Surface roughness prediction using a hybrid scheme of difference analysis and adaptive feedback weights.

ABSTRACT: This research has presented an optimum model for surface roughness prediction in a shop floor machining operation. The proposed solution is premised on difference analysis enhanced with a feedback control model capable of generating transient adaptive weights until a converging set point is attained. The surface roughness results utilized herein were adopted from two prior experiments in the literature. The design of experiment herein is premised on three cutting parameters in both experimental scenarios viz: feed rate, cutting speed and depth of cut for experimental dataset one and cutting speed, feed rate and flow rate for experimental dataset two. Three experimental levels were considered in both scenarios resulting in twenty-seven outcomes each. The simulation trial anchored on Matlab

SUBMITTER: Ayomoh MKO 

PROVIDER: S-EPMC8035492 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature