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Proceedings Papers

Coupled Eulerian-Lagrangian Thermomechanical Model to Predict Residual Stress During Additive Friction Stir Deposition of Aluminum 6061

Ritin Mathews, Jaydeep Karandikar, Christopher Tyler, Scott Smith, Tony Schmitz
Proc. ASME. MSEC2024, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A058, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-131311
https://doi.org/10.1115/MSEC2024-131311
View Paper titled, Coupled Eulerian-Lagrangian Thermomechanical Model to Predict Residual Stress During Additive Friction Stir Deposition of Aluminum 6061
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Topics: Aluminum, Friction, Stress, Thermomechanics
Journal Articles

Iterative Stress Reconstruction Algorithm to Estimate Three-Dimensional Residual Stress Fields in Manufactured Components

Ritin Mathews, Arif Malik, Jaydeep Karandikar, Christopher Tyler, Scott Smith
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. September 2024, 146(9): 091009.
Paper No: MANU-23-1528
https://doi.org/10.1115/1.4065848
Published Online: July 15, 2024
View Article titled, Iterative Stress Reconstruction Algorithm to Estimate Three-Dimensional Residual Stress Fields in Manufactured Components
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Topics: Stress, Algorithms, Steel, Additive manufacturing
Journal Articles

Process Damping Identification Using Bayesian Learning and Time Domain Simulation

Aaron Cornelius, Jaydeep Karandikar, Chris Tyler, Tony Schmitz
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. August 2024, 146(8): 081002.
Paper No: MANU-23-1431
https://doi.org/10.1115/1.4064832
Published Online: April 24, 2024
View Article titled, Process Damping Identification Using Bayesian Learning and Time Domain Simulation
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Topics: Cutting, Damping, Simulation, Stability, Errors, Machining
Journal Articles

Special Issue: Enhanced Process–Machine Interaction Through Design, Tooling, Automation, and Modeling

Burak Sencer, Ph.D., Tony Schmitz, Ph.D., Jaydeep Karandikar, Ph.D., Chris Tyler, Ph.D.
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Guest Editorial
J. Manuf. Sci. Eng. February 2018, 140(2): 020301.
Paper No: MANU-17-1739
https://doi.org/10.1115/1.4038639
Published Online: December 18, 2017
View Article titled, Special Issue: Enhanced Process–Machine Interaction Through Design, Tooling, Automation, and Modeling
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Topics: Design, Machinery, Modeling, Tooling, Computer-integrated manufacturing, Heat, Joining
Proceedings Papers

Optimal Machining Parameter Selection in Titanium Milling Using a Decision Analytic Framework

Jaydeep Karandikar, Chris Tyler, Ali Abbas, Tony Schmitz
Proc. ASME. MSEC2014, Volume 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing, V001T04A032, June 9–13, 2014
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2014-4023
https://doi.org/10.1115/MSEC2014-4023
View Paper titled, Optimal Machining Parameter Selection in Titanium Milling Using a Decision Analytic Framework
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Topics: Machining, Milling, Titanium, Uncertainty, Stability, Cutting, Experimental design, Failure, Probability, Statistical distributions
Journal Articles

Bayesian Inference for Milling Stability Using a Random Walk Approach

Jaydeep Karandikar, Michael Traverso, Ali Abbas, Tony Schmitz
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. June 2014, 136(3): 031015.
Paper No: MANU-11-1258
https://doi.org/10.1115/1.4027226
Published Online: April 11, 2014
View Article titled, Bayesian Inference for Milling Stability Using a Random Walk Approach
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Topics: Stability, Milling
Proceedings Papers

Remaining Useful Tool Life Predictions Using Bayesian Inference

Jaydeep Karandikar, Tom McLeay, Sam Turner, Tony Schmitz
Proc. ASME. MSEC2013, Volume 2: Systems; Micro and Nano Technologies; Sustainable Manufacturing, V002T02A027, June 10–14, 2013
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2013-1152
https://doi.org/10.1115/MSEC2013-1152
View Paper titled, Remaining Useful Tool Life Predictions Using Bayesian Inference
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Topics: Machining, Milling, Probability, Titanium, Uncertainty, Wear
Journal Articles

Uncertainty in Machining: Workshop Summary and Contributions

Tony L. Schmitz, Jaydeep Karandikar, Nam Ho Kim, Ali Abbas
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. October 2011, 133(5): 051009.
https://doi.org/10.1115/1.4004923
Published Online: October 17, 2011
View Article titled, Uncertainty in Machining: Workshop Summary and Contributions
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Topics: Machining, Manufacturing, Uncertainty, Workshops (Work spaces), Performance
Proceedings Papers

Combining Process Dynamics and Tool Wear in the Milling Super Diagram

Jaydeep Karandikar, Raul Zapata, Tony L. Schmitz
Proc. ASME. MSEC2010, ASME 2010 International Manufacturing Science and Engineering Conference, Volume 1, 323-331, October 12–15, 2010
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2010-34034
https://doi.org/10.1115/MSEC2010-34034
View Paper titled, Combining Process Dynamics and Tool Wear in the Milling Super Diagram
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Topics: Dynamics (Mechanics), Milling, Wear, Errors, Stability, Cutting, Machinery, Microscopes, Safety, Steel
Proceedings Papers

A Sequential Greedy Search Algorithm With Bayesian Updating for Testing in High-Speed Milling Operations

Mike Traverso, Raul Zapata, Jaydeep Karandikar, Tony L. Schmitz, Ali Abbas
Proc. ASME. MSEC2010, ASME 2010 International Manufacturing Science and Engineering Conference, Volume 1, 345-353, October 12–15, 2010
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2010-34048
https://doi.org/10.1115/MSEC2010-34048
View Paper titled, A Sequential Greedy Search Algorithm With Bayesian Updating for Testing in High-Speed Milling Operations
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Topics: Algorithms, Milling, Testing, Stability, Probability, Uncertainty, Dynamic systems, Frequency response, Optimization, Optimization algorithms