Mallabhum Institute of Technology

Bishnupur, India

Mallabhum Institute of Technology

Bishnupur, India
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Karmakar M.,Mallabhum Institute of Technology | Nandi A.K.,Indian Central Mechanical Engineering Research Institute
1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016 | Year: 2016

Due to limited charging capacity of battery, optimal driving of an electric vehicle is important to utilize the available charge in an efficient manner to complete the entire route. In this respect, a novel system for trip planning of electric vehicle is presented here through adopting an optimal driving strategy (ODS). The ODS was determined by solving an associated multi-objective optimization problem using a genetic algorithm. The optimization problem deals with three conflicting objectives, minimizing trip time while minimizing energy consumption and maximizing comfort. The proposed system presents a set of optimal driving strategy (ODS) to the driver along with the corresponding range, trip end battery state-of-charge, and trip time to select a best one to perform the journey. It was observed that use of ODS not only saves energy but also provides guidance to ameliorate various EV-related drawbacks. © 2016 IEEE.

Mondal S.,Mallabhum Institute of Technology | Kundu C.,Mallabhum Institute of Technology | Chatterjee P.,MCKV Institute of Engineering | Chakraborty S.,Jadavpur University
C e Ca | Year: 2017

In today's highly business scenario, proper decision-making for machine tool selection is one of the most challenging and critical task. The decision maker has to select the best machine tool alternative, keeping in mind their relative performance characteristics and also the manufacturing goals. The selection process involves choosing an optimal alternative among many others. However, with the wide range of machine tools available in the market, selection of the best alternative for a particular machining application is not an easy task to perform. For a proper and effective evaluation of different types of machine tools, the decision makers need to analyze and consider a large number of criteria values and many other factors which require due consideration of both technical and economic benefits. In this research paper, Charnes, Cooper and Rhodes (CCR) models of data envelopment analysis (DEA) is employed to identify the possible machine tools having the most favorable performance measures. Moreover, the weighted overall efficiency ranking method of multi-attribute decision-making (MADM) theory is applied to identify the best machine tool selection decision from the short-listed competent alternatives. In order to validate the relevancy and uniqueness of the implemented DEA-based approach, one real time machine tool selection problem is solved. © 2017 Techna Group Srl & ESMC Co., Ltd.

Chatterjee P.,Mallabhum Institute of Technology | Athawale V.M.,Government Polytechnic | Chakraborty S.,Jadavpur University
Materials and Design | Year: 2011

Material selection is a very fast growing multi-criteria decision-making (MCDM) problem involving a large number of factors influencing the selection process. Proper choice of material is a critical issue for the success and competitiveness of the manufacturing organizations in the global market. Selection of the most appropriate material for a particular engineering application is a time consuming and expensive process where several candidate materials available in the market are taken into consideration as the tentative alternatives. Although a large number of mathematical approaches is now available to evaluate, select and rank the alternative materials for a given engineering application, this paper explores the applicability and capability of two almost new MCDM methods, i.e. complex proportional assessment (COPRAS) and evaluation of mixed data (EVAMIX) methods for materials selection. These two methods are used to rank the alternative materials, for which several requirements are considered simultaneously. Two illustrative examples are cited which prove that these two MCDM methods can be effectively applied to solve the real time material selection problems. In each example, a list of all the possible choices from the best to the worst suitable materials is obtained which almost match with the rankings as derived by the past researchers. © 2010 Elsevier Ltd.

Roy B.,National Institute of Technology Durgapur | Bhattacharya A.,Mallabhum Institute of Technology | Bhattacharjee A.K.,National Institute of Technology Durgapur | Chowdhury S.K.,Jadavpur University
2015 International Conference on Electronic Design, Computer Networks and Automated Verification, EDCAV 2015 | Year: 2015

In this paper a novel wideband spade-shaped monopole antenna with ring geometry is designed for several wideband microwave applications. The antenna is designed in CST Microwave Studio Suite™ environment. Round Slot Geometry is applied in design of the patch structure. The finalized monopole is proposed to be applicable in the microwave frequency band from 4.2 GHz to 12.2 GHz. The antenna exhibits a gain of 3.4 dBi, 3.5 dBi, 3.7 dBi, 3.8 dBi, 4.6 dBi and 1.9 dBi at frequencies 5 GHz, 5.2 GHz, 5.5 GHz and 5.8 GHz, 10 GHz and 12 GHz respectively. The antenna exhibits a wide bandwidth of 8 GHz (4.2 GHz to 12.2 GHz). © 2015 IEEE.

Halder B.,Mallabhum Institute of Technology | Garain U.,Indian Statistical Institute
Proceedings - International Conference on Pattern Recognition | Year: 2010

Answering to a query like when a particular document was printed is quite helpful in practice especially forensic purposes. This study attempts to develop a general framework that makes use of image processing and pattern recognition principles for ink age determination in printed documents. The approach, at first, computationally extracts a set of suitable color features and then analyzes them to properly associate them with ink age. Finally, a neural net is designed and trained to determine ages of unknown samples. The dataset used for the present experiment consists of the cover pages of LIFE magazines published in between 1930's and 70's (five decades). Test results show that a viable framework for involving machines in assisting human experts for determining age of printed documents. © 2010 IEEE.

Mondal S.,Mallabhum Institute of Technology | Chakraborty S.,Jadavpur University
International Journal of Industrial Engineering Computations | Year: 2013

Selection of industrial robots for the present day's manufacturing organizations is one of the most difficult assignments due to the presence of a wide range of feasible alternatives. Robot manufacturers are providing advanced features in their products to sustain in the globally competitive environment. For this reason, selection the most suitable robot for a given industrial application now becomes a more complicated task. In this paper, four models of data envelopment analysis (DEA), i.e. Charnes, Cooper and Rhodes (CCR), Banker, Charnes and Cooper (BCC), additive, and cone-ratio models are applied to identify the feasible robots having the optimal performance measures, simultaneously satisfying the organizational objectives with respect to cost and process optimization. Furthermore, the weighted overall efficiency ranking method of multi-attribute decision-making theory is also employed for arriving at the best robot selection decision from the short-listed competent alternatives. In order to demonstrate the relevancy and distinctiveness of the adopted DEA-based approach, two real time industrial robot selection problems are solved. © 2013 Growing Science Ltd. All rights reserved.

Mondal S.,Mallabhum Institute of Technology | Chakraborty S.,Jadavpur University
Journal of the Institution of Engineers (India), Part PR: Production Engineering Division | Year: 2011

The present competitive environment in global market has forced the manufacturing organizations to reduce costs while improving the quality of products and responsiveness to the customers. Flexible manufacturing systems (FMS) offer opportunities to those organizations to improve their technology, competitiveness and profitability through a highly proficient and focused approach to manufacturing effectiveness. The decision makers often face the problem of selecting the most appropriate FMS for a given manufacturing organization. This paper attempts to solve this FMS selection problem in two steps. The first step is used to identify and shortlist the most efficient alternative flexible manufacturing systems having better performance characteristics using the Charnes, Cooper and Rhodes (CCR) model of data envelopment analysis (DEA). Then, the weighted overall efficiency ranking method of multi-attribute decision-making (MADM) theory is employed to determine the best FMS from the shortlisted ones. The results match well with those obtained by the past researchers.

Bhattacharya A.,Mallabhum Institute of Technology
Lecture Notes in Electrical Engineering | Year: 2014

This paper introduces an analytical approach to study the behaviour of Defected Patch Structures. More specifically the effect of addition of a U-Shaped slot to a Microstrip Patch. Roger 4003 has been chosen as the substrate material for the proposed antenna which has electrical permittivity of 3.4. In the initial section a probe fed rectangular patch has been simulated, which is followed by the addition of the U-Shaped slot. The dimensions of the Patch as well as that of the Slot have been selectively chosen to generate optimum results. © 2014 Springer.

Chatterjee P.,MCKV Institute of Engineering | Mondal S.,Mallabhum Institute of Technology | Chakraborty S.,Jadavpur University
International Journal of Technology | Year: 2014

Selection of an automated inspection device for an explicit industrial application is one of the most challenging problems in the current manufacturing environment. It has become more and more complicated due to increasing complexity, advanced features and facilities that are endlessly being integrated into the devices by different manufacturers. Selection of inspection devices plays a significant role in a manufacturing system for cost effectiveness and improved productivity. This paper focuses on the application of a very popular Multi-Criteria Decision-Making (MCDM) tool, i.e. ELimination and Et Choice Translating REality (ELECTRE) for solving an automated inspection device selection problem in a discrete manufacturing environment. Using a sample case study from the published literature, this paper attempts to show how different variants of the ELECTRE method, namely ELECTRE II, IS, III, IV and TRI can be suitably applied in choosing the most efficient alternative that accounts for both the decision maker's intervention and other technical elements. Using different ELECTRE methods, a list of all the possible choices from the best to the worst suitable devices is obtained while taking into account different selection attributes. The ranking performance of these methods is also compared with that of the past researchers. © IJTech 2014.

Mallick A.,Mallabhum Institute of Technology
Research Journal of Chemistry and Environment | Year: 2010

It is known that increase in mixing time helps carbon black disperse better in a polymer matrix. An experimental study was conducted to investigate the effect of mixing time on self-crosslinkable polyacrylic acid (PAA) and epoxidised natural rubber (ENR) blend, filled with HAF carbon black. The constituents were mixed at 180°C in a Brabender Plasticorder. Preliminary investigations show that there exits a critical mixing time, which varies with the filler loading as well as mixer rotor speed. The best dynamic mechanical and physical properties of the composites were obtained at the critical mixing time. These have been explained on the basis of maximum interaction between the filler particles and the rubber matrix at the critical mixing time due to (i) increase in filler surface area of filler with increase in dispersion and (ii) enhancement of carbon black promoted chemical interaction between PAA and ENR. Further mixing beyond the critical mixing time results in poorer properties of. the composites possibly because of mechanochemical degradation of ENR chains.

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