Chemical Engineering Industrial Training

Gandham Sivanagababu

*******************@*****.***, Mobile: +919*********, India

CAREER SUMMARY

Focused mathematical modeler, data analyst and process technologist with masters in chemical engi- neering background from INDIAN INSTITUTE OF TECHNOLOGY KANPUR.

2 years of industrial work experience including commissioning of units in process technology area at TATA STEEL. One year of industrial training experience at HPCL, and The Andhra Sugars Ltd.

Skilled in mathematical modeling, linear stability analysis, numerical computation, process data anal- ysis, and technology needs analysis. Have a proven knowledge of uid ow systems, hydrodynamic stability, process improvement, performance improvement and environment health and safety systems.

Recipient of Academic Excellence Award from IIT Kanpur and Pratibha Award Scholarship from Government of Andhra Pradesh.

EDUCATION

Master of Technology, Chemical Engineering

Indian Institute of Technology, Kanpur, India GPA 9.67/10 July 2015 Thesis Topic: Linear stability analysis of ow of Newtonian uid through exible tube and ow of Viscoelastic uid in rigid channels

Advisor: V. Shankar, Ph.D

Courses Taken

Transport phenomena Thermodynamics

Mathematical Methods in Chemical engineering Numerical uid ow and Heat transfer Introduction to hydrodynamic stability Fundemantals of colloid and interface science and tech- nology

Bachelor of Technology, Chemical Engineering

Andhra University College of Engineering, GPA 9.31/10 Visakhapatanam, India May 2013

ACADEMIC RESEARCH PROJECTS

M.Tech in Chemical Engineering

Research Thesis:

Linear stability analysis of ow of newtonian uid through exible tube: To study the e ect of wall elasticity and viscosity on transition Reynolds number. Soft tube is mathematically modeled using linear visco elastic constitutive relationships.

Linear stability analysis of ow of viscoelastic uid in rigid channels: To study the e ect of viscoelastic properties of uid on critical Reynolds number. Visco elastic uid is mathematically modeled using Oldroyd-B Model.

Problem formulation and Numerical solution: Formulation of Eigen value problem by using pertur- bation theory and normal mode analysis of linear stability analysis. Solving Eigen value problem by spectral collocation method using chebyshev polynomials as a computational technique in Mat lab

Findings: In case of Newtonian uid through exible tube, critical Reynolds number decreases with decreases in shear modulus. Results show that ow becomes unstable for higher values of shear modulus even at low Reynolds numbers for a particular set of dimensionless parameters and zero viscosity, and when e ect of viscosity included these modes tend to stabilize. In case of Poiseuille ow of Visco elastic Gandham Sivanagababu

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uid in rigid channels, in UCM (Particular case of Oldroyd-B when solvent viscosity equals to zero) case, drastic reduction of transition Reynolds number even at low values of elastic component. Moreover, single mode causing instability in Newtonian uid whereas multiple modes causing instability in UCM. Further, addition of non zero solvent viscosity causes transition Reynolds number for Oldroyd-B higher than UCM. Number of chebyshev modes required for convergence increases as ow elasticity increases.

Purpose: Study of the relationship between dimensionless parameters at onset of instabilities helps geometrical con guration of devises either to promote or suppress instabilities depends on practical purpose. Most of the biological uids, polymer solutions and melts are non Newtonian uids and exhibits viscoelastic behavior. Moreover, micro uidic devises are fabricated with soft materials. So, we need to study about these materials in order to promote mixing. In some cases like coating, we need to suppress interfacial instabilities to get good optical, nish and smooth edges

Applications: Flow in micro uidic devices made of soft elastomers: In these kinds of devises, wall elasticity a ects the onset of instability. As ow in these devices is laminar, for carrying processes in the micro uidic devises we need to promote mixing. This can be possible by changing the softness of walls. Biological ows and Bio-technological applications: Soft deformable tubes and channels being used for the transport of blood and other uids in biological systems. Manipulation of interfacial instabilities in multilayer ow: Coating processes, polymer co extrusion.

[Research Guide: Dr V. Shankar, Professor in Chemical Engineering, IIT Kanpur] M.Tech Course-Projects:

Mathematical model for analysing stability of Newtonian uid owing through rigid planar surfaces: planar shear ows and solved using spectral methods as numerical computation technique in MATLAB.

[Introduction to hydrodynamic stability, Project Guide: Dr V. Shankar, Professor in Chemical Engi- neering]

Mathematical model for analysing onset of instabilities of Newtonian uid owing through rigid pipe: Pipe-Poiseuille ow and solved using pseudo spectral methodsas numerical computational technique using MATLAB.

[Introduction to hydrodynamic stability, Project Guide: Dr V. Shankar, Professor in Chemical Engi- neering]

Solved two dimensional natural convection problem in a square cavity where coupling between Navier stokes equation and energy transport equation arises with boussinesq approximation for density using MATLAB

[Numerical uid ow and Heat transfer, Project Guide: Dr Arun Kumar Saha, Professor in Mechanical Engineering]

Mathematical model to nd out the streamlines and vorticity contours inside the cavity for varying grid points using MATLAB.

[Numerical uid ow and Heat transfer, Project Guide: Dr Arun Kumar Saha, Professor in Mechanical Engineering]

Mathematical model to solve pin n problem and coded using TDMA and Gause siedel Method in Matlab.

[Numerical uid ow and Heat transfer, Project Guide: Dr Arun Kumar Saha, Professor in Mechanical Engineering]

WORK EXPERIENCE

Manager, Coke Making Technology, Process Technology group Tata Steel, Jamshedpur (India) August 2015 - June 2017.

Function: Knowledge creation and deployment in Coke making, Coke Oven Byproduct Plant (COBPP) and Biological Oxidation and Dephenolization (BOD) units of the Coke oven plant. Gandham Sivanagababu

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Skills: Process monitoring and diagnosis through mathematical modelling, process data analysis, best practice search and literature scan. Developing technical reports including root cause analysis for quick arresting, prediction and control of the process deviations. Implementation of the best technology for each processing unit and ensuring best performance through periodical Assessment with technical insights

PROJECTS AT TATA STEEL

Assessment of Granular Activated Carbon technology in tertiary treatment of e uent treat- ment plant

To optimize the operation cost and reducing the carbon dioxide foot print, explored options to regen- erate or reactivate spent granular activated carbon with feasibility study.

Played pivotal role in making plant trials to implement regeneration using steam and reusing portion of spent granular activated carbon for internal purpose.

Made practice search and facilitated discussions with third party consultants to explore option of setting of reactivation unit near to plant.

Development of operational parameters to control the Activated sludge process by mathematical modelling

Combined parameters were developed based on base parameters a ecting the process and established optimum operating range for these parameters.

These parameters helps operator in better understanding of sludge retention period, aeration perfor- mance and to control process deviation in exible way. Comprehensive assessment of factors a ecting performance of Advent Integral System tech- nology in BOD unit-Case study of Tata steel Kalinganagar

The qualitative and quantitative studies carried to understand the impact of Oil Grease, Cyanide; e ect of process conditions, viz., pH, Temperature, Dissolved Oxygen, Oxidation Redox Potential, Conductivity and Alkalinity; and in uence of operating conditions including Food to Microorganism ratio, Hydraulic Retention Time, Recycled Activated Sludge and Sludge Retention Time.

Developed correlations with thorough technical insights.

Contributed signi cantly to streamline process data Development of mathematical models to ensure optimum performance of bacterial growth subject to input uctuations

Correlations were developed based on variation of microorganism growth measured in terms of MLSS and MLVSS subject to operational and process parameters, and literature scan.

Disseminated the knowledge at eld level.

Root cause analysis for identifying critical factors a ected the drastic reduction of Mixed liquor volatile suspended solids(MLVSS)

The analysis reveals that, though, maintaining of process parameters with in operating range and con- trolling of inhibitions, still the growth of bacteria is sensitive to organic loading coming from upstream section which triggers the instabilities in bacterial growth phenomena.

Indeed, outcome of the analysis pronouncing that the optimum Food to Microorganism ratio need to be maintained by adjusting the organic loading based on inventory of MLVSS provided with favourable conditions for ensuring healthy growth of bacteria. Trouble shooting reports on coke oven byproduct pant

Technical reports to operating team in case of process deviation from optimum conditions and suggest- ing way forward through technical data analysis. Ex: Operation of scrubbers, electric tar precipitator. Gandham Sivanagababu

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Design of coal blends for coke ovens and testing at plant level

Coal blend was designed using 100% imported coals for newly commissioning TSK unit in adherence to performance guarantee clauses imposed by the technology supplier.

Developed KPI tree for various blend combinations by considering coal blend properties, process pa- rameters and coke parameters to get desired CSR and acceptable expansion limits.

Designed blends were tested at pilot ovens before plant trial. Comparison and technological assessment of BOD units in TSK and TSJ

These ndings and observations will be helpful for implementation of techniques which are employed in one system with in other and new techniques for better controlling of operation which ultimately drives operational excellence.

Study reveals that TSK BOD unit has tar separation unit before AIS system which make it performing better interms of bacterial growth than that of TSJ BOD unit. Miscellaneous

Played a pivotal role to establish coke oven process data ow in newly commissioning TSK unit.

Signi cantly contributed for improvement of process visibility of coke oven byproduct plant at TSK and TSJ.

INDUSTRIAL TRAINING EXPERIENCE

The Hindustan petroleum corporation Ltd (HPCL), Visakhapatnam, A.P. for the period of six months.

The Andhra sugars Ltd, Tanuku, A.P. for the period of six months. ACHIEVEMENTS

Rated as a superior performer in annual performance appraisal during employment at Tata Steel.

Recipient of Academic Excellence Award in the master of technology in chemical engineering from IIT Kanpur.

Secured all India 296

th

rank in GATE in the year of 2013.

Secured State 1

st

rank in Chemical engineering in ECET (Andhra Pradesh) in the year of 2009.

Secured Overall Integrated State 1

st

rank in ECET (Andhra Pradesh) in the year of 2009.

Recipient of Prathibha Award Scholarship duing the B.Tech. by the government of AP.

Recipient of Vishwasai Prathibha Purashkar Award-2005. SOFTWARE TOOLS

MATLAB Mathematica

C language Latex

Python (Data Analysis)

REFERENCES

Dr V.Shankar

Professor in Chemical Engineering Department, Phone: +91-512-***-****/7827 Indian Institute of Technology, Kanpur, India. E-mail: ********@****.**.** A S Reddy

Chief, Iron Making Technology Group Phone: +91-923******* Process Technology Group, E-mail: *******@*********.*** Tata Steel, India

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