

... Foundations for Additive Manufacturing Data-Driven engineering Machine Learning for Engineering Applications Accepted Manuscript Not Copyedited Journal of Computing and Information Science in Engineering. Received April 25, 2024; Accepted manuscript posted September 01, 2024. doi:10.1115/1.4066575...

View Article titled, A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing

Topics: Additive manufacturing, Machine learning, Mechanical properties

Journal Articles

Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation

Nicholas Wu, Brendan Whalen, Ji Ma, Prasanna V. Balachandran

Publisher: ASME

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111001.

Paper No: JCISE-23-1151

https://doi.org/10.1115/1.4063727

Published Online: July 22, 2024

... 2023 06 10 2023 22 07 2024 computational foundations for additive manufacturing data-driven engineering engineering informatics machine learning for engineering applications process modeling for engineering applications Additive manufacturing (AM) technologies are a class...

View Article titled, Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation

Topics: Calibration, Lasers, Porosity, Uncertainty, Modeling, Geometry

Includes: Supplementary data

Journal Articles

Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps

Sean Rescsanski, Vihaan Shah, Jiong Tang, Farhad Imani

Publisher: ASME

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111006.

Paper No: JCISE-23-1386

https://doi.org/10.1115/1.4065525

Published Online: July 22, 2024

... 30 07 2023 09 05 2024 09 05 2024 22 07 2024 Graphical Abstract Figure additive manufacturing cooperative robotics process planning in situ sensing quality characterization computational foundations for additive manufacturing data-driven engineering...

View Article titled, Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps

Topics: Additive manufacturing, Flaw detection, Manufacturing, Random-access memory, Robotics, Simulation, Robots

Journal Articles

Accelerating Thermal Simulations in Additive Manufacturing by Training Physics-Informed Neural Networks With Randomly Synthesized Data

Jiangce Chen, Justin Pierce, Glen Williams, Timothy W. Simpson, Nicholas Meisel, Sneha Prabha Narra, Christopher McComb

Publisher: ASME

J. Comput. Inf. Sci. Eng. January 2024, 24(1): 011004.

Paper No: JCISE-23-1058

https://doi.org/10.1115/1.4062852

Published Online: July 20, 2023

... computational foundations for additive manufacturing computer aided manufacturing machine learning for engineering applications Division of Civil, Mechanical and Manufacturing Innovation 10.13039/100000147 CMMI-1825535 Additive manufacturing (AM) processes have demonstrated...

View Article titled, Accelerating Thermal Simulations in Additive Manufacturing by Training Physics-Informed Neural Networks With Randomly Synthesized Data

Topics: Artificial neural networks, Simulation, Physics, Temperature, Additive manufacturing

Journal Articles

A Novel Approach to Line Clipping Against a Rectangular Window

H. Y. Yu, Y. J. He, W. J. Zhang

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2024, 24(2): 021001.

Paper No: JCISE-23-1030

https://doi.org/10.1115/1.4062634

Published Online: July 13, 2023

... 2023 13 07 2023 computational foundations for additive manufacturing computational geometry computer aided design geometric reasoning Based on the above discussion, we designed an algorithm (Algorithm 1 ) that implements the 1D clipping problem on the g -axis as described...

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

Topics: Algorithms

Includes: Supplementary data

Journal Articles

A Particle Finite Element Method for Additive Manufacturing Simulations

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

Publisher: ASME

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

Paper No: JCISE-22-1231

https://doi.org/10.1115/1.4062143

Published Online: March 29, 2023

... simulation α-shape method thermoelasticity model computational foundations for additive manufacturing computer aided manufacturing 12 07 2022 23 02 2023 07 03 2023 29 03 2023 Contributed by Computers and Information Division of ASME for publication in the J ournal of C...

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

Publisher: ASME

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

Paper No: JCISE-22-1159

https://doi.org/10.1115/1.4055316

Published Online: December 9, 2022

... artificial intelligence computational foundations for additive manufacturing data-driven engineering machine learning for engineering applications model-based systems engineering Data-driven approaches such as machine learning (ML) have shown their power in various engineering applications [ 1...

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

Publisher: ASME

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

Paper No: JCISE-22-1143

https://doi.org/10.1115/1.4055853

Published Online: October 27, 2022

.... Government's contributions. 15 04 2022 27 09 2022 27 09 2022 27 10 2022 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

Publisher: ASME

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

Paper No: JCISE-22-1142

https://doi.org/10.1115/1.4055855

Published Online: October 20, 2022

... 09 2022 13 09 2022 20 10 2022 computational foundations for additive manufacturing data-driven engineering engineering informatics manufacturing planning process modeling for engineering applications Additive manufacturing (AM) is a rapidly growing industry...

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

Publisher: ASME

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

Paper No: JCISE-21-1184

https://doi.org/10.1115/1.4054202

Published Online: May 10, 2022

... of metals (PBF-LB/M) [ 5 ]. additive manufacturing data alignment data registration metadata modeling advanced computing infrastructure computational foundations for additive manufacturing engineering informatics information management 25 05 2021 20 03 2022 21 03 2022 10...

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

Publisher: ASME

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

Paper No: JCISE-21-1132

https://doi.org/10.1115/1.4052194

Published Online: October 21, 2021

... 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 The contact graph, G = ( V , E...

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

Publisher: ASME

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

Paper No: JCISE-21-1157

https://doi.org/10.1115/1.4052083

Published Online: October 13, 2021

...: guptask@usc.edu 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 . 10 05 2021 02 08 2021 04 08 2021 13 10 2021 computational foundations for additive manufacturing...

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

Publisher: ASME

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

Paper No: JCISE-20-1270

https://doi.org/10.1115/1.4051342

Published Online: July 13, 2021

... 2020 28 04 2021 06 05 2021 13 07 2021 computational foundations for additive manufacturing data-driven engineering machine learning for engineering applications Additive manufacturing (AM) provides a wide range of new possibilities for design and manufacturing paradigms...

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

Publisher: ASME

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

Paper No: JCISE-20-1156

https://doi.org/10.1115/1.4050984

Published Online: May 14, 2021

... operating condition necessitate the personalization of MFC anode structure not only in terms of the overall shape but also in terms of internal anode structure. computational foundations for additive manufacturing computer aided design data-driven engineering 11 06 2020 16 04 2021...

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

Publisher: ASME

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

Paper No: JCISE-20-1325

https://doi.org/10.1115/1.4050290

Published Online: May 13, 2021

... foundations for additive manufacturing computer aided design computer aided manufacturing Additive manufacturing has enabled the fabrication of objects with highly complicated shapes and structures. Recently, increasing attention has been drawn towards modeling interior structures of 3D models...

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

Publisher: ASME

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

Paper No: JCISE-20-1259

https://doi.org/10.1115/1.4050044

Published Online: May 12, 2021

... additive manufacturing laser powder bed fusion hybrid model melt-pool width gaussian process/kriging data-driven surrogate model computational foundations for additive manufacturing data-driven engineering machine learning for engineering applications physics-based simulations process modeling...

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

Publisher: ASME

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

Paper No: JCISE-20-1239

https://doi.org/10.1115/1.4050377

Published Online: March 25, 2021

... digital twin compressed sensing physics-based compressive sensing PDE constrained optimization computational foundations for additive manufacturing inverse methods for engineering applications process modeling for engineering applications Digital twins (DTs) are the digital replicas...

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

Publisher: ASME

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

Paper No: JCISE-19-1315

https://doi.org/10.1115/1.4047261

Published Online: June 16, 2020

... schedules using the actual volume of the chunk instead of the approximated volume to get a more accurate result. Email: lpoudel@uark.edu Email: zhouw@uark.edu Email: zsha@uark.edu 19 11 2019 01 05 2020 01 05 2020 16 06 2020 computational foundations for additive...

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

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

Journal citation

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Supplemental Material

Manuscript

A Modified Simulated Annealing-Based Method for Hybrid Lattice Support Structure Design in LPBF Additive Manufacturing

A Multi-Sized Unit Cell Method for the Design of LPBF Lattice Support Structures Concerning Complex Geometries

A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing

Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation

Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps

Accelerating Thermal Simulations in Additive Manufacturing by Training Physics-Informed Neural Networks With Randomly Synthesized Data

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

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