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Proceedings Papers

Advantages of Additive Manufacturing Technology in Damping Improvement of Turbine Blading

Grzegorz Moneta, Michal Fedasz, Michal Szmidt, Slawomir Cieslak, Wieslaw Krzymien

Proc. ASME. IAM2022, 2022 International Additive Manufacturing Conference, V001T03A005, October 19–20, 2022

Paper No: IAM2022-96752

DOI: https://doi.org/10.1115/IAM2022-96752

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Topics: Additive manufacturing, Blades, Damping, Design, Gas turbines, Lasers, Optimization, Turbines, Vibration

Proceedings Papers

Process Optimization for Hydrothermal-Assisted Jet Fusion Additive Manufacturing of Ceramics

Fan Fei, Levi Kirby, Xuan Song

Proc. ASME. MSEC2022, Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing, V001T01A037, June 27–July 1, 2022

Paper No: MSEC2022-85772

DOI: https://doi.org/10.1115/MSEC2022-85772

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Topics: Additive manufacturing, Binders (Materials), Ceramics, Inks, Optimization

Proceedings Papers

Tiling of Cellular Structures Into 3D Parts According to the Density Values of SIMP Topology Optimization

Damla Ozkapici Helvaci, Ulas Yaman

Paper No: MSEC2022-85307

DOI: https://doi.org/10.1115/MSEC2022-85307

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Topics: Density, Optimization, Topology

Proceedings Papers

A Comparative Study on the Effects of an Advanced Scan Pattern and Intelligent Scan Sequence on Thermal Distribution, Part Deformation, and Printing Time in PBF Additive Manufacturing

Chuan He, Yueh-Lin Tsai, Chinedum E. Okwudire

Paper No: MSEC2022-85301

DOI: https://doi.org/10.1115/MSEC2022-85301

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Topics: Additive manufacturing, Deformation, Optimization, Printing

Proceedings Papers

Optimization-Based Disassembly Sequence Planning Under Uncertainty for Human-Robot Collaboration

Hao-yu Liao, Yuhao Chen, Boyi Hu, Sara Behdad

Paper No: MSEC2022-85383

DOI: https://doi.org/10.1115/MSEC2022-85383

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Topics: Human-robot collaboration, Optimization, Uncertainty

Proceedings Papers

Finding Robust Pareto-Optimal Solutions Over Time for Dynamic Disassembly Sequence Planning

Xin Zhang, Yilin Fang, Quan Liu

Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A012, June 27–July 1, 2022

Paper No: MSEC2022-85358

DOI: https://doi.org/10.1115/MSEC2022-85358

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Topics: Algorithms, Optimization, Pareto optimization, Uncertainty

Proceedings Papers

Real-Time Structured Light Scanning Characterization of Surface Topography of Direct Energy Deposited 316L Stainless Steel

Weijun Shen, Xing Zhang, Yiliang Liao, Beiwen Li

Paper No: MSEC2022-85783

DOI: https://doi.org/10.1115/MSEC2022-85783

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Topics: Stainless steel, Surface topography, Additive manufacturing, Lasers, Design, Durability, Inspection, Metrology, Optimization, Printing

Proceedings Papers

Characterizing the Conductivity of Aerosol Jet Printed Silver Traces on Glass Using Intense Pulsed Light (IPL)

Connor Ferris, Dilan Ratnayake, Alex Curry, Danming Wei, Erin Gerber, Thad Druffel, Kevin Walsh

Paper No: MSEC2022-85649

DOI: https://doi.org/10.1115/MSEC2022-85649

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Topics: Aerosols, Electrical conductivity, Glass, Silver, Thermal conductivity, Hardening (Curing), Inks, Ovens, Printing, Energy levels (Quantum mechanics)

Proceedings Papers

Solving the Open Route Capacitated Periodic Vehicle Routing Problem With Time Windows to Service Microgrids Powered by Uncertain Renewable Generation

Waleed Shawky, Ahmed Azab, Sally Kassem

Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A001, June 27–July 1, 2022

Paper No: MSEC2022-81991

DOI: https://doi.org/10.1115/MSEC2022-81991

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Topics: Energy storage, Microgrids, Optimization, Vehicles, Supply chains, Analytical methods, Computer software, Logistics, Modeling

Proceedings Papers

Individual-Based Transfer Learning for Dynamic Human-Robot Collaborative Disassembly Line Balancing

Yilin Fang, Xiao Zhang

Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A013, June 27–July 1, 2022

Paper No: MSEC2022-85362

DOI: https://doi.org/10.1115/MSEC2022-85362

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Topics: Optimization, Robots, Algorithms, Product quality, Uncertainty, Human-robot collaboration, Optimization algorithms

Proceedings Papers

Sequential Robust Parameter Design With Sample Size Selection

Jaesung Lee, Shiyu Zhou, Junhong Chen

Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A024, June 27–July 1, 2022

Paper No: MSEC2022-85690

DOI: https://doi.org/10.1115/MSEC2022-85690

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Topics: Design, Optimization, Engineering systems and industry applications, Uncertainty, Data collection, Graphene, Nanosensors, Transistors

Proceedings Papers

Curating Datasets of Flexible Assemblies to Predict Spring-Back Behavior for Machine Learning Purposes

Alex Adrian, Satchit Ramnath, Sai Chandu Sunkara, Yannis Korkolis, Joseph K. Davidson, Jami J. Shah

Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T06A025, June 27–July 1, 2022

Paper No: MSEC2022-85718

DOI: https://doi.org/10.1115/MSEC2022-85718

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Topics: Finite element analysis, Joining, Machine learning, Metal stamping, Sheet metal, Springs, Workflow, Simulation, Manufacturing, Design

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

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Topics: Additive manufacturing, Optimization, Temperature distribution, Lasers, Machinery, Calibration, Deformation, Errors, Metals, Physics

Proceedings Papers

Optimization of Ultra-High Aspect Ratio Nanostructures Fabricated Using Glancing Angle Deposition

Chuang Qu, Bruce Alphenaar, Shamus McNamara, Kevin Walsh

Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T08A001, June 21–25, 2021

Paper No: MSEC2021-59847

DOI: https://doi.org/10.1115/MSEC2021-59847

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Topics: Nanostructures , Optimization, Columns (Structural), Design, Shades and shadows, Surface properties, Vapors

Proceedings Papers

Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification

Hao Wang, Yassine Qamsane, James Moyne, Kira Barton

Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T09A006, June 21–25, 2021

Paper No: MSEC2021-63661

DOI: https://doi.org/10.1115/MSEC2021-63661

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Topics: Artificial neural networks, Machine components, Engineering simulation, Machinery, Simulation, Testing, Time series, Cyber-physical systems, Delays, Design

Proceedings Papers

Design and Manufacturing of Topology Optimized Heat Sinks Made of Copper Using 3D Printing

Bilal Taha, Sandeep Patil, Brian H. Dennis

Paper No: MSEC2021-63877

DOI: https://doi.org/10.1115/MSEC2021-63877

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Topics: Additive manufacturing, Copper, Design, Heat sinks, Manufacturing, Optimization, Topology

Proceedings Papers

Edge Computing Enhanced Digital Twins for Smart Manufacturing

Huiyue Huang, Xun Xu

Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A020, June 21–25, 2021

Paper No: MSEC2021-64438

DOI: https://doi.org/10.1115/MSEC2021-64438

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Topics: Manufacturing, High pressure (Physics), Optimization, Simulation

Proceedings Papers

Adhesive Deposition Process Characterization for Microstructure Assembly

Andriy Sherehiy, Andres Montenegro, Danming Wei, Dan O. Popa

Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T08A012, June 21–25, 2021

Paper No: MSEC2021-63929

DOI: https://doi.org/10.1115/MSEC2021-63929

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Topics: Additive manufacturing, Adhesives, Experimental design, Manufacturing, Microassembling, Microelectromechanical systems, Printing, Fluids, Microscale devices, Silicon

Proceedings Papers

Toolpath Generation for Additive Manufacturing Considering Structural Performance

Eder Sales, Tsz Ho Kwok, Yong Chen

Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T01A035, September 3, 2020

Paper No: MSEC2020-8413

DOI: https://doi.org/10.1115/MSEC2020-8413

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Topics: Additive manufacturing, Optimization, Computer-aided design, Topology, Parallel strand lumber, Algorithms, Manufacturing, Shapes, Stress, Structural design

Proceedings Papers

Design of Stochastic Lattice Structures for Additive Manufacturing

Matthew McConaha, Sam Anand

Paper No: MSEC2020-8439

DOI: https://doi.org/10.1115/MSEC2020-8439

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Topics: Additive manufacturing, Design, Optimization, Topology

2 3 4 5

NARROW

Advantages of Additive Manufacturing Technology in Damping Improvement of Turbine Blading

Process Optimization for Hydrothermal-Assisted Jet Fusion Additive Manufacturing of Ceramics

Tiling of Cellular Structures Into 3D Parts According to the Density Values of SIMP Topology Optimization

A Comparative Study on the Effects of an Advanced Scan Pattern and Intelligent Scan Sequence on Thermal Distribution, Part Deformation, and Printing Time in PBF Additive Manufacturing

Optimization-Based Disassembly Sequence Planning Under Uncertainty for Human-Robot Collaboration

Finding Robust Pareto-Optimal Solutions Over Time for Dynamic Disassembly Sequence Planning

Real-Time Structured Light Scanning Characterization of Surface Topography of Direct Energy Deposited 316L Stainless Steel

Characterizing the Conductivity of Aerosol Jet Printed Silver Traces on Glass Using Intense Pulsed Light (IPL)

Solving the Open Route Capacitated Periodic Vehicle Routing Problem With Time Windows to Service Microgrids Powered by Uncertain Renewable Generation

Individual-Based Transfer Learning for Dynamic Human-Robot Collaborative Disassembly Line Balancing

Sequential Robust Parameter Design With Sample Size Selection

Curating Datasets of Flexible Assemblies to Predict Spring-Back Behavior for Machine Learning Purposes

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

Optimization of Ultra-High Aspect Ratio Nanostructures Fabricated Using Glancing Angle Deposition

Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification

Design and Manufacturing of Topology Optimized Heat Sinks Made of Copper Using 3D Printing

Edge Computing Enhanced Digital Twins for Smart Manufacturing

Adhesive Deposition Process Characterization for Microstructure Assembly

Toolpath Generation for Additive Manufacturing Considering Structural Performance

Design of Stochastic Lattice Structures for Additive Manufacturing

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