Research on Digital-twin technology to enable pathway towards implementation of industry 4.0 standards as enterprise solution and bridges the gap of industry need and academic research.
Development of digital twin of an actuator (and possibly a 2DOF Robot) with the use of PTC ThingWorx and Vuforia.
Prediction of the motor’s current and future maximum temperature, preventive maintenance time, or the remaining life-time in real-time, based on the motor current.
Project Detail
Creation of a small testbed for digital twin implementation using ANSYS Twin Builder and deploy the Twin to PTC ThingWorx IIOT platform for performance analysis and predict the aging of a robotic manipulator.
Milestone-1: Experimental Setup Design (3 months)
Milestone-2: Physics-based high-fidelity model for the actuator (or a 2DOF robot) integrated with virtual sensors for calculating the motor winding’s temperature. The model will be able to generate simulated sensor data. Develop and validate a reduced-order model (ROM) and digital twin of the developed robot. (4 months)
Milestone-3: Deploy the twin to the PTC ThingWorx Platform to send/receive data from the Ansys Simulation Platform. (2 months)
Milestone-4: Evaluate the developed digital twin with a wide variety of loading to the actuator/robot against real world data. (3 months)
Target Outcomes
Digital Twin of an actuator (and possibly a custom designed 2DOF Robot);
This research will fill the technical gap between industry and academic research.
The associated team members will serve as a talent pool to translate industry level knowledge to academic training courses.
The acquired knowledge and learning from this project will serve as base for future graduate students to carry out research in Industry 4.0 platform.
Project Team
Dr. Mohammad Habib Rahman (Primary Investigator), Director, BioRobotics Lab
Preet Parag Modi, MS Student, UWM Mechanical Engineering, BioRobotics Lab
Md Mahafuzur Rahaman Khan, Undergraduate Student, MS Student, UWM Mechanical Engineering, BioRobotics Lab
Primary Investigator Biography
Dr. Mohammad Habib Rahman
Associate Professor
Biomedical Engineering, Mechanical Engineering
Director, BioRobotics Lab
Education
Ph.D. – Engineering, École de technologie supérieure, Université of Québec, Canada, 2012
M. Engg. – Mechanical Engineering, Saga University, Japan, 2005
B. Sc. – Mechanical Engineering, Khulna University of Engineering & Technology, Bangladesh, 2001
Research Interests
Bio-robotics – wearable robots, rehabilitation robotics, exoskeleton robots (for rehabilitation & motion assistance), human-assist robots, service robots, surgical robots, medical robots, human-machine interface.
Intelligent system and Control – nonlinear control, artificial intelligence, neural networks, fuzzy systems, fuzzy-neuro control, adaptive control, control using bio-logical signals such as electromyogram signals, autonomous navigation, tele-robotics, teleportation
