New M.E.Thesis Submitted from Production

Experimental Investigations on Mechanical Properties of Casting Prepared by Organic Fiber Reinforcement in Vacuum Moulding by Gurdeep Singh, Production

Abstract

 In the present research work effort has been made to investigate the mechanical properties of  castings prepared by organic fiber reinforcement in vacuum moulding process. The study started with selection of the component for industrial application. The input parameters of process are: weight/volume proportion of mixture organic fiber with in refractory sand, vacuum pressure, A.F.S number of sand. The study highlights the percentage contribution of different input parameters on micro hardness, dimensional accuracy and surface roughness in vacuum moulding process. 

New M.E.Thesis Submitted from Industrial

An Improvement in Drug Inventory Management of Hospital Pharmacy Store by Combined ABC-VED Analysis by Vishavdeep Singh, Industrial

Abstract

Purchasing and inventory control are important factors of procurement process. Both are interrelated

and one cannot be effective without each other. Keeping in view the cost and lead time, inventory is stocked as per customer requirements. Inventory is managed a bit differently in hospital pharmacy store as compared to retail stores and manufacturing units. The purpose of this research work is to suggest the suitable methods for having the effective inventory management of pharmacy store situated in Ferozepur (Punjab). Here in this hospital pharmacy store, the inventory of drugs is managed by rough estimates earlier due to stock-out problem of drugs occurring at regular intervals. Moreover reorder level and safety stocks were not managed properly in pharmacy store. An attempt has been made to implement inventory tool (i.e. Combined ABC-VED analysis) in pharmacy store to identify the drugs that required more managerial control. A (3×3) matrix i.e. nine sub-categories are formed, in which AV and BV showed most important and critical drugs. In the sample of 442 drugs selected out of 1200, AV and BV found to be 35 and 39 in number amounting for 36.82% and 29.67% of total annual drug expenditure (ADE) of the pharmacy respectively. Based on AV and BV sub-categories, checklists of proper reorder level have been suggested for having better drug inventory management in hospital pharmacy store.

New M.E.Thesis Submitted from Industrial

Application of QC Tools in a Small Manufacturing Unit:A Case Study by Karamjeet Singh, Industrial

Abstract

With increased competition and demand of products it has become very necessary for every industry that their products must possess needed quality at an acceptable cost and also a profit margin for the industry. By quality control, all the factors related with production of a product are reviewed so that final product is according to the needs of the customer. To fulfill these objectives, quality control tools are needed and these tools had already shown their effectiveness from previous sixty years. The seven quality control tools or techniques are Pareto chart, Check sheet, Histogram, Cause and effect analysis, Scatter diagram, Flow chart and Control charts. These tools or techniques can be used at any stage of production process. The aim of these tools is to analyze the problem and then giving appropriate solution so that final product is defect free which in turn will improve the quality and increase the customer satisfaction. In present work, these quality control tools have been used in a small scale Indian manufacturing unit to reveal the causes of various defects in bolts and also to reduce the rejection so that the wastage of money can be stopped. Three types of bolts viz. Clutch housing bolt of TATA ace, Clamp bolt of TATA and Rear hanger bolt of Leyland have shown an overall rejection of 0.73%. Various defects responsible for rejection were bending, cracking, threading, improper head, undersize, oversize and improper coloring etc. Check sheet was used to collect the daily data related to production and rejection of bolts. By using tools like Pareto diagram and Fishbone diagram the major defects indentified were bending, cracking and threading. The overall rejection has been reduced to 0.22%. Earlier the monthly loss of money was Rs. 52486.8 and now it has trimmed down to Rs. 16570.6 per month. Hence savings of Rs. 35916.2 have been made per month.

New M.E.Thesis Submitted from cse

Tuning of COCO MO Model Parameter by using BEE Colony Optimization by Sherry Chalotra, cse

Abstract

Software estimation has become most necessary part of development process that is carried out at initial phases so as to get a rough idea of effort. Once effort is predicted it become easy to make predictions related to cost and time. But due to less availability, changing requirements, and incomplete data make it difficult to make such predictions. Many models are available but no one is capable of giving accurate results. The accurate results if obtained at early stages give significant benefits in budgeting, staffing management and control of project. This research work focused on effort estimation process and presented a method for estimating effort by using Bee Colony Optimization which tends to optimize COCOMO parameters. To measure the accuracy of proposed model MMRE is used and compared with COCOMO model and other existing models like, COCOMO II, SEL model, Halstead Model, Walston- Felix Model, and Bailey- Basil model. MMRE for COCOMO models comes out to be 0.43 whereas proposed model give values of 0.11 which showed that proposed model gave better results than COCOMO. When same proposed model was compared with other models the MMRE for it was optimum among all which suggests that proposed method can be used for planning of project, budgeting, and scheduling etc. 

New M.E.Thesis Submitted from ECE

Analysis and Design of 5.2GHz Rectangular U Slot Micro strip Patch Antenna Using ANFIS by Harleen Kaur,ECE

 

Abstract

ANFIS is a network structure that has learning capability like Neural Networks and decision making capability like Fuzzy Inference System. ANFIS can be performed the same as a predictor, estimator or as a controller in a variety of fields such as time series prediction, pattern recognition and control system etc.

ANFIS was first proposed by Jang (1993). In traditional ANFIS, parameters are trained using the hybrid learning and back propagation alone. At the very first ANFIS is implemented by Guney(2006) for the computation of physical dimensions of Rectangular Microstrip patch Antenna.

In the proposed work, firstly the ANFIS model has to be designed for the frequency range of 3 - 6.30 GHz. Then the trained ANFIS model is used to design of rectangular U slot microstrip patch antenna. Afterwards the ANFIS model will be checked and verified for the estimation of physical parameters of rectangular U slot microstrip patch antenna such as the length and width of the rectangular patch, the length and width of the U slot with reference to IE3D model. The average absolute error using the proposed method for resonant frequency is 0.5%. The results show that proposed method produces results which are in excellent agreement with the simulated data from IE3D software.

This demonstrates that ANFIS being fast and accurate design methodology can be implemented to effectively design microstrip patch antennas with complex structure along with the other related work. Also the analysis of rectangular U slot antenna is to be done by varying the U slot position and Feed point. Then the effect of U slot position and feed point on various antenna output parameters is to be analyzed.

New M.E.Thesis Submitted from Civil

Cost Optimisation of Beam and Slab By Hatindera Singh, Civil

Abstract

As most of the work of optimisation is done by considering weight as objective function with the assumption that minimum cost will come from minimum weight. But practically it is not so. The paper presents the optimisation of beam and slab taking cost as objective function. The variables used in this research are discrete variables. The optimisation techniques allow designers to design perfect design for the structure. The perfect design of a structure means the utmost economic structure deprived of impairing the conditions for which it is made. The design objective of our work is to minimise the total cost of a structure. The resultant structure, nevertheless, must not only be marked with a low cost but also follow with a working strength requirements for the given applied load as per IS: 456-2000. Two types of structural element beam and slab are studied, namely: singly reinforced T-beam and simply supported one-way slab. These elements are designed according to the requirements of the IS 456:2000 code. Total cost includes cost of concrete, steel and form work are considered. Genetic Algorithm which is a type of heuristic techniques was carried out in this research. Genetic algorithm belongs to the family of evolutionary algorithms. Genetic Algorithm is an iterative procedure that is driven from the ‘survival of the fittest’ principle of Darwinian Theory of natural evolution. Meanwhile the modification of aspects in a genetic algorithm (e.g., population size, crossover, and maximum number of generations) is a substantial issue for any application, we have applied our own practise to deal with this problem. Structural design optimisation of RC Beam and Slab is done using MATLAB software.

 

New M.E.Thesis Submitted from Production

Experimental Investigations into Dry EDMOF EN31 Steel by Sukhjinder S. Sekhon, Production

Abstract

Dry electric discharge machining (Dry EDM) is one of the novel EDM technology in which gases namely helium, argon, oxygen, nitrogen etc. are used as a dielectric medium at high pressure instead of oil based liquid dielectric. The present study investigates dry electric discharge machining (with rotary tool) of EN-31 steel to achieve lower tool wear rate (TWR) and better surface roughness (Ra) by performing a set of exploratory experiments with oxygen gas as dielectric. The effect of polarity, discharge current, gas flow pressure, pulse-on time, R.P.M. and gap voltage on the Material removal rate, Tool wear rate and surface roughness (Ra) in dry EDM was studied with copper as rotary tool. The significant factors affecting MRR are discharge current and pulse on time. The significant factors affecting TWR are gas flow pressure, pulse on time and R.P.M. TWR was found close to zero in most of the experiments. The significant factors affecting Ra are pulse on time, gas flow pressure and R.P.M. It was found that polarity had nearly zero effect on all the three output variables.

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