Preparing diopside nanoparticle scaffolds via space holder method: Simulation of the compressive strength and porosity

被引:47
作者
Abdellahi, Majid [1 ]
Najafinezhad, Aliakbar [1 ]
Ghayour, Hamid [1 ]
Saber-Samandari, Saeed [2 ]
Khandan, Amirsalar [3 ]
机构
[1] Islamic Azad Univ, Najafabad Branch, Dept Mat Engn, Adv Mat Res Ctr, Najafabad, Iran
[2] Amirkabir Univ Technol, New Technol Res Ctr, Tehran, Iran
[3] Islamic Azad Univ, Khomeinishahr Branch, Young Researchers & Elite Club, Esfahan, Iran
关键词
Diopside; Scaffold; Space holder; Compressive strength; Porosity; IN-VITRO BIOACTIVITY; POROUS HYDROXYAPATITE; MECHANICAL-PROPERTIES; AKERMANITE SCAFFOLDS; TRICALCIUM PHOSPHATE; CERAMIC SCAFFOLDS; PORE-SIZE; BONE; FABRICATION; GLASS;
D O I
10.1016/j.jmbbm.2017.05.004
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In the present study, diopside nanopowders were prepared via mechanical milling with eggshell as the calcium source. The space holder method (compaction of ceramic powder and spacer) as one of the most important methods to produce ceramic/metal scaffolds was used to produce diopside scaffolds. For the first time, the effect of the spacer size on mechanical properties and porosity of the obtained scaffolds was experimentally discussed. According to the results obtained, the NaCl particles (as the spacer) with the size of 400-600 pm maintained their original spherical shape during the compaction and sintering processes. As a new work, the most important parameters including the spacer type, spacer concentration, spacer size, and applied pressure were considered, and their effects on mechanical properties and porosity of diopside scaffolds were simulated. Gene Expression Programming (GEP), as one of the most branches of the artificial intelligence, was used for simulation process. By using the GEP, two equations were introduced to predict the compressive strength and porosity of the obtained scaffolds with the lowest error values. The 3D diagrams extracted from the model were used to evaluate the combined effect of the process parameters on the compressive strength and porosity of the scaffolds. The GEP model presented in this work has a very low level of error and a high level of the squared regression for predicting the compressive strength and porosity of diopside scaffolds.
引用
收藏
页码:171 / 181
页数:11
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