DEVISE OF THE REUSE SYSTEM AND DEVELOPMENT OF NEURAL NETWORK MODEL FOR NICKEL - ELECTROPLATING PROCESS
In the Electroplating process, a low effective rinsing system has been considered as a large amount consumed chemicals and rinsing water. Therefore, an effective way to minimize wastewater is to design a wastewater reuse system such that the used water can be reused to a maximum extent in the same plant. In addition, the chemicals can be recycled chemicals without sacrificing product quality. Because of an optimization model based approach for designing a reuse system and development of neural network model for Nickel Electroplating process have been rarely studied. As a consequence, this work studies the dynamic behaviours of the Nickel electroplating process in the Electroplating plant to determine water and chemicals consumption and volume of drag out involved in the process for applying to design the optimal reuse system. To achieve these, mathematical models and Neural Network model of the process have been developed. With these models, simulation study has been carried out to find out the dynamic behaviours of the process with respect to the concentration of nickel in Nickel Electroplating process, rinse water volume, the amount of drag out etc.Then the problem has been formulated and solved by using MATLAB.
mathematical model neural network model optimization electroplating process reuse system
Teerapat Rattanasuwan Paisan Kittisupakorn
Control and Systems Engineering Research Laboratory Chemical Engineering Department, Chulalongkorn University, 254 Phyathai Road, Patumwan, Bangkok 10330, Thailand.
国际会议
The 12th Asian Pacific Confederation of Chemical Engineering Congress(第十二届亚太化工联盟大会暨化工展览会)
大连
英文
2008-08-04（万方平台首次上网日期，不代表论文的发表时间）