Research article Topical Sections

Modelling and analysis of strain hardening characteristics of sintered steel preforms under cold forging

  • Received: 19 August 2018 Accepted: 18 January 2019 Published: 23 January 2019
  • An attempt has been made to model strain hardening parameters for sintered iron and iron-0.4% carbon steel preforms that are subjected to cold upsetting. The aspect ratios and lubricants are also considered as variables apart from the compositions. The 23 factorial design has been considered to design the experiment and subsequently Yate’s algorithm is utilized to construct the model. The model has further been refined using analysis of variance. The final model adequacy is determined through correlation coefficient which is predicted to follow near unity. Thus the mathematical model can be utilized to predict strain hardening parameters such as strength coefficient, K, and strain hardening exponent, n, subsequently to design the process parameters to inculcate the required strain hardening characteristics within the range of process parameters specifications that are considered in the present investigation.

    Citation: Ananthanarayanan Rajeshkannan, Sumesh Narayan, A.K. Jeevanantham. Modelling and analysis of strain hardening characteristics of sintered steel preforms under cold forging[J]. AIMS Materials Science, 2019, 6(1): 63-79. doi: 10.3934/matersci.2019.1.63

    Related Papers:

  • An attempt has been made to model strain hardening parameters for sintered iron and iron-0.4% carbon steel preforms that are subjected to cold upsetting. The aspect ratios and lubricants are also considered as variables apart from the compositions. The 23 factorial design has been considered to design the experiment and subsequently Yate’s algorithm is utilized to construct the model. The model has further been refined using analysis of variance. The final model adequacy is determined through correlation coefficient which is predicted to follow near unity. Thus the mathematical model can be utilized to predict strain hardening parameters such as strength coefficient, K, and strain hardening exponent, n, subsequently to design the process parameters to inculcate the required strain hardening characteristics within the range of process parameters specifications that are considered in the present investigation.


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