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Journal Articles

Challenges in Geometry Assurance of Megacasting in the Automotive Industry

Kristina Wärmefjord, Josefin Hansen, Rikard Söderberg

J. Comput. Inf. Sci. Eng. December 2023, 23(6): 060801.

Paper No: JCISE-23-1050

DOI: https://doi.org/10.1115/1.4062269

Published Online: April 19, 2023

View Article titled, Challenges in Geometry Assurance of Megacasting in the Automotive Industry

Topics: Geometry, Manufacturing, Simulation, Joining, Automotive industry, Design, Sheet metal

Journal Articles

Special Section: Highlights of CIE 2022

Mahesh Mani, Paul Witherell, Caterina Rizzi

J. Comput. Inf. Sci. Eng. June 2023, 23(3): 030301.

Paper No: JCISE-23-1128

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

Published Online: April 12, 2023

View Article titled, Special Section: Highlights of CIE 2022

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

Journal Articles

Challenges in Geometry Assurance for Composites Manufacturing

Diogo Toyoda, Kristina Wärmefjord, Rikard Söderberg

J. Comput. Inf. Sci. Eng. October 2023, 23(5): 051007.

Paper No: JCISE-22-1241

DOI: https://doi.org/10.1115/1.4057021

Published Online: March 29, 2023

View Article titled, Challenges in Geometry Assurance for Composites Manufacturing

Topics: Composite materials, Geometry, Manufacturing, Simulation, Laminates

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

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

Hybrid Cost-Tolerance Allocation and Production Strategy Selection for Complex Mechanisms: Simulation and Surrogate Built-In Optimization Models

Amirhossein Khezri, Lazhar Homri, Alain Etienne, Jean-Yves Dantan

J. Comput. Inf. Sci. Eng. October 2023, 23(5): 051003.

Paper No: JCISE-22-1264

DOI: https://doi.org/10.1115/1.4056687

Published Online: March 29, 2023

View Article titled, Hybrid Cost-Tolerance Allocation and Production Strategy Selection for Complex Mechanisms: Simulation and Surrogate Built-In Optimization Models

Topics: Manufacturing, Optimization, Simulation, Design, Resource allocation

Journal Articles

Partitioned Active Learning for Heterogeneous Systems

Cheolhei Lee, Kaiwen Wang, Jianguo Wu, Wenjun Cai, Xiaowei Yue

J. Comput. Inf. Sci. Eng. August 2023, 23(4): 041009.

Paper No: JCISE-22-1247

DOI: https://doi.org/10.1115/1.4056567

Published Online: January 10, 2023

View Article titled, Partitioned Active Learning for Heterogeneous Systems

Topics: Algorithms, Design, Simulation, Modeling, Errors, Uncertainty

Journal Articles

Cervical Spine Finite Element Models for Healthy Subjects: Development and Validation

Shadman Tahmid, Brittany M. Love, Ziyang Liang, James Yang

J. Comput. Inf. Sci. Eng. August 2023, 23(4): 044501.

Paper No: JCISE-22-1230

DOI: https://doi.org/10.1115/1.4056296

Published Online: January 9, 2023

View Article titled, Cervical Spine Finite Element Models for Healthy Subjects: Development and Validation

Topics: Cervical spine, Finite element model, Intervertebral discs, Materials properties, Rotation, Finite element analysis, Stress, Pressure, Simulation, Computerized tomography

Includes: Supplementary data

Journal Articles

Physics Informed Synthetic Image Generation for Deep Learning-Based Detection of Wrinkles and Folds

Omey M. Manyar, Junyan Cheng, Reuben Levine, Vihan Krishnan, Jernej Barbič, Satyandra K. Gupta

J. Comput. Inf. Sci. Eng. June 2023, 23(3): 030903.

Paper No: JCISE-22-1284

DOI: https://doi.org/10.1115/1.4056295

Published Online: December 9, 2022

View Article titled, Physics Informed Synthetic Image Generation for Deep Learning-Based Detection of Wrinkles and Folds

Topics: Composite materials, Failure, Flaw detection, Physics, Pipelines, Texture (Materials), Manufacturing, Simulation, Carbon fibers, Image segmentation

Journal Articles

Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction

Luka Malashkhia, Dehao Liu, Yanglong Lu, Yan Wang

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011012.

Paper No: JCISE-22-1123

DOI: https://doi.org/10.1115/1.4055924

Published Online: November 8, 2022

View Article titled, Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction

Topics: Algorithms, Artificial neural networks, Heat transfer, Physics, Simulation, Temperature, Uncertainty, Phase transitions, Finite element methods, Additive manufacturing

Journal Articles

JCISE Editorial Board—Year 2022

J. Comput. Inf. Sci. Eng. December 2022, 22(6): 060201.

Paper No: JCISE-22-1322

DOI: https://doi.org/10.1115/1.4055929

Published Online: October 28, 2022

View Article titled, JCISE Editorial Board—Year 2022

Topics: China, National Institute of Standards and Technology, Manufacturing, Modeling, Simulation, Aeronautics, Air Force, Algorithms, Artificial intelligence, Augmented reality

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

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

Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications

Anh Tran, Kathryn Maupin, Theron Rodgers

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011011.

Paper No: JCISE-22-1017

DOI: https://doi.org/10.1115/1.4055852

Published Online: October 20, 2022

View Article titled, Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications

Topics: Machine learning, Materials science, Physics, Stress, Testing, Crystals, Plasticity, Simulation, Noise (Sound), Finite element analysis

Journal Articles

Characterizations and Optimization for Resilient Manufacturing Systems With Considerations of Process Uncertainties

Qiyang Ma, Yiming Che, Changqing Cheng, Zimo Wang

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011007.

Paper No: JCISE-22-1122

DOI: https://doi.org/10.1115/1.4055425

Published Online: September 27, 2022

View Article titled, Characterizations and Optimization for Resilient Manufacturing Systems With Considerations of Process Uncertainties

Topics: Downtime, Manufacturing systems, Optimization, Production planning, Uncertainty, Simulation, Manufacturing, Machinery, Polynomials, Chaos

Journal Articles

Acceleration of a Physics-Based Machine Learning Approach for Modeling and Quantifying Model-Form Uncertainties and Performing Model Updating

Marie-Jo Azzi, Chady Ghnatios, Philip Avery, Charbel Farhat

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011009.

Paper No: JCISE-22-1149

DOI: https://doi.org/10.1115/1.4055546

Published Online: September 27, 2022

View Article titled, Acceleration of a Physics-Based Machine Learning Approach for Modeling and Quantifying Model-Form Uncertainties and Performing Model Updating

Topics: Approximation, Computer simulation, Construction, Dimensions, Machine learning, Modeling, Nozzles, Physics, Robustness, Simulation

Journal Articles

Generative Inverse Design of Aerodynamic Shapes Using Conditional Invertible Neural Networks

Alok Warey, Vishal Raul, Shailendra Kaushik, Taeyoung Han, Rajan Chakravarty

J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031006.

Paper No: JCISE-22-1055

DOI: https://doi.org/10.1115/1.4054715

Published Online: September 1, 2022

View Article titled, Generative Inverse Design of Aerodynamic Shapes Using Conditional Invertible Neural Networks

Topics: Airfoils, Artificial neural networks, Design, Drag (Fluid dynamics), Shapes, Vehicles, Simulation

Journal Articles

Data-Driven Approaches for Characterization of Aerodynamics on Super High-Speed Elevators

Jingren Xie, Shuai Mao, Zhinan Zhang, Chengliang Liu

J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031004.

Paper No: JCISE-22-1127

DOI: https://doi.org/10.1115/1.4054869

Published Online: August 8, 2022

View Article titled, Data-Driven Approaches for Characterization of Aerodynamics on Super High-Speed Elevators

Topics: Aerodynamics, Elevators, Principal component analysis, Errors, Pressure, Simulation, Interpolation, Computational fluid dynamics

Journal Articles

Machine Learning Based Developing Flow Control Technique Over Circular Cylinders

Ece Ayli, Eyup Kocak, Hasmet Turkoglu

J. Comput. Inf. Sci. Eng. April 2023, 23(2): 021015.

Paper No: JCISE-22-1024

DOI: https://doi.org/10.1115/1.4054689

Published Online: July 21, 2022

View Article titled, Machine Learning Based Developing Flow Control Technique Over Circular Cylinders

Topics: Artificial neural networks, Cylinders, Drag (Fluid dynamics), Flow (Dynamics), Flow control, Machine learning, Suction, Support vector machines, Wakes, Reynolds number

Journal Articles

JCISE Editorial – August 2022

Yan Wang

J. Comput. Inf. Sci. Eng. August 2022, 22(4): 040201.

Paper No: JCISE-22-1198

DOI: https://doi.org/10.1115/1.4054864

Published Online: July 1, 2022

View Article titled, JCISE Editorial – August 2022

Topics: Additive manufacturing, Artificial intelligence, Augmented reality, Casting, China, Cities, Cloud computing, Collaboration, Complex systems, Computation

Journal Articles

Sub-Second Prediction of the Heatmap of Powder-Beds in Additive Manufacturing Using Deep Encoder–Decoder Convolutional Neural Networks

Ardalan R. Sofi, Bahram Ravani

J. Comput. Inf. Sci. Eng. April 2023, 23(2): 021008.

Paper No: JCISE-22-1035

DOI: https://doi.org/10.1115/1.4054559

Published Online: June 7, 2022

View Article titled, Sub-Second Prediction of the Heatmap of Powder-Beds in Additive Manufacturing Using Deep Encoder–Decoder Convolutional Neural Networks

Topics: Artificial neural networks, Lasers, Physics, Simulation, Additive manufacturing, Temperature, Manufacturing, Trajectories (Physics)

Journal Articles

A Framework for Inverse Prediction Using Functional Response Data

Daniel Ries, Adah Zhang, J. Derek Tucker, Kurtis Shuler, Madeline Ausdemore

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011002.

Paper No: JCISE-21-1393

DOI: https://doi.org/10.1115/1.4053752

Published Online: May 20, 2022

View Article titled, A Framework for Inverse Prediction Using Functional Response Data

Topics: Errors, Nuclear forensics, Particulate matter, Scalars, Shapes, Simulation, Uncertainty, Texture (Materials), Modeling, Uncertainty quantification

Journal citation

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Supplemental Material

Challenges in Geometry Assurance of Megacasting in the Automotive Industry

Special Section: Highlights of CIE 2022

Challenges in Geometry Assurance for Composites Manufacturing

A Particle Finite Element Method for Additive Manufacturing Simulations

Hybrid Cost-Tolerance Allocation and Production Strategy Selection for Complex Mechanisms: Simulation and Surrogate Built-In Optimization Models

Partitioned Active Learning for Heterogeneous Systems

Cervical Spine Finite Element Models for Healthy Subjects: Development and Validation

Physics Informed Synthetic Image Generation for Deep Learning-Based Detection of Wrinkles and Folds

Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction

JCISE Editorial Board—Year 2022

STEP-NC Process Planning for Powder Bed Fusion Additive Manufacturing

Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications

Characterizations and Optimization for Resilient Manufacturing Systems With Considerations of Process Uncertainties

Acceleration of a Physics-Based Machine Learning Approach for Modeling and Quantifying Model-Form Uncertainties and Performing Model Updating

Generative Inverse Design of Aerodynamic Shapes Using Conditional Invertible Neural Networks

Data-Driven Approaches for Characterization of Aerodynamics on Super High-Speed Elevators

Machine Learning Based Developing Flow Control Technique Over Circular Cylinders

JCISE Editorial – August 2022

Sub-Second Prediction of the Heatmap of Powder-Beds in Additive Manufacturing Using Deep Encoder–Decoder Convolutional Neural Networks

A Framework for Inverse Prediction Using Functional Response Data

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