Qualification: 
M.E
Email: 
sr_deepak@cb.amrita.edu

Deepak Selvakumar R. currently serves as Assistant Professor (Sr. Gr.) at the Department of Mechanical Engineering, Amrita School of Engineering, Coimbatore Campus.

Recently, he has submitted his Ph.D. (2017) thesis at Indian Institute of Technology, Indore. His dissertation is titled, "Modelling of effective properties of nanofluids and numerical analysis of heat transfer around a circular cylinder". The objective of the research is to study the laminar forced convective flow and heat transfer of nanofluids flowing past a circular bluff body using different numerical approaches. The work also involves analytical modeling of effective thermo-physical properties of nanofluids using Particle Size Distribution (PSD) analysis.

Deepak joined Amrita Vishwa Vidyapeetham in late 2017, and he is currently serving as an Assistant Professor (Sr. Gr.) in Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore. He also worked in School of Mechanical Engineering, SASTRA University (2012 -2013) as an Assistant Professor.

Education

  • 2010: M.E. 
    College of Engineering, Guindy 
  • 2006: B. E. 
    K.L.N. College of Engineering

Experience

Year/Duration Affiliation
August 2017 - Present Assistant Professor (Sr. Gr.), Department of Mechanical Engineering, Amrita School of Engineering.
January 2014 - May, 2017 Senior Research Fellow, Department of Mechanical Engineering, Indian Institute of Technology (IIT) Indore.
July 2012 - December 2013 Assistant Professor, School of Mechanical Engineering, Sastra University.

Couses Handled

Theory Courses Laboratory Courses
PG Level PG Level
  • Computational Fluid
  • Dynamics and Heat Transfer
  • Compressor Technology
  • Vehicle Body Engineering
  • Computational Fluids Dynamics and Heat Transfer
  • Design and Analysis of Automotive Components
UG Level UG Level
  • Engineering Drawing
  • Advanced IC Engines
  • Non-conventional Energy Resources
  • Automobile Engineering
  • Alternate Fuels
  • Materials Handling & Management
  • IC Engines
  • Engineering Workshop

Research Interests

  • Thermo-physical properties of nano-suspensions.
  • Thermal smart materials and nano-suspensions with high or tunable thermo-physical properties, and their applications in solar energy or micro/nanoelectronics cooling systems.
  • Bluff body flows and heat transfer.
  • Fluid-Structure interactions.

Awards & Achievements

  • TA fellowship from Ministry of Human Resources and Development (MHRD), India to pursue Ph.D. at IIT Indore.
  • Young researcher award at First International Conference on Nanoscience and Nanotechnology – 2016 held at Vellore Institute of Technology (VIT).
  • Travel grant for young researchers by Council of Scientific and Industrial Research (CSIR), India.
  • Travel grant from Department of Mechanical Engineering, Indian Institute of Technology (IIT) Indore.

Reviewer in Journals

Deepak Selvakumar R is involved in the reviewing of research papers in following journals:

  • Powder Technology
  • Journal of Molecular Liquids
  • Journal of Applied and Computational Mechanics

Publications

Publication Type: Conference Proceedings

Year of Conference Publication Type Title

2018

Conference Proceedings

R. Deepak Selvakumar and Varsha, V. S., “A two-way coupled Eulerian-Lagrangian modeling of nanofluid flow and heat transfer around a square cylinder”, Third International Conference on Nanomaterials: Synthesis, Characterization and Applications (ICN 2018)). MG University, Kottayam, Kerala, India, 2018.

2017

Conference Proceedings

R. Deepak Selvakumar and Dhinakaran, S., “Discrete phase modeling of nanofluid flow around a circular cylinder”, 2nd International Conference on Experimental and Numerical Flow and Heat Transfer (ENFHT ‘17). Barcelona, Spain, 2017.

2016

Conference Proceedings

R. Deepak Selvakumar and Dhinakaran, S., “Thermal performance of nanofluids in flow around a circular cylinder – A mixture model based multi-phase study”, International Conference on Recent Trends in Engineering and Material Sciences (ICEMS - 2016)., . Jaipur National University, Jaipur, Rajasthan, 2016.

2016

Conference Proceedings

R. Deepak Selvakumar and Dhinakaran, S., “Unpredictable Nature of Nanofluid Flow: A Study on Effects of Uncertainties in Effective Viscosity”, 1st Global Colloquium on Recent Advancements and Effectual Researches in Engineering, Science and Technology (RAEREST ‘16), vol. 25. )., SJCET, Palai, Kerala, pp. 934 - 941, 2016.[Abstract]


A numerical analysis of steady, laminar and 2-D nanofluid flow around a circular cylinder has been carried out to showcase the effects of variable viscosity on flow characteristics. The governing equations of flow are solved using a finite-volume method based on SIMPLE algorithm. Three cases of simulations in which the effective viscosity of the nanofluid is calculated using (a) Classical Brinkman model, (b) Recent correlation from literature and (c) Experimental data from literature are performed. A comparative analysis of the three cases shows that the flow characteristics of nanofluids become unpredictable due to the uncertainties in effective viscosity. In the first case, nanofluids show an accelerated flow with earlier flow separation and longer wake bubbles. Whereas, in other two cases, a decelerated flow with delayed flow separation is noted. This is the first time; a decelerated flow of nanofluids has been reported in literature. It is understood that, flow characteristics of nanofluid vary both qualitatively and quantitatively due to the variations in effective viscosity. This work showcases the importance of precise effective viscosity models to clearly understand the flow features of nanofluids.</p>

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2016

Conference Proceedings

R. Deepak Selvakumar and Dhinakaran, S., “A new model for effective viscosity of nanofluids based on particle size distribution (PSD) analysis”, 1st International Conference on Nanoscience and Nanotechnology (ICNAN ’16). Vellore Institute of Technology (VIT), Vellore, Tamilnadu, India., 2016.

2014

Conference Proceedings

R. Deepak Selvakumar, “Effect of variation in effective properties of nanofluids on flow and heat transfer characteristics in single phase modelling of nanofluid flow around a circular cylinder”, 2nd International Conference on Nanostructured Materials and Nanocomposites (ICNM ‘14). MG University, Kottayam, Kerala, 2014.

2014

Conference Proceedings

R. Deepak Selvakumar and Dhinakaran, S., “Impact of effective properties of nanofluids in flow and heat transfer characteristics of nanofluid flow around a sphere”, 2nd International Conference on Nanostructured Materials and Nanocomposites (ICNM ‘14). MG University, Kottayam, Kerala, 2014.

Publication Type: Journal Article

Year of Conference Publication Type Title

2017

Journal Article

R. Deepak Selvakumar and Dhinakaran, S., “Forced Convective Heat Transfer of Nanofluids Around a Circular Bluff Body with the Effects of Slip Velocity using a Multi-phase Mixture Model”, International Journal of Heat and Mass Transfer, vol. 106, pp. 816 - 828, 2017.[Abstract]


<p>Forced convective heat transfer around a circular cylinder using nanofluids has been numerically analyzed employing a mixture model based Multi-Phase Modeling (MPM) approach. A hot circular cylinder with a constant wall temperature is exposed to a free stream of Al2O3–H2O nanofluid at ambient temperature. The flow is steady, laminar and two dimensional in the Reynolds number range of 10⩽Re⩽40. The governing equations of flow and energy transfer along with the respective boundary conditions are numerically solved using a Finite Volume Method (FVM) based on SIMPLE algorithm. The prime aim of this work is to highlight the effects of slip velocity, volume concentration and diameter of nanoparticles on heat transfer characteristics of nanofluids. Results indicate that heat transfer increases with increase in nanoparticle volume fraction. The highest mean Nusselt number is observed at ϕ=5% at any Reynolds number. It is also noted that, nanofluids with smaller nanoparticles result in higher heat transfer rates. Particular attention has been paid to the variation of heat transfer characteristics when the modeling approach is switched from Single-Phase Modeling (SPM) to mixture model based MPM. It is revealed that higher heat transfer rates are observed in MPM which considers the effects of slip velocity</p>

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2017

Journal Article

R. Deepak Selvakumar and Dhinakaran, S., “Effective Viscosity of Nanofluids — A Modified Krieger–Dougherty Model Based on Particle Size Distribution (PSD) Analysis”, Journal of Molecular Liquids, vol. 225, pp. 20 - 27, 2017.[Abstract]


Nanofluids (colloidal suspensions of nano-sized metallic and non-metallic particles in conventional cooling liquids) are well known for their potential to enhance the thermal transport. Excessive attempts have been made to utilize these nanofluids in heat transfer applications and energy conversion systems, etc. Effective viscosity of nanofluids is a pivotal parameter in determining the flow and heat transfer performance of nanofluids. The prime aim of this work is to develop a new model for effective viscosity of nanofluids. The influences of aggregation and interfacial layer formation have been incorporated into the Krieger–Dougherty (K–D) equation to predict the effective viscosity of nanofluids. This is accomplished by characterizing the clusters based on particle size distribution (PSD) analysis. Furthermore, attention has been paid to showcase the effects of cluster volume fraction, particle diameter and surfactants on effective viscosity of nanofluids. The predicted results are in good agreement with a wide variety of experimental data from literature consisting of different combinations of nanoparticles and basefluid. The accuracy and ease of application of the newly proposed model make it more interesting and useful for practical engineers in design and development of heat transfer systems using nanofluids.

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2017

Journal Article

R. Deepak Selvakumar and Dhinakaran, S., “Analysis of particle migration and heat transfer in a nanofluid flow around a circular cylinder using a two-way coupled Eulerian-Lagrangian approach”, International Journal of Heat and Mass Transfer (Elsevier), pp. 282-293, 2017.

2016

Journal Article

R. Deepak Selvakumar and Dhinakaran, S., “A Multi-level Homogenization Model for Thermal Conductivity of Nanofluids Based on Particle Size Distribution (PSD) Analysis”, Powder Technology, vol. 301, pp. 310 - 317, 2016.[Abstract]


<p>Nanofluids are engineered suspensions of fine nanoparticles in basefluids. Owing to their enhanced thermal conductivity, nanofluids find applications in many heat transfer and energy conversion systems. Enhanced thermal conductivity of nanofluids is attributed to several mechanisms such as Brownian motion, interfacial layer formation and particle clustering, etc. Many theoretical models have been proposed based on these mechanisms to predict the thermal conductivity of nanofluids. But, still there is an uncertainty in predicting the thermal conductivity of nanofluids. In this work, a simple model to predict the thermal conductivity of nanofluids based on particle size distribution and multi-level homogenization has been proposed. This model considers the effects of Brownian motion, interfacial layer formation and particle clustering. Particle clusters are characterized based on particle size distribution (PSD) analysis and their thermal conductivity is calculated exclusively. The complex nanofluid system is subdivided into smaller systems and a level by level homogenization is carried out to determine the effective thermal conductivity of nanofluids. Present model predictions are compared with experimental results from literature and are found to match well. Contributions of aggregation, Brownian motion and interfacial layer formation are individually exhibited. This model aids to develop a better understanding of the thermal transport in nanofluids and hence, is expected to contribute to several industrial applications.</p>

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2016

Journal Article

R. Deepak Selvakumar and Dhinakaran, S., “Nanofluid Flow and Heat Transfer Around a Circular Cylinder: A Study on Effects of Uncertainties in Effective Properties”, Journal of Molecular Liquids, vol. 223, pp. 572 - 588, 2016.[Abstract]


<p>Nanofluids are considered to be the coolants of future; in the interest of their enhanced thermal conductivity. But, the dilemma in prediction of their effective properties is a major problem in assessing their real heat transfer potential. A numerical analysis of flow and heat transfer from a hot circular cylinder exposed to an uniform stream of nanofluid has been performed to showcase the effects of uncertainties in effective properties of nanofluids. Water based nanofluids with ultra-fine Titania (TiO2) nanoparticles with the particle volume fraction varying from 0% to 2% have been considered. A steady, laminar, 2-D flow with forced convective heat transfer has been taken into account in the Reynolds number range of 1≤Re≤40. Finite-volume method based on SIMPLE algorithm is used to solve the governing equations. Three cases of analysis have been carried out in which the thermal conductivity and viscosity of nanofluids are determined using two sets of theoretical models and one set of experimental thermal conductivity and viscosity data from literature, respectively. Flow and heat transfer characteristics of nanofluids are found to be dependent on particle volume fraction and Reynolds number. Enhanced drag, altered wake lengths, modified flow separation and higher heat transfer rates are seen in nanofluids. But, a comparative scrutiny of the three cases; apparently shows that the flow and heat transfer characteristics differ both quantitatively and qualitatively between each case. This work promulgates the importance of a precise effective thermal conductivity and viscosity models for nanofluids to promote the real time application of nanofluids in developing high efficiency heat transfer systems.</p>

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Faculty Research Interest: 
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