A FEA-Based Methodology to Predict the Osteotome Wear Status during Nasal Bone Surgical Operations
1
Laboratory for Machine Tools and Manufacturing Engineering, Mechanical Engineering Department, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
2
Physical Metallurgy Laboratory (PML), Mechanical Engineering Department, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
3
Ear-Nose-Throat Medicine- Plastic Operations, Parkklinik Weißensee, 13086 Berlin, Germany
*
Author to whom correspondence should be addressed.
Coatings 2019, 9(12), 855; https://doi.org/10.3390/coatings9120855
Received: 8 November 2019 / Revised: 7 December 2019 / Accepted: 11 December 2019 / Published: 13 December 2019
(This article belongs to the Section Surface Characterization, Deposition and Modification)
A FEA-based methodology was developed in order to predict the wear status of an osteotome (surgical instrument) during its use in a lateral nasal bone osteotomy considering its fatigue strength. The latter parameter was determined by appropriate FEM-evaluation of the perpendicular impact test results. For the simulation of the surgical procedure, two scenarios were examined: (i) when utilizing a brand new osteotome and (ii) when utilizing an already used osteotome characterized by decreased fatigue strength. The actual nasal bone geometry used in the FEA model was obtained from a high-resolution, maxillofacial, computed tomography (CT) scan of a single patient. In both cases examined, depiction of fracture patterns for the osteotome and the nasal bone were obtained. The wear of a new osteotome and an already used osteotome was also calculated and compared. The developed von Mises stresses in both the osteotome and nasal bone were depicted. The proposed methodology allowed an accurate prediction of the critical number of impacts that the osteotome can receive during the lateral nasal osteotomy which is followed in all rhinoplasties. Based on the developed methodology, a preventive replacement of the osteotome before its extensive fracture can be determined, thereby minimizing the risk of postoperative complications.
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Keywords:
nasal bone; FEA-modelling; osteotome; fatigue; wear
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MDPI and ACS Style
Skordaris, G.; Stergioudi, F.; Boumpakis, A.; Stergioudi, D.; Behrbohm, H. A FEA-Based Methodology to Predict the Osteotome Wear Status during Nasal Bone Surgical Operations. Coatings 2019, 9, 855.
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