Suzhou Submission Form

1.  The Invention

 

Title: Using Neural Network Modeling For Steel Carbonizing Process

The problem the inventor(s) wanted to solve:  The practical implications of the neural network models are the possibility of using them to build control system capable of on-line controlling running process and supporting engineering decision in real time.

Description. Authors present the using of neural networks model for designing carbonizing process in fluidized bed. This process is very complicated and difficult as multi-parameters changes are non-linear and car drive elements structure is non homogeneous. This fact and lack of mathematical algorithms describing this process makes modeling properties of drives elements by traditional numerical methods difficult or even impossible. In this case it is possible to try using artificial neural network.

 Presentation:  Poster

Fields of application: Authors present the using of neural networks model for designing carbonizing process in fluidized bed. This process is very complicated and difficult as multi-parameters changes are non-linear and car drive elements structure is non homogeneous.

Advantages: Mathematical algorithms describing this process makes modeling properties of drives elements by traditional numerical methods difficult or even impossible. In this case it is possible to try using artificial neural network.

Documentation available:

Yes

2.  The inventor (or inventors):

 

Name: Michal SZOTA, Jozef JASINSKI

Photo. None

Owner of the invention?

Czestochowa University of Technology

3.  Protection

 

Patent Status:

-
Priority :

4.  Business intention

 

Cooperation,

Selling the new product

5.  Contact:

 

Czestochowa University of Technology

Materials Engineering Institute

Address: Av. Armii Krajowej 19, 42-200 Czestochowa, Poland

Tel. +48 34 325 07 32, cell phone: +48 600 298 200  e-mail:  mszota@mim.pcz.czest.pl