Thenarasu M. currently serves as Assistant Professor (Sr.Gr) at the Department of Mechanical Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore Campus. His areas of research include Manufacturing.


  • 2011-2013: M.Tech. (Integrated Design and Manufacturing)
    School of Engineering, Amrita Vishwa Vidyapeetham
  • 2008-2011: B.Tech. (Industrial Engineering)
    Indian Institute of Industrial Engineering
  • 2004-2007: Diploma (Tool and Die Engineering)
    Geedee Technical Training Institute


  • January , 2018 - Present :

Assistant Professor (Sr.Gr)
School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore

  • July 2013 – December 31, 2017 :

Assistant Professor
School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore

  • July 2012- June 2013 :

Teaching Assistant
School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore

  • October 2010 - August 2011 :

Junior Engineer
Foxconn India Pvt Ltd, Chennai

  • September 2008 - September 2010 :

Tool Maker
Omax Autos Ltd, Bangalore

  • August 2007- August 2008 :

Diploma Engineer Trainee
Wheels India Ltd, Chennai


Academic Year Semester Name of the Subject Taught Tutorial/ Lab. Assistance/ Other Courses
Theory Practical
2013-2014 ODD Manufacturing Technology II,DFMA Basic Workshop, System Simulation ED, Machine Drawing
EVEN Operation Research Manufacturing Process, AutoCAD, AUTOCAD, Basic workshop
2014-2015 ODD Advance Casting Technology, Engineering Drawing Engineering Drawing Lab Basic workshop
EVEN Manufacturing Technology I, Engineering Drawing CAD Engineering Drawing CAD AutoCAD
2015-2016 ODD Analysis of Machining process Instrumentation lab, System simulation Basic workshop
EVEN Enterprise Management Manufacturing process I Lab Manufacturing process lab I
2016-2017 ODD Analysis of Machining processes, Manufacturing Technology II System Simulation AutoCAD Engineering CAD Lab
EVEN Enterprise Management, Supply chain Management Engineering Drawing CAD Lab Fluid Machinery lab
2017-2018 ODD Principles of Management, Engineering Drawing CAD Engineering Drawing CAD Basic Workshop, Engineering CAD  
EVEN Enterprise Management, Product cost Estimation Basic workshop Project Review
2018-2019 ODD Machine Drawing Machine Drawing Machine Drawing
EVEN Operations Research, Enterprise Management  Basic workshop, Engineering Drawing CAD Engineering Drawing CAD, Project Review
2019-2020 ODD Machine Drawing Machine Drawing Machine Drawing
EVEN Operation Research (Fast track), Operation Research (Regular) Manufacturing Practice Project Review

Student Projects Guided

Year Title of the Project/Thesis Number of Students/group Industry Project / In-house
UG Level
2014-2015 Assembly line balancing and workstation design for a pump manufacturing industry J Vignesh Karthick (Project Leader) Industry Project
Design and Development of plastic bottle and beverage can crusher Yashwanth R (Project Leader) In-house  
Design and Fabrication of semi-automatic floor cleaning machine Gokul R (Project Leader) In house  
2015-16 Optimization of Variable batch size and inventory streamlining Arun Kumar M (Project Leader) Industry Project
Assistive motorized gait for hemiplegic individuals Navaneethakannan (Project Leader) In-house Project  
An analysis of casting defects and identification of remedial measures – a study in an pump industry Vivek P (Project Leader) Industry Project  
2016-2017 Automation of Resin Core-Making Process Rajasakthikumar (Project Leader) Industry Project
Automation of Blocking System Karthick Srinivasan Industry Project  
2018-2019 Design and Optimization of Lifting Arm of Self Loading Concrete Mixer Through Finite Element Analysis Shivaram srikanth Industry Project
Comparison and Dynamic Selection Dispatching Rules for Job Shop Scheduling Sheerapthi Ramiya (Project Leader) Industry Project  
2019-2020 CRM: Enhancing End User-Industry Relationship Syed Afzal (Project Leader) Industry Project
Assembly line balancing in automotive division by simulation  R Paurush ( Project Leader) Industry Project  
PG Level
2014-2015 Performance comparison for aluminum, copper and steel shots in waste heat recovery and scrap preheating from solidifying molten metal M.Tech Mobin Mathew In-house
Novel adhesion promotion of aluminium for aerospace environments H.Prakash (M.Tech) In-house  
2017-2018 Study on Mechanical Properties of LM 6 Aluminium Alloy Reinforced with Ground Granulated Blast Slag (GGBS) Particles Manoj Kumar (M.Tech) In- house
2017-2018 Influence of spot welding in adhesive bonded sheets based on formability S. Gopinath (M.Tech) In- house
2018-2019 Productivity Improvement in pressure vessel manufacturing industry using lean principles Jiby Jhony (18041) Industry Project
2018-2019 Productivity enhancement through introducing lean principles in multi-model line Muthuvel R (ELGI) Industry Project

Funded Research Projects

Name of the Proposal Submitted Date of Submission Name of the Funding Agency Project Grant / Assistance Requested (Rs.)
Development of a job prioritation tool for a real-world large scale static and dynamic flow-shops & job-shops using multi criteria decision models 29-06-2018 DST- Science and Engineering Research Board (SERB) Rs, 13,29,700/-

Seminars/Workshops/Conferences Attended

S. No. Name of the International Seminar/Workshop/Conference Date Name of Organizing Institution & Venue
1 Two days FDP on “Manufacturing Technology” November 25-26, 2019 Roots Industries India Limited, Coimbatore
2 International conference on Mechanical and Building Sciences – ICMBS 2019 March 27 - 28, 2019 SNS college of Technology, Coimbatore
3 Fifth international conference on additive manufacturing technologies - AM 2015 September 7 - 8, 2015 Additive Manufacturing Society of India, Bengaluru
4. International conference on Advanced Engineering and Technology for sustainable development (ICAETSD 2015) March 5 - 6, 2015 Karpagam college of Engineering, Coimbatore
5. One day workshop on Lean manufacturing and applications in innovation and new product development July 17,  2017 Amrita Vishwa Vidyapeetham, Coimbatore
6. Two days’ workshop on Recent Trends in Manufacturing March 27-28, 2014 Amrita Vishwa Vidyapeetham, Coimbatore


Publication Type: Journal Article

Year of Publication Title


S. Srikanth, Hussian, Z., and M. Thennarasu, “Design and Optimization of Lifting Arm of Self Loading Concrete Mixer through Finite Element Analysis”, International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 1, pp. 1871-1875, 2019.


Sreejyothi, M. Thennarasu, and .Gokulachandran, J., “The Engine Testing Work-flow Analysis through Value Stream Mapping and Simulation”, International Journal of Mechanical and Production Engineering Research and Development (IJMPERD), vol. 9, no. 2, pp. 477-484, 2019.


M. Thennarasu, Rameshkumar, K., Dr. Anbuudayasankar S. P., Arjunbarath, G., and P. Ashok, “Development and selection of hybrid dispatching rule for dynamic job shop scheduling using multi-criteria decision making analysis (MCDMA)”, International journal for quality research (Accepted – In press), 2018.


Dr. Shriram K Vasudevan, Seshadri, N., Dr. Anbuudayasankar S. P., and M. Thennarasu, “Performance improvement in Cardiology department of a hospital by Simulation”, International Journal of Advanced Intelligence Paradigms (Accepted – In press), 2018.


K. Srinivasan, Siddharth, C. S. K., Kaarthic, L. V. Arun, and M. Thennarasu, “Evaluation of Mechanical Properties, Economic and Environmental Benefits of Partially Replacing Silica Sand with Biomass Ash for Aluminium Casting”, Materials Today: Proceedings, vol. 5, no. 5, Part 2, pp. 12984 - 12992, 2018.[Abstract]

Green sand molding for metal casting makes up around 70% of the total castings produced worldwide. Silica sand mining and its transportation to foundries harm the ecosystem, rendering this metal casting process environmentally unsustainable. This research paper introduces a novel method of partially replacing the silica sand with biomass ash - a waste product of combustion in various processes such as domestic and commercial cooking. Suitable experiments were conducted to measure the effects of mixing progressively higher proportions of biomass ash (from 9% to 30%) in conventional green sand mold. The molds then underwent tests for the evaluation of technological properties such as green compression strength, green shear strength, permeability and compaction. After suitable pattern making, the molds were tested for casting using LM 24 Aluminium Alloy. The obtained Aluminium Alloy castsings underwent micro hardness tests and micro structure study. The results obtained for biomass ash molding sand were compared with the corresponding tests results for conventional sand mold casting and the results were satisfactory.

More »»


K. Ramesh Kumar, M. Thennarasu, and Prakash, M., “Simulation Modeling and Development of Analytic Hierarchy Process (AHP) based Priority Dispatching Rule (PDR) for a Dynamic Press Shop”, International Journal of Industrial and systems engineering, vol. 27, no. 3, pp. 340-364, 2017.


Sathishkumar V. R., Dr. Anbuudayasankar S. P., and M. Thennarasu, “Design and Development of Simulation based Model to Rank Job Flow Strategies”, ARPN Journal of Engineering and Applied Sciences, vol. 11, pp. 6082-6086, 2016.[Abstract]

In recent days many business organizations make huge investment in establishing their shop floors, installing most mechanized machines. These mechanized machines ought to operate in tandem with other machines, whose productivity level are usually different, which leads to individual machines working in maximum efficiency and the overall shop floor working in sub-optimal level. A spool shop assembles flanges, valves and nozzles to lengthier pipe, which are used in the construction of power plant, petroleum refinery, and cement plant. Longer cycle time at different work stations, lengthier job queue waiting for processing, high level of work-in-progress are inherent issues in a spool shop. Individual machines operating at maximum efficiency without analyzing the flow metrics in a spool shop leads to bottleneck. Current study, aims at spotting and decongesting the bottle neck at various machines, improve the output of the spool shop and optimize individual machine utilization. Four simulation models are developed using ARENA and each one of them are evaluated on the following metrics: Output from spool shop per time period, utilization of individual machines per time period, value added time per unit of pipe, average queue length at each machine, average waiting time of a pipe and work-in-progress. First model depicts the data captured in the existing spool shop. In second model, high priority is assigned to the jobs that ought to be further processed in shot blasting machine and heat treatment furnace, thus minimizing the wait time. In third model, a modification is suggested to the existing annealing process, where the job is allowed to cool outside the furnace, thus making the furnace available for the next job. Forth model uses the priority rule in the suggested modified model. In all these models, inter-arrival time of job from storage yard to spool shop is maintained constant. Evaluating each model against performance statistics and queue statistics helps rank models based on each metrics. Models with high priority for further processing make use of single piece flow, a proven lean principle technique that has enhanced the overall efficiency. This eventually motivates practicing shop floor manager to incorporate flow metrics in designing the layout and machine capacity for optimal overall utilization. © 2006-2016 Asian Research Publishing Network (ARPN). All rights reserved.

More »»


M. M. Mathew, M. Thennarasu, Aravind, G., and Selvaraj, J., “Performance comparison for aluminium, copper and steel shots in waste heat recovery and scrap preheating from solidifying molten metal”, ARPN Journal of Engineering and Applied Sciences, vol. 11, pp. 6094-6099, 2016.[Abstract]

During solidification of molten metal in sand casting, the sensible, latent and superheat are lost to the sand. This research article focuses on waste heat recovery from solidifying molten metal and scrap preheating using the recovered heat. This is done by incorporating an intermediate heat transfer medium such as aluminium, copper and steel shots in green sand mould. These intermediate heat transfer media absorb the heat from the solidifying metal in the mold cavity; the heated shots are separated from the mold and allowed to transfer their heat energy to the metal scrap by conduction, convection and radiation. The experiments prove that 8.4 % of heat recovery is achievable by introducing copper shots with the green sand mold, compared to aluminium shots, which generates 3.7 % and steel shots achieving 3 %. This method has the potential to be instrumental in reducing the enormous amount of energy spent to melt the metal in foundries. The experiments reveal that about 84 kWh of energy can be saved by using copper shots for melting one ton of metal. Cumulative effect of this novel energy conservation method on energy costs and global warming mitigation is found to be very convincing for industrial implementation, particularly for countries such as India. © 2006-2016 Asian Research Publishing Network (ARPN). All rights reserved.

More »»


J. Selvaraj, M. Thennarasu, Aravind, S., and P. Ashok, “Waste Heat Recovery from Castings and Scrap Preheating by Recovered Heat Using an Intermediate Heat Transfer Medium”, Advances in Mechanical Engineering, vol. 813-814 , pp. 776 -781, 2015.[Abstract]

Energy conservation is a major topic of concern since our energy sources are exhausting exponentially. This paper focuses on waste heat recovery using which scrap preheating is done in metal castings using sand molds. During solidification of molten metal, most of the heat is lost to the sand. The proposal is to prepare the sand mould with aluminium shots surrounding the mold cavity. These shots absorb some of the heat from the solidifying metal in the mold cavity. The heated shots are separated from the mold and they are allowed to transfer their heat energy to the metal scrap by conduction. The experiments indicate that at least 6.4% of heat recovery is achievable. This will be instrumental in reducing the enormous amount of energy spent to melt the metal considering the fact that casting is the most widely used manufacturing process globally.

More »»


M. Thennarasu, ,, ,, and M. kumar, A., “Investigation of Mechanical and Wear Behavior of LM 24 Aluminum Alloy for Different Types of Casting”, Research India Publications, International Journal of Applied Engineering Research, vol. 10, 2015.[Abstract]

This paper compares the mechanical and wear behaviour of LM 24 (Al-Si8Cu3Fe) aluminium alloy that were fabricated using different casting process. The specimens were fabricated using the sand, plaster mold and die casting. For each casting, hardness test and charpy test were performed individually to study the effect of different casting characteristics on the hardness and impact strength. Pin on disc tribometer was used to study the dry sliding wear behaviour for different castings. The results showcased that the hardness, impact strength and wear resistance decreased in the order of die, plaster mold and sand castings. Die cast specimens showed highest hardness (84.87 BHN), high impact strength (2.54J/m2) and low wear rate (0.102 mm3/m) compared to sand and plaster mold cast specimens.

More »»