Modified Fuzzy Logic System Based Predictive Model for Cortical Bone Drilling Temperature
Bone drilling is a widely used procedure in fracture treatments. During drilling, the temperature in the host site increases and leads to permanent thermal damage called osteonecrosis, which increases the healing time and weakens the implant stability. So, drilling with controlled temperature genera...
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Tsinghua University Press
2024-09-01
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| Series: | Fuzzy Information and Engineering |
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| Online Access: | https://www.sciopen.com/article/10.26599/FIE.2024.9270042 |
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| author | Varatharajan Prasannavenkadesan K. B. Badri Narayanan Subramanian Raja |
| author_facet | Varatharajan Prasannavenkadesan K. B. Badri Narayanan Subramanian Raja |
| author_sort | Varatharajan Prasannavenkadesan |
| collection | DOAJ |
| description | Bone drilling is a widely used procedure in fracture treatments. During drilling, the temperature in the host site increases and leads to permanent thermal damage called osteonecrosis, which increases the healing time and weakens the implant stability. So, drilling with controlled temperature generation is a major challenge for surgeons. The present work aims to predict the bone drilling temperature using interval type-2 fuzzy logic systems (IT2FLS) for the first time. The developed fuzzy model predicts the temperature by accounting the drill bit geometry and the drilling parameters. The developed triangular and trapezoidal IT2FLS predict the temperature within a maximum error of 7%. Also, a comparative study is reported between the type-1 and type-2 membership functions. The proposed system helps to simplify the temperature modelling in surgical drilling process. |
| format | Article |
| id | doaj-art-e50b068687c442e2866b122a247cb696 |
| institution | DOAJ |
| issn | 1616-8658 1616-8666 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Fuzzy Information and Engineering |
| spelling | doaj-art-e50b068687c442e2866b122a247cb6962025-08-20T02:48:47ZengTsinghua University PressFuzzy Information and Engineering1616-86581616-86662024-09-0116320721910.26599/FIE.2024.9270042Modified Fuzzy Logic System Based Predictive Model for Cortical Bone Drilling TemperatureVaratharajan Prasannavenkadesan0K. B. Badri Narayanan1Subramanian Raja2School of Mechanical and Aerospace Engineering, Queen’s University Belfast, Belfast BT7 1NN, UKDepartment of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai 601103, IndiaDepartment of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore 641008, IndiaBone drilling is a widely used procedure in fracture treatments. During drilling, the temperature in the host site increases and leads to permanent thermal damage called osteonecrosis, which increases the healing time and weakens the implant stability. So, drilling with controlled temperature generation is a major challenge for surgeons. The present work aims to predict the bone drilling temperature using interval type-2 fuzzy logic systems (IT2FLS) for the first time. The developed fuzzy model predicts the temperature by accounting the drill bit geometry and the drilling parameters. The developed triangular and trapezoidal IT2FLS predict the temperature within a maximum error of 7%. Also, a comparative study is reported between the type-1 and type-2 membership functions. The proposed system helps to simplify the temperature modelling in surgical drilling process.https://www.sciopen.com/article/10.26599/FIE.2024.9270042centre of sets type reductioninterval type-2 fuzzy logic systemfootprint of uncertaintytrapezoidal membership function |
| spellingShingle | Varatharajan Prasannavenkadesan K. B. Badri Narayanan Subramanian Raja Modified Fuzzy Logic System Based Predictive Model for Cortical Bone Drilling Temperature Fuzzy Information and Engineering centre of sets type reduction interval type-2 fuzzy logic system footprint of uncertainty trapezoidal membership function |
| title | Modified Fuzzy Logic System Based Predictive Model for Cortical Bone Drilling Temperature |
| title_full | Modified Fuzzy Logic System Based Predictive Model for Cortical Bone Drilling Temperature |
| title_fullStr | Modified Fuzzy Logic System Based Predictive Model for Cortical Bone Drilling Temperature |
| title_full_unstemmed | Modified Fuzzy Logic System Based Predictive Model for Cortical Bone Drilling Temperature |
| title_short | Modified Fuzzy Logic System Based Predictive Model for Cortical Bone Drilling Temperature |
| title_sort | modified fuzzy logic system based predictive model for cortical bone drilling temperature |
| topic | centre of sets type reduction interval type-2 fuzzy logic system footprint of uncertainty trapezoidal membership function |
| url | https://www.sciopen.com/article/10.26599/FIE.2024.9270042 |
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