Experimental Analysis and Statistical Prediction of Tissue Temperature in High-Speed Cortical Bone Drilling Process.
Saved in:
| Title: | Experimental Analysis and Statistical Prediction of Tissue Temperature in High-Speed Cortical Bone Drilling Process. |
|---|---|
| Authors: | Safari, Mehdi1 m.safari@arakut.ac.ir, Tahmasbi, Vahid1 tahmasbi@arakut.ac.ir, Joudaki, Jalal1 joudaki@arakut.ac.ir, Zolfaghari, Mojtaba2 m-zolfaghari@araku.ac.ir |
| Source: | International Journal of Advanced Design & Manufacturing Technology. Summer2025, Vol. 18 Issue 2, p19-26. 8p. |
| Subjects: | Response surfaces (Statistics), Compact bone, Human body, Statistics, Prosthetics |
| Abstract: | The drilling process in surgery is used for joining the pins and prostheses to the human body. Proper drilling can improve the strength of the joint. In this article, the drilling of cortical bone is experimentally investigated at high-speed ranges. For this purpose, the effects of input process variables, including the rotational speed, feed rate, and drill diameter, on the maximum temperature of bone tissue are studied. The response surface methodology (RSM) method is employed for designing the experiments (15 experiments). The results show that the temperature of the tissue first decreases until it reaches a minimum value by increasing the rotational speed, and then the temperature of the tissue begins to increase with the further increase of the rotational speed. Also, the maximum value of tissue temperature was reduced by increasing the feed rate of the tool in the drilling process. In addition, with an increase in the drill diameter, the maximum temperature of the tissue is reduced. The temperature of the bone tissue is predicted using a regression equation as a function of process variables. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Advanced Design & Manufacturing Technology is the property of Islamic Azad University, Majlesi Branch and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 186320522 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Experimental Analysis and Statistical Prediction of Tissue Temperature in High-Speed Cortical Bone Drilling Process. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Safari%2C+Mehdi%22">Safari, Mehdi</searchLink><relatesTo>1</relatesTo><i> m.safari@arakut.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Tahmasbi%2C+Vahid%22">Tahmasbi, Vahid</searchLink><relatesTo>1</relatesTo><i> tahmasbi@arakut.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Joudaki%2C+Jalal%22">Joudaki, Jalal</searchLink><relatesTo>1</relatesTo><i> joudaki@arakut.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Zolfaghari%2C+Mojtaba%22">Zolfaghari, Mojtaba</searchLink><relatesTo>2</relatesTo><i> m-zolfaghari@araku.ac.ir</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Advanced+Design+%26+Manufacturing+Technology%22">International Journal of Advanced Design & Manufacturing Technology</searchLink>. Summer2025, Vol. 18 Issue 2, p19-26. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Response+surfaces+%28Statistics%29%22">Response surfaces (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Compact+bone%22">Compact bone</searchLink><br /><searchLink fieldCode="DE" term="%22Human+body%22">Human body</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Prosthetics%22">Prosthetics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The drilling process in surgery is used for joining the pins and prostheses to the human body. Proper drilling can improve the strength of the joint. In this article, the drilling of cortical bone is experimentally investigated at high-speed ranges. For this purpose, the effects of input process variables, including the rotational speed, feed rate, and drill diameter, on the maximum temperature of bone tissue are studied. The response surface methodology (RSM) method is employed for designing the experiments (15 experiments). The results show that the temperature of the tissue first decreases until it reaches a minimum value by increasing the rotational speed, and then the temperature of the tissue begins to increase with the further increase of the rotational speed. Also, the maximum value of tissue temperature was reduced by increasing the feed rate of the tool in the drilling process. In addition, with an increase in the drill diameter, the maximum temperature of the tissue is reduced. The temperature of the bone tissue is predicted using a regression equation as a function of process variables. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Advanced Design & Manufacturing Technology is the property of Islamic Azad University, Majlesi Branch and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=186320522 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.71644/admt.2025.1193264 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 19 Subjects: – SubjectFull: Response surfaces (Statistics) Type: general – SubjectFull: Compact bone Type: general – SubjectFull: Human body Type: general – SubjectFull: Statistics Type: general – SubjectFull: Prosthetics Type: general Titles: – TitleFull: Experimental Analysis and Statistical Prediction of Tissue Temperature in High-Speed Cortical Bone Drilling Process. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Safari, Mehdi – PersonEntity: Name: NameFull: Tahmasbi, Vahid – PersonEntity: Name: NameFull: Joudaki, Jalal – PersonEntity: Name: NameFull: Zolfaghari, Mojtaba IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Summer2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 22520406 Numbering: – Type: volume Value: 18 – Type: issue Value: 2 Titles: – TitleFull: International Journal of Advanced Design & Manufacturing Technology Type: main |
| ResultId | 1 |