Process Modelling and Experimental Analysis of Optimal Specimen Selection in Organic CMCs

作     者：P.V.Rajesh Kanak Kalita Xiao-Zhi Gao 

作者机构：Faculty of Mechanical EngineeringSaranathan College of EngineeringTrichy620012India Department of Mechanical EngineeringVel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai600062India School of ComputingUniversity of Eastern FinlandKuopioFI-70211Finland 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第70卷第2期

页      面：2415-2433页

核心收录：

学科分类：0710[理学-生物学] 0831[工学-生物医学工程（可授工学、理学、医学学位）] 081702[工学-化学工艺] 1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 08[工学] 0817[工学-化学工程与技术] 0805[工学-材料科学与工程（可授工学、理学学位）] 0703[理学-化学] 

主　　题：Grafting implants ceramics composites prostheses powder metallurgy optimization 

摘      要：Bone grafting is a surgical restructuring procedure of replacing broken bones and reconstructing missing bone pieces so that complex bone fractures can be repaired to avoid any serious health risk as well as permanent bone ***,human bones tend to regenerate and heal completely from *** it needs a small scaffold to provide the necessary space to *** implants allow a broken bone to grow ***,non-corrosive metal alloys are used for fixing broken bones.A metal plate is fastened between two ends of broken bones to join ***,issues like high weight,high cost,low wear resistance,*** to the emergence of ceramics and ceramic-based composites in surgical *** trends indicate the usage of organic ceramics and their associated composites as biomimeticmaterials for prostheses and other biomedical *** research paper deals with the fabrication of one such type of ceramic matrix composite(CMC)specimen with sea sponge and cuttlebone using powder metallurgy process by varying composition of cuttlebone,the particle size of the ceramics and sintering temperature of green *** of thermo-mechanical properties and optimization of process parameters is carried out using the preferential selection index(PSI)*** results obtained from this technique are further validated usingMulti-Level General Factorial Design(MLGFD).