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Journal Articles

Design of Digital Twin Sensing Strategies Via Predictive Modeling and Interpretable Machine Learning

Michael G. Kapteyn, Karen E. Willcox

J. Mech. Des. September 2022, 144(9): 091710.

Paper No: MD-22-1059

DOI: https://doi.org/10.1115/1.4054907

Published Online: August 5, 2022

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Topics: Digital twin, Sensors, Unmanned aerial vehicles, Design

Journal Articles

Building a Lightweight Digital Twin of a Crane Boom for Structural Safety Monitoring Based on a Multifidelity Surrogate Model

Xiaonan Lai, Xiwang He, Shuo Wang, Xiaobang Wang, Wei Sun, Xueguan Song

J. Mech. Des. June 2022, 144(6): 064502.

Paper No: MD-21-1157

DOI: https://doi.org/10.1115/1.4053606

Published Online: February 15, 2022

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Topics: Cranes, Digital twin, Safety, Sensors, Stress

Journal Articles

Building a Trustworthy Product-Level Shape-Performance Integrated Digital Twin With Multifidelity Surrogate Model

Shuo Wang, Xiaonan Lai, Xiwang He, Yiming Qiu, Xueguan Song

J. Mech. Des. March 2022, 144(3): 031703.

Paper No: MD-21-1271

DOI: https://doi.org/10.1115/1.4052390

Published Online: October 1, 2021

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Topics: Computer simulation, Digital twin, Simulation, Stress, Trusses (Building), Visualization, Simulation results, Shapes, Sensors

Journal Articles

A Model-Based Method for System Reconfiguration

Lara Qasim, Andreas Makoto Hein, Sorin Olaru, Jean-Luc Garnier, Marija Jankovic

J. Mech. Des. January 2022, 144(1): 011706.

Paper No: MD-20-1796

DOI: https://doi.org/10.1115/1.4051889

Published Online: August 12, 2021

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Topics: Chain, Design, System architecture, Sensors, Complex systems, Reliability

Includes: Supplementary data

Journal Articles

Fault-Tolerant Control of Programmable Logic Controller-Based Production Systems With Deep Reinforcement Learning

Jonas Zinn, Birgit Vogel-Heuser, Marius Gruber

J. Mech. Des. July 2021, 143(7): 072004.

Paper No: MD-20-1650

DOI: https://doi.org/10.1115/1.4050624

Published Online: April 8, 2021

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Topics: Actuators, Algorithms, Cranes, Manufacturing systems, Reinforcement learning, Simulation, Space, Control equipment, Sensors, Multi-agent systems

Journal Articles

Barriers for Industrial Sensor Integration Design—An Exploratory Interview Study

Herle Bagh Juul-Nyholm, Martin Ebro, Tobias Eifler

J. Mech. Des. July 2021, 143(7): 074501.

Paper No: MD-20-1732

DOI: https://doi.org/10.1115/1.4050078

Published Online: March 15, 2021

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Topics: Design, Sensors

Journal Articles

Designing a Shape–Performance Integrated Digital Twin Based on Multiple Models and Dynamic Data: A Boom Crane Example

Xiaonan Lai, Shuo Wang, Zhenggang Guo, Chao Zhang, Wei Sun, Xueguan Song

J. Mech. Des. July 2021, 143(7): 071703.

Paper No: MD-20-1644

DOI: https://doi.org/10.1115/1.4049861

Published Online: February 5, 2021

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Topics: Cranes, Sensors, Design, Shapes, Computer simulation, Finite element model, Stress

Journal Articles

Online Data-Driven Prediction of Spatio-Temporal System Behavior Using High-Fidelity Simulations and Sparse Sensor Measurements

X. Zhao, S. Azarm, B. Balachandran

J. Mech. Des. February 2021, 143(2): 021701.

Paper No: MD-20-1012

DOI: https://doi.org/10.1115/1.4047690

Published Online: August 18, 2020

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Topics: Dimensions, Sensors, Simulation, Wings, Modeling, Errors, Particulate matter, Aircraft, Tensors

Journal Articles

Combining Direct and Indirect User Data for Calculating Social Impact Indicators of Products in Developing Countries

Bryan J. Stringham, Daniel O. Smith, Christopher A. Mattson, Eric C. Dahlin

J. Mech. Des. December 2020, 142(12): 121401.

Paper No: MD-19-1904

DOI: https://doi.org/10.1115/1.4047433

Published Online: August 4, 2020

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Topics: Pumps, Water, Artificial neural networks, Sensors, Developing nations

Journal Articles

Optimal Sensor Placement Methods in Active High Power Density Electronic Systems With Experimental Validation

Satya R. T. Peddada, Pamela J. Tannous, Andrew G. Alleyne, James T. Allison

J. Mech. Des. February 2020, 142(2): 023501.

Paper No: MD-19-1015

DOI: https://doi.org/10.1115/1.4044744

Published Online: October 30, 2019

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Topics: Capacitors, Design, Electronic systems, Optimization, Sensor placement, Sensors, Temperature, Relaxation (Physics), Power density, Heat

Includes: Supplementary data

Journal Articles

Cyber-Empathic Design: A Data-Driven Framework for Product Design

Dipanjan Ghosh, Andrew Olewnik, Kemper Lewis, Junghan Kim, Arun Lakshmanan

J. Mech. Des. September 2017, 139(9): 091401.

Paper No: MD-16-1658

DOI: https://doi.org/10.1115/1.4036780

Published Online: July 12, 2017

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Topics: Design, Sensors, Product design

Journal Articles

A Comprehensive Survey on Microgrippers Design: Operational Strategy

Alden Dochshanov, Matteo Verotti, Nicola P. Belfiore

J. Mech. Des. July 2017, 139(7): 070801.

Paper No: MD-16-1536

DOI: https://doi.org/10.1115/1.4036352

Published Online: May 10, 2017

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Topics: Actuators, Design, Displacement, Microelectromechanical systems, Sensors, Manufacturing, Manganese (Metal), Temperature

Journal Articles

Designing Multi-Axis Force–Torque Sensors by Minimizing the Amplitudes of Their Nonlinear Displacements

R. Bekhti, P. Cardou, V. Duchaine

J. Mech. Des. March 2016, 138(3): 032302.

Paper No: MD-15-1513

DOI: https://doi.org/10.1115/1.4032401

Published Online: January 20, 2016

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Topics: Compliant mechanisms, Design, Errors, Force sensors, Optimization, Sensors, Torque, Geometry, Kinematics, Displacement

Journal Articles

Fatigue Design Load Identification Using Engineering Data Analytics

Ha-Rok Bae, Hiroaki Ando, Sangjeong Nam, Sangkyum Kim, Christopher Ha

J. Mech. Des. January 2015, 137(1): 011001.

Paper No: MD-13-1405

DOI: https://doi.org/10.1115/1.4027849

Published Online: January 1, 2015

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Topics: Fatigue, Sensors, Stress, Damage, Fatigue design

Journal Articles

An Optimization Approach to Teleoperation of the Thumb of a Humanoid Robot Hand: Kinematic Mapping and Calibration

Lei Cui, Ugo Cupcic, Jian S. Dai

J. Mech. Des. September 2014, 136(9): 091005.

Paper No: MD-13-1483

DOI: https://doi.org/10.1115/1.4027759

Published Online: June 13, 2014

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Topics: Calibration, Kinematics, Optimization, Robotics, Sensors, Shades and shadows, End effectors, Hardware, Robots, Computers

Journal Articles

A Comparative Study of Evidence Theories in the Modeling, Analysis, and Design of Engineering Systems

S. S. Rao, K. K. Annamdas

J. Mech. Des. June 2013, 135(6): 061006.

Paper No: MD-12-1297

DOI: https://doi.org/10.1115/1.4024229

Published Online: May 9, 2013

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Topics: Design, Engineering systems and industry applications, Failure, Ignorance, Modeling analysis, Power stations, Probability, Safety engineering, Sensors, Uncertainty

Journal Articles

Development of the Reconfigurable Data Acquisition Vehicle for Bio-Energy Crop Sensing and Management

Yonghua Xiong, Lei Tian, Tofael Ahamed, Bin Zhao

J. Mech. Des. January 2012, 134(1): 015001.

DOI: https://doi.org/10.1115/1.4004914

Published Online: January 5, 2012

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Topics: Data acquisition, Engineering prototypes, Vehicles, Wheels, Bioenergy conversion, Soil, Gages, Clearances (Engineering), Sensors, Mobile robots

Journal Articles

Design of Adaptive and Controllable Compliant Systems With Embedded Actuators and Sensors

Brian Trease, Sridhar Kota

J. Mech. Des. November 2009, 131(11): 111001.

DOI: https://doi.org/10.1115/1.3149848

Published Online: October 6, 2009

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Topics: Actuators, Design, Sensors, Stress

Journal Articles

Active Vibration Control and Isolation for Micromachined Devices

Seong Jin Kim, Robert Dean, George Flowers, Chen Chen

J. Mech. Des. September 2009, 131(9): 091002.

DOI: https://doi.org/10.1115/1.3159042

Published Online: August 17, 2009

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Topics: Damping, Electrodes, Electrostatic actuators, Feedback, Filters, Microelectromechanical systems, Micromachining, Sensors, Vibration isolation, Vibration isolators

Journal Articles

Evaluation and Design of Displacement-Amplifying Compliant Mechanisms for Sensor Applications

Girish Krishnan, G. K. Ananthasuresh

J. Mech. Des. October 2008, 130(10): 102304.

DOI: https://doi.org/10.1115/1.2965599

Published Online: September 9, 2008

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Topics: Accelerometers, Design, Displacement, Force sensors, Optimization, Sensors, Topology, Micromachining, Compliant mechanisms, Springs

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Journal citation

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Supplemental Material

Design of Digital Twin Sensing Strategies Via Predictive Modeling and Interpretable Machine Learning

Building a Lightweight Digital Twin of a Crane Boom for Structural Safety Monitoring Based on a Multifidelity Surrogate Model

Building a Trustworthy Product-Level Shape-Performance Integrated Digital Twin With Multifidelity Surrogate Model

A Model-Based Method for System Reconfiguration

Fault-Tolerant Control of Programmable Logic Controller-Based Production Systems With Deep Reinforcement Learning

Barriers for Industrial Sensor Integration Design—An Exploratory Interview Study

Designing a Shape–Performance Integrated Digital Twin Based on Multiple Models and Dynamic Data: A Boom Crane Example

Online Data-Driven Prediction of Spatio-Temporal System Behavior Using High-Fidelity Simulations and Sparse Sensor Measurements

Combining Direct and Indirect User Data for Calculating Social Impact Indicators of Products in Developing Countries

Optimal Sensor Placement Methods in Active High Power Density Electronic Systems With Experimental Validation

Cyber-Empathic Design: A Data-Driven Framework for Product Design

A Comprehensive Survey on Microgrippers Design: Operational Strategy

Designing Multi-Axis Force–Torque Sensors by Minimizing the Amplitudes of Their Nonlinear Displacements

Fatigue Design Load Identification Using Engineering Data Analytics

An Optimization Approach to Teleoperation of the Thumb of a Humanoid Robot Hand: Kinematic Mapping and Calibration

A Comparative Study of Evidence Theories in the Modeling, Analysis, and Design of Engineering Systems

Development of the Reconfigurable Data Acquisition Vehicle for Bio-Energy Crop Sensing and Management

Design of Adaptive and Controllable Compliant Systems With Embedded Actuators and Sensors

Active Vibration Control and Isolation for Micromachined Devices

Evaluation and Design of Displacement-Amplifying Compliant Mechanisms for Sensor Applications

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