Optimization of functional performance of additively manufactured cobalt-chromium-molybdenum alloy for dental implant applications

被引:2
|
作者
Nyakundi, A. M. [1 ]
Maina, M. R. [1 ]
Prasad, R. V. S. [2 ,4 ,5 ]
Olakanmi, E. O. [3 ,4 ,5 ]
Pityana, Sisa [6 ]
机构
[1] Jomo Kenyatta Univ Agr & Technol, Dept Mechatron Engn, Juja, Kenya
[2] Botswana Int Univ Sci & Technol, Dept Chem Mat & Met Engn, Palapye, Botswana
[3] Botswana Int Univ Sci & Technol, Dept Mech Energy & Ind Engn, Palapye, Botswana
[4] Botswana Int Univ Sci & Technol, Adv Mfg & Engn Educ AMEE Res Grp, Palapye, Botswana
[5] Botswana Int Univ Sci & Technol, UNESCO Chair Sustainable Mfg & Innovat Technol UCo, Palapye, Botswana
[6] CSIR, Natl Laser Ctr, Pretoria, South Africa
关键词
Laser engineered net shaping; Mechanical properties; Response surface methodology; Microstructure; Cobalt-chromium-molybdenum alloy; Dental implants; RESPONSE-SURFACE METHODOLOGY; PROCESSING PARAMETERS; MECHANICAL-PROPERTIES; SCANNING SPEED; HEAT-TREATMENT; LASER; STRENGTH; MICROSTRUCTURE; DEPOSITION; ROUGHNESS;
D O I
10.1016/j.jmapro.2024.05.005
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Improper selection of Laser Engineered Net Shaping (LENS) process parameters for the fabrication of cobalt-chromium-molybdenum (CoCrMo) alloy may result in poor quality components for dental implant applications. To solve the LENS fabrication challenge, this work utilizes response surface methodology (RSM) to investigate the influence of LENS deposition variables on the microstructural and mechanical performance of the manufactured samples for dental implant applications. Analysis of statistical data demonstrated that microhardness and porosity were both significantly influenced by laser scan speed and powder feed rate, while surface roughness is impacted substantially by laser scan speed and laser power. The analysis of the responses revealed that the optimum factors were at a scan speed of 5.3 mms(-1), powder feed rate of 4.748 gmin(-1) and laser power of 386.896 W to give surface roughness, porosity, and microhardness responses of 8.7775 mu m, 0.06 %, and 387.4286 HV, respectively. The models revealed a strong interaction between the actual experimental data and RSM-predicted responses. The results of this research can serve as a guide for determining suitable LENS input factors for the manufacture of dental implants.
引用
收藏
页码:1087 / 1103
页数:17
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