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Proc. ASME. MSEC2022, Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing, V001T01A020, June 27–July 1, 2022

Paper No: MSEC2022-85404

DOI: https://doi.org/10.1115/MSEC2022-85404

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Topics: Acoustics, Additive manufacturing, Algorithms, Machine learning, Process monitoring, Wire

Proceedings Papers

Support Vector Machines for Classification of Direct Energy Deposition Standoff Distance for Improved Process Control

Zoe Alexander, Nathan DeVol, Molly Emig, Kyle Saleeby, Thomas Feldhausen, Thomas Kurfess, Katherine Fu, Christopher Saldana

Paper No: MSEC2022-85382

DOI: https://doi.org/10.1115/MSEC2022-85382

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Topics: Process control, Support vector machines

Proceedings Papers

Effects of Process Parameters on Thin-Wall Substrate WAAM Deposition

Austen Thien, Jesse Goodwin, Christopher Saldana

Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T05A004, June 27–July 1, 2022

Paper No: MSEC2022-80707

DOI: https://doi.org/10.1115/MSEC2022-80707

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Topics: Additive manufacturing, Manufacturing, Thin wall structures, Wire

Proceedings Papers

Analysis of Conduction Cooling Strategies for Wire Arc Additive Manufacturing

Lauren Heinrich, Thomas Feldhausen, Kyle S. Saleeby, Christopher Saldana, Thomas R. Kurfess

Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T05A005, June 27–July 1, 2022

Paper No: MSEC2022-81641

DOI: https://doi.org/10.1115/MSEC2022-81641

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Topics: Additive manufacturing, Cooling, Finite element analysis, Heat conduction, Manufacturing, Retrofitting, Wire

Proceedings Papers

Prediction of Thermal Conditions of DED With FEA Metal Additive Simulation

Lauren Heinrich, Thomas Feldhausen, Kyle S. Saleeby, Christopher Saldana, Thomas R. Kurfess

Proc. ASME. MSEC2021, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T01A022, June 21–25, 2021

Paper No: MSEC2021-63841

DOI: https://doi.org/10.1115/MSEC2021-63841

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Topics: Additive manufacturing, Finite element analysis, Gas metal arc welding, Metals, Simulation

Proceedings Papers

SQL and NoSQL Databases for Cyber Physical Production Systems in Internet of Things for Manufacturing (IoTfM)

David Gamero, Andrew Dugenske, Thomas Kurfess, Christopher Saldana, Katherine Fu

Proc. ASME. MSEC2021, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A014, June 21–25, 2021

Paper No: MSEC2021-63960

DOI: https://doi.org/10.1115/MSEC2021-63960

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Topics: Databases, Internet of things, Manufacturing, Manufacturing systems, Relational databases

Journal Articles

Cyber-Physical System Implementation for Manufacturing With Analytics in the Cloud Layer

Mahmoud Parto, Pedro Daniel Urbina Coronado, Christopher Saldana, Thomas Kurfess

J. Comput. Inf. Sci. Eng. February 2022, 22(1): 011011.

Paper No: JCISE-20-1330

DOI: https://doi.org/10.1115/1.4051663

Published Online: July 14, 2021

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Topics: Algorithms, Aluminum, Computer numerical control machine tools, Databases, Machinery, Machining, Manufacturing, Statistical process control, Steel, Stress

Proceedings Papers

Parametric Study and Multi-Criteria Optimization in Laser Directed Energy Deposition of 316L Stainless Steel

Samuel Kersten, Maxwell Praniewicz, Omar Elsayed, Thomas Kurfess, Christopher Saldana

Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T01A033, September 3, 2020

Paper No: MSEC2020-8389

DOI: https://doi.org/10.1115/MSEC2020-8389

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Topics: Additive manufacturing, Lasers, Optimization, Stainless steel, Shapes, Bonding, Feedstock, Heat, Modeling, Polynomials

Journal Articles

A Review of Modern Communication Technologies for Digital Manufacturing Processes in Industry 4.0

Thomas R. Kurfess, Christopher Saldana, Kyle Saleeby, Mahmoud Parto Dezfouli

J. Manuf. Sci. Eng. November 2020, 142(11): 110815.

Paper No: MANU-19-1687

DOI: https://doi.org/10.1115/1.4048206

Published Online: September 28, 2020

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Topics: Data acquisition, Manufacturing, Hardware, Machinery

Journal Articles

Structure and Deformation of Gradient Metal Foams Produced by Machining

Haipeng Qiao, Tejas G. Murthy, Christopher Saldana

J. Manuf. Sci. Eng. July 2019, 141(7): 071009.

Paper No: MANU-19-1273

DOI: https://doi.org/10.1115/1.4043768

Published Online: May 23, 2019

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Topics: Compression, Deformation, Foams (Chemistry), Machining, Metal foams, Struts (Engineering), Aluminum, Equipment performance

Journal Articles

An Adaptive Geometry Transformation and Repair Method for Hybrid Manufacturing

Maxwell Praniewicz, Thomas Kurfess, Christopher Saldana

J. Manuf. Sci. Eng. January 2019, 141(1): 011006.

Paper No: MANU-18-1333

DOI: https://doi.org/10.1115/1.4041570

Published Online: October 19, 2018

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Topics: Blades, Geometry, Maintenance, Manufacturing, Deformation, Machining, Interpolation

Proceedings Papers

Machining Performance and Microstructure Evolution in Milling Advanced Low-Alloy Military-Grade Steel

Jason Wolf, Christopher Saldana, Tom Maloney, Jack Quitter, John Von Roemer

Proc. ASME. MSEC2018, Volume 2: Materials; Joint MSEC-NAMRC-Manufacturing USA, V002T04A026, June 18–22, 2018

Paper No: MSEC2018-6566

DOI: https://doi.org/10.1115/MSEC2018-6566

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Topics: Alloys, Machining, Military systems, Milling, Steel, Cooling, Defense industry, Machinability, Structural steel, Dynamic testing (Materials)

Proceedings Papers

Consolidation of Nanostructured Metal Powders Produced by Modulation-Assisted Machining

James B. Mann, Christopher Saldana, Srinivasan Chandrasekar

Proc. ASME. MSEC2018, Volume 2: Materials; Joint MSEC-NAMRC-Manufacturing USA, V002T04A029, June 18–22, 2018

Paper No: MSEC2018-6621

DOI: https://doi.org/10.1115/MSEC2018-6621

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Topics: Machining, Metal powders, Extruding, Particulate matter, Alloys, Aluminum alloys, Elongation, Grain boundaries, Grain size, Metals

Proceedings Papers

Modeling of Tool-Workpiece Interaction in a Voxelized Framework

John C. Miers, Tommy Tucker, Thomas Kurfess, Christopher Saldana

Proc. ASME. MSEC2018, Volume 4: Processes, V004T03A025, June 18–22, 2018

Paper No: MSEC2018-6466

DOI: https://doi.org/10.1115/MSEC2018-6466

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Journal Articles

Tribological Performance of Textured Surfaces Created by Modulation-Assisted Machining

Andrew Tock, Rahul Gandhi, Christopher Saldana, Patricia Iglesias

J. Tribol. November 2018, 140(6): 061704.

Paper No: TRIB-17-1475

DOI: https://doi.org/10.1115/1.4040149

Published Online: May 21, 2018

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Topics: Machining, Tribology, Wear, Brass (Metal)

Proceedings Papers

Wear Performance of New Textured Surfaces Created by Modulation Machining

Andrew Tock, Rahul Gandhi, Christopher Saldana, Patricia Iglesias

Proc. ASME. IMECE2017, Volume 14: Emerging Technologies; Materials: Genetics to Structures; Safety Engineering and Risk Analysis, V014T11A014, November 3–9, 2017

Paper No: IMECE2017-70721

DOI: https://doi.org/10.1115/IMECE2017-70721

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Topics: Machining, Wear, Friction, Texture (Materials), Alloys, Brass (Metal), Disks, Fluids, Lubrication, Manufacturing

Proceedings Papers

Subsurface Microstructure and Crystallographic Texture in Surface Severe Plastic Deformation Processes

Zhiyu Wang, Christopher Saldana, Saurabh Basu

Proc. ASME. MSEC2017, Volume 2: Additive Manufacturing; Materials, V002T03A030, June 4–8, 2017

Paper No: MSEC2017-2915

DOI: https://doi.org/10.1115/MSEC2017-2915

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Topics: Deformation, Texture (Materials), Surface deformation, Copper, Electrical conductivity, Electron backscatter diffraction, Fibers, Imaging, Laminates, Microscopy

Proceedings Papers

Using Rapid Manufacturability Analysis Tools to Enhance Design-for-Manufacturing Training in Engineering Education

Roby Lynn, Kathryn Jablokow, Nithin Reddy, Christopher Saldana, Tommy Tucker, Timothy W. Simpson, Thomas Kurfess, Christopher Williams

Proc. ASME. IDETC-CIE2016, Volume 3: 18th International Conference on Advanced Vehicle Technologies; 13th International Conference on Design Education; 9th Frontiers in Biomedical Devices, V003T04A002, August 21–24, 2016

Paper No: DETC2016-59295

DOI: https://doi.org/10.1115/DETC2016-59295

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Topics: Design for Manufacturing, Engineering education, Design, Manufacturing, Students, Additive manufacturing, Education, Machining, Computer software, Engineering students

Journal citation

NARROW

Indirect Tool Condition Monitoring Using Ensemble Machine Learning Techniques

Scalability Testing Approach for Internet of Things for Manufacturing SQL and NoSQL Database Latency and Throughput

Acoustic Process Monitoring of Contact Tip to Work Piece Distance in Wire Arc Additive Manufacturing by Random Forest Algorithms

Support Vector Machines for Classification of Direct Energy Deposition Standoff Distance for Improved Process Control

Effects of Process Parameters on Thin-Wall Substrate WAAM Deposition

Analysis of Conduction Cooling Strategies for Wire Arc Additive Manufacturing

Prediction of Thermal Conditions of DED With FEA Metal Additive Simulation

SQL and NoSQL Databases for Cyber Physical Production Systems in Internet of Things for Manufacturing (IoTfM)

Cyber-Physical System Implementation for Manufacturing With Analytics in the Cloud Layer

Parametric Study and Multi-Criteria Optimization in Laser Directed Energy Deposition of 316L Stainless Steel

A Review of Modern Communication Technologies for Digital Manufacturing Processes in Industry 4.0

Structure and Deformation of Gradient Metal Foams Produced by Machining

An Adaptive Geometry Transformation and Repair Method for Hybrid Manufacturing

Machining Performance and Microstructure Evolution in Milling Advanced Low-Alloy Military-Grade Steel

Consolidation of Nanostructured Metal Powders Produced by Modulation-Assisted Machining

Modeling of Tool-Workpiece Interaction in a Voxelized Framework

Tribological Performance of Textured Surfaces Created by Modulation-Assisted Machining

Wear Performance of New Textured Surfaces Created by Modulation Machining

Subsurface Microstructure and Crystallographic Texture in Surface Severe Plastic Deformation Processes

Using Rapid Manufacturability Analysis Tools to Enhance Design-for-Manufacturing Training in Engineering Education

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