Modelling and simulation of mechanical systems
Master mechanical system modeling and simulation techniques for mechatronics, robotics, and smart devices.
Master mechanical system modeling and simulation techniques for mechatronics, robotics, and smart devices.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Autonomous Vehicle Engineering Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Schematize real systems effectively
Develop mathematical models for multi-physics systems
Create Matlab/Simulink models for simulation
Implement virtual model designs
Analyze mechanical system behavior
Skills you'll gain
This course includes:
0.5 Hours PreRecorded video
18 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This comprehensive course focuses on modeling and simulating modern mechatronic systems, integrating mechanical systems with sensors and actuators. Students learn methodologies to enhance mechanical systems through virtual models, with practical applications in robotics, electro-hydraulic actuators, and smart devices. The course combines theoretical concepts with hands-on implementation.
Computer vision for the control of mechanical systems
Module 1 · 5 Hours to complete
Modelling, control and simulation of electro-hydraulic shake tables
Module 2 · 4 Hours to complete
Design and development of a smart tyre
Module 3 · 3 Hours to complete
Fee Structure
Instructors
Distinguished Professor and Expert in Applied Mechanics and Railway Dynamics
Salvatore Strano, born in Vico Equense, Italy on November 26th, 1980, is an Associate Professor of Applied Mechanics and Railway Vehicle Dynamics at the University of Naples Federico II. His academic journey includes an M.S. degree in mechanical engineering (2005) and a Ph.D. in mechanical systems engineering (2009), both from the University of Naples Federico II. His expertise spans across condition monitoring for railway and road vehicles, energy harvesting systems, mechatronic devices, and real-time hybrid simulations. As an accomplished researcher, he has authored over 100 papers in prestigious international journals and conferences, with significant contributions in areas such as seismic isolators, vehicle dynamics, and intelligent tire systems. His work has garnered substantial recognition in the academic community, with numerous citations in scientific literature. He maintains an active presence in academia through his service on editorial boards of international scientific journals and conferences, while also advancing research in hardware-in-loop platforms and mechanical systems modeling. At the University of Naples Federico II, he teaches courses in mechanical systems modeling and simulation, contributing to both undergraduate and graduate education in engineering.
Distinguished Mechanical Engineering Professor and Robotics Innovation Expert
Sergio Savino, born in Naples, Italy on May 7th, 1975, serves as an Associate Professor at the Department of Industrial Engineering, University of Naples Federico II, where he has progressed through roles including research fellow (2013) and researcher (2017). His academic foundation includes an M.Sc. in Mechanical Engineering (2001) and a Ph.D. in Thermomechanical System Engineering with specialization in applied mechanics and robotics (2005), both from the University of Naples Federico II. His extensive research portfolio encompasses dynamics, mechanical systems automation and control, robot mechanics, innovative trajectory planning for industrial robots, video applications for robotics, mechatronic systems for prosthetic use, object inertia parameter identification, and mechanical systems diagnostics and signal processing. Throughout his career, he has authored over 100 scientific publications and holds multiple patents, including innovations in surface scanning robots and prosthetic hand designs featuring single tie rod mechanisms and piezoresistive sensor activation. His notable patent contributions include a robot for scanning and replicating surfaces, an innovative hand prosthesis driven by a single inelastic tie rod, and an under-actuated hand prosthesis with lockable fingers activated by a spherical cap-shaped piezoresistive sensor, demonstrating his commitment to advancing both theoretical research and practical applications in mechanical engineering and robotics.
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