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Featured researches published by Prasun Chakraborti.


Tribology Transactions | 2008

Prediction of Polymer Wear—An Analytical Model and Experimental Validation

S. K. Roy Chowdhury; Prasun Chakraborti

Because of its industrial relevance, wear of engineering polymers has been studied extensively both experimentally and theoretically. The wear mechanism of polymers is complex due to the influence of numerous parameters and it has long been realized that a predicting tool for wear of polymers in dry and lubricated sliding is of practical importance. Polymer wear models hitherto have been largely done by fitting the experimental data to an empirical equation and some major contributions have been made by a number of authors in this area. However, a more fundamental approach would be to analyze the experimental evidence collectively on the basis of the variables involved and the mechanisms leading to particle detachment. Although some progress has been made in this direction, a need exists to consolidate the major experimental findings in order to develop a comprehensive analytical wear model. The present work attempts to develop such a wear model and validate the proposed model experimentally. The wear equations are presented in two groups, one representing primarily abrasive wear and the other the fatigue mechanism, since the two mechanisms operate in distinct roughness ranges. Each group consists of four equations representing different contact speed and temperature ranges. The results indicate that the surface forces dominate in the low roughness range while at the higher roughness ranges abrasive wear is predominant. Among other observations the results also indicate that a unique value of the ratio of equivalent elastic modulus to hardness (E//H) exists where wear may either be insignificant or very large depending on the parametric combination. These predictions are likely to be of practical importance.


INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING: Proceedings of the 11th International Conference on Mechanical Engineering (ICME 2015) | 2016

Performance & stability analysis of a three lobe journal bearing with varying parameters: Experiments and analysis

Nabarun Biswas; Prasun Chakraborti; Ankuran Saha; Srijit Biswas

3-lobe Hydrodynamic oil journal bearings are widely used in heavy industries as a part of different rotating machinery due to their high level of performances. 3-lobe hydrodynamic oil journal bearing allows the transmission of large amounts of loads at a mean speed of rotation. In this present work, an attempt has been made to investigate the pressure domain and subsequent effects in a 3 lobe journal bearing under different static loads in a stable operating speed. Analytical calculations were carried out with codes generated using Matlab software. Experiments were performed in Journal Bearing test rig incorporating 3-lobe under different loads with stable operating speed of 1000 RPM. It has been observed that an increase in load resulted rise in pressure profile, maximum pressure angle and temperature. A further attempt has been made to see the effect of eccentricity ratio and dynamic viscosity considering no change in the RPM. It has also been observed that dynamic viscosity has a significant effect on the stable operating speed. With the reduction in static load, the stability of operating speed attained at higher values.


Renewable Energy | 2016

Experimental study on the role of ethanol on performance emission trade-off and tribological characteristics of a CI engine

Udayan Majumder; Prasun Chakraborti; Rahul Banerjee; Bishop Debbarma


International Journal of Hydrogen Energy | 2016

An experimental investigation on the potential of hydrogen–biohol synergy in the performance-emission trade-off paradigm of a diesel engine

Rahul Banerjee; Bishop Debbarma; Sumit Roy; Prasun Chakraborti; Probir Kumar Bose


Fuel | 2017

Exploration of PROMETHEE II and VIKOR methodology in a MCDM approach for ascertaining the optimal performance-emission trade-off vantage in a hydrogen-biohol dual fuel endeavour

Bishop Debbarma; Prasun Chakraborti; Probir Kumar Bose; Madhujit Deb; Rahul Banerjee


Materials Today: Proceedings | 2018

Study the impact of process parameters and electrode material on wire electric discharge machining performances

Ruma Sen; Bikash Choudhuri; John Deb Barma; Prasun Chakraborti


Materials Today: Proceedings | 2018

Optimization of wire EDM parameters using teaching learning based algorithm during machining of maraging steel 300

Ruma Sen; Bikash Choudhuri; John Deb Barma; Prasun Chakraborti


International Journal of Machining and Machinability of Materials | 2018

Experimental investigation and optimisation of WEDM process for machining maraging steel using neural network based Jaya algorithm

John Deb Barma; Prasun Chakraborti; Bikash Choudhuri; Ruma Sen


Journal of Mechanical Science and Technology | 2016

An analytical and experimental approach for pressure distribution analysis of a particular lobe and plain bearing performance keeping in view of all impeding varying parameters associating with fixed lubrication SAE20W40

Nabarun Biswas; Prasun Chakraborti; Sanjay Belkar


Procedia Engineering | 2015

Transient Analysis Of 3-Lobe Bearings Considering Surface Roughness Effect For A Gas Turbine☆

Nabarun Biswas; Prasun Chakraborti

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Bikash Choudhuri

National Institute of Technology Agartala

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Bishop Debbarma

National Institute of Technology Agartala

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John Deb Barma

National Institute of Technology Agartala

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Nabarun Biswas

National Institute of Technology Agartala

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Rahul Banerjee

National Institute of Technology Agartala

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Ruma Sen

National Institute of Technology Agartala

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Madhujit Deb

National Institute of Technology Agartala

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S. K. Roy Chowdhury

Indian Institute of Technology Kharagpur

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