Mechanical Engineering / Makina Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/4129

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Institution Author: search.filters.institutionAuthor.Ayit, OrhanPublisher: search.filters.publisher.Springer

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  • Book Part
    Citation - WoS: 1
    Citation - Scopus: 2
    Viscoelastic Modeling of Human Nasal Tissues With a Mobile Measurement Device
    (Springer, 2019) Işıtman, Oğulcan; Ayit, Orhan; Vardarlı, Eren; Hanalioğlu, Şahin; Işıkay, İlkay; Berker, Mustafa; Dede, Mehmet İsmet Can
    Modeling the dynamic of tool-tissue interaction for the robotic minimally invasive surgeries is one of the main issues for designing appropriate robot controllers. A mobile measurement device is produced in order to model some nasal tissues of a human. This mobile device is a hand-held one which measures the applied moments and relative angular displacements about a fixed pivot point. The ex-vivo measurements are realized by surgeons on a relatively fresh human cadaver head. The tip of the nose and the nasal concha are the two tissues that are investigated. In this study, five different viscoelastic models are considered; Elastic, Kelvin- Voight, Kelvin-Boltzmann, Maxwell and Hunt-Crossley. The results are evaluated and cross-validated on each data set. Hunt-Crossley and Kelvin-Boltzmann models provided the minimum root-mean-square (RMS) error among the other models.
  • Conference Object
    The Effects of Admittance Term on Back-Drivability
    (Springer, 2018) Işıtman, Oğulcan; Ayit, Orhan; Dede, Mehmet İsmet Can
    In the design of kinesthetic haptic devices, there are mainly impedance type and admittance type device. In a customary scenario, the human operator back-drives the haptic device by holding and providing motion to the handle of the haptic device. If the type of transmission system does not allow passive back-drivability, then the back-drivability is satisfied by the use of an admittance controller. This type of a haptic device is said to have admittance structure. The selection of the admittance term in this controller plays a critical part in the task execution performance. Determination of this term is not trivial and the optimal parameters depend on not only the key performance criteria but also on the human operator. An experimental study is carried out in this work to determine the effect of the admittance term parameters on the performance of human operators in terms of the energy efficiency and the best accuracy. In this paper, the experimental set-up and the results of the experiments are presented and discussed.