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Proceedings Papers

Deploying Machine Learning (ML) for Improving Reliability and Resiliency of Thermal Energy Storage (TES) Platforms by Leveraging Phase Change Materials (PCM) for Sustainability Applications and Mitigating Food-Energy-Water (FEW) Nexus

Pinjala Sai Sudhir, Gangchen Ren, Aditya Chuttar, Nandan Shettigar, Debjyoti Banerjee

Proc. ASME. IMECE2022, Volume 8: Fluids Engineering; Heat Transfer and Thermal Engineering, V008T11A007, October 30–November 3, 2022

Paper No: IMECE2022-97121

DOI: https://doi.org/10.1115/IMECE2022-97121

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Topics: Artificial neural networks, Food products, Machine learning, Phase change materials, Reliability, Resilience, Sustainability, Thermal energy storage, Water, Temperature

Proceedings Papers

Artificial Neural Network for Automatic Prediction of the Surface Finishing via Classification of the Surface Texture

Hassan Alqahtani, Asok Ray

Proc. ASME. IMECE2022, Volume 9: Mechanics of Solids, Structures, and Fluids; Micro- and Nano-Systems Engineering and Packaging; Safety Engineering, Risk, and Reliability Analysis; Research Posters, V009T14A013, October 30–November 3, 2022

Paper No: IMECE2022-94192

DOI: https://doi.org/10.1115/IMECE2022-94192

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Topics: Artificial neural networks, Surface finishing, Surface texture, Machining, Computer-aided design, Stress concentration, Surface roughness, Water jet cutting, Aluminum alloys, Artificial intelligence

Proceedings Papers

Intelligent Modelling and Machining Characteristics of Hybrid Machining for Hybrid Metal Matrix Composites

Janvita Reddy, Ram Singar Yadav

Proc. ASME. IMECE2022, Volume 2A: Advanced Manufacturing, V02AT02A043, October 30–November 3, 2022

Paper No: IMECE2022-95543

DOI: https://doi.org/10.1115/IMECE2022-95543

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Topics: Machining, Metal matrix composites, Modeling, Algorithms, Grinding, Machine learning, Artificial intelligence, Artificial neural networks, Composite materials, Diamonds

Proceedings Papers

Damaged Apple Detection Using Artificial Intelligence

Sathish K. Gurupatham, Caleb Bailey

Proc. ASME. IMECE2022, Volume 2B: Advanced Manufacturing, V02BT02A045, October 30–November 3, 2022

Paper No: IMECE2022-96162

DOI: https://doi.org/10.1115/IMECE2022-96162

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Topics: Artificial intelligence, Machine learning, Artificial neural networks, Algorithms, Mechanical engineering, Quality control, Assembly lines, Brain, Errors, Machine components

Proceedings Papers

Applying Artificial Intelligence to Optimize Small-Scale Ocean Current Turbine Performance

Shahab Rouhi, Setare Sadeqi, Nikolaos Xiros, Lothar Birk, Erdem Aktosun, Juliette Ioup

Proc. ASME. IMECE2022, Volume 5: Dynamics, Vibration, and Control, V005T07A067, October 30–November 3, 2022

Paper No: IMECE2022-95804

DOI: https://doi.org/10.1115/IMECE2022-95804

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Topics: Artificial intelligence, Engines, Experimental design, Fuzzy logic, Motors, Ocean currents, Turbines

Proceedings Papers

Monitoring Technology for Achieving Intelligent Grinding System

Ichiro Inasaki

Proc. ASME. IMECE97, Manufacturing Science and Engineering: Volume 1, 75-81, November 16–21, 1997

Paper No: IMECE1997-1078

DOI: https://doi.org/10.1115/IMECE1997-1078

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Topics: Grinding, Sensors, Wheels, Acoustic emissions, Monitoring systems, Abrasives, Artificial intelligence, Databases, Genetic algorithms, Reliability

Proceedings Papers

Planning and Acquisition of Real-Time Production Data Through the Virtual Factory in Chemical Industry

Tõnis Raamets, Kristo Karjust, Aigar Hermaste, Kashif Mahmood

Proc. ASME. IMECE2021, Volume 2B: Advanced Manufacturing, V02BT02A017, November 1–5, 2021

Paper No: IMECE2021-73080

DOI: https://doi.org/10.1115/IMECE2021-73080

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Topics: Algorithms, Artificial intelligence, Assembly lines, Chemical industry, Computer security, Computer software, Cycles, Data acquisition, Data collection, Hardware

Proceedings Papers

A Review of SQL vs NoSQL Database for Nuclear Reactor Digital Twin Applications: With Example MongoDB Based NoSQL Database for Digital Twin Model of a Pressurized-Water-Reactor Steam-Generator

Subhasish Mohanty, Thomas W. Elmer, Sasan Bakhtiari, Richard B. Vilim

Proc. ASME. IMECE2021, Volume 13: Safety Engineering, Risk, and Reliability Analysis; Research Posters, V013T14A003, November 1–5, 2021

Paper No: IMECE2021-73153

DOI: https://doi.org/10.1115/IMECE2021-73153

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Topics: Boilers, Databases, Nuclear reactors, Pressurized water reactors, Relational databases, Artificial intelligence, Eddies (Fluid dynamics), Eddy currents (Electricity), Heat transfer, Machine learning

Proceedings Papers

Robot Learning From Human Demonstration of Activities of Daily Living (ADL) Tasks

Urvish Trivedi, Redwan Alqasemi, Rajiv Dubey

Proc. ASME. IMECE2021, Volume 6: Design, Systems, and Complexity, V006T06A019, November 1–5, 2021

Paper No: IMECE2021-71643

DOI: https://doi.org/10.1115/IMECE2021-71643

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Topics: Robots, Trajectories (Physics), Artificial intelligence, Artificial neural networks, Doors, Feedforward control, Internet, Kinematics, Reinforcement learning, Reliability

Proceedings Papers

Intelligent Defect Diagnosis of Spiral Bevel Gears Under Different Operating Conditions Using ANN and KNN Classifiers

Syed Muhammad Tayyab, Paolo Pennacchi, Steven Chatterton, Eram Asghar

Proc. ASME. IMECE2021, Volume 7A: Dynamics, Vibration, and Control, V07AT07A051, November 1–5, 2021

Paper No: IMECE2021-70016

DOI: https://doi.org/10.1115/IMECE2021-70016

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Topics: Artificial intelligence, Artificial neural networks, Flaw detection, Spiral bevel gears

Proceedings Papers

Fuzzy Logic Semi-Active Vibration Control

Sunghwan Kim, William W. Clark

Proc. ASME. IMECE99, Adaptive Structures and Material Systems, 367-372, November 14–19, 1999

Paper No: IMECE1999-0564

DOI: https://doi.org/10.1115/IMECE1999-0564

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Topics: Fuzzy logic, Vibration control, Actuators, Fluids, Artificial intelligence, Computer simulation, Control equipment, Dampers, Energy consumption, Excitation

Proceedings Papers

Development of a System for Monitoring Tool Wear Using Artificial Intelligence Techniques

Rui. G. Silva, Steven J. Wilcox, Robert L. Reuben

Proc. ASME. IMECE2001, Dynamic Systems and Control, 57-64, November 11–16, 2001

Paper No: IMECE2001/DSC-24507

DOI: https://doi.org/10.1115/IMECE2001/DSC-24507

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Topics: Artificial intelligence, Wear, Artificial neural networks, Expert systems, Sensors, Condition monitoring, Cutting, Cutting tools, Machinery, Modular construction

Proceedings Papers

Thermodynamic Diagnosis of a Small Scale Gas Turbine With Neural Networks

Gianni Bidini, Francesco Fantozzi, Linda Barelli

Proc. ASME. IMECE2001, Advanced Energy Systems, 441-446, November 11–16, 2001

Paper No: IMECE2001/AES-23653

DOI: https://doi.org/10.1115/IMECE2001/AES-23653

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Topics: Artificial neural networks, Gas turbines, Artificial intelligence, Combustion, Compressors, Damage, Databases, Errors, Monitoring systems, Power stations

Proceedings Papers

Knowledge-Driven Based Performance Analysis of Robotic Manufacturing Cell for Design Improvement

Tavo Kangru, Kashif Mahmood, Tauno Otto, Madis Moor, Jüri Riives

Proc. ASME. IMECE2020, Volume 6: Design, Systems, and Complexity, V006T06A032, November 16–19, 2020

Paper No: IMECE2020-23541

DOI: https://doi.org/10.1115/IMECE2020-23541

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Topics: Artificial intelligence, Cycles, Decision making, Design, Flexible manufacturing systems, Manufacturing, Manufacturing cells, Modeling, Performance, Performance evaluation

Proceedings Papers

An Artificial Intelligence Approach to Real-Time Energy System Performance Monitoring Using Acoustic Signals

Valdir Aliati, Hameed Metghalchi, Jon Wallace

Proc. ASME. IMECE2020, Volume 8: Energy, V008T08A016, November 16–19, 2020

Paper No: IMECE2020-24195

DOI: https://doi.org/10.1115/IMECE2020-24195

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Topics: Acoustics, Artificial intelligence, Signals, Trains, Aircraft, Aircraft propulsion, Algorithms, Artificial neural networks, Climate change, Combustion

Proceedings Papers

The Acquisition and Management of Healthcare Data, Within a Hospital Infrastructure

James Darby-Taylor, Fernando Luís-Ferreira, João Sarraipa, Ricardo Jardim-Goncalves

Proc. ASME. IMECE2020, Volume 2B: Advanced Manufacturing, V02BT02A021, November 16–19, 2020

Paper No: IMECE2020-24120

DOI: https://doi.org/10.1115/IMECE2020-24120

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Topics: Artificial intelligence, Collaboration, Drugs, Health care, Transparency

Proceedings Papers

Heat Transfer Characteristics of a Train of Droplets Impinging Over a Hot Surface: From Film Evaporation to Leidenfrost Point

Ganesh Guggilla, Arvind Pattamatta, Ramesh Narayanaswamy

Proc. ASME. IMECE2019, Volume 8: Heat Transfer and Thermal Engineering, V008T09A030, November 11–14, 2019

Paper No: IMECE2019-11212

DOI: https://doi.org/10.1115/IMECE2019-11212

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Topics: Drops, Evaporation, Heat transfer, Trains, Cooling, Sprays, Temperature, Artificial intelligence, Computer cooling, Density

Proceedings Papers

Artificial Intelligence Based Architecture to Support Dementia Patients

Fernando Luís-Ferreira, João Sarraipa, Jorge Calado, Joana Andrade, Daniel Rodrigues, Ricardo Jardim Goncalves

Proc. ASME. IMECE2019, Volume 2B: Advanced Manufacturing, V02BT02A019, November 11–14, 2019

Paper No: IMECE2019-10985

DOI: https://doi.org/10.1115/IMECE2019-10985

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Topics: Artificial intelligence, Algorithms, Health care, Machine learning, Physiology

Proceedings Papers

Modelling the Motion of a 2-Arm ROV

Marius R. Saure, Sondre H. Iversen, Andreas B. Snekkevik, Rose Gebhardt, Zhiyang Chen, Christopher Mignano, Dirk Luchtenburg, Thomas J. Impelluso

Proc. ASME. IMECE2019, Volume 5: Engineering Education, V005T07A002, November 11–14, 2019

Paper No: IMECE2019-10282

DOI: https://doi.org/10.1115/IMECE2019-10282

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Topics: Modeling, Remotely operated vehicles, Fluids, Ocean engineering, Artificial intelligence, Collaboration, Computer software, Design, Engines, Machinery

Proceedings Papers

A Digital Twin Concept for Manufacturing Systems

Wesley Ellgass, Nathan Holt, Hector Saldana-Lemus, Julian Richmond, Ali Vatankhah Barenji, Germánico Gonzalez-Badillo

Proc. ASME. IMECE2018, Volume 2: Advanced Manufacturing, V002T02A073, November 9–15, 2018

Paper No: IMECE2018-87737

DOI: https://doi.org/10.1115/IMECE2018-87737

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Topics: Manufacturing systems, Manufacturing, Virtual reality, Artificial intelligence, Cloud computing, Internet, Optimization, Simulation

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NARROW

Deploying Machine Learning (ML) for Improving Reliability and Resiliency of Thermal Energy Storage (TES) Platforms by Leveraging Phase Change Materials (PCM) for Sustainability Applications and Mitigating Food-Energy-Water (FEW) Nexus

Artificial Neural Network for Automatic Prediction of the Surface Finishing via Classification of the Surface Texture

Intelligent Modelling and Machining Characteristics of Hybrid Machining for Hybrid Metal Matrix Composites

Damaged Apple Detection Using Artificial Intelligence

Applying Artificial Intelligence to Optimize Small-Scale Ocean Current Turbine Performance

Monitoring Technology for Achieving Intelligent Grinding System

Planning and Acquisition of Real-Time Production Data Through the Virtual Factory in Chemical Industry

A Review of SQL vs NoSQL Database for Nuclear Reactor Digital Twin Applications: With Example MongoDB Based NoSQL Database for Digital Twin Model of a Pressurized-Water-Reactor Steam-Generator

Robot Learning From Human Demonstration of Activities of Daily Living (ADL) Tasks

Intelligent Defect Diagnosis of Spiral Bevel Gears Under Different Operating Conditions Using ANN and KNN Classifiers

Fuzzy Logic Semi-Active Vibration Control

Development of a System for Monitoring Tool Wear Using Artificial Intelligence Techniques

Thermodynamic Diagnosis of a Small Scale Gas Turbine With Neural Networks

Knowledge-Driven Based Performance Analysis of Robotic Manufacturing Cell for Design Improvement

An Artificial Intelligence Approach to Real-Time Energy System Performance Monitoring Using Acoustic Signals

The Acquisition and Management of Healthcare Data, Within a Hospital Infrastructure

Heat Transfer Characteristics of a Train of Droplets Impinging Over a Hot Surface: From Film Evaporation to Leidenfrost Point

Artificial Intelligence Based Architecture to Support Dementia Patients

Modelling the Motion of a 2-Arm ROV

A Digital Twin Concept for Manufacturing Systems

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