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Bildiri Tam Metin Bildiri Uluslararası 2016

Artificial intelligent models for thermodynamic properties of R152a and R134a refrigerants in automobile air conditioning systems

Ahmet Tahir Kalkisim, Kadir Bilen, Abdulsamet Hasiloglu

2016 Annual Connecticut Conference on Industrial Electronics, Technology and Automation, CT-IETA 2016 Connecticut · 14.10.2016–15.10.2016 · 14.10.2016
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Özet

With the increase in environmental awareness, the quest for alternative refrigerants for automobile air conditioning systemsis a necessity for the protection of the ozone layer and the prevention of global warming. Therefore, it is important that the refrigerant to be used as an alternative must be at least thermodynamically sufficient and within specified environmental limits. In this study, R152a refrigerant which is an alternative gas for R134a that's use in automobile air conditioning systems will be removed within a certain schedule has been examined thermodynamically. Artificial intelligent model was generated and compared by using data obtained from the examination. Through this model, system was tested with untrained data. The generated model has been very close to test data and successful in high precision.

Sürdürülebilir Kalkınma Amaçları

  • SKA 13: İklim Eylemi

Atıf için künye

Kalkisim, A. T., Bilen, K., & Hasiloglu, A. (2016). Artificial intelligent models for thermodynamic properties of R152a and R134a refrigerants in automobile air conditioning systems. 2016 Annual Connecticut Conference on Industrial Electronics, Technology and Automation, CT-IETA 2016, Connecticut. https://doi.org/10.1109/ct-ieta.2016.7868247

BibTeX
@inproceedings{kalkisim2016-191749,
  author = {Kalkisim, Ahmet Tahir and Bilen, Kadir and Hasiloglu, Abdulsamet},
  title = {Artificial intelligent models for thermodynamic properties of R152a and R134a refrigerants in automobile air conditioning systems},
  booktitle = {2016 Annual Connecticut Conference on Industrial Electronics, Technology and Automation, CT-IETA 2016},
  address = {Connecticut},
  year = {2016},
  doi = {10.1109/ct-ieta.2016.7868247},
  url = {https://akademik.atauni.edu.tr/yayinlar/191749-artificial-intelligent-models-for-thermodynamic-properties-of-r152a-and-r134a}
}