Research at Department of Mechanical Engineering

The Department of Mechanical Engineering is one of the vibrant departments at AMRITA in terms of research and teaching. The strength of the staff in terms of quality and quantity proves it. The department has excellent state of the art experimental and computational facilities which facilitate the teacher and the students to practice and learn to compete.

The area of interest of the faculty members’ span over the following areas:

  • Design Engineering
  • Thermal Engineering
  • Manufacturing Engineering
  • Industrial Engineering

Interrdisciplinary research is very common in the department that provides wide opportunity to attract the industries and government organizations to do collaborative projects as well. Publication of the research results as papers in the international journals and conferences by the staff and students of the department substantiate the excellence of their works.

RESEARCH EXPERTISE
DESIGN ENGINEERING

  • Finite Element Analysis
  • Vibration Analysis and control
  • Dynamic Analysis of Composite Structures
  • Polymer Nano Composites
  • Creep and Failure Analysis
  • Contact mechanics
  • Condition Monitoring
  • Data mining in Mechanical Engineering
  • Applications of Artificial Intelligence
  • Fault diagnosis and Prognosis Tribology
  • Robotics.      

 THERMAL ENGINEERING

  • Computational Fluid Dynamics
  • Combustion analysis
  • Engine Heat transfer
  • Engine Misfire Detection
  • IC Engine Design
  • Liquid Jet Instability
  • Spray Characterisation
  • Refrigeration and Air-conditioning
  • Fluid dynamics and Fluid structure interaction

MANUFACTURING ENGINEERING

  • Alloy Development
  • Metallurgical Modeling
  • Automated Visual Inspection
  • Friction Stir Welding
  • Gas Tungsten Arc Welding
  • Green Manufacturing
  • High Speed Machining and Micro Machining
  • Research at Department of Mechanical Engineering

INDUSTRIAL ENGINEERING

  • Reliability Engineering
  • Supply chain and Logistics
  • Cluster Analysis and Optimization
  • Simulation Modeling
  • Production and operation management
  • Agile Manufacturing
  • Response Supply Chain Management
  • Cellular Manufacturing and Reconfigurable Manufacturing
  • Lean Manufacturing and Product data management.

RESEARCH FACILITIES

  • Machinery Fault Simulator
  • FFT Analyzer
  • Acoustic Emission
  • Computerized Universal Testing machine
  • Friction and wear monitor
  • Inverted Metallurgical Microscope
  • CNC Vertical Machining Center
  • Advanced GTAW and GMAW welding Equipments
  • Pollution Testing Equipment
  • Real time monitoring of IC Engine.
  • Smoke meter and five gas analyzer
  • Data acquisition system for temperature, force and flow measurement.
  • Vision acquisition system for inspection
  • LEGO Mind storms educational robot
  • IR52C Industrial robot 

COMPUTER AIDED ENGINEERING SOFTWARES

  • ABAQUS
  • ANSYS
  • ANSYS FLUENT
  • ARENA
  • CADIAN
  • CATIA
  • CERO ELEMENTS
  • EDGECAM
  • HYPERWORKS
  • IDEAS
  • MOLD FLOW
  • UNIGRAPHICS

SPONSORED PROJECTS

  • Process Monitoring and Control of ultra-precision machining of Titanium alloys
  • Development of Spinodal Bronze, Bronze Matrix Composite and Functionally Gradient Bronze and Comparison of their Mechanical and Wear Properties
  • Neural network modelling for condition monitoring of i.c engine using different composite flywheels
  • Fault diagnosis of dynamic mechanical systems(gear box) based on signal processing using machine learning techniques
  • Development of functionally-graded aluminium metal matrix composites using centrifugal casting method and to investigate the mechanical and tribological properties
  • Modeling and Simulation of Deformation in Machining Processes
  • Finite Element Modeling of a Horn-Diaphragm from Manufacture to Operation, to analyze Crack Propagation
  • Autonomous Mobile Robots Based on Bioinspired artificial control
  • Real Time testing of IC Engines
  • Development of a method to Control Ultraviolet Radiation Processes
  • Mechanical Testing, Metal Forming and Quantitative Metallurgical Microstructure Analysis of Components
  • Development of real-time process control method based on neural network model using feed-back of weld pool geometric parameters measured by a vision-based technique and experimental verification for automated arc welding processes.