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Savsani Vizankumar Virendrakumar

Roll Number: AE18D205
PH.D - Aerospace Engineering
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Omkar Walvekar

Roll Number: AE19D750
PH.D - Aerospace Engineering
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Keywords:
Aerospace, Aircraft Design, Aerodynamics, Fluid Flows, Computational Study, CFD, Experimental Study, Aircraft Performance, Wing, Propeller, Distributed Electric Propulsion, UAM, Urban Air Mobility
I, Omkar Walvekar, am a Ph.D. candidate and recipient of the PMRF fellowship in the Dept. of Aerospace Engineering at IIT Madras. My research is on the Integration of Aerodynamics and Propulsion systems in Electric Aircraft. After a Master's in the same research area and having published in international conferences and an international patent to my name on high-lift configuration for wing-propeller systems, I have a broad range of experience in theoretical, computational/simulation-based, and experimental aspects of research. My core areas of expertise are Aircraft Design, Aerodynamics, Fluid Flows, Computational (CFD) and Experimental Studies for Aircraft Performance Estimation. I have worked with several teams, research groups and startups over a variety of topics for academic and industrial R&D, and business case studies, as a team member/Project lead/R&D in-charge. I have a demonstrated history of excellent work ethic, a passion for technology and a dedicated approach to my goals.
Skill Set:
Technical Skills: Computational study ~ Numerical analysis ~ Data analysis
Computational Skills: ANSYS Fluent ~ CFX ~ MATLAB ~ C++ ~ Python ~ FORTRAN ~ SolidWorks
Lab Affiliations:
Center Name: National Centre for Combustion Research and Development (NCCRD)

Abstract:

Numerical methods are used to determine the improvement in the aerodynamic characteristics of a novel canard UAV fitted with electrically powered propellers by subjecting the aircraft to a constant freestream at varying angles of attack for several propeller configurations using different slipstream modelling techniques. The slipstream is simulated using a modified actuator disk model and rotating propeller profiles. The four propeller configurations being studied are, pushers only, tractors only, tractors with a tail rotor, and tractors with tail and tip rotors. The configuration with tractors and a tail rotor provides the highest increase in the lifting capacity of the aircraft for positive angles of attack while the offset tractors-only configuration has the highest lift-to-drag ratio, in the actuator disk studies. A hybrid RANS-LES numerical turbulence model called Detached Eddy Simulation is used for the unsteady cases. This results in outperformance of the pusher configuration as compared to the tractor configuration. The tractors deteriorate the aerodynamic efficiency of the UAV more than the pushers. Although the tractor configuration injects momentum directly into the boundary layer of the wing, at higher angles of attack at the given ambient conditions, it proves to be insufficient to avoid the separation of the boundary layer resulting in a separation bubble enlargement towards the trailing edge of the wing as the angle of attack increases. The better aerodynamic efficiency of the pusher configuration can be explained by the smoother flow over the suction surface as visualized by the velocity streamlines. The study also shows a trending decrease in the contribution of the viscous drag component for the two configurations for both numerical approaches.

Prabhash Kumar

Roll Number: AM17D205
PH.D - Applied Mechanics
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Chinmaya Kumar Sahoo

Roll Number: AM19D009
PH.D - Applied Mechanics
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ANSYS, ABAQUS, MATLAB, FORTRAN, LabVIEW, CATIA, SOLIDWORKS, Fibre-reinforced composite, Universal testing machine (UTM), Fatigue machine, Impact test setup, Digital image correlation (DIC), Acoustic Emission(AE) techniques, Infrared (IR) camera, High speed camera
I am a doctoral research scholar at the Smart Material Characterization Lab (SMCL), Department of Applied Mechanics, Indian Institute of Technology Madras (IITM) since 2019. The broad area of my research includes the post-repair behaviour of patch-repaired fibre hybrid composites made up of carbon and glass fibres, which can be helpful in real-life repair applications such as impact due to runway debris, tool drop during maintenance, bird strike, etc. I have a keen interest in studying the mechanics of composite materials, numerical modelling, and experimental characterisation. I am well acquainted with fabrication of fibre-reinforced composite and handling mechanical characterisation machines like universal testing machine (UTM), fatigue machine, impact test setup and measuring units like digital image correlation (DIC), and acoustic emission techniques, infrared (IR) camera, high speed camera. I have been exposed to programming tools like MATLAB, FORTRAN, LabVIEW, 3D modelling tools like CATIA, SOLIDWORKS, and Finite Element tools ANSYS, ABAQUS, developing the VUMAT subroutine during my research and have expertise in numerical modelling. My contribution to the scientific community is reflected in the three publications in international journals and the presentation of my work at the 23rd International Conference on Composite Materials (ICCM 23) at Belfast, Northern Ireland. Aside from Ph.D. research, I have worked on an industrial project for Caterpillar to study the loosening of a bolt and nut joint due to cyclic vibration for different displacement amplitude. I have also helped to characterise the compressive, flexural and water absorption behaviour of glass fibre reinforced concrete (GFRC) for Vedic Architects and Sculptors based on ASTM standards. I have involved to provide practical project-based learning and engaging course structure for a better understanding of students during my teaching assistantship work in different UG and PG courses.
Skill Set:
Technical Skills: Universal Testing Machine (UTM), Fatigue Machine, Impact, Digital Image Correlation (DIC), Acoustic Emission (AE) Sensor, Infrared Camera, High Speed Camera.
Computational Skills: ABAQUS, ANSYS, CATIA, SOLIDWORKS, MATLAB, FORTRAN, LabVIEW
Lab Affiliations:
Center Name: Smart Material Characterization (SMC) Lab

Abstract:

Hybrid composites comprising glass and carbon fibres have significantly increased applications due to their synergetic effect. Fibre hybridisation generally overcomes the limitation of one fabric by the benefit offered by the other fabric. However, during the service life, a structure may undergo various damages because of mechanical load or environmental conditions, which reduces the component's strength. In this work, the carbon-glass hybrid composite was repaired using the adhesive patch repair technique. The post repair behaviour is investigated in high velocity impact, tensile static and fatigue loading environments. In the impact study, the stacking sequence of plies in a patch and the effect of different patches were studied. A 3D finite element model was also developed in ABQUS with the VUMAT subroutine and validated with the experimental results. It is observed that the placement of glass plies and the number of glass plies in the patch significantly enhance the impact resistance of the specimen. This 3D finite element model was further modified to incorporate the effect of resin fill in the hole area of a repaired specimen. With the help of the modified model, the effect of patch size and stacking sequence for a fixed parent specimen was studied. In the tensile study, the effect of the patch parent stacking sequence and the patch stiffness were analysed with the aid of digital image correlation (DIC) and acoustic emission (AE). The least stiff patch with parent laminate having glass ply as the exterior ply exhibited the highest strength recovery during the tensile loading. Furthermore, tensile-tensile fatigue tests were performed for the drilled and repaired specimens to understand the behaviour of parent stacking sequences. In the fatigue environment, the parent specimen with glass plies at the exterior layer performed better than the carbon plies at the exterior layer.

Sindhu K J

Roll Number: BT16D025
PH.D - Biotechnology, Biomedical devices and technology
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Vidya P Warrier

Roll Number: BT17D006
PH.D - Biotechnology, Biomedical devices and technology
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research scholar, interested in academia and industry
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Saif Ul Mehdi

Roll Number: CH16D200
PH.D - Chemical Engineering
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adsorption, metal organic framework, process optimization
As a PhD candidate in Chemical Engineering at Indian Institute of Technology, Madras, I have over six years of experience in teaching and research in the field of adsorption. My passion is to advance the knowledge and applications of adsorption processes for wastewater treatment and environmental protection. I have published a paper in Elsevier on the synthesis and performance of a novel metal organic framework for cadmium adsorption, which is a common and toxic pollutant found in landfills. I have expertise in optimizing and analyzing adsorption processes using various software tools, such as Origin, Design Expert, MATLAB and Python. I have also obtained multiple certifications in Python and Data Science from the University of Michigan, which enable me to apply data analysis and visualization techniques to my research. In addition, I have experience in teaching and mentoring undergraduate students in chemical engineering courses and experiments, such as Heat and Mass Transfer and Chemical Reaction Engineering. I am motivated by the challenge of solving complex problems and contributing to the environmental and social impact of my research.
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Technical Skills: Statistical data analysis, Design of Experiments
Computational Skills: MATLAB, Python, R Programming
Lab Affiliations:
Center Name: Chemical Engineering Laboratory, IIT Madras

Abstract:

Anoop P Pushkar

Roll Number: CH18D200
PH.D - Chemical Engineering
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Catalysis, Density Functional Theory, Quantum chemistry, Heterogenous catalysis, Computational spectroscopy, Propane oxidative dehydrogenation, Ceria, Molecular Modeling, Ab-Initio simulations, Raman, IR, Reaction mechanisms, Kinetics
I am a research scholar, working in the field of computational heterogeneous catalysis. I carry out atomistic and mesoscopic scale simulations to understand the catalyst structure, reaction mechanisms, and kinetics.
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Subhan Kumar Pal

Roll Number: CH19D015
PH.D - Chemical Engineering
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Harisankar S

Roll Number: CH20D750
PH.D - Chemical Engineering
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Subin P George

Roll Number: ED19D754
PH.D - Engineering Design
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Lokesh N

Roll Number: EE17D006
PH.D - Electrical Engineering
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Power Quality, Microgrid, Control of Power Converter, HIL testing, Model based Design, Renewable Energy Sources
Currently working on Grid Code Compliance Study and Verification for Caterpillar's inverter based energy sources. Ph.D. in power electronics applications to power systems. Skilled in modeling and control of power converters. Hands-on experience with Opal-RT used as a hardware-in-loop (HIL) for the control of DSTATCOM, DVR and UPQC hardware prototypes. My areas of interest are control of power converters for power conditioning, microgrid, energy storage and electric vehicle applications.
Skill Set:
Technical Skills: Power Quality, ~ Control of Power Converters, ~ Microgrid, ~ Electric Vehicles
Computational Skills: Basic programming of C, Python ~ Matlab-Simulink, ~ Vector-CANape, ~ Opal-RT, ~ GIT, ~ GitHub
Lab Affiliations:
Center Name: Power Quality and Microgrid Laboratory

Abstract:

Distributed generation (DG) is a dynamic trend connecting renewable energy sources (RES) like solar and wind to the grid alongside conventional sources. The rapid adoption of RES and power electronics at industrial and residential levels cause power quality (PQ) issues. Custom power devices (CPD) emerged to enhance PQ due to strict DG regulations and consumer demand. One of the CPDs, distribution static compensator (DSTATCOM) addresses current related PQ issues, while dynamic voltage restorer (DVR) tackles voltage-related concerns. Unified power quality conditioner (UPQC) combines DSTATCOM and DVR using the conventional back-to-back (BTB) converter topology, yet DVR is underutilized due to rare voltage issues. To improve converter utilization factor, the BTB converter is replaced with a reduced switch count converter (dual-output converter, DOC) for UPQC operation. However, the DOC topology requires control schemes capable of managing converter neutral-point voltage (NPV) alongside current and voltage. Implementing the control scheme in the natural abc reference frame reduces computation and eliminates the errors due to signal transformations. While implementing conventional sliding mode control (SMC) in the abc frame, it experiences coupling issues among the phases which makes the controller difficult to generate switching pulses. Considering these points, an improved sliding mode control is proposed in abc frame, which incorporates control of converter NPV along with current or voltage control and also addresses the coupling issue. Simulation and experiments confirm the proposed control scheme's effectiveness for the four-leg DOC based DSTATCOM and DVR under diverse conditions. Finally, the performance of the proposed scheme for four-leg DOC based UPQC is verified through simulation studies.

Shashank Shekhar

Roll Number: EE17D022
PH.D - Electrical Engineering
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SHAMIK BHATTACHARYYA

Roll Number: EE18D005
PH.D - Electrical Engineering
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Himanshu Patel

Roll Number: EE18D420
PH.D - Electrical Engineering
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Keywords:
SiC based grid connected Power Electronics converters, LV and MV grid connected Solid State Transformer (SST), MV grid connected SST, Motor drives, MV CHB fed drives, Fault tolerant in the CHB fed drives,
Born in Uttar Pradesh, India, in 1997. I received the B.Tech degree in electrical engineering from the National Institute of Technology Agartala, India, in 2018. I completed my B.Tech final year from IIT Madras, India as an exchange student in 2017-18. I am currently working toward the Ms+Ph.D. degree in electrical engineering with the Indian Institute of Technology Madras, India. My current research interests include LV and MV motor drives applications, Grid connected converters, MV and LV grid connected Solid State Transformer (SST) technology, and SST technology for motor drives applications.
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Vibhav Pandey

Roll Number: EE18D421
PH.D - Electrical Engineering
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SiC MOSFET, EMI/ EMC, Gate driver, Active gate driver.
I was born in Uttar Pradesh, India. I received the B.Tech degree in electrical engineering from the National Institute of Technology Agartala, Tripura, India, in 2018. He is currently working toward the Ph.D. degree in electrical engineering with the Indian Institute of Technology Madras, Chennai, India. In 2017, he was with the Indian Institute of Technology Madras, Chennai, India, as an exchange student in his final year B.Tech. His current research interests include active gate driving techniques and snubber circuit design for SiC MOSFET and EMI/EMC mitigation echniques for SiC based converters.
Skill Set:
Technical Skills: Altium PCB Design, Ansys Q3D Extractor, OrCAD, Quartus (FPGA), LabVIEW, MATLAB, PLECS, LtSpice, PSIM.
Computational Skills: Block diagram based programming in Quartus software for Altera FPGA and CPLD, Latex, Inkspace, Microsoft, GIMP and Visio.
Lab Affiliations:
Center Name: Power electronics and drive lab (ESB-101, IIT Madras)

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Nitheesh R

Roll Number: EE19D026
PH.D - Electrical Engineering
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Bidirectional converters, Dual Active Bridge (DAB), Resonant converter, Small-signal, System modeling, Predictive control, Inverters
Nitheesh R received the B.Tech. degree in Electrical and Electronics Engineering from the College of Engineering, Trivandrum, India, in 2014, and M.Tech. degree in Power Electronics from the National Institute of Technology, Tiruchirappalli, India, in 2017. He is currently working toward a Ph.D. degree in Electrical Engineering with the Indian Institute of Technology Madras, Chennai, India. Before this, he had two and a half years of industrial experience in research and development in electrical engineering. His research interest includes bidirectional resonant converter topologies for renewable energy, microgrid and EV applications, inverters, and predictive control.
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Computational Skills: Embedded C, C++, MATLAB/Simulink, PLECS, LTSpice, KiCad, Code Composer Studio, LaTeX, AutoCAD, Solid Edge
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Center Name: ESB 107 - Power Electronics Simulation and Hardware Lab

Abstract:

Satyam Kumar

Roll Number: MA17D002
PH.D - Mathematics
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Debadatta Sethy

Roll Number: ME15D044
PH.D - Mechanical Engineering
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Signal Processing, XFEM modelling, Arduino Uno biomedical sensor, Non-Destructive Testing, Ultrasonics, Vibration, Stress Analysis, Material Science, Powder metallurgy, Nano-spectroscopy (XRD, SEM, Raman Intensity), Stress Analysis
As a research associate at the Center for Nondestructive Evaluation (CNDE), Indian Institute of Technology Madras, India, I am leading multiple industry and government-funded projects in the area of nanomaterials for NDE applications. Strain sensors, improvement of thermal signature, and biosensors by smart GNP coated lycra textile are a few of the many things achieved using these graphene nanoplatelets (GNPs). I am researching various graphene-doped functionalized polymer-based sensor synthesis processes and testing them for structural health monitoring (SHM) applications in structures, Vibration monitoring, piezo-resistive action and human health monitoring. Also, I am performing numerical simulations using the Finite Element (FE) method to understand the mechanical deformations that lead to a rise in piezo-resistive actions during static and dynamic testing. My doctoral thesis focused on “High sensitivity GNP-doped PMMA-based piezoresistive 2D strain sensors for SHM applications”. I have developed a smart-spray-coated sensor out of graphene nanoplatelet, an allotrope form of carbon as my smart sensing base material with substrate poly (methyl methacrylate) (PMMA). Scotch tape erosion method with spray coating technique has been implemented to coat upon a) metals, b) GFRP composites, and c) lycra denim textile to monitor the mechanical deformation in terms of piezoresistive action. This sensor has also helped in vibration monitoring in SS304 and also in human locomotion. I worked on the synthesis of spray-coated GNP-doped Poly (methyl methacrylate) (PMMA) sensor. By scotch tape erosion the intrinsic resistance can be modified and again can be redone once the sensor gets damaged by the spray coating technique. My thesis work involved extensive smart mechanical strain sensor synthesis from GNPs and mechanical experimentation upon structures and human body health monitoring, backed by rigorous nano-data analysis. Also, I have extensive experience with wave propagation simulations and crack propagation simulations both by an experimental approach and XFEM approach by Abaqus 6.12 and Matlab 2016 software. Also, I have compared my GNPs sensor in crack monitoring potential against conventional ultrasonic transducer. I have developed my own smart sol-gel coated GNPs sensor upon LYCRA denim textile for wearable purposes for human body monitoring.
Skill Set:
Technical Skills: • Matlab & C-Programming • SEM Inspect-F50 Operating experience • Optical Microscopy • Ultrasonic Welding for Lithium-Ion battery electrodes • Nano, macro & micro level chemical synthesis • CATIA & ABACUS CAE Software, ANSYS workbench, Solid works, Autocad modelling • Computed Microscopy(CT-Scan) • Raman Microscopy • XRD analysis • Instron UTM Mechanical Testing • Nano sensor development • VARTEM composite Fabrication • NI-Lab view • FTIR operator
Computational Skills: MATLAB, LAB VIEW, ARDUINO UNO, FEM ANALYSIS (ABAQUS)
Lab Affiliations:
Center Name: Center for Non-Destructive Evaluation, CNDE Lab , MDS

Abstract:

Graphene nanoplatelets (GNPs) is a 2-dimensional crystalline allotrope of carbon that is SP2 hybridized and densely packed in a honeycomb crystal lattice. GNPs are the genesis of a range of disruptive technologies spread across many industrial sectors. The unique properties of graphene, strength, surface area, flexibility, and high thermal and electrical conductivity help graphene sense the environmental changes during structural health monitoring purposes. Here in the thesis, the GNP sensors provide a multifunctional approach in the context of (a) mechanical strain sensing for SHM applications, (b) improved thermal signature coatings for SHM applications, and (c) bio-mechanical sensing for human locomotion monitoring. The research reported in this thesis investigates the interaction of piezoresistivity and mechanical strain associated with realistic deformation in terms of monotonic, step and cyclic loading. Also, it has been aimed to monitor the delamination and crack during thermo-elastic behaviour by smart skin graphene nanoplatelet (GNPs) based strain sensor. In the analysis of smart sensing, the change in resistance was observed in cases of coating the structures and has been validated with commercial strain sensors. Sensors have shown good response and stability under dynamic and static loading. The scotch tape erosion method is used to tailor the initial resistance. A GF of 55 (±0.5), 70 (±2), and 77 (±1) were obtained for Ro of 1 kΩ, 7 kΩ and 21kΩ, respectively. The results show that the smart layers exhibit a significantly higher sensitivity than the commercial strain gauge. The GF is found to be dependent upon the GNP density on the surface. Also, it has helped in the investigation of thermal management in the case of composites and metals too by improving thermal signatures. The understanding of the interaction of smart strain sensors out from carbon allotrope called graphene nanoplatelets in metals, composites like GFRP and human health monitoring is further extended to natural frequency sensing in case of metals like SS304 during defect and without defect investigation. This has been validated with a commercial-based strain gauge whose sensitivity is less. Human disease monitoring in terms of flexibility has been validated with various resistance changes in healthy and unhealthy calf muscles and with Doppler ultrasonography. This GNPs-based sensor has also helped in sensing human locomotion in the neck, calf muscles and biceps. Also, novel research has been mentioned in this thesis on the context of a smart wearable sensor, called Lycra denim textile sensor which has helped in sensing human locomotion. Also, this sensor has helped in monitoring the natural frequency of SS304, with and without defect specimen in terms of piezoresistivity. In the case of metals like aluminium of grade 2024-T351, GNPs/PMMA sensor has helped in sensing mechanical strain at different zone of temperatures in pre-processing, during temperature and post-processing techniques. The basic goal is to study sensor performance under heating type during monitoring of cold and heat-treated aluminium specimens. The intelligent strategy for health monitoring potential ability opens new possibilities for implementing the sensor in future with graphene of high quality in a clean and straightforward way. Hence, GNP spray-coated sensors can be a potential candidate for structural health monitoring in near future.

Papetla Nikhil

Roll Number: ME15D428
PH.D - Mechanical Engineering
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VIPPARLA SRIKANTH

Roll Number: ME16D035
PH.D - Mechanical Engineering
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Trilochan Prasad Nanda

Roll Number: ME17D003
PH.D - Mechanical Engineering
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Kushal Prasad Choudhary

Roll Number: ME18D018
PH.D - Mechanical Engineering
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Interfacial flow, Faraday instability, Frozen wave instability, OpenFOAM, Sloshing, Binary-liquid system, interFoam
My name is Kushal Prasad Choudhary, I am an upcoming researcher in the field of fluid mechanics. Currently, I am improving my skills and doing my research in IIT Madras as a PhD Scholar.
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Technical Skills: Experimental equipment: High-Speed Camera, Beckhoff Automation for linear motor, Shadowgraphy, Goniometer and Rheometer.~ Image Processing: OpenCV using Python interface (Computer Vision Version 2.0) ~ Plotting and Analyses: Gnuplot, MATLAB, HHT (Basics)~ Documentation Software: MS Word, Latex~
Computational Skills: FORTRAN95 (Parallel), MATLAB (Serial), OpenFOAM, ANSYS (Fluent)
Lab Affiliations:
Center Name: Fluid Systems Laboratory

Abstract:

Liquid-liquid interactions occur in many applications, such as solvent extraction, oil recovery plants, emulsification, and washing of organic phases. The exchanges may become more significant once the container experiences vibrations. In some cases, such as mixing, the requirement of instability between the immiscible liquids is appreciated, whereas, in the case of solvent extraction, the instabilities have to be avoided. There are primarily three types of vibrations studied in the literature: 1. Oscillation along the vertical axis, 2. Oscillation along the perpendicular to the interface, and 3. Oscillation along the tangential to the interface (Frozen wave instability). In the present work, the second and third types of oscillations are considered to investigate the volumetric effects of each liquid on their instability threshold and wave amplitude response.

Dhanalakota Praveen

Roll Number: ME18D705
PH.D - Mechanical Engineering
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Keywords:
Electronics cooling, Thermal management, Heat pipes, Heat transfer, Computational Fluid Dynamics, Thermal Engineering
Praveen is currently a PMRF Ph.D. candidate under the guidance of Prof. Arvind Pattamatta and Prof. Pallab Sinha Mahapatra. He completed his B.Tech in Mechanical Engineering from NIT Trichy. His research interests are thermal management and multi-scale cooling techniques. He is currently developing enhanced flat thermosyphon heat sinks by improving condensation and pool boiling heat transfer through surface wettability and minichannels. The research work comprises both experimental and numerical studies.
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Technical Skills: Thermal Engineering, Computaional Heat and Fluid Flow, Infrared Thermography, High-Speed Imaging
Computational Skills: C, C++, Python, Ansys Fluent, Icepak, Solidworks, MATLAB
Lab Affiliations:
Center Name: Heat Transfer and Thermal Power Lab

Abstract:

Higher functionality electronics demand cooling devices that use boiling and condensation to dissipate large heat through latent heat. Thermosyphon is a cost-effective wickless heat pipe that can dissipate heat by boiling and condensing the working fluid. In the present study, novel configurations of flat thermosyphon heat sinks are developed, and their thermal performance is investigated. First, the thermal performance of a compact flat thermosyphon is experimentally and numerically investigated with different working fluids, filling ratios, and the number of heat sources. It is observed that the flat thermosyphon is more reliable in cooling multiple heat sources than a single-phase cold plate. The thermal performance of the flat thermosyphon is then experimentally investigated for different combinations of evaporator and condenser surface wettabilities. A novel integrated flat thermosyphon heat sink (IFTHS) is then developed from the insights gained through the studies on compact flat thermosyphon. The IFTHS has a condenser with integrated hollow fins wherein the inner surface of the hollow fins is used for condensation, and the outer surface is used for air-side convective cooling. The thermal performance of the IFTHS is enhanced further through an evaporator with minichannels and a superhydrophobic condenser. The IFTHS outperforms conventional heat sinks in thermal performance, weight reduction, and energy savings. The IFTHS developed in the present work is a promising, cost-effective, and energy-efficient thermal management solution.

Abhinay

Roll Number: MM15D017
PH.D - Metallurgical and Materials Engineering
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Keywords:
Fretting wear, Tribology, Gas turbine engine, marketing, product manager
I would describe myself as a dynamic and accomplished PhD graduate in Metallurgical and Materials Engineering, with a strong foundation in the sciences and a passion for leadership and innovation. With a successful track record in marketing and product analysis, I am planning on taking up pivotal roles in corporate leadership and drive organizations to new heights.
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Sachin Latiyan

Roll Number: MM18D302
PH.D - Metallurgical and Materials Engineering
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CHIPPY ALPHONS AUGUSTINE

Roll Number: MM18D304
PH.D - Metallurgical and Materials Engineering
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Keywords:
Renewable energy technologies, Hydrogen generation, Photoelectrochemical and photocatalysis, Battery, Supercapacitor, Nanomaterials.
My name is Chippy Alphons Augustine and I am a research scholar in Department of Metallurgical and Materials Engineering, IIT Madras. I have completed my under graduation in Electronics and Comminication Engineering and post graduation in Nanoscience and Technology. My area research concentrated on photoelectrochemical studies of different materials for hydrogen evolution. I am synthesizing and analyzing materials based on different metal oxide clusters such as Metal Organic Frameworks(MOF) and Polyoxometalates( POM) and optimizing the results to enhance the efficiency of the current systems. During my five years of research experience, I have contributed in publishing five research articles. My endeavour is to pursue a challenging career in the field of renewable energy technologies, to bring out my innate skills and thus ensure the growth of the organization and myself, excel in innovative technology applications and develop world-class solutions to real-world challenges.
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Technical Skills: Programming Langages: C, python (Basic), Matlab (Basic) Other softwares: Origin pro, Xpert Highscore, MS office Nanomaterial synthesis and fabrication Physical characterisations and analysis XRD, SEM,TEM,UV-Vis Spectra. Fabrication of electrodes and corresponding electrochemical cell analysis CV,LSV,IMPE.EIS,Chronoamperometry.
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Center Name: 1. Materials Energy Manufacturing & Sustainability (MEMS) Group, Dept. of Metallurgical and Materials Engineering 2.Semiconducting Oxide Materials, Nanostructures and Tailored Heterojunction (SOMNaTH) Lab, and Functional Oxides Research Group (FORG), Dept. of Physics

Abstract:

One of the main challenges facing mankind in 21 st century is to supply the world’s population of sufficient energy to meet desired living standards. As the world faces growing concerns over climate change and the depletion of fossil fuel reserves, the need for sustainable and clean energy solutions has become critical. Hydrogen is a clean and versatile fuel with zero greenhouse gas emissions when consumed in fuel cells or hydrogen-based combustion engines. Being an energy carrier, it can store and deliver huge amount of energy. It’s only byproduct is water, making it an ideal replacement for fossil fuels that contribute to global warming and air pollution. Solar-driven photoelectrochemical catalysis is a promising pathway for producing hydrogen. This technique involves the use of solar energy to split water molecules into hydrogen and oxygen through a process called electrolysis. By utilizing solar power to generate hydrogen, we can ensure a truly sustainable and eco-friendly energy cycle. The development of efficient and stable photoelectrode materials is critical for enhancing the performance of phototelectrochemical cells. Identifying materials that can efficiently absorb sunlight, facilitate the necessary electrochemical reactions, and withstand harsh operating conditions remains a complex task. Metal oxide clusters such as polyoxometalates (POMs) and metal organic frameworks (MOFs) consist of a small number of metal oxide units, offer unique advantages over bulk materials, making them attractive candidates for enhancing photoelectrochemical efficiency. They can provide enhanced light absorption, efficient charge separation, redox catalysis, stability, durability and compatibility with semiconductors helps in developing better photoelectrochemical systems. The POMs offers unique redox properties which is beneficial for better catalytic activities. Similarly the MOFs also shows enhanced catalytic and electron transport properties along with better light harvesting capabilities. This helps to lower the energy barrier for the hydrogen evolution reaction (HER), making the process more favourable and stable. The current research focusing on the strategy of supporting POMs or MOFs into a specific substrate. The combination of POMs/MOFs and the substrates can benefit from the virtues of both materials while avoiding the drawbacks of them. These include the significant improvement in terms of mechanical stabilization, surface area, light absorption, electrical conductivity and charge transport. Specifically the integration ensures that the photogenerated electrons efficiently reach the POM/MOF sites for HER, leading to improved hydrogen production rates. Further optimization and exploration of such kind of hybrid systems are necessary to fully realize their potential in renewable hydrogen generation.

Jasmine Banu

Roll Number: MS17D200
PH.D - Management Studies
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Keywords:
Work-Family, Entrepreneurship, Work-life balance, Well-being, Survey Methodology and Data Analysis, Qualitative & Quantitative Research Methodologies, Human Resource Management, Strategic HR
Jasmine Banu completed her MS (by research) and Ph.D. in Management (Organizational Behavior) from IIT Madras, India. Her areas of interest are at the intersection of women entrepreneurship and the work-family interface. She has worked on various projects funded by ICSSR-IMPRESS, TNPL, WL IITM, etc. She has more than 10+ years of experience in the IT industry. She holds a Bachelor of Engineering (Computer Science), a Post Graduate Diploma in Business Administration (HRM), and a UGC-NET (HRM).
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Center Name: Department of Management Studies

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While entrepreneurship provides women the desired autonomy and flexibility, having a challenging career like entrepreneurship can impose additional workloads and mental strain, making it demanding for them to achieve a work-life balance. Boundary management is a crucial phenomenon that explains how women entrepreneurs create and manage their work and family boundaries to achieve work-family balance. The literature provides mixed evidence on individuals’ boundary preferences and boundary management strategies, which tend to differ across individuals and situations. With this background, the current study aims to explore the boundary preferences, boundary management strategies, and work-family interface of women entrepreneurs from Micro, Small, and Medium Enterprises using an exploratory sequential mixed-method approach (Phase I - qualitative research and Phase II - quantitative research). In the first phase, we explored how women entrepreneurs prioritized and managed the boundaries between work and family role domains. We also examined whether boundary management strategies varied based on motherhood and business stages. The in-depth qualitative investigation of twenty-five highly educated and financially successful women entrepreneurs from India (in two distinct phases over a gap of six months) helped us elucidate the nuances of work-family role management and identify the critical response strategies. We found that the mothers with younger children and entrepreneurs in the early stages of the business preferred to integrate the work and family roles rather than to set a clear boundary between the roles, using various boundary management tactics to achieve work-life balance. They attempted to minimize imbalance by creating a resource pool, flexible scheduling, working fewer hours, and preferring workplace proximity. Social support seemed to be essential to reconcile the multiple role demands. To delve deeper into the insights of phase I, this study collected data from 446 women entrepreneurs from various districts of Tamil Nadu employing temporally-lagged surveys: Survey I (Time 1) and Survey II (Time 2), with a 4-week interval in the second phase. This study tested the impact of boundary preference toward integration on subjective well-being through actual boundary enactment and work-to-family enrichment as mediators, moderated by the problem-focused coping strategy. Data were analysed using structural equation modelling. Results suggest that women entrepreneurs actively work towards their boundary preference. The normative expectations placed on women to perform traditional gender roles and work autonomy tend to impose integration as a boundary management strategy for women entrepreneurs in India. Since individuals have only finite resources, integrating multiple roles could invariably lead to role strain. However, based on the tenets of the work-home resource (W-HR) model and boundary theory, role integration provides access to one or more resources that can provide an enriching experience for women entrepreneurs, enhancing their subjective well-being. The findings reveal that the study participants do not see business and family demands as competing entities. Instead, they accept the role demands and prefer to integrate the boundaries. Women entrepreneurs utilize the resources gained through work to enrich their family role. Moreover, to organize themselves within the roles and to offset additive role burdens, they have mastered several problem-coping strategies, such as active operational planning, prioritizing, self-regulatory activities, etc., to achieve subjective well-being. This study concludes that boundary management is crucial for managing the role expectations imposed on women entrepreneurs and also to enhance their subjective well-being. This study contributes to the literature by i) investigating boundary preference and actual boundary enactment as two distinct constructs, ii) examining the moderated mediated mechanism in the boundary preference toward integration and subjective well-being, iii) considering actual boundary enactment and work-to-family enrichment as mediators; iv) demonstrating that individual strategies such as problem-focused coping positively moderate the indirect effects of boundary preference toward integration on subjective well-being through actual boundary enactment and work-to-family enrichment such that the relationship is stronger among women entrepreneurs employing higher levels of such coping strategies. The theoretical and practical implications for women entrepreneurs are discussed in detail.

Mohit Kumar

Roll Number: MS17D202
PH.D - Management Studies
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Keywords:
Corporate bonds, Financial stress, Fixed income market, Market contagion, Economic policy uncertainty, Credit spread
I am Mohit Kumar, a dedicated graduate student currently pursuing a dual degree in M.S. and Ph.D. at the Department of Management Studies. My academic journey includes an M.Com from Jamia Millia Islamia and experience as a Research Assistant at IIT Kharagpur. My research includes two projects. The first project as a part of MS measures financial stress and its spillover across Asian countries, while my Ph.D. revolves around developing corporate bond markets in Asia. With honed financial analysis, data modeling, and research skills, I am eager to leverage my knowledge to drive impactful insights in a dynamic team, contributing to the organization's success and growth.
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Technical Skills: Financial analysis, Data analysis, Statistical analysis and data modeling, scientific research techniques
Computational Skills: 1. Expert knowledge of Databases such as Bloomberg, DataStream, Prowess. 2. Expert knowledge of EViews, Stata, SPSS. 3. Intermediary knowledge of Python. 4. Good at Advanced Excel, Data Visualization in Tableau, and in Written & Verbal Communications
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S. Vasanthraj

Roll Number: MS18D004
PH.D - Management Studies
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Keywords:
Supply chain, blockchain, operations management, operations research, Industry 4.0
I am a PhD scholar, and my research is on investigating the effect of blockchain implementation on the visibility and operational efficiency of a food supply chain. I am also a Joint doctoral scholar at Curtin University, Australia.
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Computational Skills: Mathematica, C++, Python
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Center Name: Department of Management Studies

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Food can become unsafe or contaminated at any point from production to distribution. The stakeholders and customers are also ready to pay more to ensure food safety and timely delivery. This shows the importance of visibility and operational efficiency in a food supply chain (FSC). Traditional supply chains are primarily manual and won't involve technologies. There will be issues like low traceability, efficiency, data tampering, etc. Implementing new and developing data-acquiring technologies is a benefit to all the stakeholders, which helps them to make crucial decisions. It is necessary to trace the movement of products from origin to the consumers as supply chains that allow financial transactions between entities lack trust and credibility, So, it is evident that there is a need for a change in the traditional food supply chain by implementing technology systems. The purpose of this work is to study how blockchain is used in the FSC for visibility and operational efficiency. A content analysis-based systematic literature review is conducted to find the research gaps. Based on the research gaps found, our research proposes to answer the following research questions: RQ-1. How is blockchain impacting the food supply chain in terms of visibility and operational efficiency? RQ-2. How can technology costs be shared among various entities of the food supply chain? RQ-3. How the integration of two or more technologies with blockchain can improve the FSC? The proposed work can help the practitioners of FSC to redesign the existing supply chain. The number of food incidents can be reduced to a certain extent, and the coordination between the entities of the supply chain can be improved.

PRATEEK NANDA

Roll Number: MS18D011
PH.D - Management Studies
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Aishwarya Ramesh

Roll Number: MS18D203
PH.D - Management Studies
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Battula Ramya Krishna

Roll Number: PH17D303
PH.D - Physics
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I have a strong academic background and a successful research career. My work in improving perovskite solar cell stability is vital for the development of efficient and durable renewable energy sources. Being a Senior Research Fellow at ARCI Hyderabad and pursuing a PhD at IIT Madras simultaneously demonstrates my dedication and commitment to advancing scientific knowledge. My publication record in prestigious journals from Elsevier, RSC, ACS, and Springer, encompassing various types of scholarly articles, reflects my expertise and contributions to the scientific community. Presenting my research work at national and international conferences and receiving awards for both, work and presentation skills indicate the recognition and impact of my research. I have been bestowed with the AWSAR - 2021 award as recognition for my writing skills and the ability to effectively communicate scientific ideas to a broader audience. My feature in the virtual issue of "Women Researchers at the Forefront of Crystal Engineering" in ACS Crystal Growth and Design further highlights my achievements and prominence in the field.
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