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New M.E.Thesis Submitted from Civil (Geotechnical)

Experimental Study of Characteristics of Soil Processed With Fly Ash & RECRON 3S by Gaurav Dhiman

Abstract

Soil is omnipresent material naturally in the universe and is the cheapest available construction material. As clay shows unfavourable behaviour as high shrinkage, swell characteristics and low bearing capacity, there is need to improve the strength characteristics. The aim of this research is to study the characteristics of soil when processed with fly ash and recron 3s. The method used in the research is randomly distributed fibre reinforcement soil also termed as RDFS. The objective of study

is to is increase the strength of clayey soil using recron 3s fibre and fly ash. The research was focused on to improve the strength of soil and to obtain a optimum amount of soil-fly ash-recron 3s mix. The proportions used of fly ash were 10, 15, 20, 30, 40 and 50% and recron 3s was in 0.2, 0.4, 0.6, 0.8 and 1.0% in amount by weight. In this study number of compaction test, unconfined compressive strength test and direct shear test were performed. From proctor test it was determined that O.M.C increases and M.D.D decreases with increase in fly ash and recron 3s. The fly ash was optimized at 15% and was used for further work. U.C.S value for virgin soil was 213.67 kN/m2, by adding fly ash it was increased to 458.13 kN/m2 at 15% fly ash. On addition of recron 3s strength was increased and maximum was at 0.8% i.e. 685.24 kN/m2 for 1 week curing and 723.87 kN/m2 for 2 week curing period. The results of direct shear were for virgin soil as cohesion intercept 25.78 and angle of shearing resistance 20.47˚ were increased on addition of fly ash and recron 3s to cohesion intercept 67.26 kN/m2 and angle of shearing resistance 28.66˚. From the experimental results it was concluded that recron 3s work as reinforcing material and provides strength to the soil as well as fly ash worked as cementing material. The preeminent proportion obtained was 82.2% soil – 15% fly ash – 0.8% recron 3s fibre.

New M.E.Thesis Submitted from Production

Experimental Investigation on Modelling of Surface Grinding Process:A Green Manufacturing Approach by Manjot S. Bedi 

Abstract

In today’s scenario, the major focus is on the wellbeing of mankind and environment. For this, in the field of manufacturing, every possible attempt has been made to make the manufacturing processes environment friendly and safer for the health. This gave birth to a unique approach of Green manufacturing. Green manufacturing involves the use of energy efficient, non-polluting techniques for making the products. The concept of Green manufacturing has been emerged as a result of the efforts of technologists for providing ecological conditions on the shop floor. The main source of health hazards in machining operations is cutting fluids. These fluids are composed of minerals and synthetic compounds. A number of methods like Minimum Quantity Lubrication (MQL), dry machining, cryogenic machining have been suggested to eradicate the pollution problems. In the present work, the concept of green manufacturing has been applied on surface grinding process, which is one of the main processes leading to aerosol or particulate pollution. There are some research gaps to achieve the objectives of Green Machining processes In this study, some parameters like cutting force, specific energy, aerosol generation and surface roughness are experimentally monitored, and compared with the existing theoretical model. In the present work, a model is referred from Stephen Malkin’s Grinding Technology (1989). From the plots of experimental data and theoretical model data, it was observed that the model is significant up to much extent with today’s manufacturing scenario. It shows that dry machining, which is considered to be most ecofriendly, leads to high aerosol generation, high surface roughness and consumes more force and energy. On the other hand, the flood and MQL methods are somewhat comparable to each other but overall the MQL method leads the other two techniques in all the three spheres of mechanical, quality and health considerations.

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.