Mechanical Engineering / Makina Mühendisliği

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

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Department: search.filters.department.İzmir Institute of TechnologyHas files: No

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  • Article
    Citation - WoS: 2
    Citation - Scopus: 3
    Design and Manufacturing of a Hip Joint Motion Simulator With a Novel Modular Design Approach
    (Springer, 2024) Torabnia, S.; Mihçin, D.Ş.; Lazoglu, I.
    The study is aimed to develop a hip joint wear simulator using a modular design approach to help experimentally monitor and control critical wear parameters to validate in-silico wear models. The proper control and application of wear parameters such as the range of motion, and the applied force values while estimating the lost material due to wear are essential for thorough analysis of wear phenomena for artificial joints. The simulator's dynamics were first modeled, then dynamic loading data was used to calculate the forces, which were further used for topology optimization to reduce the forces acting on each joint. The reduction of the link weights, connected to the actuators, intends to improve the quality of motion transferred to the femoral head. The modular design approach enables topology-optimized geometry, associated gravitational and dynamic forces, resulting in a cost-effective, energy-efficient product. Moreover, this design allows integration of the subject specific data by allowing different boundary conditions following the requirements of industry 5.0. Overall, the in-vitro motion stimulations of the hip-joint prosthesis and the modular design approach used in the study might help improve the accuracy and the effectiveness of wear simulations, which could lead into the development of better and longer-lasting joint prostheses for all. The subject-specific and society-based daily life data implemented as boundary conditions enable inclusion of the personalized effects. Next, with the results of the simulator, CEN Workshop Agreement (CWA) application is intended to cover the personalized effects for previously excluded populations, providing solution to inclusive design for all. © 2023, The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 1
    Modeling a Magneto-Rheological Fluid-Based Brake Via a Neural Network Method
    (Springer international Publishing Ag, 2022) Kucukoglu, Sefa Furkan; Dede, Mehmet Ismet Can; Ceccarelli, Marco
    Identifying the model of a magneto-rheological (MR) fluid-based brake is extremely important for designing and controlling a haptic device with hybrid actuation. Therefore, in this study, an Elman Recurrent Neural Network (ERNN) is designed to understand and model a characterization of an MR fluid-based rotational brake. Three important factors that affect the MR brake's performance are chosen as inputs: current, speed, and the first derivative of the input current. The proposed network is trained, and the performance of the network is tested with three different experimental scenarios. Then, the effect of these inputs on the system is investigated. According to the results, it can be said that the designed ERNN is a good candidate for modelling an MR brake.
  • Conference Object
    Citation - Scopus: 1
    Kinematic Representation of a Biomimetic Squid Soft Robot's Arms in a Simulation Environment
    (Springer international Publishing Ag, 2022) Emet, Hazal; Dede, M. I. Can
    Biomimetic robot systems have received attention from researchers and in accordance the implementation of soft robotic arms has been studied. Kinematic and dynamic modeling of robots with infinite degrees of freedom is challenging and a number of methods have been proposed. In this work, a procedure is proposed to represent soft robot arm motion in a simulation environment. A biomimetic squid robot is used as a case study. This robot's soft arms are modeled by using the Piecewise Constant Curvature approach. This model is visualized by discretizing the soft arms into a finite number of rigid-body manipulators in MatLab using its 3D animation toolbox.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 2
    A New Correction Coefficient Formula for the Simplified Dynamic Model of a Surgical Robot
    (Springer international Publishing Ag, 2021) Ayit, Orhan; Dede, Mehmet Ismet Can
    Execution of model-based control algorithms such as computed torque technique requires the knowledge of the dynamic model of the robotic system. In our work, the active part of the surgical robot, NeuRoboScope, has a parallel kinematics architecture and the dynamic model is relatively complicated to run in a microprocessor with limited computing capabilities. For this reason, we formulated a simplified dynamic model to run in the selected microprocessor. In this work, a new formula for calculating the correction coefficients is described to minimize the errors in the whole orientation range of the robot's base platform. This new formula is examined in terms of execution time and the result is reported in this paper.