Back close

Design and development of a negative stiffness mechanism based low-frequency passive vibration isolation platform

Project Incharge: Dr. B. Santhosh

Co-Project Incharge: Dr. K. I. Ramachandran

School: School of Engineering, Coimbatore

Agency & Scheme: ISRO/ RESPOND

Duration: 24 Months

Total Cost: Rs. 18,27,920/-

Design and development of a negative stiffness mechanism based low-frequency passive vibration isolation platform

Indian Space Research Organization (ISTO) awarded a research project titled “Design and development of a negative stiffness mechanism based low-frequency passive vibration isolation platform” under SERB SURE scheme. The Principal Investigator (PI) for the project is Dr. B. Santhosh, Associate Professor , Department of Mechanical Engineering, Amrita School Engineering, Coimbatore and Co-Investigator for the Project is Dr. K. I. Ramachandran, Professor, Department of Mechanical Engineering, Amrita School Engineering, Coimbatore.

Project Summary

This project involves the development of a mathematical model for the six degrees of freedom vibration isolator based on QZS mechanism.  A computational framework based on harmonic balance method (HBM) will be developed to obtain the transmissibility of the isolator.  A prototype of the six degrees of freedom isolator based on negative stiffness will be developed and tested for low frequency isolation capability.

Related Projects

eLiteracy & Health Awareness for Tribal Children
eLiteracy & Health Awareness for Tribal Children
National Faculty Expertise System
National Faculty Expertise System
The SMART SHG Project
The SMART SHG Project
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Development of a Real-Time Wireless Sensor Network for Landslide Monitoring
Development of a Real-Time Wireless Sensor Network for Landslide Monitoring
Admissions Apply Now