Search Results - Sundar Singh Sivam, SP

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  1. 1
    A study on microstructure and recrystallization kinetics on low deformed pure ETP copper

    A study on microstructure and recrystallization kinetics on low deformed pure ETP copper by Harshavardhana, N, Sundar Singh Sivam, SP, Kumar, Gulshan, Saxena, Ashish Kumar

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  2. 2
    Artificial Neural Network prediction of forming limit diagram for directionally-rolled, size scaled copper strips

    Artificial Neural Network prediction of forming limit diagram for directionally-rolled, size scaled copper strips by Sivam, SP Sundar Singh, Harshavardhana, N, Rajendran, R

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  3. 3
    Hybrid optimisation of input process parameters of deep-drawn cylindrical cups from directional rolled copper strips

    Hybrid optimisation of input process parameters of deep-drawn cylindrical cups from directional rolled copper strips by Sivam, SP Sundar Singh, Rajendran, R

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  4. 4
    Effect of cryo-rolling on mechanical properties and microstructure of pure copper

    Effect of cryo-rolling on mechanical properties and microstructure of pure copper by Sundar Singh Sivam, S.P., Rajendran, R., Harshavardhana, N.

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  5. 5
    An investigation on the size-effects on thickness-distribution of directionally rolled multi-stage deep-drawn copper cups through finite element analysis, and its validation through experimentation employed scaling law

    An investigation on the size-effects on thickness-distribution of directionally rolled multi-stage deep-drawn copper cups through finite element analysis, and its validation throug... by Sivam, S.P. Sundar Singh, Rajendran, R.

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  6. 6
    A study on deep drawn cups and the selection of optimal settings deploying ANN training and architectural parameters using the Taguchi ARAS approach

    A study on deep drawn cups and the selection of optimal settings deploying ANN training and architectural parameters using the Taguchi ARAS approach by Sivam, S.P. Sundar Singh, Rajendran, R.

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  7. 7
    Experimental validation of machine learning models for prediction of the thickness distribution of directionally rolled copper strips under scaling law

    Experimental validation of machine learning models for prediction of the thickness distribution of directionally rolled copper strips under scaling law by Sivam, S.P. Sundar Singh, Rajendran, R.

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