Mr. Vikas Kumar

Topic: Vibration reduction of automobile systems using crankshaft modifications
MS scholar: Ongoing since July 2024
Brief about topic: Vibration is the adversary of any moving component, the crankshaft is a critical component of the engine. In engines, vibrations are created by the unbalancing of the crankshaft. The scope of my research work is to do modifications in the crankshaft so that it can be properly balanced and finally, vibration can be reduced in automobiles.
Academic Background:
B.Tech. - Mechanical Engineering, Poornima College Of Engineering, Jaipur, Rajasthan.
M.S. – Pursuing at Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai.
Email: me24s400@smail.iitm.ac.in

Mr. Sonu Kumar Sharma

Topic: Prognostic of Gears and Gear box
MS scholar: Ongoing since July 2023
Brief about topic: Gears and gear assemblies are among the most prevalent mechanical components for transmitting power, owing to their substantial and consistent speed ratio,notable power-handling capability ,increased transmission effectiveness and prolonged durability etc. Recognizing all these above importance of the gears ,industries like defence, automobile, and aviation extensively employ gears for power transmission. To ensure the smooth operation of gear systems, facilitate predictive maintenance, and enhance overall system reliability, it becomes crucial to predict and estimate the future condition or performance of gears and their remaining useful life. The current research aims to achieve this by conducting real-life testing of gear systems. Employing a data-driven approach and various models, the goal is to predict the condition and estimate the remaining useful life of gears. This research holds promise for optimizing maintenance strategies and bolstering the reliability of gear systems across diverse industries.
Academic Background:
B.E. - Bhagalpur College of Engineering, Bhagalpur, Bihar
M.S. – Pursuing at Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai.
Email: me23s014@smail.iitm.ac.in

Mr. Sakthisandron A

Topic: Development of advanced signal processing approaches for bearing fault prognosis
MS scholar: Ongoing since July 2022
Brief about topic: Being able to find its place, wherever rotation exists between components, bearing suffers from faults of its kind. Predicting the Remaining Useful Life (RUL) of the bearing is always a concern to avoid damage. So, it is experimented with a similar environment to fail, the acquired data will be used to improve the approach of predicting the RUL.
Academic Background:
B.E. - PSG College of Technology, Coimbatore, Tamil Nadu.
M.S. – Pursuing at Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai.
Email: me22s014@smail.iitm.ac.in

Mr. Subhendu Ghorai

Topic: Condition monitoring and fault diagnosis of sensor-integrated bearings
Guide: Dr. Sivasrinivasu Devadula
Co-guide: Dr. Piyush Shakya
MS scholar: Ongoing since August 2021
Brief about topic: Bearing is a critical element in any rotary machine, and any deterioration of the health of the bearing leads to a breakdown or undesirable output from a mechanical system. The scope of my research work is to develop a self-sufficient sensor integrated bearing with necessary sensing elements to assess the health of the rolling element bearing using various signal processing and deep learning techniques.
Academic Background:
B.Tech – Mechanical Engineering, Academy of Technology, Adisaptagram, West Bengal.
M.S. – Pursuing at Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai.
Email: me21s070@smail.iitm.ac.in

Mr. Mahesh Gaikwad

Topic: Development of smart bearings for rotary equipment’s
Guide: Dr. Piyush Shakya
Co-guide: Dr. Sivasrinivasu Devadula
MS scholar: Ongoing since Feb 2021
Brief about topic: The condition monitoring is desirable but considered impractical due to difficulty accessing the critical locations in industries like Wind Power and Railways. Therefore, there is a need to develop a smart bearing integrated with wireless sensors capable of monitoring and assessing its health in real-time. Identifying deployable micro electro mechanical sensors (MEMS), suitable IoT modules for connectivity, and the development of signal processing and machine learning algorithms for bearing diagnosis and prognosis are to be addressed.
Academic Background:
B.Tech – Mechanical Engineering, Savitribai Phule Pune University, Maharashtra.
M.S. – Pursuing at Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai.
Email: me20s033@smail.iitm.ac.in

Mr. Akshay Rajendra Patil

Topic: Improved Fast Kurtogram Technique for Fault Diagnosis of Rolling Element Bearings
MS scholar: Ongoing since Jan 2019
Brief about topic: Rolling element bearings are generally used in industries today especially in rotating machinery. Prime cause for machine breakdown is bearing failure. So bearing fault detection in primary stage is extremely important. Fast Kurtogram acts as an efficient tool for Fault Diagnosis and Online Condition Monitoring applications. But useful information (containing faults) may be lost sometimes due to the inaccuracy of working algorithm. So improvement in current algorithm can enhance accuracy and reduce time required to detect fault in mechanical systems. Currently working on analysis of Fast Kurtogram Technique and Model Re-Development.
Academic Background:
B.Tech – Mechanical Engineering, KIT's College of Engineering Kolhapur.
M.S. – Pursuing at Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai.
Email: me18s049@smail.iitm.ac.in