Seiler, Daniel

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Seiler
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Daniel
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Seiler, Daniel

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2022 - 20232
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Anfangsdatum: 2021 × Thema: Additive manufacturing ×

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  • Vorschaubild
    Publikation
    Three-dimensional printed hydroxyapatite bone substitutes designed by a novel periodic minimal surface algorithm are highly osteoconductive
    (Liebert, 2023) Maevskaia, Ekaterina; Khera, Nupur; Ghayor, Chafik; Bhattacharya, Indranil; Guerrero, Julien; Nicholls, Flora; Waldvogel, Christian; Bärtschi, Ralph; Fritschi, Lea; Salamon, Dániel; Özcan, Mutlu; Malgaroli, Patrick; Seiler, Daniel; de Wild, Michael; Weber, Franz E. [in: 3D Printing and Additive Manufacturing]
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    Topology-optimized patient-specific osteosynthesis plates
    (De Gruyter, 02.09.2022) Maintz, Michaela; Seiler, Daniel; Thieringer, Florian M.; de Wild, Michael [in: Current Directions in Biomedical Engineering]
    Patient-specific osteosynthesis plates can be used to reduce complications related to bone fracture treatment, such as infection, malocclusion and fatigue fractures of plates and screws. However, the implant design process is tedious. We propose a semi-automatic workflow to computationally design patient-specific titanium osteosynthesis plates for mandibular angle fractures. In this process, the plate stiffness is maximized while the mass is reduced. Two plate designs with different numbers of screw holes (implant #1 with four holes, implant #2 with eight holes) were generated with identical topology optimization settings and compared in a finite element model simulating various biomechanical masticatory loads. Differences in von Mises stresses in the implants and screws were observed. The load case of clenching the jaw on the opposite side of the fracture showed the highest stress distribution in implant #1 and higher peak stresses in implant #2. Stress concentrations were observed in sharp corners of the implant and could be reduced using local stress-based topology optimization. We conclude that the design process is an effective method to generate patientspecific implants.
    01A - Beitrag in wissenschaftlicher Zeitschrift