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Chemical Engineering Plant

Location:
Pune, Maharashtra, India
Salary:
5-6 LPA
Posted:
July 14, 2020

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Resume:

MADHU

Female, Indian, ** yrs

DOB: ** Mar ****

Linguistic Proficiency: Hindi, English, Maithili, Telugu Address: R-2 Flat No: 401

Moraj riverside society,

Takka Panvel, Maharashtra, India.

Pin code - 410206

Mobile : +919*********

Email ID: adek1s@r.postjobfree.com

O B J E C T I V E

To pursue a challenging career and be a part of a progressive organization that gives a scope to enhance my knowledge, skills and to reach the pinnacle in the research development sector with sheer determination, dedication and hard work.

E D U C A T I O N

Degree/ Examination Year of School/ Institute Board/ University Percentage/ Passing CGPA

M.Tech National Institute of National Institute of

(Chemical 2018 Technology, Technology, 8.97

Engineering) Tiruchirappalli Tiruchirappalli

B.Tech National Institute of National Institute of

(Chemical 2016 Technology, Technology, 8.76

Engineering) Raipur Raipur

Class XII Sri chaitanya junior

(Maths) 2012 college, kukatpally AP Board 92.9

Kendriya Vidyalaya, Central Board of

Class X 2010 Begumpet Secondary 9.6

Education

P R O J E C T W O R K / T R A I N I N G

M.Tech Project (Phase 1):

National Institute of Technology, Tiruchirappalli (July 2017- Dec 2017)

“Production of Biodiesel from Pongamia oil using Fluorspar as a catalyst and optimization of esterification and transesterification processes using Response surface methodology (RSM)” Guide: Dr. N. Ananthraman

Pongamia oil is used for biodiesel production using a novel catalyst that is naturally occurring mineral Flourspar. Complete characterization of the catalyst confirms that it turned out to be a good catalyst for the production of biodiesel. The pre-treatment process and the trans-esterification process is optimized using RSM. The predicted outputs are compared and respective error % is calculated and the mean square value is assimilated. F I E L D O F IN T E R E S T I N R E S E A R C H A C T I V I T I E S M.Tech Project (Phase 2):

National Institute of Technology, Tiruchirappalli (Jan 2018- May 2018)

“Modelling of Biodiesel Production from Pongamia oil using Artificial neural network (ANN) and Engine test”

Guide: Dr. N. Ananthraman

Fluorspar is a naturally occurring mineral, which is used as a catalyst for the Biodiesel production from Pongamia oil which resulted in a decent conversion of 91.2% with 15:1 Methanol: esterified oil ratio, 8wt% catalyst loading and 3 hours of transesterification time. The modelling of transesterification process is done using Artificial Neural Networks(ANN) and the predicted outputs are compared and the error is also calculated. GC-MS analysis Biodiesel helped in finding its composition. The characterization of biodiesel is also done by 1 H-NMR analysis. FTIR analysis of catalyst helps in identifying the impurities present and it is confirmed using XRD analysis of the same. Morphological structure is identified SEM images. The Characterization of the Biodiesel is done using NMR and GC-MS analysis. Emission and performance characteristics of produced biodiesel are studied using a 4-stroke single cylinder IC diesel engine.

B.Tech Project:

National Institute of Technology, Raipur (July 2015-May 2016)

“Petroleum Refining and designing of Mechanical design of distillation column Guide: Dr. A.K Poonia, NIT Raipur

The project was carried out to design a distillation column to separate a binary mixture of Mono Ethylene Glycol and Di Ethylene Glycol using McCabe Thiele’s procedure. It determines the number of trays required for the desired degree of 95% purity. A number of analytical equations, such as the Antoine equation were used. The report included the plant layout and the cost estimation for the process. In-plant Training:

Oil and Natural gas corporation – Regional geoscience Laboratory (ONGC-RGL), Panvel

(May 2015-Jun 2015)

“Exploration and production of crude oil with a key role of mud formulation” Guide: Dr. Sanjeev Kumar

An introduction of petroleum generation, exploration & production and brief exposure to different labs in RGL which are a very essential part of oil industry. Study of the refined products of crude oil and visit of LPG Uran plant is also included and experimental work is done on preparation/analysis and application of mud formulation and gas analysis by gas chromatography.

Research skills

Characterization

Characterization of catalyst

FT-IR

and SEM

Characterization of oil

NMR

P U B L I C A T I O N S A N D S U B M I S S I O N S 1. Title: “Biodiesel production from rubber seed oil using calcium oxide derived from eggshell as catalyst

– optimization and modeling studies” published in the journal of Green Processing and Synthesis. 2. Title: “Biodiesel production from Pongamia oil using a novel catalyst: Process optimization using RSM and ANN ” submitted in the Journal of Energy Sources.

Gas Separation

Membrane Separation

Environment Engineering

Electrochemistry

E X T R A C U R R I C U L A R A C T I V I T I E S

Secured Academic proficiency Prize for securing first rank during Semester I and II

Honour of being awarded with outstanding student in M.Tech in Chemical engineering for the year 2017-2018

Organizing member in the ‘International Conference on Desalination (InDACON-2018) held at NIT TIRUCHIRAPPALLI

Participated in various programs at SAMAR SPORTS FEST of NIT RAIPUR and bagged prizes for various games.

Participated in the various concurrent programs organized under WE CARE - THE GREEN MOVEMENT at NIT RAIPUR and completed one years of service during 2012-13

Participated in Badminton held by ‘Biomedical student association (BIMSA)’ at NIT RAIPUR and bagged second position.

Participated in Badminton (singles) held by Chemical engineering association (CHEANIT’15) at NIT RAIPUR and bagged the first position.

S O F T W A R E S K I L L S E T

Operating System: Windows

Languages: Basics of C and C++.

Software operations: MS-OFFICE, MATLAB, Basics of ASPEN, Response Surface Methodology

(RSM), Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy inference system (ANFIS).



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