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Theses

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2013 - 20194
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Subject: Industrial and Production Engineering × End date: 2019 × Start date: 2010 × Thesis Type: M.Tech. ×
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Now showing 1 - 4 of 4
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    ThesisItemOpen Access
    Effects of crack branching on fracture parameters under biaxial static loading
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-09) Saxena, Harshit Kumar; Bisht, Neeraj
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    ThesisItemOpen Access
    Application of heuristics approach for solving the scheduling problem : A case study in TVS Sundaram Fastners Ltd., Pantnagar
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2013-07) Singh, Sandeep; Jadoun, R.S.
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    ThesisItemOpen Access
    Optimization of MIG welding parameters of dissimilar metals using Artificial Neural Network (ANN) and Genetic Algorithm (GA)
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2013-07) Amit Kumar; Jadoun
    Welding is a process by which we can join two similar or dissimilar metals very efficiently. With the help of welding, success of the weld can be achieved up to 100%. Welding is more useful because it is less costly as compared to other fabrication process like casting, forming, machining. In this study dissimilar metals of stainless steel of grade 304 and stainless steel of grade 316 are used in this study. We make 27 samples at different levels. Metal inert gas (MIG) welding is used in this study for welding because MIG welding is automatic machine and even less skill worker can operate it. Phoenix 301 MIG welding machine is used for welding. Joint strength is determined using the universal testing machine (UTM). In this study Artificial neural Network is a very important tool which relates input and output.. For classification Artificial Neural Network was built which shows some inter relationship between Input and Output parameter. ANN work similarly as biological neuron does work. GA is used to optimize selected MIG welding parameters input parameter (voltage, welding speed and current) and output parameter (tensile strength). Artificial neural network and Genetic Algorithm is used to design the experiment. The results were analysed using Artificial Neural Network (ANN) which is a part of MATLAB for the optimal parameters GA tool used which also a part of MATLAB. MIG welding is also known as metal inert gas welding and gas metal-arc welding (GMAW). Gas metal arc welding (GMAW) is widely used in industry due to its high metal deposition and ease of automation with better weld quality.
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    ThesisItemOpen Access
    Experimental study of mechanical and thermal properties of Bhimal fiber reinforced epoxy bio-composite
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-07) Upreti, Bikraj; Chaudhary, A.K.
    Bio-composites are putting forth a concentrated effort in almost every engineering field due to their cost viability and biodegradable nature. In a huge variety of natural fibers, bhimal fiber is a very promising fiber that still needs to be explored as an engineering material, because it has very rarely been used by researchers in their research work. Bhimal fiber is a cellulosic fiber extracted from the stems of bhimal tree. It has a great tensile strength and flexibility. In present work bhimal fiber reinforced epoxy bio-composite was successfully prepared by hand lay-up casting technique in order to examine its mechanical and thermal properties for varying content of bhimal fiber ( i.e. 2, 3, 4, 5 & 6 weight % ). Before the preparation of composite, the surface of bhimal fiber was treated with potassium hydroxide to improve its adhesion properties. From the experiments it was observed that while increasing the fiber content up to 5 wt%, the tensile, flexural and compressive strength continuously increased then started decreasing. Similarly hardness and impact strength were also observed to be increasing up to a peak value at 4 wt% of bhimal fiber. All these results were supported by the SEM, TGA and DTA results. From the observations, it has been concluded that the bhimal fibers are lighter in weight than all existing fibers and strength to weight ratio of the bhimal fiber reinforced epoxy bio-composite is quite higher than the other conventionally used natural fiber based composites. Hence these can be used as reinforcement to produce much lighter weight bio-composites.