Search Results | IDETC-CIE | ASME Digital Collection

Proc. ASME. DETC95, Volume 3C: 15th Biennial Conference on Mechanical Vibration and Noise — Vibration Control, Analysis, and Identification, 999-1004, September 17–20, 1995

Paper No: DETC1995-0670

DOI: https://doi.org/10.1115/DETC1995-0670

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Topics: Algorithms, Errors, Regression models

Proceedings Papers

Optimal Experimental Setpoint Determination in Systems With Multiple Output Responses

Sudhendu Rai

Proc. ASME. DETC98, Volume 3: 10th International Conference on Design Theory and Methodology, V003T03A031, September 13–16, 1998

Paper No: DETC98/DTM-5678

DOI: https://doi.org/10.1115/DETC98/DTM-5678

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Topics: Design, Engineering systems and industry applications, Noise (Sound), Pareto optimization, Regression models, Signal to noise ratio, Simulated annealing, Splines

Proceedings Papers

Application of Vague Geometric Representation for Shape Instance Generation of the Human Body

Niels C. C. M. Moes, Zoltán Rusák, Imre Horváth

Proc. ASME. IDETC-CIE2001, Volume 1: 21st Computers and Information in Engineering Conference, 651-665, September 9–12, 2001

Paper No: DETC2001/CIE-21298

DOI: https://doi.org/10.1115/DETC2001/CIE-21298

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Topics: Shapes, Construction, Finite element analysis, Mirrors, Regression models, Statistical analysis

Proceedings Papers

A Comparison of Polynomial Based Regression Models in Vehicle Safety Analysis

Lei Gu

Proc. ASME. IDETC-CIE2001, Volume 2A: 27th Design Automation Conference, 509-514, September 9–12, 2001

Paper No: DETC2001/DAC-21063

DOI: https://doi.org/10.1115/DETC2001/DAC-21063

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Topics: Polynomials, Regression models, Safety, Vehicles, Design, Finite element analysis, Simulation, Algorithms, Gages, Optimization

Proceedings Papers

Approximation of the Step-to-Step Dynamics Enables Computationally Efficient and Fast Optimal Control of Legged Robots

Pranav A. Bhounsule, Myunghee Kim, Adel Alaeddini

Proc. ASME. IDETC-CIE2020, Volume 10: 44th Mechanisms and Robotics Conference (MR), V010T10A050, August 17–19, 2020

Paper No: DETC2020-22028

DOI: https://doi.org/10.1115/DETC2020-22028

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Topics: Approximation, Dynamics (Mechanics), Optimal control, Robots, Regression models, Stability, Artificial neural networks, Equations of motion, Optimization, Pendulums

Proceedings Papers

Prediction of Nitrogen Concentration in Fuel Cells Using Data-Driven Modeling

Tong Lin, Leiming Hu, Shawn Litster, Levent Burak Kara

Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A012, August 18–21, 2019

Paper No: DETC2019-98477

DOI: https://doi.org/10.1115/DETC2019-98477

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Topics: Fuel cells, Modeling, Nitrogen, Anodes, Machine learning, Proton exchange membrane fuel cells, Computational fluid dynamics, Engineering simulation, Gases, Generators

Proceedings Papers

A New Robustness Metric for Robust Design Optimization Under Time- and Space-Dependent Uncertainty Through Metamodeling

Xinpeng Wei, Xiaoping Du

Proc. ASME. IDETC-CIE2019, Volume 2B: 45th Design Automation Conference, V02BT03A021, August 18–21, 2019

Paper No: DETC2019-97611

DOI: https://doi.org/10.1115/DETC2019-97611

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Topics: Design, Optimization, Robustness, Uncertainty, Engineering systems and industry applications, Regression models

Proceedings Papers

Predicting Purchase Orders Delivery Times Using Regression Models With Dimension Reduction

Jundi Liu, Steven Hwang, Walter Yund, Linda Ng Boyle, Ashis G. Banerjee

Proc. ASME. IDETC-CIE2018, Volume 1B: 38th Computers and Information in Engineering Conference, V01BT02A034, August 26–29, 2018

Paper No: DETC2018-85710

DOI: https://doi.org/10.1115/DETC2018-85710

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Topics: Dimensions, Regression models, Errors, Machine learning, Raw materials, Supply chains

Proceedings Papers

Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty

Yining Wang, Erva Ulu, Aarti Singh, Levent Burak Kara

Proc. ASME. IDETC-CIE2018, Volume 2A: 44th Design Automation Conference, V02AT03A016, August 26–29, 2018

Paper No: DETC2018-85310

DOI: https://doi.org/10.1115/DETC2018-85310

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Topics: Stress, Structural analysis, Uncertainty, Algorithms, Errors, Experimental design, Finite element analysis, Geometry, Regression models, Structural design

Proceedings Papers

Modeling Shear Performance of High-Speed Ridged Nail in Aluminum Joints

Sundeep Krishna Siripurapu, Anthony F. Luscher

Proc. ASME. IDETC-CIE2017, Volume 2B: 43rd Design Automation Conference, V02BT03A011, August 6–9, 2017

Paper No: DETC2017-68309

DOI: https://doi.org/10.1115/DETC2017-68309

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Topics: Aluminum, Modeling, Shear (Mechanics), Automotive industry, Joining, Corporate average fuel economy, Engineering simulation, Failure, Finite element analysis, Fuel efficiency

Proceedings Papers

Calibration and Validation of a Time-Dependent Temperature Field Model for Steel Slabs in a Reheating Furnace

Xiaoxu Dong, Zhimin Xi, Jian Shao, Anrui He

Proc. ASME. IDETC-CIE2017, Volume 1: 37th Computers and Information in Engineering Conference, V001T02A089, August 6–9, 2017

Paper No: DETC2017-68429

DOI: https://doi.org/10.1115/DETC2017-68429

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Topics: Calibration, Furnaces, Intermediate steel products, Temperature, Materials properties, Model validation, Quality control, Steel, Temperature control, Uncertainty

Proceedings Papers

A Generalized Method for Featurization of Manufacturing Signals, With Application to Tool Condition Monitoring

Max Ferguson, Kincho H. Law, Raunak Bhinge, Yung-Tsun Tina Lee

Proc. ASME. IDETC-CIE2017, Volume 1: 37th Computers and Information in Engineering Conference, V001T02A077, August 6–9, 2017

Paper No: DETC2017-67987

DOI: https://doi.org/10.1115/DETC2017-67987

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Topics: Condition monitoring, Manufacturing, Signals, Milling, Computer numerical control machine tools, Computers, Control equipment, Fourier transforms, Machine learning, Machinery

Proceedings Papers

Identifying the Relations Between Product Features and Sales Rank From Online Reviews

Dedy Suryadi, Harrison Kim

Proc. ASME. IDETC-CIE2016, Volume 2A: 42nd Design Automation Conference, V02AT03A015, August 21–24, 2016

Paper No: DETC2016-60481

DOI: https://doi.org/10.1115/DETC2016-60481

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Topics: Sales, Calories, Design, Regression models

Proceedings Papers

Reliability Based Design Optimization by Using a SLP Approach and Radial Basis Function Networks

Niclas Strömberg

Proc. ASME. IDETC-CIE2016, Volume 2B: 42nd Design Automation Conference, V02BT03A027, August 21–24, 2016

Paper No: DETC2016-59522

DOI: https://doi.org/10.1115/DETC2016-59522

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Topics: Radial basis function networks, Reliability-based optimization, Reliability, Algorithms, Engineering simulation, Finite element analysis, Interpolation, Linear programming, Newton's method, Optimization

Proceedings Papers

Model Bias Characterization Considering Discrete and Continuous Design Variables

Xiangxue Zhao, Zhimin Xi, Hongyi Xu, Ren-Jye Yang

Proc. ASME. IDETC-CIE2016, Volume 2B: 42nd Design Automation Conference, V02BT03A053, August 21–24, 2016

Paper No: DETC2016-60109

DOI: https://doi.org/10.1115/DETC2016-60109

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Topics: Design, Modeling, Errors, Regression models, Approximation, Simulation models

Proceedings Papers

Online Estimation of Lithium-Ion Battery Capacity Using Sparse Bayesian Learning

Chao Hu, Gaurav Jain, Craig Schmidt, Carrie Strief, Melani Sullivan

Proc. ASME. IDETC-CIE2015, Volume 2A: 41st Design Automation Conference, V02AT03A039, August 2–5, 2015

Paper No: DETC2015-46964

DOI: https://doi.org/10.1115/DETC2015-46964

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Topics: Lithium-ion batteries, Medical devices, Batteries, Energy storage, Lithium, Machinery, Regression models, Reliability, Secondary cells

Proceedings Papers

Predictive Modeling Techniques to Forecast Energy Demand in the United States: A Focus on Economic and Demographic Factors

Angshuman Deka, Nima Hamta, Behzad Esmaeilian, Sara Behdad

Proc. ASME. IDETC-CIE2015, Volume 4: 20th Design for Manufacturing and the Life Cycle Conference; 9th International Conference on Micro- and Nanosystems, V004T05A027, August 2–5, 2015

Paper No: DETC2015-47474

DOI: https://doi.org/10.1115/DETC2015-47474

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Topics: Artificial neural networks, Decision making, Modeling, Package on package, Regression analysis, Regression models

Proceedings Papers

Patterns of Creative Design: Predicting Ideation From Problem Formulation

Mahmoud Dinar, Yong-Seok Park, Jami J. Shah, Pat Langley

Proc. ASME. IDETC-CIE2015, Volume 7: 27th International Conference on Design Theory and Methodology, V007T06A006, August 2–5, 2015

Paper No: DETC2015-46537

DOI: https://doi.org/10.1115/DETC2015-46537

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Topics: Creativity, Design, Graduate students, Performance, Product design, Regression models

NARROW

Uncertainty Quantification of Physics-Based Label-Free Deep Learning and Probabilistic Prediction of Extreme Events

Multiscale Topology Optimization With Gaussian Process Regression Models

Convergence and Large Deviations in a Bayesian Approach to Functional Estimation Problems

Optimal Experimental Setpoint Determination in Systems With Multiple Output Responses

Application of Vague Geometric Representation for Shape Instance Generation of the Human Body

A Comparison of Polynomial Based Regression Models in Vehicle Safety Analysis

Approximation of the Step-to-Step Dynamics Enables Computationally Efficient and Fast Optimal Control of Legged Robots

Prediction of Nitrogen Concentration in Fuel Cells Using Data-Driven Modeling

A New Robustness Metric for Robust Design Optimization Under Time- and Space-Dependent Uncertainty Through Metamodeling

Predicting Purchase Orders Delivery Times Using Regression Models With Dimension Reduction

Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty

Modeling Shear Performance of High-Speed Ridged Nail in Aluminum Joints

Calibration and Validation of a Time-Dependent Temperature Field Model for Steel Slabs in a Reheating Furnace

A Generalized Method for Featurization of Manufacturing Signals, With Application to Tool Condition Monitoring

Identifying the Relations Between Product Features and Sales Rank From Online Reviews

Reliability Based Design Optimization by Using a SLP Approach and Radial Basis Function Networks

Model Bias Characterization Considering Discrete and Continuous Design Variables

Online Estimation of Lithium-Ion Battery Capacity Using Sparse Bayesian Learning

Predictive Modeling Techniques to Forecast Energy Demand in the United States: A Focus on Economic and Demographic Factors

Patterns of Creative Design: Predicting Ideation From Problem Formulation

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