1-20 of 23
Prahalada Rao
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Toward Rapid Process Qualification of Laser Powder Bed Fusion: Model Predictive Control of Part Thermal History

Alexander Riensche, Benjamin Bevans, John Sions, Kyle Snyder, Yuri Plotnikov, Derek Hass, Prahalada Rao
Proc. ASME. MSEC2024, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A040, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-125241
https://doi.org/10.1115/MSEC2024-125241
View Paper titled, Toward Rapid Process Qualification of Laser Powder Bed Fusion: Model Predictive Control of Part Thermal History
Open the PDF for Toward Rapid Process Qualification of Laser Powder Bed Fusion: Model Predictive Control of Part Thermal History in another window
Topics: Lasers, Predictive control
Proceedings Papers

Predicting Microstructure Evolution in Laser Powder Bed Fusion Additive Manufacturing Using Physics-Based Machine Learning

Alexander Riensche, Benjamin Bevans, Grant King, Ajay Krishnan, Kevin Cole, Prahalada Rao
Proc. ASME. MSEC2024, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A039, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-125230
https://doi.org/10.1115/MSEC2024-125230
View Paper titled, Predicting Microstructure Evolution in Laser Powder Bed Fusion Additive Manufacturing Using Physics-Based Machine Learning
Open the PDF for Predicting Microstructure Evolution in Laser Powder Bed Fusion Additive Manufacturing Using Physics-Based Machine Learning in another window
Topics: Additive manufacturing, Lasers, Machine learning, Modeling, Physics
Proceedings Papers

In-Process Monitoring of Process Stability in Laser Wire Directed Energy Deposition Using Physics-Based Machine Learning

Benjamin Bevans, Anis Assad, Jakob Hamilton, Prahalada Rao, Iris Rivero
Proc. ASME. MSEC2024, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A011, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-123863
https://doi.org/10.1115/MSEC2024-123863
View Paper titled, In-Process Monitoring of Process Stability in Laser Wire Directed Energy Deposition Using Physics-Based Machine Learning
Open the PDF for In-Process Monitoring of Process Stability in Laser Wire Directed Energy Deposition Using Physics-Based Machine Learning in another window
Topics: Additive manufacturing, Imaging, Lasers, Machine learning, Physics, Stability, Wire
Proceedings Papers

Brief Paper: Process Monitoring and Fault Detection in Laser Powder Bed Fusion Using In-Situ Acoustic Emissions

Benjamin D. Bevans, Alexander Riensche, Yuri Plotnikov, John Sions, Kyle Snyder, Derek Hass, Prahalada Rao
Proc. ASME. MSEC2024, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A042, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-125256
https://doi.org/10.1115/MSEC2024-125256
View Paper titled, Brief Paper: Process Monitoring and Fault Detection in Laser Powder Bed Fusion Using In-Situ Acoustic Emissions
Open the PDF for Brief Paper: Process Monitoring and Fault Detection in Laser Powder Bed Fusion Using In-Situ Acoustic Emissions in another window
Topics: Acoustic emissions, Additive manufacturing, Flaw detection, Lasers, Process monitoring, Sensors
Proceedings Papers

Brief Paper: Deciphering the Effect of Part Thermal History on Microstructure and Mechanical Properties in Laser Powder Bed Fusion of SS316L

Kaustubh Deshmukh, Alexander Riensche, Ryan J. Lane, Kyle Snyder, Christopher B. Williams, Reza Mirzaeifar, Prahalada Rao
Proc. ASME. MSEC2024, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A012, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-123865
https://doi.org/10.1115/MSEC2024-123865
View Paper titled, Brief Paper: Deciphering the Effect of Part Thermal History on Microstructure and Mechanical Properties in Laser Powder Bed Fusion of SS316L
Open the PDF for Brief Paper: Deciphering the Effect of Part Thermal History on Microstructure and Mechanical Properties in Laser Powder Bed Fusion of SS316L in another window
Topics: Lasers, Mechanical properties
Proceedings Papers

Physics-Based Feedforward Control of Thermal History in Laser Powder Bed Fusion Additive Manufacturing

Alexander Riensche, Benjamin Bevans, Ziyad Smoqi, Reza Yavari, Ajay Krishnan, Josie Gilligan, Nicholas Piercy, Kevin Cole, Prahalada Rao
Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A010, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-103829
https://doi.org/10.1115/MSEC2023-103829
View Paper titled, Physics-Based Feedforward Control of Thermal History in Laser Powder Bed Fusion Additive Manufacturing
Open the PDF for Physics-Based Feedforward Control of Thermal History in Laser Powder Bed Fusion Additive Manufacturing in another window
Topics: Additive manufacturing, Feedforward control, Lasers, Physics, Grain size, Heat, Joining, Materials characterization, Microhardness, Modeling
Journal Articles

A Computational Fluid Dynamics Investigation of Pneumatic Atomization, Aerosol Transport, and Deposition in Aerosol Jet Printing Process

Roozbeh (Ross) Salary, Jack P. Lombardi, Darshana L. Weerawarne, Prahalada Rao, Mark D. Poliks
Journal: Journal of Micro and Nano-Manufacturing
Publisher: ASME
Article Type: Research-Article
J. Micro Nano-Manuf. March 2021, 9(1): 010903.
Paper No: JMNM-20-1007
https://doi.org/10.1115/1.4049958
Published Online: February 26, 2021
View Article titled, A Computational Fluid Dynamics Investigation of Pneumatic Atomization, Aerosol Transport, and Deposition in Aerosol Jet Printing Process
Open the PDF for A Computational Fluid Dynamics Investigation of Pneumatic Atomization, Aerosol Transport, and Deposition in Aerosol Jet Printing Process in another window
Topics: Aerosols, Computational fluid dynamics, Flow (Dynamics), Turbulence, Printing
Journal Articles

Thermal Modeling in Metal Additive Manufacturing Using Graph Theory: Experimental Validation With Laser Powder Bed Fusion Using In Situ Infrared Thermography Data

M. Reza Yavari, Richard J. Williams, Kevin D. Cole, Paul A. Hooper, Prahalada Rao
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. December 2020, 142(12): 121005.
Paper No: MANU-19-1489
https://doi.org/10.1115/1.4047619
Published Online: September 9, 2020
View Article titled, Thermal Modeling in Metal Additive Manufacturing Using Graph Theory: Experimental Validation With Laser Powder Bed Fusion Using In Situ Infrared Thermography Data
Open the PDF for Thermal Modeling in Metal Additive Manufacturing Using Graph Theory: Experimental Validation With Laser Powder Bed Fusion Using In Situ Infrared Thermography Data in another window
Topics: Finite element analysis, Temperature, Lasers, Additive manufacturing
Journal Articles

In Situ Monitoring of Thin-Wall Build Quality in Laser Powder Bed Fusion Using Deep Learning

Aniruddha Gaikwad, Farhad Imani, Hui Yang, Edward Reutzel, Prahalada Rao
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Technical Papers
Smart Sustain. Manuf. Syst.. December 2019, 3(1): 98–121.
Paper No: SSMS20190027
https://doi.org/10.1520/SSMS20190027
Published Online: December 16, 2019
View Article titled, In Situ Monitoring of Thin-Wall Build Quality in Laser Powder Bed Fusion Using Deep Learning
Open the PDF for In Situ Monitoring of Thin-Wall Build Quality in Laser Powder Bed Fusion Using Deep Learning in another window
Journal Articles

Prediction and Experimental Validation of Part Thermal History in the Fused Filament Fabrication Additive Manufacturing Process

Mriganka Roy, Reza Yavari, Chi Zhou, Olga Wodo, Prahalada Rao
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. December 2019, 141(12): 121001.
Paper No: MANU-18-1773
https://doi.org/10.1115/1.4045056
Published Online: October 16, 2019
View Article titled, Prediction and Experimental Validation of Part Thermal History in the Fused Filament Fabrication Additive Manufacturing Process
Open the PDF for Prediction and Experimental Validation of Part Thermal History in the Fused Filament Fabrication Additive Manufacturing Process in another window
Topics: Additive manufacturing, Geometry, Manufacturing, Modeling, Roads, Sensors, Temperature, Thermocouples, Nozzles, Machinery
Journal Articles

Thermal Modeling in Metal Additive Manufacturing Using Graph Theory

M. Reza Yavari, Kevin D. Cole, Prahalada Rao
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. July 2019, 141(7): 071007.
Paper No: MANU-18-1738
https://doi.org/10.1115/1.4043648
Published Online: May 21, 2019
View Article titled, Thermal Modeling in Metal Additive Manufacturing Using Graph Theory
Open the PDF for Thermal Modeling in Metal Additive Manufacturing Using Graph Theory in another window
Topics: Additive manufacturing, Finite element analysis, Geometry, Heat, Metals, Modeling, Temperature, Temperature distribution, Thermal diffusion, Lasers
Journal Articles

Defect Detection and Monitoring in Metal Additive Manufactured Parts through Deep Learning of Spatially Resolved Acoustic Spectroscopy Signals

Jacob Williams, Paul Dryburgh, Adam Clare, Prahalada Rao, Ashok Samal
Journal: Smart and Sustainable Manufacturing Systems
Publisher: ASTM International
Article Type: Technical Papers
Smart Sustain. Manuf. Syst.. February 2018, 2(1): 204–226.
Paper No: SSMS20180035
https://doi.org/10.1520/SSMS20180035
Published Online: November 19, 2018
View Article titled, Defect Detection and Monitoring in Metal Additive Manufactured Parts through Deep Learning of Spatially Resolved Acoustic Spectroscopy Signals
Open the PDF for Defect Detection and Monitoring in Metal Additive Manufactured Parts through Deep Learning of Spatially Resolved Acoustic Spectroscopy Signals in another window
Proceedings Papers

Stochastic Modeling and Analysis of Spindle Energy Consumption During Hard Milling With a Focus on Tool Wear

Xingtao Wang, Robert E. Williams, Michael P. Sealy, Prahalada Rao, Yuebin Guo
Proc. ASME. MSEC2018, Volume 3: Manufacturing Equipment and Systems, V003T02A002, June 18–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2018-6511
https://doi.org/10.1115/MSEC2018-6511
View Paper titled, Stochastic Modeling and Analysis of Spindle Energy Consumption During Hard Milling With a Focus on Tool Wear
Open the PDF for Stochastic Modeling and Analysis of Spindle Energy Consumption During Hard Milling With a Focus on Tool Wear in another window
Topics: Energy consumption, Milling, Modeling, Wear, Engines, Motors, Cutting, Machining, Manufacturing, Sustainability
Proceedings Papers

Fractal Pattern Recognition of Image Profiles for Manufacturing Process Monitoring and Control

Farhad Imani, Bing Yao, Ruimin Chen, Prahalada Rao, Hui Yang
Proc. ASME. MSEC2018, Volume 3: Manufacturing Equipment and Systems, V003T02A003, June 18–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2018-6523
https://doi.org/10.1115/MSEC2018-6523
View Paper titled, Fractal Pattern Recognition of Image Profiles for Manufacturing Process Monitoring and Control
Open the PDF for Fractal Pattern Recognition of Image Profiles for Manufacturing Process Monitoring and Control in another window
Topics: Fractals, Manufacturing, Pattern recognition, Additive manufacturing, Machining, Biomanufacturing, Dynamics (Mechanics), Finishes, Imaging, Manufacturing industry
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
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2018-6658
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
Open the PDF for Smart Manufacturing: State-of-the-Art Review in Context of Conventional and Modern Manufacturing Process Modeling, Monitoring and Control in another window
Topics: Manufacturing, Modeling, Cloud computing, Control modeling, Control systems, Cyber-physical systems, Governments, Machine learning, Machining, Manufacturing industry
Proceedings Papers

In-Process Monitoring of Material Cross-Contamination in Laser Powder Bed Fusion

Mohammad Montazeri, Reza Yavari, Prahalada Rao, Paul Boulware
Proc. ASME. MSEC2018, Volume 1: Additive Manufacturing; Bio and Sustainable Manufacturing, V001T01A037, June 18–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2018-6470
https://doi.org/10.1115/MSEC2018-6470
View Paper titled, In-Process Monitoring of Material Cross-Contamination in Laser Powder Bed Fusion
Open the PDF for In-Process Monitoring of Material Cross-Contamination in Laser Powder Bed Fusion in another window
Topics: Contamination, Lasers, Sensors, Errors, Feedstock, Additive manufacturing, Alloys, Aluminum, Aluminum powders, Cascades (Fluid dynamics)
Proceedings Papers

Layerwise In-Process Quality Monitoring in Laser Powder Bed Fusion

Farhad Imani, Aniruddha Gaikwad, Mohammad Montazeri, Prahalada Rao, Hui Yang, Edward Reutzel
Proc. ASME. MSEC2018, Volume 1: Additive Manufacturing; Bio and Sustainable Manufacturing, V001T01A038, June 18–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2018-6477
https://doi.org/10.1115/MSEC2018-6477
View Paper titled, Layerwise In-Process Quality Monitoring in Laser Powder Bed Fusion
Open the PDF for Layerwise In-Process Quality Monitoring in Laser Powder Bed Fusion in another window
Topics: Lasers, Porosity, Optical images, Sensors, Additive manufacturing, Computerized tomography, Cylinders, Fatigue life, Machine learning, Machinery
Journal Articles

In-Process Monitoring of Material Cross-Contamination Defects in Laser Powder Bed Fusion

Mohammad Montazeri, Reza Yavari, Prahalada Rao, Paul Boulware
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. November 2018, 140(11): 111001.
Paper No: MANU-17-1706
https://doi.org/10.1115/1.4040543
Published Online: July 31, 2018
View Article titled, In-Process Monitoring of Material Cross-Contamination Defects in Laser Powder Bed Fusion
Open the PDF for In-Process Monitoring of Material Cross-Contamination Defects in Laser Powder Bed Fusion in another window
Topics: Contamination, Lasers, Sensors, Aluminum, Particulate matter, Quality control charts, Signals, Tungsten
Journal Articles

Process Mapping and In-Process Monitoring of Porosity in Laser Powder Bed Fusion Using Layerwise Optical Imaging

Farhad Imani, Aniruddha Gaikwad, Mohammad Montazeri, Prahalada Rao, Hui Yang, Edward Reutzel
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. October 2018, 140(10): 101009.
Paper No: MANU-17-1575
https://doi.org/10.1115/1.4040615
Published Online: July 27, 2018
View Article titled, Process Mapping and In-Process Monitoring of Porosity in Laser Powder Bed Fusion Using Layerwise Optical Imaging
Open the PDF for Process Mapping and In-Process Monitoring of Porosity in Laser Powder Bed Fusion Using Layerwise Optical Imaging in another window
Topics: Lasers, Porosity, Imaging
Journal Articles

Sensor-Based Build Condition Monitoring in Laser Powder Bed Fusion Additive Manufacturing Process Using a Spectral Graph Theoretic Approach

Mohammad Montazeri, Prahalada Rao
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. September 2018, 140(9): 091002.
Paper No: MANU-18-1023
https://doi.org/10.1115/1.4040264
Published Online: June 4, 2018
View Article titled, Sensor-Based Build Condition Monitoring in Laser Powder Bed Fusion Additive Manufacturing Process Using a Spectral Graph Theoretic Approach
Open the PDF for Sensor-Based Build Condition Monitoring in Laser Powder Bed Fusion Additive Manufacturing Process Using a Spectral Graph Theoretic Approach in another window
Topics: Lasers, Sensors, Signals, Theoretical methods, Additive manufacturing, Eigenvalues