Mr. E. Sankar
Assistant Professor (O.G)
Department of Mechanical Engineering
Contact Information
Email : sankare1@srmist.edu.in
- Ph.D. (Pursuing)
- M.E. (CAD), Anna University, 2009
- B.E. (Mechanical), University of Madras, 1999
- Production Management
- Fluid Mechanics
- Thermodynamics
- Engineering Mechanics
- Industrial Engineering
- Industrial Management
- Industrial Automation
- Manufacturing Process
- Elements of Mechanical Engineering
- Design of Experiments and Research Methodology
- Theory of Machine
- Refrigeration and Air Conditioning
- Additive Manufacturing
- Vehicles Dynamics
- Automotive Electric Vehicle
- Machine Design
- Nanofluids and Minimum Quantity Lubrication
- Tribology in Machining
- wear and wear mechanism
- Surface engineering of cutting tools for sustainable machining development
- Mr. E. Sankar, Duraivelu K. The effect of SiO2, Al2O3, and TiO2 nanoparticle additives on lubrication performance: evaluation of wear and coefficient of friction. Materials Today: Proceedings. 2022
Jan 1; 68:2387–92. https://doi.org/10.1016/j.matpr.2022.09.107 - Sridharan K, Mr. E. Sankar, Periyasamy P, Prakash A, Experimental investigation on the tribological properties of lubricant oil with nano-particle additives, Jr. of Industrial Pollution Control 33(2) (2017), pp. 1781–1784.
- Sridharan, K. and Mr. E. Sankar, Uniaxial deformation characteristics of NR/BR blended rubber under large compression strain, International Journal of Chemical Sciences, Volume 14, 2016, Pages 461-466.
- Design of automatic and rapid changeover of dual clutch transmission system, Appl. No. 201941045431
- Assistant Professor, Mechanical Department, SRM Institute of Science and Technology (formerly known as SRM University), Chennai, since July 2010
- Lecturer, Mechanical Department, Karpaga Vinayaga College of Engineering and Technology, from August 2009 to July 2010
- Lecturer, Mechanical Department, Balaji Polytechnic College, from December 2005 to July 2007
- Lecturer, Mechanical Department, ATA Polytechnic College, from August 2001 to December 2005
- Maintenance Engineer, India Conveyor System, July 2000–August 2001
- Attended online courses
- Attended FDP’S
- Attended Conferences
- ISTE – Member
- Indian Science Congress-Member
- NIQR-Member
- SAE-Member
- SOLAR ENERGY SOCIETY OF INDIA – Member
- Mr. E. Sankar, Duraivelu K., “Investigating the Impact of SiO2-TiO2-Al2O3 Nanoparticle Additions on the Lubricating Performance of SN500 Base Oil using Fuzzy Logic,” First International Conference on Advancement in Materials, Manufacturing and Automation (AMMA2023) held at Amirtha School Engineering, Chennai, Tamil Nadu, on April 7–8, 2023.
- Participated in the five-day professional development program on ‘MATLAB and LabVIEW Programming for Engineering Applications’ on June 20–24, 2022, organized by NITTTR, Chennai.
- Participated in the Six days Faculty development program on “ENVISIONING PATHWAYS IN THERMAL SCIENCES” on 23 -28 th May 2022, organized by SRM IST, Chennai
- Mr. E. Sankar, Duraivelu K., “Experimental investigation on ecofriendly lubricant oil mixed with SiO2, TiO2, and Al2O3 nanoadditives,” 4th International Conference on Advances in Mechanical Engineering (ICAME 2022), held at SRM Institute of Science and Technology, Chennai, on March 24-26, 2022.
- SOFTWARE’S: MINITAB 16 expertise in toolboxes such as DOE (factorial design, Taguchi, response surface methodology, multi-response optimization through desirability), ANOVA, regression (simple linear, multiple linear, quadratic, and non-linear), quality tools, parametric tests, nonparametric tests, process capability analysis, and principal component analysis.
- MATLAB: Basics of MATLAB, like writing scripts, writing codes, artificial neural networks, fuzzy logic, adaptive neuro-fuzzy interface systems, optimisation and the global optimisation toolbox.
- ANSYS: Ansys workbench 15.0, static structural, design exploration, transient thermal, explicit dynamics, thermo-mechanical coupled.
- Design Expert: DOE (factorial design, Taguchi, response surface methodology, multi-response optimization through desirability function).