Mugberia Gangadhar Mahavidyalaya


Mugberia Gangadhar Mahavidyalaya

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Samanta B.C.,Mugberia Gangadhar Mahavidyalaya | Maity T.,Prabhat Kumar College
Pigment and Resin Technology | Year: 2016

Purpose - This paper aims to evaluate the concentration effect of red mud waste filler on mechanical and thermal properties of amine functional aniline furfuraldehyde condensate (AFAFFC) modified epoxy composite along with the optimum result of modified epoxy. Design/methodology/approach - For effective toughening, different compositions were made by adding various concentration of AFAFFC to epoxy. The concentration of 2, 5 and 10 parts per hundred parts of epoxy resin of aluminium silicate-based pristine red mud waste was incorporated into the each modified epoxy matrix. These filled modified matrixes were cured with ambient temperature curing agent triethylene tetramine and evaluated with respect to their impact, tensile and flexural strengths. The morphology was analyzed by scanning electron microscopy and dynamic mechanical analysis. The thermal stability by thermogravimetric analysis was also reported. Findings - The modification of epoxy resin using AFAFFC and filler showed significant enhancement of mechanical strength over unmodified epoxy. The increase depends on the concentration of the modifier and filler. The reason behind this is that in the initial stage of curing, the AFAFFC are miscible with the epoxy and form a homogeneous solution. This good mixing promotes the chemical reaction and network formation. During the curing process, as the molecular weight increases, the component separates with in the reaction medium to form a second dispersed phase. Research Limitations/implications - The present paper discussed the effect of only one type of modifier, i.e. AFAFFC, and one filler, i.e. red mud waste filler effect. Besides these by changing the amine and aldehyde, other modifiers could be synthesised and the efficiency of modification of epoxy resin using these modifiers and other filler besides red mud waste such as paddy husk, bamboo dust, etc., could also be studied. Originality/value - The present study regarding the concentration effect of modifier and filler was novel, and AFAFFC modified filled epoxy could be used in the field of coating, casting, adhesives, potting and encapsulation of semiconductor devices. © 2016 Emerald Group Publishing Limited.

Giri A.,Mugberia Gangadhar Mahavidyalaya | Kanawjia S.K.,National Dairy Research Institute | Singh M.P.,NDDB Dairy Services
Journal of Food Science and Technology | Year: 2017

To develop a functional processed cheese spread (PCS) different levels of inulin (0, 4, 6 and 8%) addition into PCS was studied with its physico-chemical, sensory and fatty acid profile and micro-structural quality. As the level of inulin addition increased moisture, aw and titratable acidity, decreased. At the highest level of inulin addition (8%) sensory panelists reported a significant decrease in total sensory score. PCS with 6% insulin was found to have optimum from quantity. The addition of inulin in cheese spread decreased both total saturated fatty acid and unsaturated fatty acid and in unsaturated fatty acid, mono unsaturated fatty acid decreased; however, polyunsaturated fatty acids increased as compared to the control. Scanning Electron Micrograph of PCS containing insulin showed uniform distribution of insulin with diameter ranged 4–10 µm in the protein matrix. © 2017 Association of Food Scientists & Technologists (India)

Jana D.K.,Haldia Institute of Technology | Maity K.,Mugberia Gangadhar Mahavidyalaya | Das B.,Jhargram Raj College | Roy T.K.,Bengal Engineering and Science University
Journal of Simulation | Year: 2013

In this paper, an economic production quantity model for multi-item with storage space and budget constraints in a volume flexible manufacturing system is developed. Here it is assumed that the demand rate is constant up to a certain level of stock and after that it depends on stock itself. The unit production cost is taken to be a function of the finite production rate involving labour cost and wear and tear expenditure. Here, the inventory costs, selling price, storage space and available budget are defined imprecisely. Using necessary measure theory, the imprecise problem is reduced to deterministic problem. Here, necessity measure approach has been used for triangle fuzzy number and parabolic fuzzy number. Finally the crisp nonlinear optimization problem is solved by Fuzzy simulation, Contractive Mapping Genetic Algorithm and Generalized Reduced Gradient technique. The model is illustrated numerically and the results are compared. © 2013 Operational Research Society Ltd.

Jana D.K.,Haldia Institute of Technology | Das B.,Sidho Kanho Birsha University | Maity K.,Mugberia Gangadhar Mahavidyalaya
International Journal of Computing Science and Mathematics | Year: 2015

In many inventory situations, purchasers are allowed a period to pay back for the goods bought without paying any interest. Depending on the length of that payment period, the purchaser can earn interest on the sales of the inventory. This paper develops a model to determine an optimal ordering policy for deteriorating items under inflation, stock dependent demand, permissible delay of payment, allowable shortage and unfinished demand is partially backlogged in fuzzy rough environments. The present value of total cost incurred in this inventory system is developed first, then an optimal order quantity and maximum allowable shortage are obtained by using a search procedure. The effect of inflation and time value of money was investigated under given sets of inflation and discount rates. This study shows that the optimal order quantity and maximum allowable shortage vary with the difference between inflation and time discount. Computational results provide some interesting policy implications. The genetic algorithm (GA) is used to make decision for above inventory model. The model is illustrated with some numerical data. Copyright © 2015 Inderscience Enterprises Ltd.

Maity K.,Mugberia Gangadhar Mahavidyalaya
Studies in Fuzziness and Soft Computing | Year: 2014

In reality, there are different types of supply-chain system for production. One such type may be that a producer purchases raw materials from several vendors and the finished products are sold to a retailer. The retailer may plan to procure in large quantity to avail the price discount, transportation advantage, etc., and adopt for warehouse facilities system-one warehouse at the market place from where sale is conducted and the other (if necessary) at a distance away from the market place from which the units are transported to the market warehouse (MW) continuously to keep MW full. This motivated us to take up the following three supply-chain production inventory models. In the first model, the above mentioned type two warehouse supply chain model (SCM) is considered with imprecise stock dependent demand and in this model the objective goal is assumed to be fuzzy. There are budget and space constraints which are also in fuzzy nature. The fuzziness are defuzzified following possibility, necessity and credibility measures. In the second model (i) nature of collection of raw-material is different; (ii) demand is increasing with time in a decreasing rate, (iii) selling price of the partial backlogging units depends on the waiting time of the customers. The model is formulated with defective production system and learning effect which is fuzzy in nature. Learning effect i.e., experience is introduced in reducing the defective rate in production. In last model, an integrated production-inventory model is presented for a supplier, manufacturer, and retailer supply chain under conditionally permissible delay in payments in uncertain environments. The supplier produces the item at a certain rate, which is a decision variable, and purchases the item to the manufacturer. The manufacturer has also purchased and produced the item in a finite rate. The manufacturer sells the product to the retailer and also gives the delay in payment to the retailer. The retailer purchases the item from the manufacture to sell it to the customers. Ideal costs of supplier, manufacturer, and retailer have been taken into account. The SCMs have been developed and solved analytically fuzzy environments, and finally, corresponding individual profits are calculated numerically and graphically.© Springer-Verlag Berlin Heidelberg 2014.

Maity K.,Mugberia Gangadhar Mahavidyalaya
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems | Year: 2014

In this study, a problem for advertising policy to avoid the depreciation rate of sale, an imperfect production rate and environmental pollution control is formulated with reliability and rework over a finite time horizon. The advertisement and production rates are function of time which are taken as control variables. Also, recent studies indicate that industrial solid waste (ISW) in production period has been an important contributor to greenhouse gas (GHG) emissions. The company has agreed to invest a large amount of money to manage the ISW through technological up gradation, etc that reduce the GHG in environment. The unit production cost is a function of production rate and also dependent on raw material cost, development cost due to technological up gradation and reliability and wear-tear cost. The total profit which consists of the sales proceeds, marginal selling price, production cost, operating cost, pollution cost, inventory holding cost and advertisement cost is formulated as an optimal control problem. The selling price and all inventory costs are fuzzy rough in nature and using expectation of fuzzy rough technique, the problem is converted into equivalent crisp problem and solved using Pontryagin's Maximum Principle and Generalized Reduced Gradient Method (GRG). Finally numerical experiment, sensitivity analysis for marginal selling price, defective parameter, rework and depreciation rate of sale and graphical representation are provided to illustrate the model. © 2014 World Scientific Publishing Company.

Seth S.K.,Mugberia Gangadhar Mahavidyalaya | Das N.K.,Bengal Engineering and Science University | Aich K.,Bengal Engineering and Science University | Sen D.,Bengal Engineering and Science University | And 3 more authors.
Journal of Molecular Structure | Year: 2013

Co-crystals of 1a and 1b have been prepared by slow evaporation of the solutions of mixtures of 2,7-dimethyl-1,8-naphthyridine (1), urea (a) and thiourea (b). The structures of the complexes are determined by the single crystal X-ray diffraction and a detailed investigation of the crystal packing and classification of intermolecular interactions is presented by means of Hirshfeld surface analysis which is of considerable current interest in crystal engineering. The X-ray study reveals that the co-crystal formers are envisioned to produce N-H...N hydrogen bond as well as N-H...O/N-H...S pair-wise hydrogen bonds and also the weaker aromatic π...π interactions which cooperatively take part in the crystal packing. The recurring feature of the self-assembly in the compounds is the appearance of the molecular ribbon through multiple hydrogen bonding which are further stacked into molecular layers by π...π stacking interactions. Hirshfeld surface analysis for visually analyzing intermolecular interactions in crystal structures employing molecular surface contours and 2D Fingerprint plots have been used to examine molecular shapes. Crystal structure analysis supported with the Hirshfeld surface and fingerprint plots enabled the identification of the significant intermolecular interactions. © 2013 Elsevier B.V. All rights reserved.

Seth S.K.,Mugberia Gangadhar Mahavidyalaya
Inorganic Chemistry Communications | Year: 2014

A unique discrete octameric cluster of lattice water molecules in the lattice voids produces a 3D supramolecular architecture through hydrogen bonding interactions. These cubic water clusters have not been structurally documented so far and illustrate new modes of supramolecular association of water molecules. © 2014 Elsevier B.V.

Maity T.,Hijli College | Samanta B.C.,Mugberia Gangadhar Mahavidyalaya
Pigment and Resin Technology | Year: 2015

Purpose - The purpose of this paper was to check effectiveness of amine functional chloroaniline acetaldehyde condensate (AFCAC) as a new curing agent for diglycidyl ether of bisphenol A (DGEBA) resin. For this purpose, first AFCAC was synthesised, characterised and then curing reaction was carried out.Design/methodology/approach - Equimolecular mixture of AFCAC and DGEBA was subjected to curing reaction, and the reaction was followed by differential scanning calorimetry (DSC) analysis. The kinetic studies of this curing reaction were also carried out from those DSC exotherms. The mechanical properties, dynamic mechanical analysis (DMA) and thermogravimetric analysis (TGA) of cured epoxy were also reported. Findings - DSC results reflected the effective first order curing reaction of AFCAC with epoxy resin. Mechanical properties reflected appreciable rigidity of AFCAC cured epoxy matrix and TGA showed that the cured epoxy networks were thermally stable up to around 297°C. Research limitations/implications - The curing agent AFCAC was synthesised by using chloroaniline and acetaldehyde in acid medium. There are some limitations for this procedure. The synthetic procedure is pH dependent. So reaction cannot be done at any pH value. The reaction must also be carried out at room temperature without any heating. To obtain low molecular weight curing agent, chloroaniline and acetaldehyde cannot be taken in equimolecular ratio because the equimolecular mixture of them produces high molecular weight condensate. This was shown in our previous publication. Some implications are also there. By changing amine and aldehyde other curing agents could be synthesised and the curing efficiency of those for epoxy resin could also be studied. Originality/value - Experimental results revealed the greater suitability of AFCAC as curing agent for DGEBA resin and novelty of AFCAC cured matrix in the field of protective coating, casting, adhesives, etc. © Emerald Group Publishing Limited.

Maity K.,Mugberia Gangadhar Mahavidyalaya
Intelligent Systems Reference Library | Year: 2015

In this chapter, several intelligent techniques to solve several warehouse problems have discussed in uncertain environment. In first model, analogous to chance constraints, real-life necessary and possibility constraints in the context of two warehouses multi-item dynamic production-inventory control system with imprecise holding and production costs are defined and defuzified following fuzzy relations. Hence, a realistic two warehouse multi-item production-inventory model without shortages and fuzzy constraints has been formulated and solved for optimal production with the objective of having maximum profit. Here, the rate of production is assumed to be a function of time and considered as a control variable. Also the present system produces some defective units alongwith the perfect ones and the rate of produced defective units is stochastic in nature. Here demand of the units is stock dependent and known and the defective units are selling with reduced prices. The space required per unit item, available storage space are assumed to be imprecise. The budget constraints is also imprecise. The space and budget constraints are of necessity and/or possibility types. The model is reduced to an equivalent deterministic model using necessary and possibility constrained and solved for optimum production function using Pontryagin’s Optimal Control policy, the Kuhn-Tucker conditions and mathematica software 9.0. The engineering students in Optimization engineering and M.B.A.s in the business curriculum can used the model easily. In second model, a three layer supply chain production inventory model (TLSCPIM) under conditionally permissible delay in payments is formulated in fuzzy-rough and Liu uncertain environment. Supplier’s supply the item at a finite rate. Manufacturer has also purchased the said item from supplier and produced the item in a certain rate which is the decision variable. Manufacturer sale his product to the retailer and also give the delay in payment to the retailer. Retailer purchase the item from manufacture and to sale the customers. Ideal costs of supplier, manufacturer and retailer have been taken into account. Also using expectation of fuzzy rough number and Liu uncertain number, the fuzzy rough inventory parameters and Liu uncertain inventory parameters are converted into equivalent crisp problem. Then the problem is solved by Mathematica software 9.0. The model is illustrated through numerical examples and results are presented in tabular and graphical form. In this chapter, various type of warehouse/supply chain problems have been developed where some warehouse parameters are fuzzy/fuzzyrough/ Liu-uncertain in nature. Then several intelligent techniques are used to convert the uncertain warehouse problems into crisp problems and to solve the problems. In addition, this chapter has also included several uncertain techniques/ soft computing techniques which are used in seminar classes in industry and teaching an introductory production planning and control or an operations management course for M.B.A. students. © Springer International Publishing Switzerland 2015.

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