Application of FPA and ANOVA in the optimization of liquid flow control process
Pijush Dutta, Sudip Mandal, Asok Kumar · Review of Computer Engineering Studies · 2019
In process industry liquid flowrate is one of the important variable which need to be controlled in a process to obtain the better quality and reduce the cost of production.As the liquid Flow rate in a process industry depends upon a number of parameter so the process will give the unexpected output as it is caused by the improper setting of parameters.The improper parameter settings could threaten the processes.In this paper, we utilize the Flower Pollination Algorithm (FPA) methods and ANOVA to obtain the optimum conditions of a flowrate in a process industry and to gain the percentage of contributions of each parameter by.A verification test was carried out to inspect the optimum output among the ANOVA & FPA.For generating the objective function 120 sets of data is used in ANOVA while 18 sets of data are used for the verification purpose.