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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
Paper No: IAM2022-93987
DOI: 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
Paper No: MSEC2022-85621
DOI: 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
Paper No: MSEC2022-85443
DOI: 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
Click here to open pdf in another window PDF for Process Mechanics – a Guide for Industry 4.0: Modelling Cutting of Nimonic 90 and Ti-6Al-4V
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
Paper No: MSEC2022-85392
DOI: https://doi.org/10.1115/MSEC2022-85392
View Paper titled, Physics-Informed Machine Learning for Accelerated Testing of Roll-to-Roll Printed Sensors
Click here to open pdf in another window PDF for Physics-Informed Machine Learning for Accelerated Testing of Roll-to-Roll Printed Sensors
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
Paper No: MSEC2022-85159
DOI: https://doi.org/10.1115/MSEC2022-85159
View Paper titled, Physics-Informed Artificial Intelligence for Temperature Prediction in Metal Additive Manufacturing: A Comparative Study
Click here to open pdf in another window PDF for Physics-Informed Artificial Intelligence for Temperature Prediction in Metal Additive Manufacturing: A Comparative Study
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
Paper No: MSEC2021-63507
DOI: 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
Paper No: MSEC2021-63870
DOI: 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

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
Paper No: MSEC2020-8379
DOI: 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
Click here to open pdf in another window PDF for Uncertainty Quantification in Metallic Additive Manufacturing Through Data-Driven Modelling Based on Multi-Scale Multi-Physics Models and Limited Experiment Data
Topics: Additive manufacturing, Calibration, Modeling, Physics, Uncertainty, Uncertainty quantification
Proceedings Papers

Fundamentals in Metal Plasticity: From the Initial Contact to Non-Stationary, Dynamic Chip

Wolfgang Lortz, Radu Pavel
Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T05A006, September 3, 2020
Paper No: MSEC2020-8369
DOI: https://doi.org/10.1115/MSEC2020-8369
View Paper titled, Fundamentals in Metal Plasticity: From the Initial Contact to Non-Stationary, Dynamic Chip
Click here to open pdf in another window PDF for Fundamentals in Metal Plasticity: From the Initial Contact to Non-Stationary, Dynamic Chip
Topics: Friction, Metals, Milling, Plasticity, Temperature, Cutting, Deformation, Carbon composites, Flow (Dynamics), Glass fibers
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
Paper No: MSEC2020-8255
DOI: 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
Paper No: MSEC2020-8371
DOI: 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

An Improvement of Physics Based Compressive Sensing With Domain Decomposition to Monitor Temperature in Fused Filament Fabrication Process

Yanglong Lu, Yan Wang
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T01A032, June 10–14, 2019
Paper No: MSEC2019-2899
DOI: https://doi.org/10.1115/MSEC2019-2899
View Paper titled, An Improvement of Physics Based Compressive Sensing With Domain Decomposition to Monitor Temperature in Fused Filament Fabrication Process
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Topics: Manufacturing, Physics, Temperature
Proceedings Papers

Significance of Workpiece Conductivity on Resistance Spot Welding Process Map

Xin Wu, Jingtao Du, Wayne Cai
Proc. ASME. MSEC2019, Volume 2: Processes; Materials, V002T03A085, June 10–14, 2019
Paper No: MSEC2019-2958
DOI: https://doi.org/10.1115/MSEC2019-2958
View Paper titled, Significance of Workpiece Conductivity on Resistance Spot Welding Process Map
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Topics: Electrical conductivity, Thermal conductivity, Welding, Metals, Copper, Steel, Electrodes, Heat, Melting, Steady state
Proceedings Papers

Multi-Mode Particle Filter for Bearing Remaining Life Prediction

Peng Wang, Ruqiang Yan, Robert X. Gao
Proc. ASME. MSEC2018, Volume 3: Manufacturing Equipment and Systems, V003T02A031, June 18–22, 2018
Paper No: MSEC2018-6638
DOI: https://doi.org/10.1115/MSEC2018-6638
View Paper titled, Multi-Mode Particle Filter for Bearing Remaining Life Prediction
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Topics: Bearings, Filters, Particulate matter, Service life (Equipment), Machinery, Rolling bearings, Vibration, Chain, Failure, Maintenance
Proceedings Papers

Unified Control of Production, Capacity, and Pre-Emptive Maintenance of Fused Filament Fabrication Process

Rakshith Badarinath, Kai-Wen Tien, Vittaldas Prabhu
Proc. ASME. MSEC2018, Volume 3: Manufacturing Equipment and Systems, V003T02A032, June 18–22, 2018
Paper No: MSEC2018-6641
DOI: https://doi.org/10.1115/MSEC2018-6641
View Paper titled, Unified Control of Production, Capacity, and Pre-Emptive Maintenance of Fused Filament Fabrication Process
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Topics: Industrial capacity, Maintenance, Manufacturing, Decision making, Additive manufacturing, Computer simulation, Control algorithms, Control systems, Differential equations, Dynamics (Mechanics)
Proceedings Papers

Smart Manufacturing: State-of-the-Art Review in Context of Conventional and Modern Manufacturing Process Modeling, Monitoring and Control

Parikshit Mehta, Prahalada Rao, Zhenhua (David) Wu, Vukica Jovanović, Olga Wodo, Mathew Kuttolamadom
Proc. ASME. MSEC2018, Volume 3: Manufacturing Equipment and Systems, V003T02A008, June 18–22, 2018
Paper No: MSEC2018-6658
DOI: https://doi.org/10.1115/MSEC2018-6658
View Paper titled, Smart Manufacturing: State-of-the-Art Review in Context of Conventional and Modern Manufacturing Process Modeling, Monitoring and Control
Click here to open pdf in another window PDF for Smart Manufacturing: State-of-the-Art Review in Context of Conventional and Modern Manufacturing Process Modeling, Monitoring and Control
Topics: Manufacturing, Modeling, Cloud computing, Control modeling, Control systems, Cyber-physical systems, Governments, Machine learning, Machining, Manufacturing industry
Proceedings Papers

Numerical Modeling of Thermo-Fluid Flow and Metal Mixing in Laser Keyhole Welding of Dissimilar Metals

Wenda Tan, Wenkang Huang
Proc. ASME. MSEC2018, Volume 2: Materials; Joint MSEC-NAMRC-Manufacturing USA, V002T04A043, June 18–22, 2018
Paper No: MSEC2018-6640
DOI: https://doi.org/10.1115/MSEC2018-6640
View Paper titled, Numerical Modeling of Thermo-Fluid Flow and Metal Mixing in Laser Keyhole Welding of Dissimilar Metals
Click here to open pdf in another window PDF for Numerical Modeling of Thermo-Fluid Flow and Metal Mixing in Laser Keyhole Welding of Dissimilar Metals
Topics: Computer simulation, Flow (Dynamics), Lasers, Metals, Thermofluids, Welding, Diffusion (Physics), Elements, Intermetallic compounds, Physics
Proceedings Papers

Analytical and Numerical Predictions of Machining-Induced Residual Stress in Milling of Inconel 718 Considering Dynamic Recrystallization

Yixuan Feng, Zhipeng Pan, Xiaohong Lu, Steven Y. Liang
Proc. ASME. MSEC2018, Volume 4: Processes, V004T03A023, June 18–22, 2018
Paper No: MSEC2018-6386
DOI: https://doi.org/10.1115/MSEC2018-6386
View Paper titled, Analytical and Numerical Predictions of Machining-Induced Residual Stress in Milling of Inconel 718 Considering Dynamic Recrystallization
Click here to open pdf in another window PDF for Analytical and Numerical Predictions of Machining-Induced Residual Stress in Milling of Inconel 718 Considering Dynamic Recrystallization
Topics: Machining, Milling, Recrystallization, Stress, Flow (Dynamics), Grain size, Computer simulation, Cutting, Physics, Relaxation (Physics)
Proceedings Papers

In-Situ Observations and Pressure Measurements for Autoclave Co-Cure of Honeycomb Core Sandwich Structures

Mark Anders, Daniel Zebrine, Timotei Centea, Steven R. Nutt
Proc. ASME. MSEC2017, Volume 2: Additive Manufacturing; Materials, V002T03A004, June 4–8, 2017
Paper No: MSEC2017-2887
DOI: https://doi.org/10.1115/MSEC2017-2887
View Paper titled, In-Situ Observations and Pressure Measurements for Autoclave Co-Cure of Honeycomb Core Sandwich Structures
Click here to open pdf in another window PDF for In-Situ Observations and Pressure Measurements for Autoclave Co-Cure of Honeycomb Core Sandwich Structures
Topics: Honeycomb structures, Pressure measurement, Sandwich structures, Composite materials, Pressure, Design, Desorption, Evacuations, Glass, Hardening (Curing)
Proceedings Papers

Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear

Dazhong Wu, Connor Jennings, Janis Terpenny, Robert Gao, Soundar Kumara
Proc. ASME. MSEC2017, Volume 3: Manufacturing Equipment and Systems, V003T04A048, June 4–8, 2017
Paper No: MSEC2017-2679
DOI: https://doi.org/10.1115/MSEC2017-2679
View Paper titled, Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear
Click here to open pdf in another window PDF for Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear
Topics: Wear, Artificial neural networks, Manufacturing systems, Artificial intelligence, Algorithms, Failure, Machine learning, Machinery, Maintenance, Manufacturing