Design and analysis of hybrid composites using adaptive neuro fuzzy inference system

Content Provider	Scilit
Author	Kavitha, I. C.
Copyright Year	2021
Description	Journal: Iop Conference Series: Materials Science and Engineering This article shows an adaptive neuro-fuzzy inference system (ANFIS) model that can predict the cyclic response under a mixture of different parameters. The ANFIS model used for prediction can accurately predict the cyclic reaction of blends with different parameters. It is used for evaluation to predict and analyze the relationship between independent machining variables cutting speed, feed rate, depth of cut and machinability cutting force, cutting power, specific cutting pressure standards. In this evaluation of PEEK CF 30 processed with TiN-coated cutting tools, experiments were conducted and the results obtained were used to apply the ANFIS method to prediction. The primary motive on this research is the affect regarding it factors of cutting force, cutting power and specific cutting pressure.
Related Links	https://iopscience.iop.org/article/10.1088/1757-899X/1126/1/012055/pdf
ISSN	17578981
e-ISSN	1757899X
DOI	10.1088/1757-899x/1126/1/012055
Journal	Iop Conference Series: Materials Science and Engineering
Issue Number	1
Volume Number	1126
Language	English
Publisher	IOP Publishing
Publisher Date	2021-03-01
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Materials Science and Engineering Automotive Engineering Inference System
Content Type	Text
Resource Type	Article