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Darjeeling, India

Siliguri Institute of Technology is a private engineering and management college, established in 1999 in Siliguri, West Bengal, India. Initially the college was under North Bengal University and from the year 2004 came under the control of the newly formed West Bengal University of Technology. The college is now a part of the Techno India Group. Wikipedia.


De D.,MCKV Institute of Engineering | Panda P.K.,Siliguri Institute of Technology | Roy M.,Saha Institute of Nuclear Physics | Bhunia S.,Saha Institute of Nuclear Physics
Materials and Design | Year: 2013

Mechanochemically devulcanized ground rubber tire (GRT) was revulcanized in a composition with natural rubber (NR) and polybutadiene rubber (PBR). Reclaiming of GRT was carried out by tetra methyl thiuram disulfide (TMTD) in the presence of spindle oil, a paraffin base rubber process oil. The cure characteristics and tensile properties of NR/PBR compounds were investigated. Results indicate that the minimum torque and Mooney viscosity of the NR/PBR compounds increase with increasing reclaim rubber (RR) loading whereas the scorch time remains unaltered but optimum cure time exhibits a decreasing trend due to the presence of active crosslinking sites in the reclaim rubber. The (re)vulcanization of different NR-PBR/RR blends was found to give a new low cost product with adequate properties. The mechanical properties before and after aging of NR-PBR/RR blend system and different proportions of carbon black loaded NR-PBR/RR blend system were studied. Tensile strength increases with increasing the proportion of reclaim rubber, but for all the vulcanizates the values are less than those of the control formulation. Thermogravimetric analysis of RR, NR-PBR and different NR-PBR/RR vulcanizates was carried out in order to get thermal stability of the vulcanizates. The effects of variations of RR loading on dynamic mechanical properties like loss tangent, storage and loss modulus were studied. © 2012 Elsevier Ltd.


Mahapatra G.S.,Siliguri Institute of Technology | Mitra M.,Bengal Engineering and Science University | Roy T.K.,Bengal Engineering and Science University
International Journal of Fuzzy Systems | Year: 2010

This paper proposes an intuitionistic fuzzy optimization approach to solve a multi-objective nonlinear programming problem in the context of a reliability application. We have considered a multi-objective reliability optimization problem with reliability and cost as objective functions. Intuitionistic fuzzy optimization approach is used to solve this multi-objective reliability optimization model. It is shown that the proposed intuitionistic fuzzy optimization approach is more efficient than the analogous fuzzy technique. Numerical examples are provided to illustrate our approach. © 2010 TFSA.


Mahapatra G.S.,Siliguri Institute of Technology | Roy T.K.,Bengal Engineering and Science University
International Journal of Industrial and Systems Engineering | Year: 2014

In this paper, we have presented intuitionistic fuzzy optimisation technique to find out the optimum system reliability of complex systems subject to constraint on system cost. In general, the system costs as objective goal have not been stated clearly. Here the system cost is considered as intuitionistic fuzzy in nature. This imprecise reliability optimisation model is solved through the intuitionistic fuzzy optimisation method. It is shown that the intuititionistic fuzzy optimisation technique is more efficient in reliability optimisation than the analogous fuzzy technique. Examples are shown to illustrate the proposed method. © 2014 Inderscience Enterprises Ltd.


Mahapatra G.S.,Siliguri Institute of Technology | Mandal T.K.,Bengal Engineering and Science University | Samanta G.P.,Bengal Engineering and Science University
International Journal of Machine Learning and Cybernetics | Year: 2011

In general, cost constant parameters of inventory or production models are not rigid in real life rather these are imprecise in nature. In this paper we have presented imprecise cost constant parameters for an economic production quantity model. The unit production cost of this economic production quantity model is demand and reliability dependent. The imprecise parameters of the production model are considered as fuzzy in nature. The fuzzy model is solved by fuzzy parametric geometric programming technique. Finally, production model is numerically illustrated using fuzzy parametric geometric programming. © 2011 Springer-Verlag.


Mahapatra G.S.,Siliguri Institute of Technology | Mahapatra B.S.,Seacom Engineering College
International Journal of Performability Engineering | Year: 2011

In this paper, redundancy allocation problem for system reliability has been presented with entropy as objective function. This model using entropy has been used to account for the lack of expert's information. The goal of entropy redundancy allocation problem is to find out optimal level of redundancies at each subsystem in a way that maximizes reliability and entropy of the system subject to specified system cost. Intuitionistic fuzzy optimization technique is used to analyze an entropy based reliability redundancy optimization problem. Numerical examples have been provided to illustrate the model. © RAMS Consultants.

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