Visualization of the performance of a cooling set

Visuals simplify complex data, helping the human brain understand and interpret information faster. This makes learning permanent. Many applications have been made regarding visualization to date. Data visualization, which started with drawings on caves and rocks in the early days, can now be done much more easily with information technologies that allow the creation of visuals such as tables, graphs, charts and maps. It is possible to work on complex data sets, analyze data sets and create graphs with information technology tools. In this thesis study, the saturation pressure, saturation temperature, saturated liquid and vapor enthalpies and temperature, pressure and enthalpy values for the superheated vapor phase state of R134a refrigerant (coolant) were obtained with the data obtained from the EES program. The obtained data was stored in Excel and a data set for R134a refrigerant was created using statistical analysis methods. Using this data set, a P-h diagram was drawn for R134a on the computer. The data set of R134a fluid was transferred to the Python program, regression studies were performed and a training model was created with the machine learning method. With the Arduino infrastructure, the data from the DS18B20 temperature sensors were transferred to Python. The temperature data and the pressure values from the Tkinter interface were processed on the formula in the trained model, the enthalpy values were calculated, the measured values were instantly marked as points on the P-h diagram and these points were connected. Functions such as being able to run the data once, update it every ten seconds, stop the updated data and take a screen shot were created in Tkinter. The real-time measurement and visualization software obtained from this thesis study can be used by integrating it into the experimental sets. With the developed software, it is aimed for the students using the cooling experimental sets to understand the subjects faster with the visualized experimental results and to strengthen their interpretation skills.