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20217
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Subject: Industrial and Production Engineering × End date: 2021 × Start date: 2021 ×
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Now showing 1 - 7 of 7
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    ThesisItemOpen Access
    Fabrication and investigation of MoS2 reinforced Aluminium based metal matrix composite
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-11) Dhyani, Ruchika; Chauhan, Sakshi
    Materials R&D has recently evolved from monolithic to composite materials. modifying structural materials to meet the global demand for lightweight, low-cost, high quality, and high-performance materials. Conventional metal alloys are unable to meet these unusual property combinations. Hence every effort aims to develop a material that can be appropriate for various industry and machinery purposes having better strength to weight ratio and high-temperature performance. Composites are replacing alloys in almost every engineering field having many such properties. When talking about continuous sliding and high-temperature applications lubrication becomes a necessity, but it is often difficult to keep a liquid lubricant from decomposing at high temperatures or in vacuum environments. Self-lubrication is the solution that is replacing liquid lubrication for such applications. In the present study, a modest attempt has been made to develop cast aluminium-based MoS2 reinforced metal matrix composite and worked upon to enhance mechanical and tribological properties of the Aluminium. The objective is to fabricate a self-lubricating composite via the stir casting method and analyse the properties of the composite after performing various tests. Despite the abundance of reinforcements accessible, only a few particles such as molybdenum disulfide have the property of lubrication as well as better load-carrying capacity than graphite and Polytetrafluoroethylene (PTFE), which are both extensively used lubricants. MoS2 is a prominent solid lubricant that has a low coefficient of friction in both normal and vacuum environments and does not demand adsorbed vapors or moisture. The composite containing Al and MoS2 seems to have a synergic effect on tribological properties while giving good mechanical properties up to a certain limit of MoS2 content.
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    ThesisItemOpen Access
    Experimental investigation of fabricated SiC reinforced aluminium based metal matrix composite
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-11) Rawat, Rohit; Singh, V.K.
    Aluminium has been widely used in engineering applications because it is light in weight. A vast number of experimental studies have been performed on addition of hard ceramic particles to aluminium matrix to enhance its strength, hardness and wear resistance. Every efforts aims to develop a material which can be appropriate for various industry and machinery purpose. In the present study, a modest attempt has been made to develop cast aluminium based silicon carbide particulate metal matrix composite. Here work objective is to develop a conventional low cost method of producing MMCs and to obtain homogeneous dispersion of ceramic particles. To achieve these objectives stir casting technique has been adopted. Adding Magnesium has improved wettability between aluminium and SiC particles by reducing the silicon di oxide layer on the surface of the SiC. In this work, we examine the influence of reinforcement on different mechanical and tribological properties. Density, porosity, microhardness, yield strength, ultimate tensile strength, percent elongation, and young modulus have been used to evaluate the mechanical properties. Pin on disc and dry sand abrasion tests were used to determine tribological characteristics. Microscopy tests, SEM show the dispersion of reinforcing phase in the matrix phase. In the case of SiC, mechanical and tribological properties are optimum at 21 wt. % of SiC.
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    ThesisItemOpen Access
    Comparative investigation of effect of surface modification techniques on Aluminium based metal matrix composites
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-11) Pathak, Ambuj; Singh, V.K.
    In today's world of engineering materials, every material should have a set of characteristics. It is the driving force behind the creation of several alloys, polymers, composites, and other materials. Metal matrix composites have a wide range of characteristics. The characteristics of metal matrix composites are sometimes determined by the matrix, which is a metallic element. Metal matrix composites' characteristics are influenced by the reinforcement, which can be metallic or non-metallic. In this work, we examine the influence of reinforcement on different characteristics of metal matrix composites such as self-lubrication. In this investigation, there are two focused areas. Effect of different reinforcement and Laser grooving on Mechanical and Tribological Characterization of MMCs. Comparative Investigation of the influence of reinforcement material and laser micro grooving on the morphological properties of MMCs. Mechanical characterization was performed with help of density, porosity, microhardness, macro hardness, yield strength, ultimate tensile strength, % elongation and young modulus. Tribological characterization was performed with the help of pin on disc test and dry sand abrasion test. Influence of reinforcement and laser micro grooving on the morphological properties and microstructure of MMCs analyzed with the help of SEM. In the case of SiC, physical, mechanical and wear characteristics are optimum at 21 wt. % of SiC. For MoS2 reinforcement, the 5.5 wt. % of MoS2 all characteristics found optimized.
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    ThesisItemOpen Access
    Optimization of cutting parameters during turning of 16MnCr5 steel using Taguchi technique
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-03) Agarwal, Swapnil; Rajiv Suman
    The present work concerned an experimental study of turning on 16MnCr5 Steel with the help of two different types of coated carbide insert (TNMG160404 and CNMG120404). The objective was to find the optimum machining parameters viz. cutting speed, feed, and depth of cut so as to minimize the surface roughness of the machined material and maximise material removal rate. Experimental work is carried out with the help of computer numeric control (CNC) lathe machine. Machining is done on a 28mm dia and 150 mm long 16MnCr5 steel rod. After machining material removal rate and surface roughness is measured. CNC turning operation are performed using L9 orthogonal array has been developed between dependent and independent variables with the help of Taguchi Technique. The data was compiled into MINITAB 17 software for analysis. The relationship between the machining parameters and the response variables (surface roughness and material removal rate) were modelled and analysed using Taguchi technique and optimization is done with the help of S/N ratio and by applying ANOVA approach. To get optimised parameters for surface roughness and material removal rate we applied lower-the-better condition for surface roughness and higher-the-better condition for material removal rate in signal-to-noise ration. Analysis of Variance (ANOVA) was used to investigate the significance of these parameters on the response variables. Results showed that feed is the most significant factor affecting the surface roughness for TNMG160404 Insert closely followed by cutting speed and depth of cut, Cutting Speed is the most significant factor affecting the surface roughness for CNMG120404 Insert closely followed by depth of cut and feed and depth of cut is the most significant factor affecting the material removal rate for TNMG160404 and CNMG120404 Insert closely followed by feed and cutting speed The optimum combination of parameters for carrying out the machining were obtained from Taguchi Technique are shown in the results section.
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    ThesisItemOpen Access
    Parametric investigation and optimization of submerged Arc welding process for IS-2062 and MS-10748 Weld
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-07) Pant, Shikha; Tewari, Maneesh
    Submerged Arc Welding is a method of fusion welding in which heat is produced by an arc between the work piece and a continuously fed filler metal electrode. A dense blanket of molten flux and slag formed from the granular fluxing material pre-placed on the work protects the molten weld pool from the surrounding atmosphere. Due to heat generation there are thermal and residual effects which reduce the quality of weld joint. Also in the welding of dissimilar metals, the difference between the melting point of both metals impact the joint quality. As per researches, much work has been cited on the optimization of process parameters using Aluminium and Ferritic metals but no work was found on the parametric optimization of Submerged Arc Welding (SAW) process with different mild steel metals. Therefore, in this study process parameters optimization of SAW process using IS2062 and MS10748 metals of mild steel is done. Welding current, welding speed and wire feed rate are taken as input parameters while tensile strength and hardness were selected as responses. Experiments were performed according to Box Behnken Design and ANOVA (Analysis of Variance) was used to determine the effects of each factor on weld quality. The welding current was found to affect the quality of weld joint the most. Microstructure analysis was done with the Optical Microscope with Interfaced Computer and it was found that coarse structure is formed in fusion zone.
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    ThesisItemOpen Access
    Parametric optimization and microstructural study of IS 2062 mild steel weld joints by submerged arc welding with Application of TiO2 nanoparticle inclusions
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-03) Semwal, Saurav; Tewari, Maneesh
    Submerged arc welding process is an arc welding process in which arc generates under the blanket of granular flux by which molten metal is isolated from the surrounding so that it is not react with the surrounding as result of that the quality of weld bead improve. In this welding, high heat generates during the process by which the rate of melting of electrode increase as the result of that high liquid metal deposited at the weld joint. With these advantages, some disadvantages associated with high heat generation such as thermal cycle and residual stress, it reduces the quality of weld bead. Many researchers have worked on SAW to improve the quality of weld joint such as modification of process and optimization of process parameters. But there was not any work reported on the parametric optimization of SAW process with TiO2 nanoparticles. Therefore in this study, parametric optimization of SAW process with TiO2 nanoparticles are done. Welding current, arc voltage, welding speed and height of TiO2 nanopowder in the groove were process parameters while ultimate tensile strength, impact toughness and depth of penetration were selected as responses. Experiments were carried out according to Taguchi's L9 orthogonal array (OA) and Taguchi analysis was used in optimization. Analysis of variance (ANOVA) was used to determine the effects of each factor on quality of weld joint. It was found that welding current affects the quality of weld joint at most. SEM (scanning electron microscope) and metallographic microscope were used to observe the effect of TiO2 nanoparticles on the microstructure of the weld joint and it was found with the use of TiO2 nanoparticles, the acicular ferrites structure was formed in the weld zone which increases the impact toughness.
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    ThesisItemOpen Access
    Parametric optimization of submerged Arc Welding for IS 10748 mild steel using Jaya algorithm
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-03) Sanwal, Reena; Jadoun, R.S.
    Submerged Arc Welding (SAW) is an important welding used in industries. It is used in evaporator casing, heat exchanger, and pipeline industries as the quality of weld bead obtained from SAW is high but due to high heat generation, the process consists of thermal cycles, which induces residual stress and degrades the quality of the weld joint. A lot of work on various types of metals to improve its quality has been done, but no work was done on Mild steel IS 10748 grade 5. In this study, Submerged arc welding was carried out taking Mild steel IS 10748 grade 5 as the base metal and process parameters were optimized to increase the quality of weld joint. In this study, three control process parameters viz. welding current, arc voltage and welding speed were taken. The responses of weld joint such as tensile strength, hardness and depth of penetration have been taken in this study. Experiments were carried out according to Taguchi's L9 orthogonal array (OA) and the experimental results were optimized by 'Jaya' algorithm and Taguchi analysis. The results obtained by Jaya algorithm were compared with the Taguchi analysis. As a result, it was found that the "Jaya" algorithm is an efficient algorithm. Analysis of Variance (ANOVA) was used to determine the effects of process parameters on the output responses, and the results showed that welding current is the most important influencing factor which affects the quality of weld joint and output responses such as Tensile strength, hardness and depth of penetration. From the results, it was concluded that: 1) Maximum Tensile strength was found at welding current of 550A, arc voltage of 32V and welding speed of 26 m/hr. 2) Maximum Hardness was found at welding current of 450A, arc voltage of 24V and welding speed of 34 m/hr. 3) Maximum Depth of penetration was found at welding current of 550A, arc voltage of 24V and welding speed of 26 m/hr. 4) Relative contributing effect of I/P parameters on tensile strength is Welding current > arc voltage > welding speed 5) Relative contributing effect of I/P parameters on hardness is Welding current > arc voltage > welding speed 6) Relative contributing effect of I/P parameters on depth of penetration is Welding current > welding speed > arc voltage 7) The results obtained were validated by conducting confirmation tests.