Designing the floor heating system in a 3 dimensional room by using of neural network
سال
: 2010
چکیده: Since many parameters effect on the floor heating System
designs, so system Simulation and design by using of dominant
equation through numerical methods and achieving desirable
results needs much time and expense.
In this Study, the neural network used as the floor heating
system which we can use it as a new method to design a
quicker and Simpler floor heating system. For this purpose,
first, the model of System which was a 3 dimensional room
with different boundary Conditions Stimulated by Gambit &
Fluent Soft wares. Considering, the inner air of the room
incompressibility, boussinesq model, reformed model of k −ε,
radioactive model DO and simple algorithm, the stimulation of
fluid flow and temperature distribution performed. After
change of effective various parameters on the floor heating
system in the model (room) such as pipe depth, water
temperature, internal emissivity, air absorption Coefficient,
window sizes, object size(object was in room) , distance
between object and floor are used as educational data for neural
network. The neural network produced by two layers: hidden
layer, with 20 neural neurons and arbitrary function, outer
layer, with 1 neural neuron and liner Function, in the Matlab
software with 6 inputs and 1 output.
Comparing the achieved results with the Corresponding
results by numerical methods which done by the new data
showed that The difference between the results was very
insignificant So the neural network Can be used as a Simpler
and quicker design for floor heating system of rooms.
designs, so system Simulation and design by using of dominant
equation through numerical methods and achieving desirable
results needs much time and expense.
In this Study, the neural network used as the floor heating
system which we can use it as a new method to design a
quicker and Simpler floor heating system. For this purpose,
first, the model of System which was a 3 dimensional room
with different boundary Conditions Stimulated by Gambit &
Fluent Soft wares. Considering, the inner air of the room
incompressibility, boussinesq model, reformed model of k −ε,
radioactive model DO and simple algorithm, the stimulation of
fluid flow and temperature distribution performed. After
change of effective various parameters on the floor heating
system in the model (room) such as pipe depth, water
temperature, internal emissivity, air absorption Coefficient,
window sizes, object size(object was in room) , distance
between object and floor are used as educational data for neural
network. The neural network produced by two layers: hidden
layer, with 20 neural neurons and arbitrary function, outer
layer, with 1 neural neuron and liner Function, in the Matlab
software with 6 inputs and 1 output.
Comparing the achieved results with the Corresponding
results by numerical methods which done by the new data
showed that The difference between the results was very
insignificant So the neural network Can be used as a Simpler
and quicker design for floor heating system of rooms.
کلیدواژه(گان): floor heating system,3 dimensional,neural network
کالکشن
:
-
آمار بازدید
Designing the floor heating system in a 3 dimensional room by using of neural network
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| contributor author | E. Mehrabi-student | en |
| contributor author | S. Farahat | en |
| contributor author | حسین عجم | en |
| contributor author | Hossein Ajam | fa |
| date accessioned | 2020-06-06T14:05:26Z | |
| date available | 2020-06-06T14:05:26Z | |
| date copyright | 7/19/2010 | |
| date issued | 2010 | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/3381975 | |
| description abstract | Since many parameters effect on the floor heating System designs, so system Simulation and design by using of dominant equation through numerical methods and achieving desirable results needs much time and expense. In this Study, the neural network used as the floor heating system which we can use it as a new method to design a quicker and Simpler floor heating system. For this purpose, first, the model of System which was a 3 dimensional room with different boundary Conditions Stimulated by Gambit & Fluent Soft wares. Considering, the inner air of the room incompressibility, boussinesq model, reformed model of k −ε, radioactive model DO and simple algorithm, the stimulation of fluid flow and temperature distribution performed. After change of effective various parameters on the floor heating system in the model (room) such as pipe depth, water temperature, internal emissivity, air absorption Coefficient, window sizes, object size(object was in room) , distance between object and floor are used as educational data for neural network. The neural network produced by two layers: hidden layer, with 20 neural neurons and arbitrary function, outer layer, with 1 neural neuron and liner Function, in the Matlab software with 6 inputs and 1 output. Comparing the achieved results with the Corresponding results by numerical methods which done by the new data showed that The difference between the results was very insignificant So the neural network Can be used as a Simpler and quicker design for floor heating system of rooms. | en |
| language | English | |
| title | Designing the floor heating system in a 3 dimensional room by using of neural network | en |
| type | Conference Paper | |
| contenttype | External Fulltext | |
| subject keywords | floor heating system | en |
| subject keywords | 3 dimensional | en |
| subject keywords | neural network | en |
| identifier link | https://profdoc.um.ac.ir/paper-abstract-1027118.html | |
| conference title | 7th International Conference on Heat Transfer Fluid Mechanics and Thermodynamics (HEFAT2010) | en |
| conference location | آنتالیا | fa |
| identifier articleid | 1027118 |