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Proceedings Papers

Multi-Fidelity Sensing and Digital Twin System for Automated Monitoring in Cooperative Robotic Additive Manufacturing

Sean Rescsanski, Tyler Nardi, Vihaan Shah, Jiong Tang, Farhad Imani
Proc. ASME. ISFA2024, 2024 International Symposium on Flexible Automation, V001T01A003, July 21–24, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ISFA2024-141324
https://doi.org/10.1115/ISFA2024-141324
View Paper titled, Multi-Fidelity Sensing and Digital Twin System for Automated Monitoring in Cooperative Robotic Additive Manufacturing
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Topics: Additive manufacturing, Digital twin, Robotics
Proceedings Papers

Brief Paper: Multi-Task Brain-Inspired Learning for Interlinking Machining Dynamics With Parts Geometrical Deviations

Danny Hoang, Hanning Chen, Mohsen Imani, Ruimin Chen, Farhad Imani
Proc. ASME. MSEC2024, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality & Reliability, V002T05A012, June 17–21, 2024
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2024-125435
https://doi.org/10.1115/MSEC2024-125435
View Paper titled, Brief Paper: Multi-Task Brain-Inspired Learning for Interlinking Machining Dynamics With Parts Geometrical Deviations
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Topics: Brain, Computers, Dynamics (Mechanics), Machining, Manufacturing, Computer numerical control machine tools, Product quality, Chatter, Machine learning, Surface roughness
Journal Articles

Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps

Sean Rescsanski, Vihaan Shah, Jiong Tang, Farhad Imani
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111006.
Paper No: JCISE-23-1386
https://doi.org/10.1115/1.4065525
Published Online: July 22, 2024
View Article titled, Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps
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Topics: Additive manufacturing, Flaw detection, Manufacturing, Random-access memory, Robotics, Simulation, Robots
Proceedings Papers

Data Fusion Cognitive Computing for Characterization of Mechanical Property in Friction Stir Welding Process

Danny Hoang, Ruimin Chen, Debasish Mishra, Surjya K. Pal, Farhad Imani
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A055, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117184
https://doi.org/10.1115/DETC2023-117184
View Paper titled, Data Fusion Cognitive Computing for Characterization of Mechanical Property in Friction Stir Welding Process
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Topics: Data fusion, Friction, Mechanical properties, Welding
Proceedings Papers

Hyperdimensional Cognitive Computing for Lightweight Cyberattack Detection in Industrial Internet of Things

Fardin Jalil Piran, Hamza Errahmouni Barkam, Mohsen Imani, Farhad Imani
Proc. ASME. IDETC-CIE2023, Volume 7: 19th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), V007T07A013, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-110699
https://doi.org/10.1115/DETC2023-110699
View Paper titled, Hyperdimensional Cognitive Computing for Lightweight Cyberattack Detection in Industrial Internet of Things
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Topics: Cyber-attacks, Internet of things
Proceedings Papers

Anomaly Detection of Laser-Based Metal Additive Manufacturing Using Neural-Variational Auto-Encoder

Sean Rescsanski, Aref Yadollahi, Mojtaba Khanzadeh, Farhad Imani
Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A026, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-105156
https://doi.org/10.1115/MSEC2023-105156
View Paper titled, Anomaly Detection of Laser-Based Metal Additive Manufacturing Using Neural-Variational Auto-Encoder
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Topics: Additive manufacturing, Lasers, Metals
Proceedings Papers

Edge Cognitive Data Fusion: From In-Situ Sensing to Quality Characterization in Hybrid Manufacturing Process

Danny Hoang, Nasir Mannan, Ruby ElKharboutly, Ruimin Chen, Farhad Imani
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A029, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-105170
https://doi.org/10.1115/MSEC2023-105170
View Paper titled, Edge Cognitive Data Fusion: From In-Situ Sensing to Quality Characterization in Hybrid Manufacturing Process
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Topics: Additive manufacturing, Data fusion, Manufacturing
Journal Articles

A Data-Driven Framework for Computationally Efficient Integration of Chemical Kinetics Using Neural Ordinary Differential Equations

Shubhangi Bansude, Farhad Imani, Reza Sheikhi
Journal: ASME Open Journal of Engineering
Publisher: ASME
Article Type: Research Papers
ASME Open J. Engineering. January 2023, 2: 021022.
Paper No: AOJE-23-1019
https://doi.org/10.1115/1.4062105
Published Online: April 6, 2023
View Article titled, A Data-Driven Framework for Computationally Efficient Integration of Chemical Kinetics Using Neural Ordinary Differential Equations
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Topics: Artificial neural networks, Chemical kinetics, Differential equations, Errors, Hydrogen, Pressure, Temperature, Combustion, Simulation, Stiffness
Proceedings Papers

Dependency Evaluation of Defect Formation and Printing Location in Additive Manufacturing

Kosar Safari, Shihab Khalfalla, Farhad Imani
Proc. ASME. IMECE2022, Volume 2A: Advanced Manufacturing, V02AT02A016, October 30–November 3, 2022
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2022-95145
https://doi.org/10.1115/IMECE2022-95145
View Paper titled, Dependency Evaluation of Defect Formation and Printing Location in Additive Manufacturing
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Topics: Additive manufacturing, Printing, Computerized tomography, Design, Imaging, Lasers, Machinery, Porosity, Shapes
Proceedings Papers

Heterogeneous Sensing and Bayesian Optimization for Smart Calibration in Additive Manufacturing Process

Sean Rescsanski, Mahdi Imani, Farhad Imani
Proc. ASME. IMECE2022, Volume 2B: Advanced Manufacturing, V02BT02A051, October 30–November 3, 2022
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2022-96010
https://doi.org/10.1115/IMECE2022-96010
View Paper titled, Heterogeneous Sensing and Bayesian Optimization for Smart Calibration in Additive Manufacturing Process
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Topics: Additive manufacturing, Calibration, Optimization
Proceedings Papers

Latent Representation and Characterization of Scanning Strategy on Laser Powder Bed Fusion Additive Manufacturing

Farhad Imani, Ruimin Chen
Proc. ASME. IMECE2022, Volume 2B: Advanced Manufacturing, V02BT02A009, October 30–November 3, 2022
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2022-96019
https://doi.org/10.1115/IMECE2022-96019
View Paper titled, Latent Representation and Characterization of Scanning Strategy on Laser Powder Bed Fusion Additive Manufacturing
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Topics: Additive manufacturing, Lasers
Proceedings Papers

A Novel Fuzzy-BELBIC Structure for the Adaptive Control of Satellite Attitude

Kosar Safari, Farhad Imani
Proc. ASME. IMECE2022, Volume 3: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology, V003T04A033, October 30–November 3, 2022
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2022-96034
https://doi.org/10.1115/IMECE2022-96034
View Paper titled, A Novel Fuzzy-BELBIC Structure for the Adaptive Control of Satellite Attitude
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Topics: Adaptive control, Optimization algorithms, Satellites
Journal Articles

Performance Assessment of Chemical Kinetics Neural Ordinary Differential Equations in Pairwise Mixing Stirred Reactor

Shubhangi Bansude, Farhad Imani, Reza Sheikhi
Journal: ASME Open Journal of Engineering
Publisher: ASME
Article Type: Research Papers
ASME Open J. Engineering. January 2023, 2: 021008.
Paper No: AOJE-22-1140
https://doi.org/10.1115/1.4056476
Published Online: January 27, 2023
View Article titled, Performance Assessment of Chemical Kinetics Neural Ordinary Differential Equations in Pairwise Mixing Stirred Reactor
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Topics: Chemical kinetics, Chemistry, Combustion, Differential equations, Errors, Particulate matter, Simulation, Temperature, Stiffness, Scalars
Proceedings Papers

Image-Guided Multi-Response Modeling and Characterization of Design Defects in Metal Additive Manufacturing

Farhad Imani, Mojtaba Khanzadeh
Proc. ASME. IMECE2021, Volume 2B: Advanced Manufacturing, V02BT02A046, November 1–5, 2021
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2021-71966
https://doi.org/10.1115/IMECE2021-71966
View Paper titled, Image-Guided Multi-Response Modeling and Characterization of Design Defects in Metal Additive Manufacturing
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Topics: Additive manufacturing, Design, Metals, Modeling
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
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Proceedings Papers

Design Rules and In-Situ Quality Monitoring of Thin-Wall Features Made Using Laser Powder Bed Fusion

Aniruddha Gaikwad, Farhad Imani, Prahalad Rao, Hui Yang, Edward Reutzel
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T01A039, June 10–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2019-3035
https://doi.org/10.1115/MSEC2019-3035
View Paper titled, Design Rules and In-Situ Quality Monitoring of Thin-Wall Features Made Using Laser Powder Bed Fusion
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Topics: Additive manufacturing, Design, Lasers, Thin wall structures
Proceedings Papers

Image-Guided Variant Geometry Analysis of Layerwise Build Quality in Additive Manufacturing

Farhad Imani, Ruimin Chen, Evan Diewald, Edward Reutzel, Hui Yang
Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T02A041, June 10–14, 2019
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2019-3002
https://doi.org/10.1115/MSEC2019-3002
View Paper titled, Image-Guided Variant Geometry Analysis of Layerwise Build Quality in Additive Manufacturing
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Topics: Additive manufacturing, Artificial neural networks, Geometry
Journal Articles

Deep Learning of Variant Geometry in Layerwise Imaging Profiles for Additive Manufacturing Quality Control

Farhad Imani, Ruimin Chen, Evan Diewald, Edward Reutzel, Hui Yang
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. November 2019, 141(11): 111001.
Paper No: MANU-19-1185
https://doi.org/10.1115/1.4044420
Published Online: September 18, 2019
View Article titled, Deep Learning of Variant Geometry in Layerwise Imaging Profiles for Additive Manufacturing Quality Control
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Topics: Additive manufacturing, Artificial neural networks, Geometry, Imaging, Process monitoring, Quality control, Shapes, Flaw detection, Computer-aided design, Machinery
Journal Articles

Joint Multifractal and Lacunarity Analysis of Image Profiles for Manufacturing Quality Control

Farhad Imani, Bing Yao, Ruimin Chen, Prahalad Rao, Hui Yang
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research-Article
J. Manuf. Sci. Eng. April 2019, 141(4): 044501.
Paper No: MANU-18-1168
https://doi.org/10.1115/1.4042579
Published Online: February 27, 2019
View Article titled, Joint Multifractal and Lacunarity Analysis of Image Profiles for Manufacturing Quality Control
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Topics: Finishes, Fractals, Manufacturing, Process monitoring, Quality control, Spectra (Spectroscopy), Additive manufacturing, Imaging, Machining, Dimensions
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
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Topics: Fractals, Manufacturing, Pattern recognition, Additive manufacturing, Machining, Biomanufacturing, Dynamics (Mechanics), Finishes, Imaging, Manufacturing industry