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Proceedings Papers

Positioning Accuracy in a Concurrent Robot-CNC Hybrid Manufacturing System

Jesse Goodwin, Kathryn Kelly, Melissa Foley, Christopher Saldana, Thomas Kurfess, Kyle Saleeby
Proc. ASME. MSEC2024, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality & Reliability, V002T05A001, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-121212
https://doi.org/10.1115/MSEC2024-121212
View Paper titled, Positioning Accuracy in a Concurrent Robot-CNC Hybrid Manufacturing System
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Topics: Additive manufacturing, Computer numerical control machine tools, Manufacturing, Manufacturing systems, Robots, Machinery, Machining, Errors, Assembly lines, Control equipment
Proceedings Papers

Effect of Blown Powder Directed Energy Deposition Angle On Overspray Contamination

Lauren Heinrich, Rangasayee Kannan, Alan Burl, Peeyush Nandwana, Kenton Fillingim, Thomas Feldhausen, Thomas Kurfess, Christopher Saldaña
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A009, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-104372
https://doi.org/10.1115/MSEC2023-104372
View Paper titled, Effect of Blown Powder Directed Energy Deposition Angle On Overspray Contamination
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Topics: Contamination, Manufacturing, Particulate matter, Thin wall structures, Design, Lasers, Machine tools, Machining, Shapes, Toolpaths
Journal Articles

Data-Driven Approaches for Bead Geometry Prediction Via Melt Pool Monitoring

Zoe Alexander, Thomas Feldhausen, Kyle Saleeby, Thomas Kurfess, Katherine Fu, Christopher Saldaña
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. September 2023, 145(9): 091011.
Paper No: MANU-23-1036
https://doi.org/10.1115/1.4062800
Published Online: July 20, 2023
View Article titled, Data-Driven Approaches for Bead Geometry Prediction Via Melt Pool Monitoring
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Topics: Errors, Geometry, Monitoring systems, Reflection, Lasers, Support vector machines, Machinery, Additive manufacturing, Artificial neural networks
Journal Articles

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

David Gamero, Andrew Dugenske, Christopher Saldana, Thomas Kurfess, Katherine Fu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2022, 22(6): 060901.
Paper No: JCISE-21-1433
https://doi.org/10.1115/1.4055733
Published Online: October 10, 2022
View Article titled, Scalability Testing Approach for Internet of Things for Manufacturing SQL and NoSQL Database Latency and Throughput
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Topics: Databases, Internet of things, Manufacturing, Stress, Testing
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
Proc. ASME. MSEC2022, Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing, V001T01A018, June 27–July 1, 2022
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2022-85382
https://doi.org/10.1115/MSEC2022-85382
View Paper titled, Support Vector Machines for Classification of Direct Energy Deposition Standoff Distance for Improved Process Control
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Topics: Process control, Support vector machines
Proceedings Papers

Magnetic Levitation Testbed for Controls Education

Kevin Craig, Thomas Kurfess, Mark Nagurka
Proc. ASME. IMECE98, Dynamic Systems and Control, 83-88, November 15–20, 1998
Publisher: American Society of Mechanical Engineers
Paper No: IMECE1998-0237
https://doi.org/10.1115/IMECE1998-0237
View Paper titled, Magnetic Levitation Testbed for Controls Education
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Topics: Education, Magnetic levitation, Control equipment, Design, Electromagnets, Feedback, Levitation, Magnetic fields, Sensors, Undergraduate students
Proceedings Papers

Generating and Modeling Subsurface Damage in Grinding γ-Ti-48Al

Luis Nelson, H. Ali Razavi, Thomas Kurfess, Steven Danyluk
Proc. ASME. IMECE99, Manufacturing Science and Engineering, 467-472, November 14–19, 1999
Publisher: American Society of Mechanical Engineers
Paper No: IMECE1999-0705
https://doi.org/10.1115/IMECE1999-0705
View Paper titled, Generating and Modeling Subsurface Damage in Grinding γ-Ti-48Al
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Topics: Damage, Grinding, Modeling, Deformation, Titanium aluminide, Diamonds, Grinding wheels, Lasers, Microcracks, Optical microscopy
Journal Articles

Effects of Extrinsic Noise Factors on Machine Learning–Based Chatter Detection in Machining

Lance Lu, Thomas Kurfess, Christopher Saldana
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Technical Papers
Smart Sustain. Manuf. Syst.. March 2021, 5(1): 167–180.
Paper No: SSMS20210007
https://doi.org/10.1520/SSMS20210007
Published Online: August 13, 2021
View Article titled, Effects of Extrinsic Noise Factors on Machine Learning–Based Chatter Detection in Machining
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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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2021-63960
https://doi.org/10.1115/MSEC2021-63960
View Paper titled, SQL and NoSQL Databases for Cyber Physical Production Systems in Internet of Things for Manufacturing (IoTfM)
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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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2022, 22(1): 011011.
Paper No: JCISE-20-1330
https://doi.org/10.1115/1.4051663
Published Online: July 14, 2021
View Article titled, Cyber-Physical System Implementation for Manufacturing With Analytics in the Cloud Layer
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Topics: Algorithms, Aluminum, Computer numerical control machine tools, Databases, Machinery, Machining, Manufacturing, Statistical process control, Steel, Stress
Journal Articles

An Automated Edge Computing-Based Condition Health Monitoring System: With an Application on Rolling Element Bearings

Niklas Tritschler, Andrew Dugenske, Thomas Kurfess
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. July 2021, 143(7): 071006.
Paper No: MANU-20-1269
https://doi.org/10.1115/1.4049845
Published Online: February 26, 2021
View Article titled, An Automated Edge Computing-Based Condition Health Monitoring System: With an Application on Rolling Element Bearings
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Topics: Bearings, Cutting, Monitoring systems, Rolling bearings, Sensors, Signals, Vibration, Machinery
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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8389
https://doi.org/10.1115/MSEC2020-8389
View Paper titled, Parametric Study and Multi-Criteria Optimization in Laser Directed Energy Deposition of 316L Stainless Steel
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Topics: Additive manufacturing, Lasers, Optimization, Stainless steel, Shapes, Bonding, Feedstock, Heat, Modeling, Polynomials
Proceedings Papers

IoT Devices and Applications for Wire-Based Hybrid Manufacturing Machine Tools

Austen Thien, Christopher J. Saldana, Thomas Feldhausen, Thomas Kurfess
Proc. ASME. MSEC2020, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation, V001T01A051, September 3, 2020
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2020-8393
https://doi.org/10.1115/MSEC2020-8393
View Paper titled, IoT Devices and Applications for Wire-Based Hybrid Manufacturing Machine Tools
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Topics: Internet of things, Machine tools, Manufacturing, Wire, Machinery, Feedstock, Lasers, Machining, Process monitoring, Sensors
Journal Articles

Rapid Retooling for Emergency Response with Hybrid Manufacturing

Kyle Saleeby, Thomas Feldhausen, Lonnie Love, Thomas Kurfess
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Technical Notes
Smart Sustain. Manuf. Syst.. December 2020, 4(3): 245–249.
Paper No: SSMS20200050
https://doi.org/10.1520/SSMS20200050
Published Online: December 16, 2020
View Article titled, Rapid Retooling for Emergency Response with Hybrid Manufacturing
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Journal Articles

A Review of Manufacturing Process Control

Robert G. Landers, Kira Barton, Santosh Devasia, Thomas Kurfess, Prabhakar Pagilla, Masayoshi Tomizuka
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Review Articles
J. Manuf. Sci. Eng. November 2020, 142(11): 110814.
Paper No: MANU-20-1096
https://doi.org/10.1115/1.4048111
Published Online: September 28, 2020
View Article titled, A Review of Manufacturing Process Control
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Topics: Control equipment, Design, Machining, Manufacturing, Modeling, Temperature, Feedback, Grinding, Sensors, Dynamics (Mechanics)
Journal Articles

A Deep Ensemble Classifier for Surface Defect Detection in Aircraft Visual Inspection

Ivan Ren, Feraidoon Zahiri, Gregory Sutton, Thomas Kurfess, Christopher Saldana
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Technical Papers
Smart Sustain. Manuf. Syst.. August 2020, 4(1): 81–94.
Paper No: SSMS20200031
https://doi.org/10.1520/SSMS20200031
Published Online: September 21, 2020
View Article titled, A Deep Ensemble Classifier for Surface Defect Detection in Aircraft Visual Inspection
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Journal Articles

The State of Integrated Computer-Aided Manufacturing/Computer Numerical Control: Prior Development and the Path Toward a Smarter Computer Numerical Controller

Roby Lynn, Moneer Helu, Mukul Sati, Tommy Tucker, Thomas Kurfess
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Review Articles
Smart Sustain. Manuf. Syst.. July 2020, 4(2): 25–42.
Paper No: SSMS20190046
https://doi.org/10.1520/SSMS20190046
Published Online: July 29, 2020
View Article titled, The State of Integrated Computer-Aided Manufacturing/Computer Numerical Control: Prior Development and the Path Toward a Smarter Computer Numerical Controller
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Journal Articles

A Cloud-Based Machine Vision Approach for Utilization Prediction of Manual Machine Tools

Mahmoud Parto, Dongmin Han, Pierrick Rauby, Chong Ye, Yuanlai Zhou, Duen Horng Chau, Thomas Kurfess
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Technical Papers
Smart Sustain. Manuf. Syst.. December 2019, 3(2): 83–94.
Paper No: SSMS20190019
https://doi.org/10.1520/SSMS20190019
Published Online: December 1, 2019
View Article titled, A Cloud-Based Machine Vision Approach for Utilization Prediction of Manual Machine Tools
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Journal Articles

Development of a Digital Architecture for Distributed CNC Machine Health Monitoring

Daniel Newman, Mahmoud Parto, Kyle Saleeby, Thomas Kurfess, Andrew Dugenske
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Technical Papers
Smart Sustain. Manuf. Syst.. December 2019, 3(2): 68–82.
Paper No: SSMS20190038
https://doi.org/10.1520/SSMS20190038
Published Online: December 1, 2019
View Article titled, Development of a Digital Architecture for Distributed CNC Machine Health Monitoring
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Proceedings Papers

Conceptualization and Design of a Low-Cost MTConnect-Enabled Refractometer for Coolant Health Monitoring

Thomas Feldhausen, Asimm Hirani, Walter King, Roby Lynn, Thomas Kurfess
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T02A012, June 10–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2019-2755
https://doi.org/10.1115/MSEC2019-2755
View Paper titled, Conceptualization and Design of a Low-Cost MTConnect-Enabled Refractometer for Coolant Health Monitoring
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Topics: Coolants, Design, Machinery, Refractive index, Internet of things, Monitoring systems, Data acquisition, Machining, Manufacturing, Production facilities