To design and develop intelligent systems for machine health monitoring.
Developed low-cost real-time monitoring system for early fault detection using Predictive Analytics.
Gear Box Test Rig: Fault diagnosis of a typical dynamic mechanical system (gear box) used in automobile transmission systems by extracting the Acoustic Emission (AE), sound and vibration signals and then classifying these signals using efficient machine learning algorithms. – DRDO Funded Project
Machinery Fault Simulator (ISRO): Fault diagnosis of mechanical elements like gears and bearing using vibration and sound signals. – ISRO Funded Project
Process Monitoring and Simulation : Tool condition monitoring in high speed machining of Titanium alloy using acoustic emission sensor and machining process simulation – DRDO Funded Project
Residual Stress Measurement: Prediction of residual stress during machining of Titanium alloy using Finite Element Model and experimental verification – AR &DB Funded Project
The group has more than 50 publications in peer-reviewed international journals.
To quantify the exergy destruction (entropy generation) of a system during a process and reducing the irreversibilities of the system (Second Law Analysis). It is used as a powerful tool in the analysis of energy systems. Some of the applications are to conduct exergo-economic analysis of systems, assessment of alternatives for energy savings, cost allocation, operation optimization, local optimization of subsystems and energy audits and assessment of fuel impact of malfunctions.
Concept: Exergy is the maximum work potential extracted from the total energy. This concept can be used to combine and compare all flows of energy according to their quantity and quality.
Softwares: ANSYS FLUENT, CHEMKIN, OpenFOAM
Computational Facilities:
Experimental Facilities:
Major Equipment
The diverging channel experimental method is developed for the measurement of burning velocity of various gaseous fuels at elevated temperatures.
Schematic of Diverging Channel Experimental Setup
Actual Set Up Image for Diverging Channel Method
Heat flux method is a direct method for determining laminar burning velocity. This measurement technique uses a nearly flat flame anchored over the burner top.
Schematic of Heat Flux Setup
Actual Set Up Image for Heat Flux
Experimental setup was developed to understand the flame stability of household burners operated with LPG/H2/air mixtures
Household Burner Experimental Setup
| Collaborator | Title | Status of Funding/Type of Collaboration | |
| Foreign University | Virginia-Tech, USA / US-India Educational Foundation | Fulbright Specialist Scholarship Program – brought in a senior visiting professor from Virginia-Tech | Granted (Rs. 4 lakhs) |
| DST (TIDE) | In-House | Low-Cost Hand & Arm Rehabilitation System | Granted (Rs. 22 lakhs) |
| Industries | Defence Research Development Laboratory, Hyderabad | Modeling of Deformation in Machining Processes | Granted (Rs. 10 lakhs) |
| Modeling of Reverse Flow-forming for Manufacturing Long Cylinders | Industry-Academia | ||
| ROOTS Industries India Private Limited, Coimbatore | Finite Element Modeling of Residual Stresses and Fatigue-Induced Failure in a Vehicle Horn Diaphragm | Industry- Academia | |
| Larson & Toubro, Coimbatore | Numerical Modeling of Machining of Thin-Wall Structures to Predict Warping and Appropriate Fixtures | Industry- Academia |
Research Focus: Supply Chain Management / Lean Manufacturing
More than 70 Industry Projects have been completed by the group, focused on solving practical industry problems in Supply Chain Responsiveness, Supply Chain Risk Management, Inventory Management, Scheduling and Process improvement. Major industry problems like Defect Reduction, Setup Time Reduction and Productivity Improvement have been solved in numerous industries. The group is interested in providing consultancy and training to micro, small and medium enterprises (MSMEs).
Some of the focus areas and projects done are given below.
Supply Chain Risk Management
Assessment of the Cost and Impact of Supply Disruption for an Assembly
Design of a Warehouse
Scheduling/Inventory Management
Agility and Supply Chain Responsiveness
Process Improvement using Lean Manufacturing Tools
The group has more than 50 publications.
| Years | Funding Agency | Title of Project | Amount of Grant (Rs.) | Investigators |
| 2006 (3 years) | AICTE -RPS | 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 | 8.0 lacs | Principal Investigator: Dr.R.Sellamuthu (PI), Co-Investigators: Mr. Sanjivi Arul Mr. S.Ilangovan Mr. R.Saravanan |
| 2005 (3 years) | DST – Indo-Italy POC in S&T | Autonomous Mobile Robots based on Bio-inspired Artificial Control | 4.5 lacs | Principal Investigator: Mr. Sanjivi Arul |
| 2004 (3 years) | DRDO | Development of a method to control UV radiation in welding processes | 15.45 lacs | Principal Investigator: Dr.R.Sellamuthu (PI), Co-Investigators: Mr. Sanjivi Arul Mr. S.Ilangovan Mr. R.Saravanan |
| 2012 (3 years) | DRDO | Development of Spinodal Bronze, Bronze Matrix Composite and Functionally Gradient Bronze and Comparison of Their Mechanical and wear Properties | 14.2 lacs | Principal Investigator: Dr.R.Sellamuthu (PI), Co-Investigators: Mr. Sanjivi Arul Mr. S.Ilangovan Mr. R.Saravanan |
Numerical simulation of vibration and seismic analysis of structures
Advanced and Conventional Materials, Processing and Product Development
Engine development and improvement, Emission studies, Vehicle dynamics and optimize Noise, Vibration and Harshness, Air quality modeling for transportation
Engine and Emission studies, Combustion analysis , Performance and emission studies with bio fuels, NVH and refinement, Vehicle Simulation, Multi body dynamics, vehicle handling, Structural and Computational Fluid Dynamics simulation, Performance studies on Hybrid Electric Vehicles, Electronic Control Unit development, Automotive HVAC studies, Tribology studies, Cabin Comfort and Ergonomics, Light weighting.
Amrita Automotive Research and Technology Centre (AARTC) is a clear manifestation of the university’s focus on research and innovation that would enhance the quality of teaching and learning experience of faculty, researchers and students. The Centre enables the automotive industry to get valuable data on their products and facilitate decision-making on performance and target improvements.
The facilities at Amrita Automotive Research and Technology centre includes
To study spray characteristics through theoretical derivations and experimentation using various atomizers. Several experiments have been conducted with air-assisted, acoustic and effervescent atomizers.
This research group is intended to develop the mobile and humanoid robot for industrial application.
Objectives
Design and Implementation of Path Planning Algorithm for Mobile Robot in Static and Dynamic Environment
Currently Mobile Robot has been widely used in examination and navigation particularly where static and dynamic environments are involved. Path planning is a crucial problem in mobile robotics. Path planning of robot refers to the determination of a path, a robot takes in order to carry out the necessary task with a given set of key parameters. To find best possible path from starting point to target point, that reduces time and distance, in a given environment, avoiding collision with obstacles is a current potential research area. The research work aims to develop the novel path planning algorithm with comprises the global, local path planning algorithm along with classical and heuristic algorithms to solve the path planning problem. The local and global path planning is used to avoid the obstacles and the heuristic algorithm is used to find the optimal path as well as reduce the computation time.
Legged Robotics – ARHex
Unmanned robots are the need of the hour as increasing world population requires exploring new caverns and space to find the needed minerals and also for managing the ever increasing rubbles and collapses due to natural and manmade causes. Legged robots gives us an advantage over conventional wheeled robots as the presence of legs help the robot to traverse difficult terrains like dense vegetation, stairs, rubble etc. The aim of this project is to increase the efficiency of the pre existing legged robots by using compliant legs. The compliant legs need only be under actuated for efficient traversing thereby reducing the power required and therefore the weight of the bot. The simulation is carried using Gazebo. Moreover, this project aims to give the robot and arm to execute various tasks as per the requirements.
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