Utilization of Gene Expression Programming for Modeling of Mechanical Performance of Titanium/Carbonated Hydroxyapatite Nanobiocomposites: The Combination of Artificial Intelligence and Material Science

Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
View: 283

This Paper With 8 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

این Paper در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_IJE-34-4_021

تاریخ نمایه سازی: 6 اردیبهشت 1400

Abstract:

Titanium carbonated hydroxyapatite (Ti/CHA) nanobiocomposites have extensive biological applications due to the excellent biocompatibility and similar characteristics to the bone. Ti/CHA nanobiocomposite has good biological properties but it suffer from diverse characteristics especially in the hardness, Young's modulus, apparent porosity and relative density. This investigation is an attempt to propose the predictive models using gene expression programming (GEP) for the estimation of these characteristics. In this regards, GEP is used to model and compare the effect of practical variables including compact pressure, Ti/CHA ratio and sintering temperature on their investigated properties. To achieve this goal, ۹۰ different reliable experiments were considered to create the GEP models. Selected data set were divided randomly into ۶۳ training sets and ۲۷ testing sets. Finally, ۵ of the best models reported for each different output. Sensitivity analyses are done to determine and rank the practical parameters on each investigated properties and revealed that wt.% Ti, wt.% CHA, Compaction pressure (MPa) and Temperature (ᵒC), respectively are the most effective parameters on hardness, Young's modulus, shear modulus, apparent porosity and relative density. By comparing the results, a very good agreement was observed between the experimentals and the results obtained from GEP model.

Authors

M.R. Shojaei

Department of Materials Science and Engineering, Sharif University of Technology, Tehran, Iran,

G.R. Khayati

Department of materials science and Engineering, Shahid Bahonar University of Kerman, Iran

A. Hasani

Department of Materials Science and Engineering, Sharif University of Technology, Tehran, Iran

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • processing", Ceramics International,  Vol. 46, No. 2, (2020), 2300-2308. https://doi.org/10.1016/j.ceramint.2019.09.219 ...
  • 9.     Kwon, K.-A., Juhasz, J.A., Brooks, R.A. and Best, S.M., ...
  • 10.   Youness, R.A., Taha, M.A., El-Kheshen, A.A. and Ibrahim, M., ...
  • 11.   Ahmed, M., Mansour, S., Al-Wafi, R., Afifi, M. and ...
  • 12.   Niespodziana, K., "Synthesis and properties of porous ti-20 wt.% ...
  • 13.   Theingi, M., Tun, K.T. and Aung, N.N., "Preparation, characterization ...
  • 14.   Gharibshahian, E., "The effect of polyvinyl alcohol concentration on ...
  • 15.   Gandomi, A.H., Alavi, A.H., Gandomi, M. and Kazemi, S., ...
  • 16.   Abdellahi, M., Najafinezhad, A., Ghayour, H., Saber-Samandari, S. and ...
  • 17.   Trang, G.T.T., Linh, N., Linh, N. and Kien, P., ...
  • 18.   Ebrahimi-Kahrizsangi, R., Abdellahi, M. and Bahmanpour, M., "Ignition time ...
  • 19.   Khayati, G.R., "A predictive model on size of silver ...
  • 20.   Ferreira, C., "Gene expression programming: A new adaptive algorithm ...
  • 21.   Sattari, R. and Khayati, G.R., "Prediction of the size ...
  • 22.   Ghayour, H., Abdellahi, M. and Bahmanpour, M., "Artificial intelligence ...
  • 23.   Abdellahi, M., Bahmanpour, H. and Bahmanpour, M., "The best ...
  • 24.   Sabouhi, R., Ghayour, H., Abdellahi, M. and Bahmanpour, M., ...
  • 25.   Ebrahimi-Kahrizsangi, R., Abdellahi, M. and Bahmanpour, M., "Self-ignited synthesis ...
  • 26.   Gholampour, A., Gandomi, A.H. and Ozbakkaloglu, T., "New formulations ...
  • 27.   Jafari, M.M. and Khayati, G.R., "Prediction of hydroxyapatite crystallite ...
  • 28.          Kök, M., Kanca, E. and Eyercioğlu, Ö., "Prediction of ...
  • نمایش کامل مراجع