Design, Manufacturing and Analysis of Canine Patellar Luxation Preventing Implant and Surgical Instrument

• Main Authors: Chih-Chine Ke, 柯智虔
• Other Authors: 莊勝雄
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/64489858147292736117

碩士 === 國立中興大學 === 機械工程學系所 === 96 === Abstract The aim of this study focuses on the development, improvement and analysis of patellar luxation preventing implants for the treatment of dogs with patellar luxation. The contents include development and manufacturing of the implant, the design, analysis, and prototyping of surgical instrument, and manufacture of dog’s femur model. Technologies applied in this study include computer-aided engineering (CAE), computer-aided design (CAD), computer-aided manufacturing (CAM), reverse engineering (RE), and human factors technology. An appropriate surgical instrument for surgical operation and an implant production process which generates products successfully applied to dog’s clinical treatment are developed. The content is divided into three parts. The first part includes the development and design of implants and surgical instruments and production of prototypes. Then , the biomechanical experiments of implants are conducted. Finally, the statistical analysis from the results of biomechanic experiments is performed. For the implant biomechanic experiment, the analysis on the interface strength between implant and the femur bone occlusion is the focus. Press-in and pull-out experiments for the implants are performed on the sawbone. The performance due to the geometry variation of the implants is analyzed and discussed. The experimental results are defined as follows. (1) the average pull-out force with different angles does not show statistically significant difference. The implant loosening force will not be affected by angle changes. (2) the implant occlusion strength is subjected to change due to varying height, width and thickness. For the factors of Pearson correlation coefficient, height and width are twice as influential as the thickness. (3) A functional regression equation with three variables of implants is derived and the error with standard value of confirmation is in the 95% confidence interval. Inputing geometric dimensions of the implants into the regression equation, the pull-out and press-in strength can be obtained. This empirical quantitative formula is used to relate the geometric dimensions of the implants to the strength. (4) Using the research results, the implant designers or users can identify pull-out strength (the greater, the more successful of the implantation), and the press-in force (the smaller, the easier for surgery) using the control and predictive functions of the regression equation according to weight levels of dogs. After the pull-out and the press-in forces being calculated, the geometric dimensions of the implants can be obtained by reverse processing. After this, an appropriate implant experimental model and an analysis method for the design and use of the implant can be established. The resulting method can be applied to the clinical implantation for the treatment of the canine patellar luxation.