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Journal Articles

Adaptive Online Continual Learning for In-Situ Quality Prediction in Manufacturing Processes

Mengfei Chen, Wenbo Sun, Weihong (Grace) Guo

Publisher: ASME

J. Manuf. Sci. Eng.

Paper No: MANU-24-1389

https://doi.org/10.1115/1.4066799

Published Online: October 9, 2024

View Article titled, Adaptive Online Continual Learning for In-Situ Quality Prediction in Manufacturing Processes

Topics: Manufacturing, Acoustic emissions, Convolutional neural networks, Deep learning, Filters, Inspection, Lasers, Manufacturing systems, Metal stamping, Micromachining

Journal Articles

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

David Adeniji, Julius Schoop

Publisher: ASME

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

Paper No: MANU-21-1321

https://doi.org/10.1115/1.4052131

Published Online: September 27, 2021

View Article titled, In-Situ Calibrated Digital Process Twin Models for Resource Efficient Manufacturing

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

Journal Articles

Aesthetics and Gloss of Ground Surfaces: A Review on Measurement and Generation

Barbara Linke, Jayanti Das

Publisher: ASME

J. Manuf. Sci. Eng. June 2016, 138(6): 064501.

Paper No: MANU-15-1481

https://doi.org/10.1115/1.4032587

Published Online: March 9, 2016

View Article titled, Aesthetics and Gloss of Ground Surfaces: A Review on Measurement and Generation

Topics: Computers, Grinding, Manufacturing, Metal surfaces, Metrology, Modeling, Reflection, Surface roughness, Physics, Refraction

Journal Articles

Robust Method of Multiple Variation Sources Identification in Manufacturing Processes For Quality Improvement

Zhiguo Li, Shiyu Zhou

Publisher: ASME

J. Manuf. Sci. Eng. February 2006, 128(1): 326–336.

https://doi.org/10.1115/1.2117447

Published Online: July 21, 2005

View Article titled, Robust Method of Multiple Variation Sources Identification in Manufacturing Processes For Quality Improvement

Topics: Eigenvalues, Manufacturing, Noise (Sound), Uncertainty, Machining, Product quality

Journal Articles

Definition and Application of a Process Flexibility Index

David Kazmer, David Hatch, Liang Zhu, Christoph Roser, Deepak Kapoor

Publisher: ASME

J. Manuf. Sci. Eng. February 2003, 125(1): 164–171.

https://doi.org/10.1115/1.1536174

Published Online: March 4, 2003

View Article titled, Definition and Application of a Process Flexibility Index

Topics: Design, Manufacturing, Product development, Product quality, Probability

Journal Articles

A Data Mining Approach for Generation of Control Signatures

Andrew Kusiak, Professor

Publisher: ASME

J. Manuf. Sci. Eng. November 2002, 124(4): 923–926.

https://doi.org/10.1115/1.1511524

Published Online: October 23, 2002

View Article titled, A Data Mining Approach for Generation of Control Signatures

Topics: Algorithms, Data mining, Metalworking, Set theory, Process control, Manufacturing, Decision making, Product quality

Journal Articles

A Numerical Investigation into Hot Square Die Extrusion of an L-Section Considering the Variation of Die Bearing Length

Y. S. Kang, D. Y. Yang

Publisher: ASME

J. Manuf. Sci. Eng. May 1999, 121(2): 225–231.

https://doi.org/10.1115/1.2831209

Published Online: May 1, 1999

View Article titled, A Numerical Investigation into Hot Square Die Extrusion of an L-Section Considering the Variation of Die Bearing Length

Topics: Bearings, Extruding, Finite element analysis, Metals, Flow (Dynamics), Simulation, Computation, Product quality, Temperature distribution

Journal Articles

An On-Line Monitoring System to Recognize Stitch Defects Through Thread Motion and High Speed Image Analyses

R. N. Cox, K. J. Titus, T. G. Clapp

Publisher: ASME

J. Manuf. Sci. Eng. February 1999, 121(1): 104–108.

https://doi.org/10.1115/1.2830561

Published Online: February 1, 1999

View Article titled, An On-Line Monitoring System to Recognize Stitch Defects Through Thread Motion and High Speed Image Analyses

Topics: Monitoring systems, Thread, Sensors, Signals, Data acquisition systems, Dynamics (Mechanics), Inspection, Product quality, Vibration

Journal Articles

Use of a Quality Loss Function to Select Statistical Tolerances

H. Vasseur, T. R. Kurfess, J. Cagan

Publisher: ASME

J. Manuf. Sci. Eng. August 1997, 119(3): 410–416.

https://doi.org/10.1115/1.2831121

Published Online: August 1, 1997

View Article titled, Use of a Quality Loss Function to Select Statistical Tolerances

Topics: Manufacturing, Product quality, Taguchi methods

Journal Articles

Optimal Design of Process Variables in Multi-Pass Wire Drawing by Genetic Algorithms

S. Roy, S. Ghosh, R. Shivpuri

Publisher: ASME

J. Manuf. Sci. Eng. May 1996, 118(2): 244–251.

https://doi.org/10.1115/1.2831017

Published Online: May 1, 1996

View Article titled, Optimal Design of Process Variables in Multi-Pass Wire Drawing by Genetic Algorithms

Topics: Design, Genetic algorithms, Wire drawing, Deformation, Optimization, Annealing, Product quality, Residual stresses

Journal Articles

A Fuzzy Self-Learning Control Method with Application to Hydroforming Processes

H. J. Park, H. S. Cho

Publisher: ASME

J. Manuf. Sci. Eng. August 1995, 117(3): 297–303.

https://doi.org/10.1115/1.2804334

Published Online: August 1, 1995

View Article titled, A Fuzzy Self-Learning Control Method with Application to Hydroforming Processes

Topics: Algorithms, Control equipment, Design, Pressure, Product quality, Sheet metal, Tracking control, Uncertainty

Journal Articles

Case Studies on Modeling Manufacturing Processes Using Artificial Neural Networks

Hua-Tzu Fan, S. M. Wu

Publisher: ASME

J. Manuf. Sci. Eng. August 1995, 117(3): 412–417.

https://doi.org/10.1115/1.2804348

Published Online: August 1, 1995

View Article titled, Case Studies on Modeling Manufacturing Processes Using Artificial Neural Networks

Topics: Artificial neural networks, Manufacturing, Modeling, Neural network models, Probability, Algorithms, Compression molding, Experimental design, Painting, Particle filtering (numerical methods)

Journal Articles

A Model for Feeder-Extruder Interactions

J. H. Conner, D. I. Bigio

Publisher: ASME

J. Manuf. Sci. Eng. February 1993, 115(1): 118–123.

https://doi.org/10.1115/1.2901625

Published Online: February 1, 1993

View Article titled, A Model for Feeder-Extruder Interactions

Topics: Errors, Extruding, Flow (Dynamics), Fluids, Mass transfer, Product quality, Screws

Journal Articles

A Methodology for Integrated Quality Systems

M. I. Dessouky, S. G. Kapoor, R. E. DeVor

Publisher: ASME

J. Manuf. Sci. Eng. August 1987, 109(3): 241–247.

https://doi.org/10.1115/1.3187125

Published Online: August 1, 1987

View Article titled, A Methodology for Integrated Quality Systems

Topics: Cycles, Design, Materials properties, Modeling, Product quality, Quality control

Journal citation

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Manuscript

Adaptive Online Continual Learning for In-Situ Quality Prediction in Manufacturing Processes

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

Aesthetics and Gloss of Ground Surfaces: A Review on Measurement and Generation

Robust Method of Multiple Variation Sources Identification in Manufacturing Processes For Quality Improvement

Definition and Application of a Process Flexibility Index

A Data Mining Approach for Generation of Control Signatures

A Numerical Investigation into Hot Square Die Extrusion of an L-Section Considering the Variation of Die Bearing Length

An On-Line Monitoring System to Recognize Stitch Defects Through Thread Motion and High Speed Image Analyses

Use of a Quality Loss Function to Select Statistical Tolerances

Optimal Design of Process Variables in Multi-Pass Wire Drawing by Genetic Algorithms

A Fuzzy Self-Learning Control Method with Application to Hydroforming Processes

Case Studies on Modeling Manufacturing Processes Using Artificial Neural Networks

A Model for Feeder-Extruder Interactions

A Methodology for Integrated Quality Systems

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