Interface optimization of dissimilar wire arc additive manufactured wall through ANN-TOPSIS conjugate algorithm

Author:

Paul Amrit Raj1,Bose S.2,Dhar A.R.2,Biswas S.3,Mukherjee Manidipto4ORCID,Manivannan R.1

Affiliation:

1. CMERI: Central Mechanical Engineering Research Institute CSIR

2. NIT-Durgapur: National Institute of Technology Durgapur

3. NIT Silchar: National Institute of Technology Silchar

4. Central Mechanical Engineering Research Institute CSIR

Abstract

Abstract The development of functionally graded structures (FGS) through the wire arc additive manufacturing (WAAM) technique is frequently associated with a number of interface-related issues that are mostly controlled by the input parameters. However, it is frequently noticed that the input-output correlation of FGS is quite complex, and a general statistic/stochastic optimisation technique is not very helpful in optimising the process objectives. Therefore, ANN-TOPSIS conjugate algorithm is proposed in this study to predict and optimise the Al-Ni and Ni-SS dissimilar interfaces. The proposed model shows more than 95% accurate prediction of interface characteristics along with <15% error between the validated and optimised responses. The metallurgical characterisation revealed the formation of AlNi intermetallic layer at the Al-Ni interface surrounded by Al3Ni at the Al side and AlNi3 at the Ni side closer to the interface. The SS-Ni interface mainly consist of FeNi3. The microhardness of the Al-Ni interface increases as the Al content of the Al-Ni IMC increases. The hardness of the Al-Ni interface is higher than that of the SS-Ni interface.

Publisher

Research Square Platform LLC

Reference31 articles.

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