Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
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Item Optimization of Parameters Influencing Tensile Strength of Inconel-625 Welded Joints Developed Through Microwave Hybrid Heating(Elsevier Ltd, 2018) Badiger, R.I.; Narendranath, S.; Srinath, M.S.Processing of bulk metals through microwave energy in recent years is finding widespread applications and is being prominently accepted by the manufacturing industries. Present work, investigates the effect of process parameters on the tensile strength of Inconel-625welded joints produced through microwave hybrid heating using design of experiments. Experiments were carried out by using Taguchi's L16 factorial design of experiment method. Input parameters chosen were separator type; susceptor type and filler powder size. The output response chosen was ultimate tensile strength. Optimization of the process parameters is done through Taguchi method and percentage influence of each process parameter on the strength of weld is determined using ANOVA method. Combination of parameters with graphite separator, SiCsusceptor and finer filler powder yields optimum result. © 2017 Elsevier Ltd.Item Analysis of surface hardness and surface roughness in diamond burnishing of 17-4 PH stainless steel(IOP Publishing Ltd, 2019) Sachin, B.; Narendranath, S.; Dupadu, D.Burnishing is a chipless secondary finishing operation which yields excellent surface finish. The present work focuses on multi-response optimization of diamond burnishing on 17-4 precipitation hardenable stainless steel under dry environment by using Taguchi based grey relation analysis (TGRA) to simultaneously minimize surface roughness and maximize surface hardness. The effect of the process parameters such as burnishing speed, burnishing feed and burnishing force on performance characteristics like surface roughness and surface hardness were studied. Taguchi's L9 orthogonal array has been adopted for the experimental design. The optimal burnishing process parameters were found to be burnishing speed of 73 m/min, burnishing feed of 0.048 mm/rev and burnishing force of 150 N. Burnishing feed is the most significant parameter on burnishing performance characteristics. It has been proved that the performance characteristics of a diamond burnishing process have been improved by effective use of this technique. © Published under licence by IOP Publishing Ltd.Item Optimizing machining responses of homologous TiNiCu shape memory alloys using hybrid ANN-GA approach(Elsevier Ltd, 2022) Roy, A.; Sachin, B.; Raghavendra, T.; Rao, C.M.; Naik, G.M.; Soni, H.; Mashinini, P.M.; Narendranath, S.Fabrication of shape memory alloys using wire electro discharge machining (WEDM) has gained popularity over the last few years. Most widely used machining parameters of WEDM process are pulse on time (Øon), pulse off time (Øoff), servo voltage (σ) and wire feed (ω). WEDM responses like material removal rate (MR), surface roughness (SR), kerf width (KW) and recast layer thickness (LT) have been evaluated by researchers to determine machining characteristics and are also considered for this study. These machining responses determine the quality of machining and are majorly influenced by thermal conductivity and melting temperature of the WEDM workpiece. Actuation behavior of shape memory alloys is a function of phase transformation characteristics which in turn depends on elemental composition of the selected alloys. Therefore, dissimilar machining responses of Ti50Ni40Cu10 and Ti50Ni25Cu25 have been observed even though similar machining input values were used. This study utilized artificial neural network (ANN) mapping to establish WEDM response function – which was used as fitness function to perform multi objective optimization using genetic algorithm (GA). It was found that ANN successfully predicted machining responses of selected homologous alloys and GA helped in identifying suitable input parameter values to optimize machining responses. © 2022