Controlling air temperature variations inside refrigeration cabines based on artificial neural network experiments

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Carlos C. António (Author) FEUP; Clito F. Afonso (Author) FEUP

Conference proceedings International

Title: Proceedings ICEM15 - 15th International Conference on Experimental Mechanics

ICEM15 - 15th International Conference on Experimental Mechanics

Porto, 22-27 July 2012

Indexing

ISI Proceedings

ISI Web of Knowledge - 0 Citations

Scientific classification

FOS: Engineering and technology

CORDIS: Technological sciences

Other information

Authenticus ID: P-005-K2F

Abstract (EN): One problem associated with the loss-efficiency in refrigerators/freezers is the air infiltration. Therefore, knowledge of the air temperature field inside of these units is limited and large air temperature gradients often exist that can put the stored products at risk. This work studies temperatures in a commercial household refrigerator that were monitored with thermocouples located at several points. The measured temperatures were then used to build an Artificial Neural Network with supervised learning performed using a Genetic Algorithm. The aim is to obtain knowledge of the air temperature fields inside the refrigerated unit detecting in this way the anomalous variations due to inefficient isolation parts.

Language: English

Type (Professor's evaluation): Scientific

Notes: Livro de resumos: Symp_22 pp.1169-1170 (invited paper); CD-ROM: paper ref 3755 com 6 páginas

No. of pages: 6