Computation Approach in Steel Manufacturing Industries Through Artificial Neural Network

Current work aims to modify process variables for steel production by using an Artificial Neural Network (ANN) based architecture and an integrated optimization module. The concept was originally designed to be used throughout the creation of inorganic nanoparticles in laser ablation processors. It was originally conceived for adjusting the control of material manufacturing processes to achieve the desired outputs. Further research has resulted in more universal techniques that can be used in a wide variety of different manufacturing and treatment scenarios. Based on the knowledge of the experts and the built system, an example of optimization of process conditions in a coherent steel casting was provided. More progress has been made in modeling the whole production line of the steelworks to mold process. The frameworks were stages of growth results are presented in the framework used to conduct certain statistical surveys.