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Influence of T6 Heat Treatment Analysis on the Tribological Behaviour of Cast Al-12.2Si-0.3 Mg-0.2Sr Alloy Using Response Surface Methodology

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Abstract

The present research deals with the fabrication of Al–Si–Mg-Sr alloy cast using a permanent mould. At different ageing temperatures and time, the cast alloys were heat-treated for the improvement of tribological properties. The alloys were solutionized for 12 h at 525 °C and aged at different ageing temperatures and time. The wear processes parameter used for the present investigation were ageing temperature, ageing time, and applied load. Pin-on-Disc tribometer was used for performing the wear test. The tribological characteristics of the alloy cast were investigated using response surface methodology. The investigation found that the alloying of strontium refined the microstructure of Al–Si–Mg. It was noted from the findings obtained that there was a substantial change in the value of the specific wear rate and coefficient of friction as the wear process factors were varied. Moreover, the worn-out surface analysis on the heat-treated specimens was studied using a scanning electron microscope

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Data Availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

RSM:

Response surface methodology

DoE:

Design of Experiments

xi:

Ith experimental parameters/factor

Y:

Response

b0 :

Mean values of the responses i.e., constant of regression equation

bi :

Linear coefficient of factor xi in regression equation

bii :

Quadratic coefficients of factor xi in the regression equation

bij :

Interaction constant coefficients between the factors xi ad xj in the regression equation

FCCD:

Face-centered central composite design

p-value:

Probability value defined as the probability that the observed results could occur when the null hypothesis is true

R2 :

The coefficient of determination

adj. R2 :

Adjusted R2 defined as the percentage of response variable variation that is explained by its relationship with one or more predictor variables, adjusted for the number of predictors in the model

OHNS:

Oil hardened non – shrinkage steel

cof / COF:

Coefficient of friction

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Authors and Affiliations

  1. Department of Mechanical Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India

    Karthik V. Shankar, Bharath S. Pillai, S. R. Krishnanunni, N. S. Harikrishnan, A. R. Harinarayanan & Vaishnav S. Kumar

  2. Department of Chemical Engineering and Materials Science, Centre of Excellence in Advanced Materials and Green Technologies (CoE-AMGT), Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India

    Meera Balachandran

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  1. Karthik V. Shankar
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Contributions

Conceptualization was done by KVS; Methodology was done by BSPK and VSK; Formal analysis and investigation were carried out by KVS and MB; Writing—original draft preparation was done by KVS, MB and HAR; Writing—review and editing was carried out by KVS and MB; Funding acquisition was done by BSP, KSR, VSK and NSH; Resources was done by BSP, SRK, VSK and NSH; Supervision was done by KVS and MB.

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Correspondence to Karthik V. Shankar.

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Shankar, K.V., Balachandran, M., Pillai, B.S. et al. Influence of T6 Heat Treatment Analysis on the Tribological Behaviour of Cast Al-12.2Si-0.3 Mg-0.2Sr Alloy Using Response Surface Methodology. J Bio Tribo Corros 7, 96 (2021). https://doi.org/10.1007/s40735-021-00531-6

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  • DOI: https://doi.org/10.1007/s40735-021-00531-6

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