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Proceedings Papers

An Industry 4.0 Project With Data Integration – From Part Design to Chip Flow and Physics-Based Machine Learning for AlMg5

Wolfgang Lortz
Proc. ASME. MSEC2024, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality & Reliability, V002T06A035, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-130340
https://doi.org/10.1115/MSEC2024-130340
View Paper titled, An Industry 4.0 Project With Data Integration – From Part Design to Chip Flow and Physics-Based Machine Learning for AlMg5
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Topics: Cutting, Data fusion, Design, Flow (Dynamics), Friction, Machine learning, Physics
Proceedings Papers

Combining Physics-Based Modeling and Artificial Intelligence for the Optimization of Battery Manufacturing Processes

Alejandro A. Franco, Utkarsh Vijay, Soorya Saravanan
Proc. ASME. MSEC2024, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality & Reliability, V002T06A019, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-125136
https://doi.org/10.1115/MSEC2024-125136
View Paper titled, Combining Physics-Based Modeling and Artificial Intelligence for the Optimization of Battery Manufacturing Processes
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Topics: Artificial intelligence, Batteries, Manufacturing, Modeling, Optimization, Physics, Simulation
Proceedings Papers

Physics-Informed Loss Functions With Explainable AI to Predict Emission in Powder Bed Fusion

Ethan Regal, Vidita Gawade, Weihong Guo
Proc. ASME. MSEC2024, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality & Reliability, V002T07A010, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-125898
https://doi.org/10.1115/MSEC2024-125898
View Paper titled, Physics-Informed Loss Functions With Explainable AI to Predict Emission in Powder Bed Fusion
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Topics: Emissions, Physics, Printing, Artificial neural networks, Deep learning, Errors, Metals, Stability, Transparency
Proceedings Papers

Predicting Microstructure Evolution in Laser Powder Bed Fusion Additive Manufacturing Using Physics-Based Machine Learning

Alexander Riensche, Benjamin Bevans, Grant King, Ajay Krishnan, Kevin Cole, Prahalada Rao
Proc. ASME. MSEC2024, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A039, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-125230
https://doi.org/10.1115/MSEC2024-125230
View Paper titled, Predicting Microstructure Evolution in Laser Powder Bed Fusion Additive Manufacturing Using Physics-Based Machine Learning
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Topics: Additive manufacturing, Lasers, Machine learning, Modeling, Physics
Proceedings Papers

In-Process Monitoring of Process Stability in Laser Wire Directed Energy Deposition Using Physics-Based Machine Learning

Benjamin Bevans, Anis Assad, Jakob Hamilton, Prahalada Rao, Iris Rivero
Proc. ASME. MSEC2024, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A011, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-123863
https://doi.org/10.1115/MSEC2024-123863
View Paper titled, In-Process Monitoring of Process Stability in Laser Wire Directed Energy Deposition Using Physics-Based Machine Learning
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Topics: Additive manufacturing, Imaging, Lasers, Machine learning, Physics, Stability, Wire
Proceedings Papers

Brief Paper: Physics-Guided Scan Paths Optimization for Controlled Microstructure in Laser Powder Bed Fusion

Augustine Twumasi, Prokash Chandra Roy, Jin Young Choi, Zhengtao Gan
Proc. ASME. MSEC2024, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A047, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-125361
https://doi.org/10.1115/MSEC2024-125361
View Paper titled, Brief Paper: Physics-Guided Scan Paths Optimization for Controlled Microstructure in Laser Powder Bed Fusion
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Topics: Additive manufacturing, Lasers, Machine learning, Modeling, Optimization, Physics
Proceedings Papers

Effect of Layer Time Control via Physics-Based Model on Layer Temperature in Extrusion-Based Large Format Additive Manufacturing

Eonyeon Jo, Lu Liu, Feng Ju, Nikhil Garg, Soydan Ozcan, Uday Vaidya, Seokpum Kim
Proc. ASME. MSEC2024, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A041, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-125242
https://doi.org/10.1115/MSEC2024-125242
View Paper titled, Effect of Layer Time Control via Physics-Based Model on Layer Temperature in Extrusion-Based Large Format Additive Manufacturing
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Topics: Additive manufacturing, Extruding, Finite element analysis, Physics, Temperature
Proceedings Papers

Application of Digital Twins to Laser Powder Bed Fusion Additive Manufacturing Process Control

Ho Yeung, Felix Kim, Alkan Donmez
Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A032, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-105627
https://doi.org/10.1115/MSEC2023-105627
View Paper titled, Application of Digital Twins to Laser Powder Bed Fusion Additive Manufacturing Process Control
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Topics: Additive manufacturing, Digital twin, Lasers, Process control, Machine learning, Artificial intelligence, Construction, Manufacturing, Optimization, Physics
Proceedings Papers

Physics-Based Feedforward Control of Thermal History in Laser Powder Bed Fusion Additive Manufacturing

Alexander Riensche, Benjamin Bevans, Ziyad Smoqi, Reza Yavari, Ajay Krishnan, Josie Gilligan, Nicholas Piercy, Kevin Cole, Prahalada Rao
Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A010, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-103829
https://doi.org/10.1115/MSEC2023-103829
View Paper titled, Physics-Based Feedforward Control of Thermal History in Laser Powder Bed Fusion Additive Manufacturing
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Topics: Additive manufacturing, Feedforward control, Lasers, Physics, Grain size, Heat, Joining, Materials characterization, Microhardness, Modeling
Proceedings Papers

Physics-Informed Machine Learning Model for In-Process Estimation of Cutter Runout Parameters in End Milling

Shubham Vaishnav, K. A. Desai
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A030, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-105175
https://doi.org/10.1115/MSEC2023-105175
View Paper titled, Physics-Informed Machine Learning Model for In-Process Estimation of Cutter Runout Parameters in End Milling
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Topics: Machine learning, Milling, Physics
Proceedings Papers

Temperature Field Monitoring in Fused Filament Fabrication Process Based on Physics-Constrained Dictionary Learning

Yanglong Lu, Yan Wang
Proc. ASME. IAM2022, 2022 International Additive Manufacturing Conference, V001T03A003, October 19–20, 2022
Publisher: American Society of Mechanical Engineers
Paper No: IAM2022-93987
https://doi.org/10.1115/IAM2022-93987
View Paper titled, Temperature Field Monitoring in Fused Filament Fabrication Process Based on Physics-Constrained Dictionary Learning
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Topics: Manufacturing, Physics, Temperature, Sensors, Additive manufacturing, Compression, Imaging, Process monitoring, Resolution (Optics), Sensor placement
Proceedings Papers

Extracting the In-Process Structural Dynamics Parameters in Micro-Milling Operations

Maryam Hashemitaheri, Rinku Mittal, Harish Cherukuri, Ramesh Singh
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T05A052, June 27–July 1, 2022
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85621
https://doi.org/10.1115/MSEC2022-85621
View Paper titled, Extracting the In-Process Structural Dynamics Parameters in Micro-Milling Operations
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Topics: Micromilling, Structural dynamics, Cutting, Physics, Stability, Machinery, Newton's method, Chatter, Dynamics (Mechanics), Flow (Dynamics)
Proceedings Papers

Process Mechanics – a Guide for Industry 4.0: Modelling Cutting of Nimonic 90 and Ti-6Al-4V

W. Lortz, Radu Pavel
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T05A037, June 27–July 1, 2022
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85443
https://doi.org/10.1115/MSEC2022-85443
View Paper titled, Process Mechanics – a Guide for Industry 4.0: Modelling Cutting of Nimonic 90 and Ti-6Al-4V
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Topics: Cutting, Hardening, Modeling, Temperature, Deformation, Simulation, Stress, Alloys, Artificial intelligence, Computers
Proceedings Papers

Physics-Informed Machine Learning for Accelerated Testing of Roll-to-Roll Printed Sensors

S. Chandra Mouli, Sotoudeh Sedaghat, Muhammed Ramazan Oduncu, Ajanta Saha, Rahim Rahimi, Muhammad A. Alam, Alexander Wei, Ali Shakouri, Bruno Ribeiro
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A015, June 27–July 1, 2022
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85392
https://doi.org/10.1115/MSEC2022-85392
View Paper titled, Physics-Informed Machine Learning for Accelerated Testing of Roll-to-Roll Printed Sensors
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Topics: Machine learning, Physics, Printing, Sensors, Testing
Proceedings Papers

Physics-Informed Artificial Intelligence for Temperature Prediction in Metal Additive Manufacturing: A Comparative Study

Suyog Ghungrad, Benjamin Gould, Sarah Wolff, Azadeh Haghighi
Proc. ASME. MSEC2022, Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing, V001T01A008, June 27–July 1, 2022
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85159
https://doi.org/10.1115/MSEC2022-85159
View Paper titled, Physics-Informed Artificial Intelligence for Temperature Prediction in Metal Additive Manufacturing: A Comparative Study
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Topics: Additive manufacturing, Artificial intelligence, Artificial neural networks, Metals, Physics, Temperature
Proceedings Papers

Framework for User-Friendly Modeling of Energy Use in Fused Deposition Modeling

Xiange Wang, Philip Kent, Barbara S. Linke
Proc. ASME. MSEC2021, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T04A004, June 21–25, 2021
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2021-63507
https://doi.org/10.1115/MSEC2021-63507
View Paper titled, Framework for User-Friendly Modeling of Energy Use in Fused Deposition Modeling
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Topics: Additive manufacturing, Energy consumption, Modeling, Physics
Proceedings Papers

Toward Intelligent Online Scan Sequence Optimization for Uniform Temperature Distribution in LPBF Additive Manufacturing

Keval S. Ramani, Ehsan Malekipour, Chinedum E. Okwudire
Proc. ASME. MSEC2021, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T01A023, June 21–25, 2021
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2021-63870
https://doi.org/10.1115/MSEC2021-63870
View Paper titled, Toward Intelligent Online Scan Sequence Optimization for Uniform Temperature Distribution in LPBF Additive Manufacturing
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Topics: Additive manufacturing, Optimization, Temperature distribution, Lasers, Machinery, Calibration, Deformation, Errors, Metals, Physics
Proceedings Papers

Simulation of Complex Plastic Flows in Machining of Metal Polycrystals Using Remeshing

Vandana A. Salilkumar, Narayan K. Sundaram
Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T05A003, September 3, 2020
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8255
https://doi.org/10.1115/MSEC2020-8255
View Paper titled, Simulation of Complex Plastic Flows in Machining of Metal Polycrystals Using Remeshing
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Topics: Flow (Dynamics), Machining, Metals, Simulation, Cutting, Separation (Technology), Friction, Imaging, Algorithms, Copper
Proceedings Papers

Fundamental Process Mechanics Common to Machining and Grinding Operations

Wolfgang Lortz, Radu Pavel
Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A008, September 3, 2020
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8371
https://doi.org/10.1115/MSEC2020-8371
View Paper titled, Fundamental Process Mechanics Common to Machining and Grinding Operations
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Topics: Friction, Grinding, Machining, Shear stress, Temperature, Deformation, Manufacturing, Metals, Cutting, Equations
Proceedings Papers

Uncertainty Quantification in Metallic Additive Manufacturing Through Data-Driven Modelling Based on Multi-Scale Multi-Physics Models and Limited Experiment Data

Zhuo Wang, Chen Jiang, Mark F. Horstemeyer, Zhen Hu, Lei Chen
Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T01A032, September 3, 2020
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8379
https://doi.org/10.1115/MSEC2020-8379
View Paper titled, Uncertainty Quantification in Metallic Additive Manufacturing Through Data-Driven Modelling Based on Multi-Scale Multi-Physics Models and Limited Experiment Data
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Topics: Additive manufacturing, Calibration, Modeling, Physics, Uncertainty, Uncertainty quantification