Dr Siddharth Chakrabarti
@opju.ac.in
Professor & Head- Mechanical
OP Jindal University
An enthusiastic and passionate leader with 20+ years of progressive experience in teaching,
research, academic management, and operations. A self-motivated, committed individual with
good communication, and interpersonal skills with a proven track record in the field of academia.
I have not only led, developed, and motivated teammates to achieve defined goals but also
took ownership to led innovative initiatives for simplifying the process.
EDUCATION
Ph.D. (Mechanical Engineering) from Indian Institute of Technology (IIT), Kharagpur, India,
2017
Thesis Title: Analysis and Performance Studies of Some Equipment with Combined Sensible
and Latent Heat Transfer.
➢ M Tech (Mechanical Engineering with specialization in Design and Production of Gas
Turbines and I C Engines) from NIT Warangal (73%), India, 2002.
Project: BHEL, Research and Development, Vikas Nagar, Hyderabad
➢ BE (Mechanical Engineering) from Nagpur University (69 %), India, 1999.
Projects: Development of Ramming Machine and performed testing for Fractography and
Evaluation of Waste heat recovery System applied to Steel Industry- Sun- Flag Iron and
Steel Co. Ltd , Bhandara
➢ HSSC- Class XII- Maharastra Board- 80%- 1995
➢ SSC- Class X- CBSE Board- 80% - 1993
RESEARCH INTERESTS
Thermal, Fluids, Solar, Data Analytics
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Manish Patel, Suman Patel, Yogesh Patel, Jayanand Kishan, Mithilesh Kumar Sahu, and Siddharth S. Chakrabarti
AIP Publishing
Akash Pandey, Siddharth Chakrabarti, and Dulari Hansdah
AIP Publishing
Siddharth Chakrabarti, Rahul G Makade, and Satish Kanhed
International Hellenic University
Bhushan C. Behede, Siddharth S. Chakrabarti, and Uday S. Wankhede
Springer Nature Singapore
Rahul Makade, Siddharth Chakrabarti, Basharat Jamil, R. D. Katre, and R. D. Patidar
IEEE
The main aim of the present study is to explore the relationship between numerous input parameters of the condenser vacuum pressure using the Theory of experimentation and to optimize the output using particle swarm optimization techniques. The present work explores the parameters: Vaccum pressure, Load, Low-pressure exhaust hood temperature, condenser inlet, outlet temperature, and time. It was observed that the Theory of experimentation could be used to predict condenser vacuum pressure under different operating conditions with a high level of accuracy. The condenser hood and outlet temperature strongly influence the condenser vacuum pressure. The condenser vacuum pressure was predicted, and the actual value fit very well. The mean percentage error between the measures and the predicted value is -0.1021%, whereas the coefficient of determination is 0.9476, respectively.
M. Kalyan Phani, Satish Kanhed, Siddharth Chakrabarti, and R.D. Patidar
Elsevier BV
Bhushan Behede, Siddharth Chakrabarti, Uday Wankhede, and Hitesh Thakare
Elsevier BV
Rahul G. Makade, Siddharth Chakrabarti, Basharat Jamil, and Mani Kant Paswan
Informa UK Limited
Monthly average daily global solar radiation is estimated using several mathematical models available in the literature. Various input parameters and their different combinations are explored to fo...
Rahul G. Makade, Siddharth Chakrabarti, and Basharat Jamil
Elsevier BV
Mohitkumar G. Gabhane, Siddharth S. Chakrabarti, and Uday S. Wankhede
Informa UK Limited
Sandeep Yadav, Siddharth S. Chakrabarti, and Prateek Bose
Begell House
S. Chakrabarti, A. Pandey and P. Dhage
Solar energy is the highly recognized energy source, capable of fulfilling the world’s future energy demands. The solar photovoltaic technology involves the unmediated transformation of sunlight into electricity. A little fraction is converted into electricity and the remaining gets exhausted as unused heat. This results in an increase in the operating temperature of the PV Panel. The conversion efficiency and the life span of the photovoltaic panel are affected by an increase in working temperature. Hence, an appropriate cooling technique is essentially required for maintaining the operating temperature of the module within the limits prescribed so as to obtain higher electrical yield and increased lifespan. The objective of this paper is to present a summary of the various cooling techniques used to enhance the performance of PV panels, namely air cooling - free and forced, water spray cooling, cooling by phase change materials, heat pipe cooling, liquid immersion cooling and forced water circulation. Several research articles are reviewed and classified on the basis of technology used for the thermal management of PV modules. The paper also investigates one of the passive evaporative cooling technique to control the temperature rise of the PV module and enhancement in efficiency. Around 12oC reduction in PV panel temperature under maximum insolation and 7.7 % increase in average electric power generation efficiency was observed under this technique.
Rahul G. Makade, Siddharth Chakrabarti, Basharat Jamil, and C.N. Sakhale
Elsevier BV
Rahul G. Makade, Siddharth Chakrabarti, and Basharat Jamil
Elsevier BV
L R Bhandarkar*, , P P Mohanty, S K Sarangi, S S Chakrabarti, , , and
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Economical machining operation plays an important part in competitiveness in the industries therefore selection of optimum cutting parameters is of great concern in manufacturing environments. The current research is aimed at fixing the optimal process parameters for hard turning of aluminum in CNC lathe machine using carbide tool as per the machinability aspects. On the basis of three-factor-three-level L9 orthogonal array, trials are performed by varying the manageable process constraints which are spindle speed, depth of cut and feed rate. Performance of machining has been figured by several responses like Surface Roughness and Material Removal Rate. Towards optimization above mentioned performance factors are treated as purpose functions, assuming that it corresponds to Higher-is-better and Lower-is-Better requirement respectively. Satisfaction function approach is used in this paper to find out satisfactions of individual responses enabling gathering of multi-responses into a comparable sole index.
Rahul G. Makade, Siddharth Chakrabarti, and Basharat Jamil
Elsevier BV
Sidharth S. Chakrabarti and P. K. Das
Begell House
Siddharth S. Chakrabarti and P. K. Das
Begell House
Siddharth S. Chakrabarti, P. M. Dharaskar, L. R. Bhandarkar, and Ravi Sahu
Begell House