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Proceedings Papers

Iterative Uncertainty Calibration for Modeling Metal Additive Manufacturing Processes Using Statistical Moment-Based Metric

M. Rahmani Dehaghani, Yifan Tang, G. Gary Wang
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A029, August 14–17, 2022
Paper No: DETC2022-89511
DOI: https://doi.org/10.1115/DETC2022-89511
View Paper titled, Iterative Uncertainty Calibration for Modeling Metal Additive Manufacturing Processes Using Statistical Moment-Based Metric
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Topics: Additive manufacturing, Calibration, Finite element analysis, Metals, Modeling, Uncertainty
Proceedings Papers

Design Recommendations for Reducing the Environmental Impact of Battery Packs

Felipe Quijano-Ortiz, Carolyn Seepersad
Proc. ASME. IDETC-CIE2022, Volume 5: 27th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A010, August 14–17, 2022
Paper No: DETC2022-89725
DOI: https://doi.org/10.1115/DETC2022-89725
View Paper titled, Design Recommendations for Reducing the Environmental Impact of Battery Packs
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Topics: Batteries, Design, Automobiles, Economics , Electric vehicle batteries, Electric vehicles, Electrification, Energy storage, Engineers, Lithium-ion batteries
Proceedings Papers

Anomaly Detection of Laser Powder Bed Fusion Melt Pool Images Using Combined Unsupervised and Supervised Learning Methods

Matthew M. Sato, Vivian Wen Hui Wong, Kincho H. Law, Ho Yeung, Zhuo Yang, Brandon Lane, Paul Witherell
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A070, August 14–17, 2022
Paper No: DETC2022-88313
DOI: https://doi.org/10.1115/DETC2022-88313
View Paper titled, Anomaly Detection of Laser Powder Bed Fusion Melt Pool Images Using Combined Unsupervised and Supervised Learning Methods
Click here to open pdf in another window PDF for Anomaly Detection of Laser Powder Bed Fusion Melt Pool Images Using Combined Unsupervised and Supervised Learning Methods
Topics: Additive manufacturing, Artificial neural networks, Lasers, Algorithms, Machine learning, Machinery, Manufacturing, Metals, Process control, Shapes
Proceedings Papers

Analyzing Expert Design Cost Estimation for Additive Manufacturing

Glen Williams, Nicholas A. Meisel, Timothy W. Simpson, Christopher McComb
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A032, August 14–17, 2022
Paper No: DETC2022-90260
DOI: https://doi.org/10.1115/DETC2022-90260
View Paper titled, Analyzing Expert Design Cost Estimation for Additive Manufacturing
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Topics: Additive manufacturing, Design, Computer-aided design, Experimental design, Lasers, Manufacturing, Metals, Project cost estimation, Statistics, Tooling
Proceedings Papers

Deep Ensembles for Modeling Uncertain Phase Constraints In Compositionally Graded Alloy Design

Marshall Allen, Raymundo Arroyave, Richard Malak
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A028, August 14–17, 2022
Paper No: DETC2022-89091
DOI: https://doi.org/10.1115/DETC2022-89091
View Paper titled, Deep Ensembles for Modeling Uncertain Phase Constraints In Compositionally Graded Alloy Design
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Topics: Alloys, Design, Modeling, Artificial neural networks, Manufacturing, Metals, Probability, Algorithms, Engineering simulation, Functionally graded materials
Proceedings Papers

Towards a Porosity Aware Stochastic Framework for Computing Apparent Mechanical Properties of Additively Manufactured Parts

Athanasios Iliopoulos, Colin A. Stewart, Andrew J. Birnbaum, John C. Steuben, David J. Rowenhorst, John G. Michopoulos
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A018, August 14–17, 2022
Paper No: DETC2022-90992
DOI: https://doi.org/10.1115/DETC2022-90992
View Paper titled, Towards a Porosity Aware Stochastic Framework for Computing Apparent Mechanical Properties of Additively Manufactured Parts
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Topics: Additive manufacturing, Mechanical properties, Porosity, Finite element model, Stress, Equipment performance, Image processing, Metals, Microscopes, Pressure vessels
Proceedings Papers

Application of Transfer Learning in Metalworking Fluid Distinction

Xiao Wei, Fabian Jochmann, Anna Lena Demmerling, Dirk Söffker
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A003, August 14–17, 2022
Paper No: DETC2022-89452
DOI: https://doi.org/10.1115/DETC2022-89452
View Paper titled, Application of Transfer Learning in Metalworking Fluid Distinction
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Topics: Acoustic emissions, Algorithms, Artificial neural networks, Data mining, Fluids, Metalworking, Signals, Thread, Water, Condition monitoring
Proceedings Papers

A Strategy for Fine Mesh Resolution in Contact Mechanics

Gaurav Chauda, Daniel J. Segalman
Proc. ASME. IDETC-CIE2021, Volume 10: 33rd Conference on Mechanical Vibration and Sound (VIB), V010T10A010, August 17–19, 2021
Paper No: DETC2021-71360
DOI: https://doi.org/10.1115/DETC2021-71360
View Paper titled, A Strategy for Fine Mesh Resolution in Contact Mechanics
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Topics: Contact mechanics, Resolution (Optics), Disks, Brass (Metal), Degrees of freedom, Elasticity, Finite element analysis, Fourier analysis, Linear systems, Metals
Proceedings Papers

Stochastically-Trained Physics-Informed Neural Networks: Application to Thermal Analysis in Metal Laser Powder Bed Fusion

Justin Pierce, Glen Williams, Timothy W. Simpson, Nicholas A. Meisel, Christopher McComb
Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A004, August 17–19, 2021
Paper No: DETC2021-70557
DOI: https://doi.org/10.1115/DETC2021-70557
View Paper titled, Stochastically-Trained Physics-Informed Neural Networks: Application to Thermal Analysis in Metal Laser Powder Bed Fusion
Click here to open pdf in another window PDF for Stochastically-Trained Physics-Informed Neural Networks: Application to Thermal Analysis in Metal Laser Powder Bed Fusion
Topics: Artificial neural networks, Lasers, Metals, Physics, Thermal analysis, Engineering simulation, Machine learning, Manufacturing, Simulation, Transients (Dynamics)
Proceedings Papers

Modeling and Design Exploration of Tensegrity Plate Mechanisms With Energy Dissipation Capabilities Enabled by Shape Memory Alloys

Pedro Silva, Edwin A. Peraza Hernandez
Proc. ASME. IDETC-CIE2021, Volume 8B: 45th Mechanisms and Robotics Conference (MR), V08BT08A019, August 17–19, 2021
Paper No: DETC2021-70025
DOI: https://doi.org/10.1115/DETC2021-70025
View Paper titled, Modeling and Design Exploration of Tensegrity Plate Mechanisms With Energy Dissipation Capabilities Enabled by Shape Memory Alloys
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Topics: Design, Energy dissipation, Modeling, Shape memory alloys, Tensegrity, Plates (structures), String, Stress, Aerospace industry, Compression
Proceedings Papers

In-Process Data Fusion for Process Monitoring and Control of Metal Additive Manufacturing

Zhuo Yang, Yan Lu, Simin Li, Jennifer Li, Yande Ndiaye, Hui Yang, Sundar Krishnamurty
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A072, August 17–19, 2021
Paper No: DETC2021-71813
DOI: https://doi.org/10.1115/DETC2021-71813
View Paper titled, In-Process Data Fusion for Process Monitoring and Control of Metal Additive Manufacturing
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Topics: Additive manufacturing, Data fusion, Metals, Process control, Process monitoring
Proceedings Papers

In-Situ Observation Selection for Quality Management in Metal Additive Manufacturing

Byeong-Min Roh, Soundar R. T. Kumara, Hui Yang, Timothy W. Simpson, Paul Witherell, Yan Lu
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A069, August 17–19, 2021
Paper No: DETC2021-70035
DOI: https://doi.org/10.1115/DETC2021-70035
View Paper titled, In-Situ Observation Selection for Quality Management in Metal Additive Manufacturing
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Topics: Additive manufacturing, Metals, Ontologies, Quality management, Sensors
Proceedings Papers

Using Unsupervised Learning for Regulating Deposition Speed During Robotic Wire Arc Additive Manufacturing

Ashish Kulkarni, Prahar M. Bhatt, Alec Kanyuck, Satyandra K. Gupta
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A045, August 17–19, 2021
Paper No: DETC2021-71865
DOI: https://doi.org/10.1115/DETC2021-71865
View Paper titled, Using Unsupervised Learning for Regulating Deposition Speed During Robotic Wire Arc Additive Manufacturing
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Topics: Additive manufacturing, Robotics, Wire, Corners (Structural elements), Metals, Trains, Dynamics (Mechanics), Electric arcs, Failure, Geometry
Proceedings Papers

A Subspace-Inclusive Sampling Method for the Computational Design of Compositionally Graded Alloys

Marshall Allen, Tanner Kirk, Richard Malak, Raymundo Arroyave
Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A004, August 17–19, 2021
Paper No: DETC2021-68836
DOI: https://doi.org/10.1115/DETC2021-68836
View Paper titled, A Subspace-Inclusive Sampling Method for the Computational Design of Compositionally Graded Alloys
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Topics: Alloys, Design, Sampling methods, Design methodology, Functionally graded materials, Metals, Nickel titanium alloys, Shapes, Stainless steel
Proceedings Papers

SDF-Based Inverse Process Design of Solar Cells Using Molecular Dynamics Simulations

Umar Farooq Ghumman, Anton van Beek, Joydeep Munshi, TeYu Chien, Ganesh Balasubramanian, Wei Chen
Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A005, August 17–19, 2021
Paper No: DETC2021-71595
DOI: https://doi.org/10.1115/DETC2021-71595
View Paper titled, SDF-Based Inverse Process Design of Solar Cells Using Molecular Dynamics Simulations
Click here to open pdf in another window PDF for SDF-Based Inverse Process Design of Solar Cells Using Molecular Dynamics Simulations
Topics: Design, Molecular dynamics simulation, Optimization, Process design, Solar cells, Spectral energy distribution, Annealing, Energy conversion, Metals, Photovoltaic cells
Proceedings Papers

Mechanical Characterization of Metal Additively Manufactured Contact Aided Cellular Compliant Mechanisms

Jivtesh B. Khurana, Mary Frecker
Proc. ASME. IDETC-CIE2021, Volume 8A: 45th Mechanisms and Robotics Conference (MR), V08AT08A023, August 17–19, 2021
Paper No: DETC2021-71756
DOI: https://doi.org/10.1115/DETC2021-71756
View Paper titled, Mechanical Characterization of Metal Additively Manufactured Contact Aided Cellular Compliant Mechanisms
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Topics: Absorption, Additive manufacturing, Compliant mechanisms, Lasers, Metals
Proceedings Papers

Environmental and Economic Assessment of a Portable E-Waste Recycling and Rare Earth Elements Recovery Process

Emmanuel Ohene Opare, Amin Mirkouei
Proc. ASME. IDETC-CIE2021, Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A007, August 17–19, 2021
Paper No: DETC2021-68555
DOI: https://doi.org/10.1115/DETC2021-68555
View Paper titled, Environmental and Economic Assessment of a Portable E-Waste Recycling and Rare Earth Elements Recovery Process
Click here to open pdf in another window PDF for Environmental and Economic Assessment of a Portable E-Waste Recycling and Rare Earth Elements Recovery Process
Topics: Economic analysis, Economics , Life cycle assessment, Recycling, Sustainability, Electronics, Laptop computers, Mining, Biodegradation, Computers
Proceedings Papers

Exploration of Support Structure Design for Additive Manufacturing at a Major OEM: a Case Study

Lucas Morand, Joshua D. Summers, Garrett J. Pataky
Proc. ASME. IDETC-CIE2021, Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A002, August 17–19, 2021
Paper No: DETC2021-69818
DOI: https://doi.org/10.1115/DETC2021-69818
View Paper titled, Exploration of Support Structure Design for Additive Manufacturing at a Major OEM: a Case Study
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Topics: Additive manufacturing, Design, Deformation, Density, Metals, Stress, Geometry, Lasers, Melting, Solid models
Proceedings Papers

Design for Stamping: Part I — Analysis of Part Attributes That Impact Die Construction Costs for Metal Stampings

Corrado Poli, Pratip Dastidar, Prashant Mahajan
Proc. ASME. DETC91, 17th Design Automation Conference: Volume 1 — Design Automation and Design Optimization, 33-41, September 22–25, 1991
Paper No: DETC1991-0067
DOI: https://doi.org/10.1115/DETC1991-0067
View Paper titled, Design for Stamping: Part I — Analysis of Part Attributes That Impact Die Construction Costs for Metal Stampings
Click here to open pdf in another window PDF for Design for Stamping: Part I — Analysis of Part Attributes That Impact Die Construction Costs for Metal Stampings
Topics: Construction, Design, Metal stamping, Metals, Design for Manufacturing, Computers, Manufacturing, Tooling
Proceedings Papers

Contribution to Computer Control and Optimization of Hydro-Abrasive Jet Machining Process

Roberto Groppetti, Giuseppe Comi
Proc. ASME. CIE91, ASME 1991 Computers in Engineering Conference: Volume 2 — Finite Elements/Computational Geometry; Computers in Education; Robotics and Controls, 597-607, August 18–22, 1991
Paper No: CIE1991-0175
DOI: https://doi.org/10.1115/CIE1991-0175
View Paper titled, Contribution to Computer Control and Optimization of Hydro-Abrasive Jet Machining Process
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Topics: Computer control, Machining, Optimization, Control equipment, Pareto optimization, Adaptive control, Ceramics, Economics , Fiber reinforced composites, Metals