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Process Parameter Dependent Machine Learning Model for Densification Prediction of Selective Laser Melted Al-50Si Alloy and its Validation

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Abstract

Additive manufacturing process is widely adopted for the development of near net shape components of complex geometries that are used in aerospace, automobiles, and medical industries. However, the variables like alloy types, process parameters, printing method, and printer types govern the defects formation, microstructure evolution, and mechanical properties of the component during service conditions. In this work, multiple machine learning models have been implemented to predict the densification of Al-50 Si alloy for the given input parameters. Three hundred and fifty samples have been printed by selective laser melting route for different power, scan speed, and hatch distance and their densification has been measured using Archimede’s principle. Random forest, decision tree, and neural network-based algorithms have been used to predict the densification. The decision tree model exhibited R2 value of 93.16% and outperformed the random forest model. Neural network model has predicted the densification with a minimum mean square error of 1.1994×10−04 for 500 iterations. The random forest model is implemented to identify the importance of process parameters on the densification and it is also observed that the scan speed is the most significant and hatch distance is the least significant parameter. The three models are experimentally validated and neural network-based model is able to predict densification with accuracy.

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Authors and Affiliations

  1. Mechanical Engineering Department, National Institute of Technology, Warangal, Telangana, India

    Kanaka Linga Raju & Shivraman Thapliyal

  2. MME, Vikram Sarabhai Space Centre (VSCC), Thiruvananthapuram, Kerala, India

    Steaphen Sigatapu, Anoop Kumar Shukla, Govind Bajargan & Bhanu Pant

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  1. Kanaka Linga Raju
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  2. Shivraman Thapliyal
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  3. Steaphen Sigatapu
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Correspondence to Shivraman Thapliyal.

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Raju, K.L., Thapliyal, S., Sigatapu, S. et al. Process Parameter Dependent Machine Learning Model for Densification Prediction of Selective Laser Melted Al-50Si Alloy and its Validation. J. of Materi Eng and Perform 31, 8451–8458 (2022). https://doi.org/10.1007/s11665-022-06831-3

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  • DOI: https://doi.org/10.1007/s11665-022-06831-3

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