This station is in charge of turbine design optimization and simulations in virtual environment. The design and simulations are being carried out by using Computer Aided Design (CAD) and Computational Fluid Dynamics (CFD) programs. The turbine design is being optimized using an iterational method by analyzing the simulation results

Motor station focuses on the design and production of the motor responsible for driving the LVAD rotor. Firstly, the motor parameters are determined in RMxprt within Ansys Electronics. Afterwards, necessary geometric optimizations and finite element analysis are conducted in Maxwell 3D. Designed motor components are manufactured using Wire EDM, machining, and 3D printing technologies, after which they are assembled. Finally, the integration of the produced motor with the pump components is accomplished.

The Cardiovascular System Mock Circuit is an integrated test platform designed for comprehensive evaluation and optimization of Left Ventricle Assist Devices (LVADs). This innovative system combines the External Drive Mechanism (EDM) and a Mock Circulation Loop (MCL) to simulate and analyze the performance of cardiovascular devices. The Cardiovascular System Mock Circuit serves as a comprehensive tool to study and optimize LVAD characteristics before clinical trials in a laboratory setting that closely mimics physiological conditions.

Control Systems Design plays role in ensuring precise regulation and stability in the test setups designed in our laboratory. It involves linear and nonlinear control systems designs for pressure, volume, flow, and pump angular speed regulation using methods as PID, Lyapunov, and Integral Backstepping.

As PIV team our job is to visualize the flow on the inducer, rotor and diffuser of the LVAD experimentally and comparing it with numerical CFD design for validation by using particle image velocimetry. We are using Insight 4G software for processing the images and using Tecplot&Matlab for further visualization and analysis.

In the communication departmant, it is aimed to monitor the instantaneous information of the patient and LVAD by using a TCP/IP model. A website and mobile app are developed including interfaces for patient and doctor to allow both patient and doctor to monitor the data which are transferred from the sensors simultaneously. The doctor is informed via message or e-mail in the presence of an anormal data. Data of the sensors are stored for 15 days, which can be monitored on the interfaces.