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Proceedings Papers

Cutting Tool Wear Estimation Using a Genetic Algorithm Based Long Short-Term Memory Neural Network

Wennian Yu, Chris K. Mechefske, Il Yong Kim
Proc. ASME. IDETC-CIE2018, Volume 8: 30th Conference on Mechanical Vibration and Noise, V008T10A037, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85253
https://doi.org/10.1115/DETC2018-85253
View Paper titled, Cutting Tool Wear Estimation Using a Genetic Algorithm Based Long Short-Term Memory Neural Network
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Topics: Artificial neural networks, Cutting tools, Genetic algorithms, Wear, Errors, Condition monitoring, Milling, Optimization, Product quality, Time series
Proceedings Papers

Stiffness Control of an Active Transtibial Prosthesis

Joseph G. Klein, Philip A. Voglewede
Proc. ASME. IDETC-CIE2018, Volume 5A: 42nd Mechanisms and Robotics Conference, V05AT07A060, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85455
https://doi.org/10.1115/DETC2018-85455
View Paper titled, Stiffness Control of an Active Transtibial Prosthesis
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Topics: Prostheses, Stiffness, Control equipment, Springs, Artificial neural networks, Engines, Motors, Robustness, Signals, Torque
Proceedings Papers

CTRNN Computing Realization Through Network of Coupled MEMS

Mehari K. Tesfay, Mohammad H. Hasan, Fadi Alsaleem, Mostafa Rafaie
Proc. ASME. IDETC-CIE2018, Volume 4: 23rd Design for Manufacturing and the Life Cycle Conference; 12th International Conference on Micro- and Nanosystems, V004T08A024, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85439
https://doi.org/10.1115/DETC2018-85439
View Paper titled, CTRNN Computing Realization Through Network of Coupled MEMS
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Topics: Microelectromechanical systems, Artificial neural networks, Energy consumption, Excitation, Limit cycles, Oscillations, Sensor networks, Weight (Mass)
Proceedings Papers

Knowledge-Based Optimization of Artificial Neural Network Topology for Process Modeling of Fused Deposition Modeling

Hari P. N. Nagarajan, Hesam Jafarian, Azarakhsh Hamedi, Hossein Mokhtarian, Romaric Prod'hon, Shaima Tilouche, Eric Coatanéa, Vladislav Nenchev
Proc. ASME. IDETC-CIE2018, Volume 4: 23rd Design for Manufacturing and the Life Cycle Conference; 12th International Conference on Micro- and Nanosystems, V004T05A027, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-86187
https://doi.org/10.1115/DETC2018-86187
View Paper titled, Knowledge-Based Optimization of Artificial Neural Network Topology for Process Modeling of Fused Deposition Modeling
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Topics: Artificial neural networks, Modeling, Optimization, Topology, Additive manufacturing, Dimensional analysis, Manufacturing, Noise (Sound)
Proceedings Papers

A Machine Learning Approach to Kinematic Synthesis of Defect-Free Planar Four-Bar Linkages

Shrinath Deshpande, Anurag Purwar
Proc. ASME. IDETC-CIE2018, Volume 5B: 42nd Mechanisms and Robotics Conference, V05BT07A078, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85578
https://doi.org/10.1115/DETC2018-85578
View Paper titled, A Machine Learning Approach to Kinematic Synthesis of Defect-Free Planar Four-Bar Linkages
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Topics: Kinematics, Linkages, Machine learning, Artificial neural networks, Databases, Optimization, Circuits, Conceptual design, Error functions, Errors
Proceedings Papers

Research and Experiment for Loading Control System of Power Wagon

Xianghai Yan, Zhili Zhou, Zhongli Li
Proc. ASME. IDETC-CIE2018, Volume 3: 20th International Conference on Advanced Vehicle Technologies; 15th International Conference on Design Education, V003T01A032, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85211
https://doi.org/10.1115/DETC2018-85211
View Paper titled, Research and Experiment for Loading Control System of Power Wagon
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Topics: Algorithms, Artificial neural networks, Brakes, Concretes, Control systems, Control theory, Delays, Dynamic analysis, Dynamic response, Matlab
Proceedings Papers

Development of a Pedestrian Collision Warning System Integrated Into Windscreen Pillars

D. V. Zeziulin, D. Y. Tyugin, A. V. Tumasov, A. M. Groshev, D. M. Porubov
Proc. ASME. IDETC-CIE2018, Volume 3: 20th International Conference on Advanced Vehicle Technologies; 15th International Conference on Design Education, V003T01A005, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85382
https://doi.org/10.1115/DETC2018-85382
View Paper titled, Development of a Pedestrian Collision Warning System Integrated Into Windscreen Pillars
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Topics: Collision avoidance systems, Columns (Structural), Vehicles, Collisions (Physics), Video cameras, Accidents, Artificial neural networks, Computers, Dimensions, Mirrors
Proceedings Papers

Investigation of Neural-Network-Based Inverse Kinematics for a 6-DOF Serial Manipulator With Non-Spherical Wrist

Benjamin E. Hargis, Wesley A. Demirjian, Matthew W. Powelson, Stephen L. Canfield
Proc. ASME. IDETC-CIE2018, Volume 5B: 42nd Mechanisms and Robotics Conference, V05BT07A048, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-86093
https://doi.org/10.1115/DETC2018-86093
View Paper titled, Investigation of Neural-Network-Based Inverse Kinematics for a 6-DOF Serial Manipulator With Non-Spherical Wrist
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Topics: Kinematics, Manipulators, Artificial neural networks, Errors, Density, End effectors, Matlab, Robots, Testing, Trains
Proceedings Papers

Vision-Based Hand Gesture Recognition With Deep Machine Learning for Visual Servoing

Abdulrahman Al-Shanoon, Haoxiang Lang, Ying Wang
Proc. ASME. IDETC-CIE2018, Volume 5B: 42nd Mechanisms and Robotics Conference, V05BT07A050, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-86186
https://doi.org/10.1115/DETC2018-86186
View Paper titled, Vision-Based Hand Gesture Recognition With Deep Machine Learning for Visual Servoing
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Topics: Machine learning, Robot motion, Artificial neural networks, End effectors, Feedforward control, Motion control, Robots, Sensors
Proceedings Papers

Liquid State Machine to Generate the Movement Profiles for the Gait Cycle of a 6 DOF Bipedal Robot in a Sagittal Plane

Jesús Franco-Robles, Alejandro De Lucio-Rangel, Karla A. Camarillo-Gómez, Gerardo I. Pérez-Soto, Jesús Rivera-Guillén
Proc. ASME. IDETC-CIE2018, Volume 5B: 42nd Mechanisms and Robotics Conference, V05BT07A027, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-86206
https://doi.org/10.1115/DETC2018-86206
View Paper titled, Liquid State Machine to Generate the Movement Profiles for the Gait Cycle of a 6 DOF Bipedal Robot in a Sagittal Plane
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Topics: Cycles, Machinery, Robots, Trajectories (Physics), Artificial neural networks, Kinematics, Multilayer perceptron, Simulation, Time series
Proceedings Papers

Optimization of the Case Depth of a Cylinder Made With 4340 Steel by a Control of the Laser Heat Treatment Parameters

Rachid Fakir, Noureddine Barka, Jean Brousseau
Proc. ASME. IDETC-CIE2018, Volume 1A: 38th Computers and Information in Engineering Conference, V01AT02A041, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85574
https://doi.org/10.1115/DETC2018-85574
View Paper titled, Optimization of the Case Depth of a Cylinder Made With 4340 Steel by a Control of the Laser Heat Treatment Parameters
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Topics: Cylinders, Heat treating (Metalworking), Lasers, Optimization, Steel, Temperature, Computer simulation, Artificial neural networks, Finite element methods, Heat
Proceedings Papers

A Super-Metamodeling Framework to Optimize System Predictability

Zhuo Yang, Douglas Eddy, Sundar Krishnamurty, Ian Grosse, Yan Lu
Proc. ASME. IDETC-CIE2018, Volume 1A: 38th Computers and Information in Engineering Conference, V01AT02A009, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-86055
https://doi.org/10.1115/DETC2018-86055
View Paper titled, A Super-Metamodeling Framework to Optimize System Predictability
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Topics: Additive manufacturing, Artificial neural networks, Composite materials, Design, Engineering systems and industry applications, Errors, Manufacturing, Optimization, Polynomials
Proceedings Papers

Knowledge-Based Artificial Neural Network (KB-ANN) in Engineering: Associating Functional Architecture Modeling, Dimensional Analysis and Causal Graphs to Produce Optimized Topologies for KB-ANNs

Eric Coatanéa, Vadim Tsarkov, Siddhant Modi, Di Wu, G. Gary Wang, Hesam Jafarian
Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A020, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85895
https://doi.org/10.1115/DETC2018-85895
View Paper titled, Knowledge-Based Artificial Neural Network (KB-ANN) in Engineering: Associating Functional Architecture Modeling, Dimensional Analysis and Causal Graphs to Produce Optimized Topologies for KB-ANNs
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Topics: Artificial neural networks, Dimensional analysis, Modeling, Topology, Additive manufacturing, Design, Engineering systems and industry applications, Errors
Proceedings Papers

Method of Emerging Delight Design Based on KANSEI

Yukako Tanaka, Hideki Aoyama
Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A001, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85736
https://doi.org/10.1115/DETC2018-85736
View Paper titled, Method of Emerging Delight Design Based on KANSEI
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Topics: Design, Shapes, Artificial neural networks, Manufacturing technology, Product design, Product development
Proceedings Papers

A Deep Learning Model for Mining Object-Energy Correlations Using Social Media Image Data

Matthew Dering, Chonghan Lee, Kenneth M. Hopkinson, Conrad S. Tucker
Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A017, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85417
https://doi.org/10.1115/DETC2018-85417
View Paper titled, A Deep Learning Model for Mining Object-Energy Correlations Using Social Media Image Data
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Topics: Artificial neural networks, Energy consumption, Mining, Motorcycles
Proceedings Papers

Short-Term Load Forecasting With Different Aggregation Strategies

Cong Feng, Jie Zhang
Proc. ASME. IDETC-CIE2018, Volume 2A: 44th Design Automation Conference, V02AT03A019, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-86084
https://doi.org/10.1115/DETC2018-86084
View Paper titled, Short-Term Load Forecasting With Different Aggregation Strategies
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Topics: Load forecasting, Stress, Algorithms, Artificial neural networks, Machine learning, Machinery, Power systems (Machinery), Robustness, Structures, Support vector machines
Proceedings Papers

Predicting Manufactured Shapes of a Projection Micro-Stereolithography Process via Convolutional Encoder-Decoder Networks

Yusen He, Fan Fei, Wenbo Wang, Xuan Song, Zhiyu Sun, Stephen Baek
Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A033, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85458
https://doi.org/10.1115/DETC2018-85458
View Paper titled, Predicting Manufactured Shapes of a Projection Micro-Stereolithography Process via Convolutional Encoder-Decoder Networks
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Topics: Shapes, Stereolithography, Manufacturing, Design, Errors, Artificial neural networks, Engineers, Performance, Uncertainty
Proceedings Papers

An Automatic Interaction Method Using Part Recognition Based on Deep Network for Augmented Reality Assembly Guidance

Xuyue Yin, Xiumin Fan, Jiajie Wang, Rui Liu, Qiang Wang
Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A018, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85810
https://doi.org/10.1115/DETC2018-85810
View Paper titled, An Automatic Interaction Method Using Part Recognition Based on Deep Network for Augmented Reality Assembly Guidance
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Topics: Manufacturing, Artificial neural networks, Neural network models
Proceedings Papers

High Degree of Freedom Hand Pose Tracking Using Limited Strain Sensing and Optical Training

Wentai Zhang, Jonelle Z. Yu, Fangcheng Zhu, Yifang Zhu, Nurcan Gecer Ulu, Batuhan Arisoy, Levent Burak Kara
Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A019, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85870
https://doi.org/10.1115/DETC2018-85870
View Paper titled, High Degree of Freedom Hand Pose Tracking Using Limited Strain Sensing and Optical Training
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Topics: Artificial neural networks, Control equipment, Degrees of freedom, Feedforward control, Manufacturing, Optimization, Sensors, Strain gages, Strain sensors, Support vector machines
Proceedings Papers

A Physics-Based Virtual Environment for Enhancing the Quality of Deep Generative Designs

Matthew Dering, James Cunningham, Raj Desai, Michael A. Yukish, Timothy W. Simpson, Conrad S. Tucker
Proc. ASME. IDETC-CIE2018, Volume 2A: 44th Design Automation Conference, V02AT03A015, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-86333
https://doi.org/10.1115/DETC2018-86333
View Paper titled, A Physics-Based Virtual Environment for Enhancing the Quality of Deep Generative Designs
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Topics: Physics, Virtual reality, Design, Artificial neural networks, Boats, Computers, Errors, Machinery, Probability, Simulation