TY - JOUR ID - TI - Physical and Mechanical Properties Estimation of Ti/HAP Functionally Graded Material Using Artificial Neural Network AU - Sura A. Muhsin AU - Rana A. Anaee AU - Jawad K. Oleiwi PY - 2016 VL - 34 IS - 12 Part (A) Engineering SP - 2174 EP - 2180 JO - Engineering and Technology Journal مجلة الهندسة والتكنولوجيا SN - 16816900 24120758 AB - This study presents the effort in applying neural network-based system identification techniques by using Back- propagation algorithm to predict somephysical mechanical properties of functionally graded and compositesamples from Ti/HAP, these samples were fabricated by powder metallurgy method at various volume fraction of hydroxyapatite and at n equal (0.8, 1, and 1.2). Because of important of advanced materials such as FGMs as alternative industrial material, it is necessary to measure the physical properties of these materials such as porosity, density, hardness, compression …etc. Therefore the ANN will be used to estimate these properties and give a good performance to the network.

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