Search Results | J. Manuf. Sci. Eng. | ASME Digital Collection

1-20 of 24

Sort by

Sort Order Select

Journal Articles

Understanding the Effects of Process Conditions on Thermal-Defect Relationship: A Transfer Machine Learning Approach

Ayantha Senanayaka, Wenmeng Tian, T.C Falls, Linkan Bian

J. Manuf. Sci. Eng.

Paper No: MANU-22-1225

DOI: https://doi.org/10.1115/1.4057052

Published Online: March 7, 2023

View Article

Topics: Additive manufacturing, Machine learning, Porosity, Algorithms, Data collection, Design for Manufacturing, Knowledge transfer, Manufacturing, Statistical distributions, Support vector machines

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

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

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

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

Journal Articles

Indirect Tool Condition Monitoring Using Ensemble Machine Learning Techniques

Alexandra Schueller, Christopher Saldaña

J. Manuf. Sci. Eng. January 2023, 145(1): 011006.

Paper No: MANU-22-1333

DOI: https://doi.org/10.1115/1.4055822

Published Online: October 13, 2022

View Article

Topics: Condition monitoring, Machine learning, Machining, Wear, Signals, Robustness, Stress

Journal Articles

Activity Recognition With Machine Learning in Manual Grinding

Matthias Dörr, Frederik Spoden, Sven Matthiesen, Thomas Gwosch

J. Manuf. Sci. Eng. September 2022, 144(9): 094504.

Paper No: MANU-22-1097

DOI: https://doi.org/10.1115/1.4054905

Published Online: July 29, 2022

View Article

Topics: Data collection, Grinding, Machine learning, Manufacturing, Sensors, Tool grinders

Journal Articles

On the Fabrication of Defect-Free Nickel-Rich Nickel–Titanium Parts Using Laser Powder Bed Fusion

Chen Zhang, Lei Xue, Kadri C. Atli, Raymundo Arróyave, Ibrahim Karaman, Alaa Elwany

J. Manuf. Sci. Eng. September 2022, 144(9): 091011.

Paper No: MANU-21-1388

DOI: https://doi.org/10.1115/1.4054935

Published Online: July 29, 2022

View Article

Topics: Lasers, Machine learning, Manufacturing, Nickel, Nickel titanium alloys, Titanium, Surface roughness

Journal Articles

Morphological Dynamics-Based Anomaly Detection Towards In Situ Layer-Wise Certification for Directed Energy Deposition Processes

Mahathir Mohammad Bappy, Chenang Liu, Linkan Bian, Wenmeng Tian

J. Manuf. Sci. Eng. November 2022, 144(11): 111007.

Paper No: MANU-22-1117

DOI: https://doi.org/10.1115/1.4054805

Published Online: July 26, 2022

View Article

Topics: Additive manufacturing, Dynamics (Mechanics), Heat, Machine learning, Manufacturing, Temperature, Thin wall structures, Inspection, Modeling, Process monitoring

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

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

Journal Articles

Machine Learning for Diagnosis of Event Synchronization Faults in Discrete Manufacturing Systems

Joseph Cohen, Baoyang Jiang, Jun Ni

J. Manuf. Sci. Eng. July 2022, 144(7): 071006.

Paper No: MANU-21-1315

DOI: https://doi.org/10.1115/1.4052762

Published Online: December 8, 2021

View Article

Topics: Fault diagnosis, Machine learning, Signals, Synchronization, Failure, Manufacturing systems, Programmable controllers, Delays

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

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

Journal Articles

In-Situ Calibrated Digital Process Twin Models for Resource Efficient Manufacturing

David Adeniji, Julius Schoop

J. Manuf. Sci. Eng. April 2022, 144(4): 041008.

Paper No: MANU-21-1321

DOI: https://doi.org/10.1115/1.4052131

Published Online: September 27, 2021

View Article

Topics: Machining, Manufacturing, Titanium aluminide, Modeling, Physics, Pressure, Product quality, Energy efficiency, Aerospace industry, Turbine blades

Journal Articles

A Study on Using Image-Based Machine Learning Methods to Develop Surrogate Models of Stamp Forming Simulations

Haosu Zhou, Qingfeng Xu, Zhenguo Nie, Nan Li

J. Manuf. Sci. Eng. February 2022, 144(2): 021012.

Paper No: MANU-21-1029

DOI: https://doi.org/10.1115/1.4051604

Published Online: August 6, 2021

View Article

Topics: Design, Engineering simulation, Finite element analysis, Machine learning, Multilayer perceptron, Scalars, Simulation, Interpolation, Metalworking, Simulation results

Journal Articles

Improving Production Performance Through Multi-Plant Cross Learning

Jing Huang, Qing Chang, Yu Qian, Jorge Arinez, Guoxian Xiao

J. Manuf. Sci. Eng. January 2022, 144(1): 014501.

Paper No: MANU-19-1700

DOI: https://doi.org/10.1115/1.4050543

Published Online: July 6, 2021

View Article

Topics: Machine learning, Machinery, Assembly lines

Journal Articles

Toward Sub-Surface Pore Prediction Capabilities for Laser Powder Bed Fusion Using Data Science

Deniz Sera Ertay, Shima Kamyab, Mihaela Vlasea, Zohreh Azimifar, Thanh Ma, Allan D. Rogalsky, Paul Fieguth

J. Manuf. Sci. Eng. July 2021, 143(7): 071016.

Paper No: MANU-21-1016

DOI: https://doi.org/10.1115/1.4050461

Published Online: March 26, 2021

View Article

Topics: Algorithms, Artificial neural networks, Computerized tomography, Lasers, Machine learning, Additive manufacturing, Porosity

Journal Articles

Tool Life Stage Prediction in Micro-Milling From Force Signal Analysis Using Machine Learning Methods

Alwin Varghese, Vinay Kulkarni, Suhas S. Joshi

J. Manuf. Sci. Eng. May 2021, 143(5): 054501.

Paper No: MANU-20-1137

DOI: https://doi.org/10.1115/1.4048636

Published Online: November 11, 2020

View Article

Topics: Condition monitoring, Cutting, Machine learning, Machining, Micromilling, Model development, Signals, Wear

Journal Articles

Mitigating Scattering Effects in Light-Based Three-Dimensional Printing Using Machine Learning

Shangting You, Jiaao Guan, Jeffrey Alido, Henry H. Hwang, Ronald Yu, Leilani Kwe, Hao Su, Shaochen Chen

J. Manuf. Sci. Eng. August 2020, 142(8): 081002.

Paper No: MANU-19-1644

DOI: https://doi.org/10.1115/1.4046986

Published Online: May 14, 2020

View Article

Topics: Additive manufacturing, Artificial neural networks, Electromagnetic scattering, Printing, Machine learning, Manufacturing, Radiation scattering, Scattering (Physics), Resolution (Optics)

Journal Articles

Acoustic Emission Characterization of Natural Fiber Reinforced Plastic Composite Machining Using a Random Forest Machine Learning Model

Zimo Wang, Faissal Chegdani, Neehar Yalamarti, Behrouz Takabi, Bruce Tai, Mohamed El Mansori, Satish Bukkapatnam

J. Manuf. Sci. Eng. March 2020, 142(3): 031003.

Paper No: MANU-19-1219

DOI: https://doi.org/10.1115/1.4045945

Published Online: January 31, 2020

View Article

Topics: Acoustic emissions, Composite materials, Cutting, Fibers, Fracture (Materials), Machining, Signals, Fracture (Process), Sensors, Fiber reinforced plastics

Includes: Supplementary data

Journal Articles

Focus Variation Measurement and Prediction of Surface Texture Parameters Using Machine Learning in Laser Powder Bed Fusion

Tuğrul Özel, Ayça Altay, Bilgin Kaftanoğlu, Richard Leach, Nicola Senin, Alkan Donmez

J. Manuf. Sci. Eng. January 2020, 142(1): 011008.

Paper No: MANU-19-1085

DOI: https://doi.org/10.1115/1.4045415

Published Online: November 22, 2019

View Article

Topics: Artificial neural networks, Density, Lasers, Machine learning, Surface texture, Computer programming, Rotation

Journal Articles

A Framework for the Capture and Analysis of Product Usage Data for Continuous Product Improvement

Henning Voet, Max Altenhof, Max Ellerich, Robert H. Schmitt, Barbara Linke

J. Manuf. Sci. Eng. February 2019, 141(2): 021010.

Paper No: MANU-18-1278

DOI: https://doi.org/10.1115/1.4041948

Published Online: December 24, 2018

View Article

Topics: Classification, Design, Sensors, Product development, Data collection, Grinding, Machine learning, Measurement systems, Internet of things

Journal Articles

Cloud-Based Parallel Machine Learning for Tool Wear Prediction

Dazhong Wu, Connor Jennings, Janis Terpenny, Soundar Kumara, Robert X. Gao

J. Manuf. Sci. Eng. April 2018, 140(4): 041005.

Paper No: MANU-17-1344

DOI: https://doi.org/10.1115/1.4038002

Published Online: February 12, 2018

View Article

Topics: Algorithms, Machine learning, Wear, Manufacturing, Milling, Cloud computing, Cutting, Sensors, Vibration

Journal citation

NARROW

Supplemental Material

Manuscript

Understanding the Effects of Process Conditions on Thermal-Defect Relationship: A Transfer Machine Learning Approach

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

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

Indirect Tool Condition Monitoring Using Ensemble Machine Learning Techniques

Activity Recognition With Machine Learning in Manual Grinding

On the Fabrication of Defect-Free Nickel-Rich Nickel–Titanium Parts Using Laser Powder Bed Fusion

Morphological Dynamics-Based Anomaly Detection Towards In Situ Layer-Wise Certification for Directed Energy Deposition Processes

Knowledge Discovery in Engineering Applications Using Machine Learning Techniques

Machine Learning for Diagnosis of Event Synchronization Faults in Discrete Manufacturing Systems

Semi-Supervised Learning for Anomaly Classification Using Partially Labeled Subsets

In-Situ Calibrated Digital Process Twin Models for Resource Efficient Manufacturing

A Study on Using Image-Based Machine Learning Methods to Develop Surrogate Models of Stamp Forming Simulations

Improving Production Performance Through Multi-Plant Cross Learning

Toward Sub-Surface Pore Prediction Capabilities for Laser Powder Bed Fusion Using Data Science

Tool Life Stage Prediction in Micro-Milling From Force Signal Analysis Using Machine Learning Methods

Mitigating Scattering Effects in Light-Based Three-Dimensional Printing Using Machine Learning

Acoustic Emission Characterization of Natural Fiber Reinforced Plastic Composite Machining Using a Random Forest Machine Learning Model

Focus Variation Measurement and Prediction of Surface Texture Parameters Using Machine Learning in Laser Powder Bed Fusion

A Framework for the Capture and Analysis of Product Usage Data for Continuous Product Improvement

Cloud-Based Parallel Machine Learning for Tool Wear Prediction

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only