Unnikrishnan D, has a B.Tech Degree in Mechanical Engineeirng (University of Calicut) and M.Tech in Engineering Design (Mechanical Engineering) (Amrita Vishwa Vidyapeetham Deemed to be university). After Masters he was placed in several MNCs, but choose teaching as a career because of his passion to help people learn and understand new concepts. His academic areas of interest are Solid mechanics, Fluid Mechanics, Computational Mechanics and Polymer Tribology. He is currently pursuing his Ph.D. at amrita Vishwa Vidyapeetham, Coimbatore (Par-time) in wind turbine performance predictions and improvement. He is passionate about Photography, Videography and travelling. He is born to Mr. & Mrs. SathiDivakaran from Palakkad.


  • 2007 - 09 : M.Tech. Engineering Design
    Institution : Amrita School of Engineering
    University : Amrita Vishwa Vidyapeetham
  • 2003 - 07 : B.Tech. Mechanical Engineering
    Institution : K.M.C.T. College of Engineering
    University : Calicut University


  • November 01, 2010 - Present :

Assistant Professor Sr.Gr.
Amrita Vishwa Vidyapeetham

  • January 07, 2010 - October 22, 2010 :

Assistant Professor
S.C.M.S. School of Engineering

  • July 01, 2009 - January 05, 2010 :

AdiShankara Institute of Engineering and Technology

Subjects and the Classes Taught

Academic Year Semester Name of the Subject Taught Tutorial/ Lab. Assistance/ Other Courses
Theory Practical  
  ODD Engineering Graphics CAD Machine Dynamics and control  
  EVEN Engineering Mechanics Metrology and measurements lab Manufacturing Practices Engineering Mechanics Computer Aided Drafting
2017-2018 ODD Engineering Drawing – CAD Workshop Engineering Drawing – CAD
EVEN Kinematics of Machines Engineering Mechanics Engineering Drawing – CAD II Kinematics of Machines
2016-2017 ODD Tribology Engineering Drawing – CAD Material Testing lab Workshop  
EVEN Engineering Drawing – CAD II Workshop Fluid Power lab  
2015-2016 ODD Engineering Drawing – CAD Engineering Drawing – CAD Material Testing Lab Workshop  
EVEN Kinematics of Machinery Metallurgy Lab Manufacturing engineering lab – III Dynamics of Machines Lab
2014-2015 ODD Engineering Drawing – CAD Dynamics of Machinery Engineering Drawing – CAD  
EVEN Introduction to Finite element analysis Engineering Drawing Engineering Drawing Heat transfer lab
2013-2014 ODD Machine Drawing Engineering Mechanics Engineering Drawing Engineering Drawing
EVEN Engineering Mechanics CAD lab CAD Lab
2012-2013 ODD Off Highway Mobility Dynamics of Machinery CAD/CAE Lab Engineering Drawing
EVEN Operations Research Engineering Mechanics Metallurgy Lab  
2011-2012 ODD Dynamics of Machinery Enterprise Management Fluid Power lab  
EVEN Kinematics of Machinery Metallurgy Lab Engineering Drawing
2010-2011 EVEN Advanced Fluid Mechanics   Engineering Drawing

Student Projects

Year Title of the Project/Thesis Number of Students/Group Industry Project / In-house Outcome
2019 – 20 Effect of Gust on Performance of Vertical Axis Wind Turbine 4 In House On going
Effect of Solidity on the Performance of a Hybrid VAWT 4
2018-19 Effect of Solidity on the Performance of VAWT 4 In House Finished
2014-15 Tribological Behaviour of UHMWPE – Talc composite 4 In House Finished
2012-13 Optimization of Spring seat Geometry by Numerical Study for a pneumatic actuator 4 Instrumentation Limited, Palakkad Finished
2011-12 Numerical Study of Artificial Joints coated with UHMWPE 4 In House Finished
Year Title of the Project/Thesis Number of Students/Group Industry Project / In-house Outcome
2019-20 Effect of Geometrical parameters of butterfly shaped VAWT 1 In House On-Going
2018 – 19 Optimzation of Airfoil shapes for improved performance in VAWT 1 In House On going
Experimental analysis of a VAWT for improved performance 1
2017 – 18 Tribological behaviour of UHMWPE – Graphite nano particle composite In House Finished
Tribological behaviour of UHMWPE – Carbon nano particle composite 1
2012-13 Numerical Study of Stretch forming Process of rocket Structures 1 I.S.R.O Finished

Funded Research Projects

  • Teacher Associateship for Research Excellence
    Date of Submission : December 2019
    Name of the Funding Agency : Science and Engineering Research Board (SERB)
    Project Grant / Assistance Requested (Rs.) : 5.6 lakhs
  • Design and Testing of an Optimized Vertical Axis Wind Turbine for Low Wind Speeds
    Date of Submission : 28 June 2018 (awaiting review)
    Name of the Funding Agency : Science and Engineering Research Board (SERB)
    Project Grant / Assistance Requested (Rs.) : 22.19 lakhs

Workshops Attended

  • Participated in Two Weeks workshop on Engineering Mechanics (IIT Bombay)
    Duration : November 26, 2013 to December 6, 2013
  • Participated in Fourth Summer School In Tribology
    Organised by : Indian Oil Institute of Petroleum Management
    Duration : June 24, 2012 to June 29, 2012
  • Participated in Mathematical Modelling and applications to Industrial Problems (N.I.T. Calicut)
    Duration : March 28, 2011 to March 31, 2011

Seminars, Workshops and Conferences

Name of the International Seminar/Workshop/Conference Date Name of Organizing Institution & Venue
International Conference on Mathematical Modelling and Applications to industrial Problems March 28-31, 2011 N.I.T. Calicut
COSMA December 14-16, 2011 Amrita Vishwa Vidyapeetham
Two weeks ISTE workshop on Engineering Mechanics November 26 - December 9, 2013 Amrita Vishwa Vidyapeetham


Publication Type: Book Chapter

Year of Publication Title


S. P. Kumar, K. Reddy, S. Narendra, Unnikrishnan D., and Dr. Meera Balachandran, “Performance Enhancement of UHMWPE with Surface Functionalized Multiwalled Carbon Nanotubes/Graphite”, in In Structural Integrity Assessment, R. V. Prakash, R. Kumar, S., Nagesha, A., Sasikala, G., and Bhaduri, A. Kumar, Eds. Singapore: Springer Singapore, 2020, pp. 231-240.[Abstract]

Carbon nanostructures have been effectively used to reinforce polymers due to their excellent mechanical propertiesMechanical properties. This paper investigates the thermal and mechanical properties of ultra-high-molecular weight polyethylene UHMWPEUHMWPE nanocompositesNanocomposite reinforced with acid-modified multi-walled carbon nanotubes (MWCNT)Multi-Walled Carbon Nanotubes (MWCNT) and graphiteGraphite. The UHMWPEUHMWPE nanocomposites were prepared by melt mixing at 200 °C. The test specimens were compression moulded at 215 °C and 7.36 MPa and mechanical and thermal properties were studied with respect to nanofiller content. Evaluation of mechanical and thermal properties of the nanocompositesNanocomposite showed that the addition of up to 1% MWCNTMulti-Walled Carbon Nanotubes (MWCNT) to the UHMWPE significantly improved the tensile and flexural properties by 30%. In the case of graphiteGraphite, tensile properties decreased while flexural property increased. While the thermal properties such as specific enthalpy and percentage of crystallinity increased with nanofiller content. These observed results are attributed to the nanofiller content as well as the dispersion of the nanofiller in the polymer, which was substantiated by morphological analysis using transmission electron microscopy. However, at higher concentration of carbon nanofillers, both mechanical and thermal properties showed a slight decline due to the formation of agglomerates.

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Publication Type: Journal Article

Year of Publication Title


B. Mantravadi, Unnikrishnan D., Sriram, K., Mohammad, A., Dr. Laxman Vaitla, and Dr. Ratna Kishore V., “Effect of Solidity and Airfoil on the Performance of Vertical axis wind Turbine Under Fluctuating wind Conditions”, International Journal of Green Energy, pp. 1-14, 2019.[Abstract]

ABSTRACTVertical axis wind turbines (VAWTs) are frequently subjected to fluctuating winds in urban environments. In this paper, we studied the effect of airfoil thickness and solidity on the performance of VAWT under fluctuating wind conditions using three-dimensional computational fluid dynamics model with transition SST turbulence model. In this work, NACA 0012, 0015, and 0030 airfoils; two- and three-bladed VAWT are studied. The performance of VAWT is analyzed by varying fluctuation amplitude and frequency. From the results, it is observed that the cycle averaged CP increases with increase in fluctuation amplitude and airfoil thickness. For two-bladed VAWT, the cycle averaged CP reduces with fluctuation amplitude. In contrast, CP increases with fluctuation amplitude for three bladed. In case of fluctuation frequency, all the airfoils exhibited similar trend. The cycle averaged CP increases to a maximum value corresponding to fc = 1 Hz and then decreases with fc. NACA 0030 airfoil curve exhibits relatively higher CP and a uniform performance when compared to that of NACA 0012 and 0015. If the fluctuating wind is characterized by continuous change of frequency, it is desirable to employ the three-bladed VAWT and NACA 0030 air foil for better performance. This work intends to help during the design of VAWT under fluctuating wind conditions.

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S. Narendra K. Reddy, Unnikrishnan D., and Dr. Meera Balachandran, “Investigation and Optimization of Mechanical, Thermal and Tribological Properties of UHMWPE – Graphite Nanocomposites”, Materials Today: Proceedings, vol. 5, pp. 25139 - 25148, 2018.[Abstract]

The objective of this study is to investigate the influence of nano-sized graphite on the mechanical, thermal and wear characteristics of Ultra High Molecular Weight Polyethylene (UHMWPE) - Graphite (Nano 27) nanocomposites. Mechanical, wear and thermal properties were analyzed for nanocomposites containing 0.5, 1, 1.5 and 2% graphite and compared with unfilled UHMWPE. The wear properties of the nanocomposites were modeled and optimized for nano-graphite content and process parameters viz. sliding velocity and load. Response surface methodology (RSM) was utilized for modeling and optimization for reducing the wear rate in the nanocomposites. The degree of wear and the worn surfaces were evaluated by Field Emission Scanning Electron Microscope (FESEM).

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P. Deepak, V. M. Latheesh, A. Sumesh, Unnikrishnan D., and A. Santhakumari, “A Finite Element Analysis of Dissimilar Materials Diffusion Bonded Joints”, Materials Today: Proceedings, vol. 5, pp. 12484-12489, 2018.[Abstract]

Diffusion bonding is one of the solid state joining process, in which two clean metallic surfaces intended for joining were brought into contact at elevated temperatures under optimum pressure. In this work, an attempt is made to study the analysis and simulation of the two dissimilar materials Titanium alloy (Ti-6Al-4V) and Stainless Steel (SS304) which is having a wide application in the area of aerospace. Structural analysis was carried out to determine the equivalent stress, elongation and total deformation of the welded joint. Explicit Dynamics analysis using Ansys was used to predict the strength of Ti-6Al-4V/SS304 diffusion bonded joint. The result indicates that Equivalent stress is attained at 1.393GPa and total deformation is 0.00275m obtained at a time 0.000041seconds. The analysis shows that the fracture occurs in the region of titanium alloy and not in the region of HAZ.

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Publication Type: Conference Proceedings

Year of Publication Title


P. Deepak, V. M. Latheesh, A. Sumesh, Unnikrishnan D., and A. Santhakumari, “A Finite Element Analysis of Dissimilar Materials Diffusion Bonded Joints”, ICMMM2017. Materials Today: Proceedings, VIT, Vellore campus, India, pp. 12484-12489, 2018.


A. R. Krishna, A. Arun, Unnikrishnan D., and K.V. Shankar, “An Investigation on the Mechanical and Tribological Properties of Alloy A356 on the Addition of WC”, ICMMM2017, vol. 5. Materials Today: Proceedings, VIT, Vellore campus, India, pp. 12349-12355, 2018.[Abstract]

Aluminium alloys have broad applications in aerospace and automotive industries due to its high strength to weight ratio. But it is found that aluminium and its alloys are having poor tribological properties, hence its applications are getting limited. Studies reveal that the additions of reinforcements will enhance the mechanical and tribological properties. In this work an investigation was carried out to understand the mechanical and tribological properties of Aluminium matrix composites. Varying weight percentage (1-5%) of tungsten carbide particulates were added to aluminium A356 alloy using stir casting technique. Different compositions of these aluminium matrix composites were cast. The tungsten carbide particulate distribution in the cast was observed using energy dispersive spectroscopy. Various Experiments were carried out to study the Mechanical and Tribological properties of these Aluminium matrix composites. The results of this investigation reveal that the mechanical properties like hardness, tensile strength and tribological properties like wear resistance have improved up to 4 weight percentage of tungsten carbide. It was also found that varying weight percentage of tungsten carbide has no influence on the coefficient of friction. © 2017 Elsevier Ltd. All rights reserved.

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A. A., K. Ramesh Kumar, Unnikrishnan D., and A. Sumesh, “Tool Condition Monitoring of Cylindrical Grinding Process Using Acoustic Emission Sensor”, ICMMM2017. Materials Today: Proceedings, VIT, Vellore campus, India, pp. 11888-11899, 2017.[Abstract]

In this work, an experimental setup has been established consisting of a cylindrical grinding machine with piezo-electric sensor for capturing acoustic emission and its related hardware and software for signal processing. Acoustic signals are captured for the entire grinding cycle until the abrasive grains of the girding wheel become dull. Surface roughness produced by the process is recorded at fixed time intervals from the beginning to the end of the grinding cycle. Various features of the acoustic emission signatures such as root mean square, amplitude, ring-down count, average signal level are extracted from the time-domain are compared and correlated with the surface roughness generated by the grinding wheel on the work-piece. Good condition and dull condition of the grinding wheel is predicted using machine-learning techniques such as decision tree, artificial neural network, and support vector machine. Results indicate that there is a strong correlation exiting between the acoustic emission features and the surface roughness produced by the grinding process. Support vector machine trained with cubic kernel is appears to be predicting the grinding tool condition with greater accuracy comparing with decision tree algorithm and artificial neural network considered in this study.

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Details of Contribution


Batch Coordinator, class counsellor role, course mentor, coordination work during celebrations like Gurupurnima, Gokulastami, etc., accreditation work, admission related work, Anokha 2014 coordinator, AcME Faculty Coordinator


Co-curricular Activities: Ex-faculty coordinator - Kalakriti Arts club

Professional Body Memberships

  • Tribology Society of India