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Journal Articles

Architecture-Driven Physics-Informed Deep Learning for Temperature Prediction in Laser Powder Bed Fusion Additive Manufacturing With Limited Data

Suyog Ghungrad, Meysam Faegh, Benjamin Gould, Sarah J. Wolff, Azadeh Haghighi

J. Manuf. Sci. Eng. August 2023, 145(8): 081007.

Paper No: MANU-22-1551

DOI: https://doi.org/10.1115/1.4062237

Published Online: April 19, 2023

View Article titled, Architecture-Driven Physics-Informed Deep Learning for Temperature Prediction in Laser Powder Bed Fusion Additive Manufacturing With Limited Data

Topics: Additive manufacturing, Artificial neural networks, Lasers, Machine learning, Physics, Temperature, Testing, Errors, Algorithms

Journal Articles

Manufacturing Science Engineering Conference 2022 Paper Deep Reinforcement Learning-Based Multi-Task Scheduling in Cloud Manufacturing Under Different Task Arrival Modes

Yaoyao Ping, Yongkui Liu, Lin Zhang, Lihui Wang, Xun Xu

J. Manuf. Sci. Eng. August 2023, 145(8): 081003.

Paper No: MANU-23-1040

DOI: https://doi.org/10.1115/1.4062217

Published Online: April 12, 2023

View Article titled, Manufacturing Science Engineering Conference 2022 Paper Deep Reinforcement Learning-Based Multi-Task Scheduling in Cloud Manufacturing Under Different Task Arrival Modes

Topics: Algorithms, Manufacturing, Reinforcement learning

Journal Articles

Multi-agent Reinforcement Learning Method for Disassembly Sequential Task Optimization Based on Human-Robot Collaborative Disassembly in Electric Vehicle Battery Recycling

Jinhua Xiao, Jiaxu Gao, Nabil Anwer, Benoit Eynard

J. Manuf. Sci. Eng.

Paper No: MANU-22-1622

DOI: https://doi.org/10.1115/1.4062235

Published Online: March 29, 2023

View Article titled, Multi-agent Reinforcement Learning Method for Disassembly Sequential Task Optimization Based on Human-Robot Collaborative Disassembly in Electric Vehicle Battery Recycling

Topics: Electric vehicle batteries, Manufacturing, Optimization, Recycling, Reinforcement learning, Robots, Batteries, Human-robot collaboration, Algorithms, Trajectories (Physics)

Journal Articles

Posture Optimization in Robotic Flat-End Milling Based on Sequential Quadratic Programming

Yongxue Chen, Ye Ding

J. Manuf. Sci. Eng. June 2023, 145(6): 061001.

Paper No: MANU-22-1329

DOI: https://doi.org/10.1115/1.4056707

Published Online: February 10, 2023

View Article titled, Posture Optimization in Robotic Flat-End Milling Based on Sequential Quadratic Programming

Topics: Machining, Milling, Optimization, Robotics, Robots, Toolpaths, Quadratic programming, Algorithms, Approximation, Simulation

Journal Articles

Retired Lithium-Ion Battery Pack Disassembly Line Balancing Based on Precedence Graph Using a Hybrid Genetic-Firework Algorithm for Remanufacturing

Liang Cong, Kai Zhou, Weiwei Liu, Ronghua Li

J. Manuf. Sci. Eng. May 2023, 145(5): 051007.

Paper No: MANU-22-1541

DOI: https://doi.org/10.1115/1.4056572

Published Online: January 30, 2023

View Article titled, Retired Lithium-Ion Battery Pack Disassembly Line Balancing Based on Precedence Graph Using a Hybrid Genetic-Firework Algorithm for Remanufacturing

Topics: Algorithms, Fireworks, Lithium-ion batteries, Electric vehicle batteries, Genetic algorithms, Cycles, Safety

Journal Articles

Identification of Tool Life Stages and Redressing Criterion for Polycrystalline Diamond Micro-Grinding Tools Using a Machine Learning Approach

Ashwani Pratap, Karali Patra, Suhas S. Joshi

J. Manuf. Sci. Eng. April 2023, 145(4): 041007.

Paper No: MANU-22-1428

DOI: https://doi.org/10.1115/1.4056490

Published Online: January 19, 2023

View Article titled, Identification of Tool Life Stages and Redressing Criterion for Polycrystalline Diamond Micro-Grinding Tools Using a Machine Learning Approach

Topics: Cutting, Grinding, Machine learning, Support vector machines, Wear, Diamonds, Machining, Algorithms

Journal Articles

Multi-Objective Evolutionary Algorithm With Machine Learning and Local Search for an Energy-Efficient Disassembly Line Balancing Problem in Remanufacturing

Guangdong Tian, Cheng Zhang, Xuesong Zhang, Yixiong Feng, Gang Yuan, Tao Peng, Duc Truong Pham

J. Manuf. Sci. Eng. May 2023, 145(5): 051002.

Paper No: MANU-22-1525

DOI: https://doi.org/10.1115/1.4056573

Published Online: January 19, 2023

View Article titled, Multi-Objective Evolutionary Algorithm With Machine Learning and Local Search for an Energy-Efficient Disassembly Line Balancing Problem in Remanufacturing

Topics: Algorithms, Energy efficiency, Optimization, Optimization algorithms, Energy consumption, Evolutionary algorithms, Machine learning

Journal Articles

Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes

Durant Fullington, Linkan Bian, Wenmeng Tian

J. Manuf. Sci. Eng. May 2023, 145(5): 051004.

Paper No: MANU-22-1369

DOI: https://doi.org/10.1115/1.4056488

Published Online: January 19, 2023

View Article titled, Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes

Topics: Additive manufacturing, Algorithms, Data privacy, Design, Modeling, Printing, Preservation, Metals, Manufacturing, Testing

Journal Articles

A Novel, Image-Based Method for Characterization of the Porosity of Additively Manufactured Bone Scaffolds With Complex Microstructures

Yousef Abdelgaber, Cole Klemstine, Roozbeh (Ross) Salary

J. Manuf. Sci. Eng. April 2023, 145(4): 041008.

Paper No: MANU-22-1309

DOI: https://doi.org/10.1115/1.4056434

Published Online: January 19, 2023

View Article titled, A Novel, Image-Based Method for Characterization of the Porosity of Additively Manufactured Bone Scaffolds With Complex Microstructures

Topics: Additive manufacturing, Algorithms, Bone, Porosity, Manufacturing, Noise (Sound), Geometry, Errors

Journal Articles

Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly

Xinyao Zhang, Kareem Eltouny, Xiao Liang, Sara Behdad

J. Manuf. Sci. Eng. March 2023, 145(3): 031008.

Paper No: MANU-22-1400

DOI: https://doi.org/10.1115/1.4056074

Published Online: December 2, 2022

View Article titled, Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly

Topics: Algorithms, Robotics, Screws, Electronics

Journal Articles

Determination of Optimal Shot Peen Forming Patterns Using the Theory of Non-Euclidean Plates

Vladislav Sushitskii, Wim M. van Rees, Martin Levesque, Frederick P. Gosselin

J. Manuf. Sci. Eng. March 2023, 145(3): 031006.

Paper No: MANU-21-1503

DOI: https://doi.org/10.1115/1.4056072

Published Online: December 2, 2022

View Article titled, Determination of Optimal Shot Peen Forming Patterns Using the Theory of Non-Euclidean Plates

Topics: Algorithms, Inverse problems, Plates (structures), Resolution (Optics), Shapes, Shot peening, Modeling

Journal Articles

A New Evaluation Metric for Demand Response-Driven Real-Time Price Prediction Towards Sustainable Manufacturing

Lingxiang Yun, Lin Li

J. Manuf. Sci. Eng. February 2023, 145(2): 021009.

Paper No: MANU-22-1226

DOI: https://doi.org/10.1115/1.4055604

Published Online: October 19, 2022

View Article titled, A New Evaluation Metric for Demand Response-Driven Real-Time Price Prediction Towards Sustainable Manufacturing

Topics: Algorithms, Artificial neural networks, Manufacturing, Manufacturing systems, Sustainability, Time series, Machinery

Journal Articles

Digital Twin-Driven Sheet Metal Forming: Modeling and Application for Stamping Considering Mold Wear

Lei Gan, Lei Li, Haihong Huang

J. Manuf. Sci. Eng. December 2022, 144(12): 121003.

Paper No: MANU-22-1120

DOI: https://doi.org/10.1115/1.4054902

Published Online: July 27, 2022

View Article titled, Digital Twin-Driven Sheet Metal Forming: Modeling and Application for Stamping Considering Mold Wear

Topics: Friction, Metal stamping, Modeling, Wear, Particle swarm optimization, Digital twin, Algorithms

Journal Articles

An Alternative Approach to Compute Chip Thickness in Milling

Kaidong Chen, He Zhang, Nathan van de Wouw, Emmanuel Detournay

J. Manuf. Sci. Eng. November 2022, 144(11): 111006.

Paper No: MANU-22-1104

DOI: https://doi.org/10.1115/1.4054804

Published Online: July 26, 2022

View Article titled, An Alternative Approach to Compute Chip Thickness in Milling

Topics: Boundary-value problems, Cutting, Milling, Partial differential equations, Vibration, Algorithms, Simulation results, Computation

Journal Articles

Process Capability Indices With Student Mixture Models Applied to Aircraft Engines GD&T

Mathieu Croquelois, Cyprien Ferraris, Mohamed Achibi, François Thiebaut

J. Manuf. Sci. Eng. October 2022, 144(10): 101008.

Paper No: MANU-20-1641

DOI: https://doi.org/10.1115/1.4054601

Published Online: June 22, 2022

View Article titled, Process Capability Indices With Student Mixture Models Applied to Aircraft Engines GD&T

Topics: Aircraft engines, Algorithms, Gaussian distribution, Students

Journal Articles

Knowledge Discovery in Engineering Applications Using Machine Learning Techniques

Christian Kubik, Dirk Alexander Molitor, Marco Becker, Peter Groche

J. Manuf. Sci. Eng. September 2022, 144(9): 091003.

Paper No: MANU-21-1397

DOI: https://doi.org/10.1115/1.4054158

Published Online: April 8, 2022

View Article titled, Knowledge Discovery in Engineering Applications Using Machine Learning Techniques

Topics: Blanking (Metalworking), Chain, Data acquisition, Data mining, Engineering systems and industry applications, Machine learning, Manufacturing, Manufacturing systems, Modeling, Sensors

Journal Articles

A Product-Oriented Synchronization and Effective Information Extraction of Continuous Streaming Data for Relationship Mining in a Hot Rolling Process

Huihui Miao, Andi Wang, Tzyy-Shuh Chang, Jianjun Shi

J. Manuf. Sci. Eng. August 2022, 144(8): 081012.

Paper No: MANU-21-1405

DOI: https://doi.org/10.1115/1.4053860

Published Online: March 25, 2022

View Article titled, A Product-Oriented Synchronization and Effective Information Extraction of Continuous Streaming Data for Relationship Mining in a Hot Rolling Process

Topics: Dimensions, Hot rolling, Manufacturing, Mining, Modeling, Sensors, Synchronization, Torque, Shapes, Algorithms

Journal Articles

An Analytical Corner Rounding Algorithm With G01 Shape Preserving for Five-Axis Computer Numerical Controlled Machining

Xiaolong Yin, Junnan Guan, Mansen Chen, Yuwen Sun

J. Manuf. Sci. Eng. August 2022, 144(8): 081013.

Paper No: MANU-21-1465

DOI: https://doi.org/10.1115/1.4053923

Published Online: March 25, 2022

View Article titled, An Analytical Corner Rounding Algorithm With G01 Shape Preserving for Five-Axis Computer Numerical Controlled Machining

Topics: Algorithms, B-splines, Corners (Structural elements), Errors, Machining, Shapes, Trajectories (Physics), Splines, Synchronization

Journal Articles

Finite Element Analysis Model-Based Cautious Automatic Optimal Shape Control for Fuselage Assembly

Zhen Zhong, Shancong Mou, Jeffrey H. Hunt, Jianjun Shi

J. Manuf. Sci. Eng. August 2022, 144(8): 081009.

Paper No: MANU-21-1289

DOI: https://doi.org/10.1115/1.4053501

Published Online: February 21, 2022

View Article titled, Finite Element Analysis Model-Based Cautious Automatic Optimal Shape Control for Fuselage Assembly

Topics: Actuators, Finite element analysis, Manufacturing, Shapes, Algorithms, Stress, Optimization, Simulation

Journal Articles

Semi-Supervised Learning for Anomaly Classification Using Partially Labeled Subsets

Joseph Cohen, Jun Ni

J. Manuf. Sci. Eng. June 2022, 144(6): 061008.

Paper No: MANU-21-1317

DOI: https://doi.org/10.1115/1.4052761

Published Online: December 3, 2021

View Article titled, Semi-Supervised Learning for Anomaly Classification Using Partially Labeled Subsets

Topics: Algorithms, Computer-aided engineering, Dimensions, Feature extraction, Machine learning, Principal component analysis, Integrated circuit fabrication, Artificial intelligence

Journal citation

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Architecture-Driven Physics-Informed Deep Learning for Temperature Prediction in Laser Powder Bed Fusion Additive Manufacturing With Limited Data

Manufacturing Science Engineering Conference 2022 Paper Deep Reinforcement Learning-Based Multi-Task Scheduling in Cloud Manufacturing Under Different Task Arrival Modes

Multi-agent Reinforcement Learning Method for Disassembly Sequential Task Optimization Based on Human-Robot Collaborative Disassembly in Electric Vehicle Battery Recycling

Posture Optimization in Robotic Flat-End Milling Based on Sequential Quadratic Programming

Retired Lithium-Ion Battery Pack Disassembly Line Balancing Based on Precedence Graph Using a Hybrid Genetic-Firework Algorithm for Remanufacturing

Identification of Tool Life Stages and Redressing Criterion for Polycrystalline Diamond Micro-Grinding Tools Using a Machine Learning Approach

Multi-Objective Evolutionary Algorithm With Machine Learning and Local Search for an Energy-Efficient Disassembly Line Balancing Problem in Remanufacturing

Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes

A Novel, Image-Based Method for Characterization of the Porosity of Additively Manufactured Bone Scaffolds With Complex Microstructures

Automatic Screw Detection and Tool Recommendation System for Robotic Disassembly

Determination of Optimal Shot Peen Forming Patterns Using the Theory of Non-Euclidean Plates

A New Evaluation Metric for Demand Response-Driven Real-Time Price Prediction Towards Sustainable Manufacturing

Digital Twin-Driven Sheet Metal Forming: Modeling and Application for Stamping Considering Mold Wear

An Alternative Approach to Compute Chip Thickness in Milling

Process Capability Indices With Student Mixture Models Applied to Aircraft Engines GD&T

Knowledge Discovery in Engineering Applications Using Machine Learning Techniques

A Product-Oriented Synchronization and Effective Information Extraction of Continuous Streaming Data for Relationship Mining in a Hot Rolling Process

An Analytical Corner Rounding Algorithm With G01 Shape Preserving for Five-Axis Computer Numerical Controlled Machining

Finite Element Analysis Model-Based Cautious Automatic Optimal Shape Control for Fuselage Assembly

Semi-Supervised Learning for Anomaly Classification Using Partially Labeled Subsets

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