1-20 of 154
Testing
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Mitigation of Stress Corrosion Cracking in Additively Manufactured Stainless Steel by Laser Shock Peening

Available to Purchase
Veronica Over, Y. Lawrence Yao
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. March 2025, 147(3): 031002.
Paper No: MANU-24-1202
https://doi.org/10.1115/1.4066034
Published Online: November 18, 2024
View Articletitled, Mitigation of Stress Corrosion Cracking in Additively Manufactured Stainless Steel by Laser Shock Peening
Open the PDF for Mitigation of Stress Corrosion Cracking in Additively Manufactured Stainless Steel by Laser Shock Peening in another window
Topics: Additive manufacturing, Fracture (Materials), Hydrogen embrittlement, Laser hardening, Metals, Stainless steel, Stress, Stress corrosion cracking, Fracture (Process), Dislocations
Journal Articles

Heterogeneous Transfer Learning of Electrohydrodynamic Printing Under Zero-Gravity Toward In-Space Manufacturing

Available to Purchase
Rayne Wolf, Liangkui Jiang, Khawlah Alharbi, Pengyu Zhang, Chao Wang, Hantang Qin
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. December 2024, 146(12): 121002.
Paper No: MANU-24-1229
https://doi.org/10.1115/1.4066097
Published Online: September 19, 2024
View Articletitled, Heterogeneous Transfer Learning of Electrohydrodynamic Printing Under Zero-Gravity Toward In-Space Manufacturing
Open the PDF for Heterogeneous Transfer Learning of Electrohydrodynamic Printing Under Zero-Gravity Toward In-Space Manufacturing in another window
Topics: Electrohydrodynamics, Gravity (Force), Machine learning, Manufacturing, Printing, Flight, Additive manufacturing, Physics, Testing
Journal Articles

A Physics-Based Model-Data-Driven Method for Spindle Health Diagnosis—Part III: Model Training and Fault Detection

Available to Purchase
Chung-Yu Tai, Yusuf Altintas
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. August 2024, 146(8): 081006.
Paper No: MANU-23-1550
https://doi.org/10.1115/1.4065227
Published Online: May 7, 2024
View Articletitled, A Physics-Based Model-Data-Driven Method for Spindle Health Diagnosis—Part III: Model Training and Fault Detection
Open the PDF for A Physics-Based Model-Data-Driven Method for Spindle Health Diagnosis—Part III: Model Training and Fault Detection in another window
Topics: Artificial neural networks, Bearings, Flaw detection, Optimization, Physics, Vibration, Testing, Algorithms, Sensors, Trains
Journal Articles

An Additive Manufacturing Testbed to Evaluate Machine Learning-Based Autonomous Manufacturing

Free
Zhi Zhang, Antony George, Md. Ferdous Alam, Chris Eubel, Chaitanya Krishna Prasad Vallabh, Max Shtein, Kira Barton, David J. Hoelzle
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. March 2024, 146(3): 031008.
Paper No: MANU-23-1313
https://doi.org/10.1115/1.4064321
Published Online: January 12, 2024
View Articletitled, An Additive Manufacturing Testbed to Evaluate Machine Learning-Based Autonomous Manufacturing
Open the PDF for An Additive Manufacturing Testbed to Evaluate Machine Learning-Based Autonomous Manufacturing in another window
Topics: Additive manufacturing, Design, Manufacturing, Spectra (Spectroscopy), Testing, Phononic crystals, Manufacturing systems
Journal Articles

Automated Evaluation and Rating of Product Repairability Using Artificial Intelligence-Based Approaches

Free
Hao-Yu Liao, Behzad Esmaeilian, Sara Behdad
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. February 2024, 146(2): 020901.
Paper No: MANU-23-1413
https://doi.org/10.1115/1.4063561
Published Online: November 1, 2023
View Articletitled, Automated Evaluation and Rating of Product Repairability Using Artificial Intelligence-Based Approaches
Open the PDF for Automated Evaluation and Rating of Product Repairability Using Artificial Intelligence-Based Approaches in another window
Topics: Design, Machine learning, Maintenance, Testing, X-rays, Sustainability, Ablation (Vaporization technology), Durability, Product design
Journal Articles

AUDIT: Function a l Q u alification in A d ditive Manufacturing Via Physical and Dig i tal T wins

Free
Michael Biehler, Reinaldo Mock, Shriyanshu Kode, Maham Mehmood, Palin Bhardwaj, Jianjun Shi
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. February 2024, 146(2): 021001.
Paper No: MANU-23-1400
https://doi.org/10.1115/1.4063655
Published Online: October 31, 2023
View Articletitled, AUDIT: Function a l Q u alification in A d ditive Manufacturing Via Physical and Dig i tal T wins
Open the PDF for AUDIT: Function a l Q u alification in A d ditive Manufacturing Via Physical and Dig i tal T wins in another window
Topics: Additive manufacturing, Digital twin, Finite element analysis, Shapes, Simulation, Testing, Design, Manufacturing, Printing
Journal Articles

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

Free
Suyog Ghungrad, Meysam Faegh, Benjamin Gould, Sarah J. Wolff, Azadeh Haghighi
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. August 2023, 145(8): 081007.
Paper No: MANU-22-1551
https://doi.org/10.1115/1.4062237
Published Online: April 19, 2023
View Articletitled, Architecture-Driven Physics-Informed Deep Learning for Temperature Prediction in Laser Powder Bed Fusion Additive Manufacturing With Limited Data
Open the PDF for Architecture-Driven Physics-Informed Deep Learning for Temperature Prediction in Laser Powder Bed Fusion Additive Manufacturing With Limited Data in another window
Topics: Additive manufacturing, Artificial neural networks, Lasers, Machine learning, Physics, Temperature, Testing, Errors, Algorithms
Journal Articles

A Hybrid Deep Generative Network for Pore Morphology Prediction in Metal Additive Manufacturing

Available to Purchase
Zheren Song, Xinming Wang, Yuanyuan Gao, Junbo Son, Jianguo Wu
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. July 2023, 145(7): 071005.
Paper No: MANU-22-1658
https://doi.org/10.1115/1.4057012
Published Online: March 15, 2023
View Articletitled, A Hybrid Deep Generative Network for Pore Morphology Prediction in Metal Additive Manufacturing
Open the PDF for A Hybrid Deep Generative Network for Pore Morphology Prediction in Metal Additive Manufacturing in another window
Topics: Additive manufacturing, Errors, Metals, Modeling, Porosity, Testing, Encryption, Regression models, Manufacturing, Lasers
Journal Articles

Flaw Detection in Multi-Laser Powder Bed Fusion Using In Situ Coaxial Multi-Spectral Sensing and Deep Learning

Available to Purchase
Amit Surana, Matthew E. Lynch, Abdalla R. Nassar, Greg C. Ojard, Brian A. Fisher, David Corbin, Ryan Overdorff
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. May 2023, 145(5): 051005.
Paper No: MANU-22-1330
https://doi.org/10.1115/1.4056540
Published Online: January 19, 2023
View Articletitled, Flaw Detection in Multi-Laser Powder Bed Fusion Using In Situ Coaxial Multi-Spectral Sensing and Deep Learning
Open the PDF for Flaw Detection in Multi-Laser Powder Bed Fusion Using In Situ Coaxial Multi-Spectral Sensing and Deep Learning in another window
Topics: Flaw detection, Lasers, Sensors, Image segmentation, Resolution (Optics), Semantics, Time series, Testing
Journal Articles

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

Free
Durant Fullington, Linkan Bian, Wenmeng Tian
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. May 2023, 145(5): 051004.
Paper No: MANU-22-1369
https://doi.org/10.1115/1.4056488
Published Online: January 19, 2023
View Articletitled, Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes
Open the PDF for Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes in another window
Topics: Additive manufacturing, Algorithms, Data privacy, Design, Modeling, Printing, Preservation, Metals, Manufacturing, Testing
Journal Articles

Run-Time Cutting Force Estimation Based on Learned Nonlinear Frequency Response Function

Available to Purchase
Jacob Fabro, Gregory W. Vogl, Yongzhi Qu
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. September 2022, 144(9): 091002.
Paper No: MANU-21-1638
https://doi.org/10.1115/1.4054157
Published Online: April 8, 2022
View Articletitled, Run-Time Cutting Force Estimation Based on Learned Nonlinear Frequency Response Function
Open the PDF for Run-Time Cutting Force Estimation Based on Learned Nonlinear Frequency Response Function in another window
Topics: Cutting, Frequency response, Machinery, Testing, Vibration, Machining, Signals
Journal Articles

Experimental Investigation of the Mechanical Clinching Process of Al5052-H32/Polyoxymethylene Hybrid Structure

Available to Purchase
Yawen Ouyang, Chao Chen, Xiaoqiang Ren
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. August 2022, 144(8): 081008.
Paper No: MANU-22-1006
https://doi.org/10.1115/1.4053732
Published Online: February 16, 2022
View Articletitled, Experimental Investigation of the Mechanical Clinching Process of Al5052-H32/Polyoxymethylene Hybrid Structure
Open the PDF for Experimental Investigation of the Mechanical Clinching Process of Al5052-H32/Polyoxymethylene Hybrid Structure in another window
Topics: Absorption, Failure mechanisms, Fracture (Materials), Knudsen number, Shear (Mechanics), Stress, Testing, Fracture (Process), Failure, Joining
Journal Articles

Evaluation of Additive Friction Stir Deposition for the Repair of Cast Al-1.4Si-1.1Cu-1.5Mg-2.1Zn

Free
L. Peter Martin, Allen Luccitti, Mark Walluk
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. June 2022, 144(6): 061006.
Paper No: MANU-21-1193
https://doi.org/10.1115/1.4052759
Published Online: December 3, 2021
View Articletitled, Evaluation of Additive Friction Stir Deposition for the Repair of Cast Al-1.4Si-1.1Cu-1.5Mg-2.1Zn
Open the PDF for Evaluation of Additive Friction Stir Deposition for the Repair of Cast Al-1.4Si-1.1Cu-1.5Mg-2.1Zn in another window
Topics: Alloys, Bonding, Fatigue testing, Fillers (Materials), Friction, Geometry, Maintenance, Microhardness, Stress, Testing
Journal Articles

Sensor Fusion and On-Line Monitoring of Friction Stir Blind Riveting for Lightweight Materials Manufacturing

Free
Zhe Gao, Haris Ali Khan, Jingjing Li, Weihong (Grace) Guo
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. June 2022, 144(6): 061009.
Paper No: MANU-21-1407
https://doi.org/10.1115/1.4052907
Published Online: December 3, 2021
View Articletitled, Sensor Fusion and On-Line Monitoring of Friction Stir Blind Riveting for Lightweight Materials Manufacturing
Open the PDF for Sensor Fusion and On-Line Monitoring of Friction Stir Blind Riveting for Lightweight Materials Manufacturing in another window
Topics: Carbon reinforced plastics, Failure mechanisms, Feature extraction, Feature selection, Friction, Manufacturing, Riveting, Sensors, Signals, Tensors
Journal Articles

Characterization of Flow Curves for Ultra-Thin Steel Sheets With the In-Plane Torsion Test

Available to Purchase
Fabian Stiebert, Heinrich Traphöner, Rickmer Meya, A. Erman Tekkaya
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. March 2022, 144(3): 031011.
Paper No: MANU-21-1320
https://doi.org/10.1115/1.4051919
Published Online: August 20, 2021
View Articletitled, Characterization of Flow Curves for Ultra-Thin Steel Sheets With the In-Plane Torsion Test
Open the PDF for Characterization of Flow Curves for Ultra-Thin Steel Sheets With the In-Plane Torsion Test in another window
Topics: Flow (Dynamics), Testing, Torsion, Adhesives, Torque, Errors, Shear stress
Journal Articles

Increasing Throughput in Fused Deposition Modeling by Modulating Bed Temperature

Free
Kelsey L. Snapp, Aldair E. Gongora, Keith A. Brown
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Technical Briefs
J. Manuf. Sci. Eng. September 2021, 143(9): 094502.
Paper No: MANU-20-1353
https://doi.org/10.1115/1.4050177
Published Online: April 1, 2021
View Articletitled, Increasing Throughput in Fused Deposition Modeling by Modulating Bed Temperature
Open the PDF for Increasing Throughput in Fused Deposition Modeling by Modulating Bed Temperature in another window
Topics: Adhesion, Modeling, Printing, Temperature, Testing, Glass, Additive manufacturing
Journal Articles

Influence of Paint Baking on the Energy Absorption and Failure Mode of Resistance Spot Welds in TRIP1180 Steel

Available to Purchase
D. V. Marshall, D. Bhattacharya, J. G. Speer
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Technical Briefs
J. Manuf. Sci. Eng. September 2021, 143(9): 094501.
Paper No: MANU-20-1711
https://doi.org/10.1115/1.4050462
Published Online: March 29, 2021
View Articletitled, Influence of Paint Baking on the Energy Absorption and Failure Mode of Resistance Spot Welds in TRIP1180 Steel
Open the PDF for Influence of Paint Baking on the Energy Absorption and Failure Mode of Resistance Spot Welds in TRIP1180 Steel in another window
Topics: Absorption, Failure mechanisms, Steel, Tension, Welded joints, Cycles, Welding, Fracture (Materials), Joining, Failure
Includes: Supplementary data
Journal Articles

Assessment of a Novel Position Verification Sensor to Identify and Isolate Robot Workcell Health Degradation

Available to Purchase
Brian A. Weiss, Jared Kaplan
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. April 2021, 143(4): 041008.
Paper No: MANU-20-1323
https://doi.org/10.1115/1.4048446
Published Online: November 10, 2020
View Articletitled, Assessment of a Novel Position Verification Sensor to Identify and Isolate Robot Workcell Health Degradation
Open the PDF for Assessment of a Novel Position Verification Sensor to Identify and Isolate Robot Workcell Health Degradation in another window
Topics: Manufacturing, Robots, Sensors, Testing, National Institute of Standards and Technology
Journal Articles

Finite Element Modeling of Electromagnetic Crimping of Cu-SS Tube-to-Tube Joint Along With Simulation of Destructive Testing for Strength Prediction of the Joint

Available to Purchase
Deepak Kumar, Sachin D. Kore, Arup Nandy
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. April 2021, 143(4): 041004.
Paper No: MANU-20-1120
https://doi.org/10.1115/1.4048431
Published Online: October 27, 2020
View Articletitled, Finite Element Modeling of Electromagnetic Crimping of Cu-SS Tube-to-Tube Joint Along With Simulation of Destructive Testing for Strength Prediction of the Joint
Open the PDF for Finite Element Modeling of Electromagnetic Crimping of Cu-SS Tube-to-Tube Joint Along With Simulation of Destructive Testing for Strength Prediction of the Joint in another window
Topics: Copper, Deformation, Finite element analysis, Modeling, Simulation, Simulation models, Testing, Magnetic fields
Journal Articles

Mechanical and Corrosion Assessment of Friction Self-Piercing Rivet Joint of Carbon Fiber-Reinforced Polymer and Magnesium Alloy AZ31B

Free
Yong Chae Lim, Jian Chen, Jiheon Jun, Donovan N. Leonard, Michael P. Brady, Charles David Warren, Zhili Feng
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. March 2021, 143(3): 031006.
Paper No: MANU-20-1268
https://doi.org/10.1115/1.4048378
Published Online: October 23, 2020
View Articletitled, Mechanical and Corrosion Assessment of Friction Self-Piercing Rivet Joint of Carbon Fiber-Reinforced Polymer and Magnesium Alloy AZ31B
Open the PDF for Mechanical and Corrosion Assessment of Friction Self-Piercing Rivet Joint of Carbon Fiber-Reinforced Polymer and Magnesium Alloy AZ31B in another window
Topics: Carbon reinforced plastics, Corrosion, Rivets, Testing, Steel, Shear (Mechanics), Magnesium alloys, Friction, Tension