A5033569457- Vibration Control and Rheological Fluids
- Seismic Performance and Analysis
- Structural Engineering and Vibration Analysis
- Machine Fault Diagnosis Techniques
- Hydraulic and Pneumatic Systems
- Gear and Bearing Dynamics Analysis
- Advanced machining processes and optimization
- Fluid Dynamics and Vibration Analysis
- Vehicle Dynamics and Control Systems
- Engineering Diagnostics and Reliability
- Vibration and Dynamic Analysis
- Structural Health Monitoring Techniques
- Fault Detection and Control Systems
- Industrial Vision Systems and Defect Detection
- Effects of Vibration on Health
- Advanced Machining and Optimization Techniques
- Advanced Surface Polishing Techniques
- Aluminum Alloys Composites Properties
- Advanced Welding Techniques Analysis
- Mechanical Engineering and Vibrations Research
- Characterization and Applications of Magnetic Nanoparticles
- Magnetic Bearings and Levitation Dynamics
- Rheology and Fluid Dynamics Studies
- Innovations in Concrete and Construction Materials
- Composite Structure Analysis and Optimization
National Institute of Technology Karnataka
2016-2025
Syngene International (India)
2024-2025
Biocon (India)
2025
Bristol-Myers Squibb (India)
2025
Sardar Vallabhbhai National Institute of Technology Surat
2017-2023
University of Mysore
2023
Gulbarga University
2022
Birla Institute of Technology and Science, Pilani
2012-2022
Birla Institute of Technology and Science, Pilani - Goa Campus
2022
Panjab University
2019
This paper deals with the fault diagnosis of face milling tool based on machine learning approach using histogram features and K-star algorithm technique. Vibration signals under healthy different conditions are acquired during machining steel alloy 42CrMo4. Histogram extracted from signals. The decision tree is used to select salient out all these selected as an input classifier. a classifier output model utilised study classify tool. Based experimental results, provided better...
Vibration-based fault diagnosis is one of the widely used techniques for condition monitoring machines equipped with a gearbox. Severe operating conditions gearbox result in gear tooth failure. To develop an effective technique mechanical system, machine learning approach highly necessary and plays vital role area monitoring. This paper presents vibration-based IC engine under actual running condition. An Eddy current dynamometer to apply external load on output shaft engine. Driving healthy...
Raloxifene (RX) in the presence of liver microsomes and glutathione (GSH) has shown oxidative bioactivation to reactive intermediates that are conjugated by GSH. L-Ergothioneine (ET) is a naturally occurring sulfhydryl amino acid, similar GSH, derived from dietary sources with antioxidant properties reported accumulate high concentrations animals humans. We hypothesized ET may have detoxification/conjugation Using rat human mouse, rat, dog, monkey, hepatocytes, novel ergothioneine conjugate...
Magneto-Rheological fluid (MRF), known for changing properties under a magnetic field, is ideal brakes and dampers in magnetically controlled devices. This research presents novel design 10-disc MR brake using in-house Fluid distinguished by its integration of electromagnet windings directly onto the shaft. Magneto-static analysis, performed Finite Element Method Magnetics (FEMM) software, optimized material selection dimensions, enhancing field distribution across MRF gap maximizing braking...
Successful automation of a machining process system requires an effective and efficient tool condition monitoring to ensure high productivity, products desired dimensions, long machine life. As such the component’s processing quality increased reliability will be guaranteed. This paper presents classification healthy faulty conditions face milling by using Naïve Bayes technique. A set descriptive statistical parameters is extracted from vibration signals. The decision tree technique used...
Gears are the one of most important machine components and widely used in transmission design automobiles other rotating machinery. In industry, breakdown such crucial causes heavy losses. This paper present two signal processing techniques for fault detection a gear an internal combustion engine, they conventional vibration spectrum analysis continuous wavelet transform. A diagnosis engine test setup is built experimental studies to acquire from healthy as well simulated faulty gear. The...
Abstract The magnetorheological (MR) system’s performance depends on the MR fluid’s temperature in operation. This study aims to evaluate effect of fluid while damper is working. Before synthesizing fluid, scanning electron microscopy, x-ray diffraction, and particle size analysis verifies for synthesis in-house. Characterization at different temperatures magnetic fields was carried out. Herschel–Bulkley model used analyse nonlinearity by incorporating effect. range critical parameters...
Abstract Tool condition monitoring in machining plays a crucial role modern manufacturing systems, finding tool wear state early with the help of system will reduce downtime and excessive power drawing while machining. It increases quality as well surface finish machined components, reduces tear machine its components hence efficiency. Vibration analysis mechanical systems can be used to identify distinguish good worn tool. This paper uses vibration signals acquired using accelerometer lathe...
Magnetorheological (MR) fluid is one of the major constituent element in structural suspensions and damping characteristic automobile applications. The drawback sedimentation MR fluids, present study an attempt has been done to address issue. synthesis characterization combination with clay additives leads improvement rate. four different types were prepared clay, friction reducing agent poly-alpha-olefin (PAO) oil naming as MRFp-1, 2, 3 4 tabulated table 1. cost effective MRFp-3 shows...