Articles written in Sadhana

    • A novel hybrid TOPSIS-PSI approach for material selection in marine applications


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      Selection of material in engineering design process is a difficult and elusive task due to enormous number of dissimilar materials availability. For effective selection of materials, the designers have to take into account a number of definite qualitative and quantitative criteria. In the same context, this paper proposes ahybrid TOPSIS-PSI approach for effective material selection in marine applications. In this paper, the selection index value has been calculated by using logical combination of PSI and TOPSIS algorithm and these values have been ranked in ascending or descending order. The highest preference selection index value has been taken as the best alternative for the marine application. To prove the effectiveness of the proposed hybrid TOPSIS-PSI algorithm, two practical examples are considered and the result shows that the proposed procedure provides satisfactory results when compared with past literature. Furthermore, hybrid procedure is performed for selection of best wt.% combination among hybrid aluminum nanocomposites for marine applications based on itsphysical, mechanical and corrosive behavior. The result reveals that 9 wt.% and 6 wt.% reinforced hybrid aluminum nanocomposites have optimum combination of all physical, mechanical and corrosion properties, respectively according to hybrid TOPSIS-PSI approach.

    • Experimental investigation and ANFIS modelling of surface roughness and MRR during chemically assisted MAF of AISI52100 alloy steel


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      AISI 52100 is a high chromium-carbon alloy steel having excellent compressive strength, wear resistance, hardness and toughness characteristics making it suitable candidate for automotive and aerospace applications. The finishing of such hardened alloy steel products is difficult using conventional finishing process that may hamper surface integrity and thus the sustainability of the component may be hindered. To this end, an unconventional finishing technology such as Magnetic abrasive finishing (MAF) could be utilized as a promising alternative for obtaining precise and sustainable finishing among versatile products from micro to nano ranges. In this experimental work, the Box-Behnken design of response surface methodology (RSM) was utilized fordesigning and conducting fifteen finishing experiments considering three MAF parameters namely voltage, tool rotational speed per minute and finishing time. The response variables considered as performance characteristics i.e., surface roughness and material removal rate (MRR), were measured after performing experiments on chemically treated AISI 52100 steel, at different combinations of input parameters. The oxidizing agent utilized was hydrogen peroxide for workpiece chemical treatment. The chemically treated alloy steel gets softened and passive films are generated, which was efficiently finished using magnetic processing force. The response surface plots were utilized to determine the influence of input MAF process parameters on the responses of surface roughness and MRR. The ANOVA analysis was performed for determining the most influential parameter and model significance. The desirability-based approach was used for multi-objective optimization and optimal set of parameters are realized, thus providing a sustainable finishing environment. Finally, an adaptive neuro fuzzy inference system (ANFIS) analysis was also performed for validating the results and establishing the relationship between input variables and output. The comparison of RSM and ANFIS resultsconcludes superiority of ANFIS model in predicting the performance characteristics of MAF process in finishing AISI 52100 alloy steel.

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