Amirkabir University of Technology Amirkabir Journal of Mechanical Engineering 2008-6032 52 11 2019 10 03 Optimal Layout of a Typical Telecommunication Center with the Help of Computational Fluid Dynamics and Artificial Neural Networks Optimal Layout of a Typical Telecommunication Center with the Help of Computational Fluid Dynamics and Artificial Neural Networks 2969 2984 3616 10.22060/mej.2019.16405.6361 FA Hashem Vozouhi Phd student of Mechanical Engineering, University of Urmia, Urmia, Iran Iraj Mirzaee Professor, University of Urmia, Urmia, Iran Nader Pormahmod Hesar Professor, University of Urmia, Urmia, Iran Majid Abbasalizadeh Professor assistant, University of Urmia, Urmia, Iran Journal Article 2019 05 24 The present study investigates and simulates the status of cold air distribution in a microwave oven hall and proposes a new method to improve the room temperature. Initially, the present hall is simulated by computational fluid dynamics method and validated using empirical data measured by sensors used in rack output. A comparison of the simulation results and the available experimental data shows very good agreement between these data. Temperature measurement with error less than 1 degree indicates the correct choice of numerical solution method in the present study. In the computational fluid dynamics method, the effect of the arrangement of the racks was investigated by changing the arrangement. In the final step, using the computational fluid dynamics solution and neural network is proposed the best arrangement of racks. Based on the numerical simulation, the lowest and highest supply heat indexes are 0.456 and 0.631, respectively, and the lower the heat index, the higher the cooling efficiency. The average wall temperature of the racks has been used in optimization. The average temperature of the optimum alignment rack obtained from the neural network is 21.9°C which is 0.7°C lower than the best simulation. The present study investigates and simulates the status of cold air distribution in a microwave oven hall and proposes a new method to improve the room temperature. Initially, the present hall is simulated by computational fluid dynamics method and validated using empirical data measured by sensors used in rack output. A comparison of the simulation results and the available experimental data shows very good agreement between these data. Temperature measurement with error less than 1 degree indicates the correct choice of numerical solution method in the present study. In the computational fluid dynamics method, the effect of the arrangement of the racks was investigated by changing the arrangement. In the final step, using the computational fluid dynamics solution and neural network is proposed the best arrangement of racks. Based on the numerical simulation, the lowest and highest supply heat indexes are 0.456 and 0.631, respectively, and the lower the heat index, the higher the cooling efficiency. The average wall temperature of the racks has been used in optimization. The average temperature of the optimum alignment rack obtained from the neural network is 21.9°C which is 0.7°C lower than the best simulation. https://mej.aut.ac.ir/article_3616_78d69f40906679a976dc4d45cebffbe6.pdf