Affiliations 

  • 1 Department of Materials Engineering College of Engineering, University of Diyala, Baquba, Diyala, Iraq. arshad_ald@yahoo.com
  • 2 Department of Mechanical & Manufacturing Engineering, Faculty of Engineering & the Built Environment, University Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia
  • 3 Department of Materials Engineering College of Engineering, University of Diyala, Baquba, Diyala, Iraq
Sci Rep, 2020 Jul 29;10(1):12676.
PMID: 32728209 DOI: 10.1038/s41598-020-69387-z

Abstract

In this paper, the acoustic impedance property has been employed to predict the ultimate tensile strength (UTS) and yield strength (YS) of pure metals and alloys. Novel algorithms were developed, depending on three experimentally measured parameters, and programmed in a MATLAB code. The measured parameters are longitudinal wave velocity of the metal, density, and crystal structure. 19-samples were considered in the study and divided into 3-groups according to their crystal structure; 7-FCC, 6-BCC, and 6-HCB. X-ray diffraction was used to examine the crystal structure of each sample of each group, while longitudinal wave velocity and metals' density were measured experimentally. A comparison between mechanical properties predicted by the model and the ASTM standards was done to investigate the validity of the model. Furthermore, predicted stress-strain curves were compared with corresponding curves in the pieces literature as an additional validation check. The results revealed the excellence of the model with 85-99% prediction accuracy. The study also proved that if metals are grouped according to their crystal structure, a relation between UTS, YS, and modulus of elasticity (E) properties and wave pressure transmission coefficient (Tr) could be formulated.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.