Browsing by Author "Kannan, T"

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    Estimation of Optimum Dilution in the GMAW Process Using Integrated ANN-GA
    (Hindawi Ltd., Adam House) P, Sreeraj; Kannan, T; Maji, Subhashis
    To improve the corrosion resistant properties of carbon steel, usually cladding process is used. It is a process of depositing a thick layer of corrosion resistant material over carbon steel plate. Most of the engineering applications require high strength and corrosion resistant materials for long-term reliability and performance. By cladding these properties can be achieved with minimum cost. The main problem faced on cladding is the selection of optimum combinations of process parameters for achieving quality clad and hence good clad bead geometry. This paper highlights an experimental study to optimize various input process parameters (welding current, welding speed, gun angle, and contact tip to work distance and pinch) to get optimum dilution in stainless steel cladding of low carbon structural steel plates using gas metal arc welding (GMAW). Experiments were conducted based on central composite rotatable design with full replication technique, and mathematical models were developed using multiple regression method. The developed models have been checked for adequacy and significance. In this study, artificial neural network (ANN) and genetic algorithm (GA) techniques were integrated and labeled as integrated ANN-GA to estimate optimal process parameters in GMAW to get optimum dilution.
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    Optimization of weld bead geometry for stainless steel cladding deposited by GMAW.
    (American Journal of Engineering Research (AJER)) Sreeraj, P; Kannan, T; Maji, Subhasis
    The cladded components quality always depends on clad bead geometry and coefficient of shape of welds and dilution. In order to obtain better quality, good corrosion resistant properties and to reduce manufacturing costs the bead parameters must be optimized. The above objectives can be achieved by developing mathematical equations to predict bead geometry. This paper presents central composite rotatable design with full replication technique was used to obtain four critical dimensions of bead geometry. The developed models have been checked for adequacy and significance. The experiments were conducted by depositing Type ER-308L stainless steel wire on to IS-2062 structural steel plates. The results of confirmation experiments showed that the developed models can be able to predict bead geometry with reasonable accuracy. This study proved that both direct and interaction effect plays a major role in determining bead dimensions and dilution. The process parameters were optimized using response surface methodology (RSM).