THE OPTIMIZATION OF DRILLER PARAMETERS FOR ORTHOPEDIC SURGERY APPLICATIONS USING MULTIOBJECTIVE GRAY RELATIONAL ANALYSIS AND RESPONSE SURFACE METHOD

Autor: ARIF GÖK, KADIR GÖK, MEHMET ALI ALKAN
Rok vydání: 2022
Předmět:
Zdroj: Journal of Mechanics in Medicine and Biology. 22
ISSN: 1793-6810
0219-5194
DOI: 10.1142/s021951942250021x
Popis: In bone-drilling operations, undesirable temperature rises are experienced due to high-contact friction. These increases in temperature can damage bone and soft tissues from time to time. When the temperature exceeds 47∘C, osteonecrosis occurs. This article presents a new method for both the selection of optimum drilling parameters and the mathematical temperature model ([Formula: see text]∘C). In this study, the optimum parameter values for bone-drilling operations were found using gray relational analysis, and a mathematical model was created based on the temperature parameters using the response surface method. The accuracy of the developed analytical model has been proven by ANOVA. As a result, it has been revealed that the value of spindle speed is the most effective factor in bone-drilling operations and that the developed analytical model and experimental measurements are in harmony.
Databáze: OpenAIRE