Regression analysis of hardness property of laser additive manufactured (LAM) Ti and TiB2metal matrix composite

V. I. Aladesanmi, O. S. Fatoba*, E. T. Akinlabi, O. M. Ikumapayi

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

Additive manufacturing has gained relevance in aerospace components for intricate lattice, cooling channels, complex internal structure, and lightweight strong structures. Additive manufacturing has aided cost saving by reducing part count in expensive materials. Titanium di boride is a hard ceramic with a good oxidation stability with resistance to mechanical wear. It is a hexagonal crystal structured with a non-lustrous grey appearance. It has expressed a high value of strength to density ratio, melting point, and wear resistance. A predictive correlation and relationship between the optimal parameters and the hardness was examined. The data analysis of their relationship was examined in statistical analysis. A predictive mathematical formula was derived, and a linear and quadratic polynomial regression machine learning details of the factors showed correlation.

Original languageEnglish
Pages (from-to)1249-1253
Number of pages5
JournalMaterials Today: Proceedings
Volume44
Issue numberPart 1
Early online date31 Dec 2020
DOIs
Publication statusPublished - 27 Apr 2021
Externally publishedYes
Event11th International Conference on Materials Processing and Characterization - Indore, India
Duration: 15 Dec 202017 Dec 2020

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