Fuzzy model and hierarchical fuzzy control integration: an approach for milling process optimization

Peres, Clodeinir Ronei; Haber, Rodolfo E.; Haber, Robert; Alique, A.; Ros, Salvador

doi:10.1016/s0166-3615(98)00136-5

Cited by 43 publications

(16 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fuzzy logic rules employ fuzzy set theory which is used to develop fuzzy rule based model. Generally construction of rule base is done by using two types of fuzzy logic rules such as Mamdani type or TSK type rules [19,20].…”

Section: Fuzzy Rule Based Modelingmentioning

confidence: 99%

Application of fuzzy logic for modeling surface roughness in turning CFRP composites using CBN tool

Rajasekaran

Palanikumar²,

Vinayagam

2011

Prod. Eng. Res. Devel.

View full text Add to dashboard Cite

In recent days, carbon fiber reinforced polymer (CFRP) composites play a vital role in various engineering and technological applications. They are replacing conventional materials due to their excellent properties. Tubes made of these materials are made up of either hand layup process or filament winding processes and are widely used in aircraft, automobile, sports industries, etc., The objective of this study is to examine the influence of machining parameters combination so as to obtain a good surface finish in turning of CFRP composite by cubic boron nitride (CBN) cutting tool and to predict the surface roughness values using fuzzy modeling. The results indicate that the fuzzy logic modeling technique can be effectively used for the prediction of surface roughness in machining of CFRP composites.

show abstract

Section: Fuzzy Rule Based Modelingmentioning

confidence: 99%

Application of fuzzy logic for modeling surface roughness in turning CFRP composites using CBN tool

Rajasekaran

Palanikumar²,

Vinayagam

2011

Prod. Eng. Res. Devel.

View full text Add to dashboard Cite

show abstract

“…20 A i , B i , C i , and D i are fuzzy subsets defined by the corresponding membership functions, i.e., A i , B i , C i , and D i .…”

Section: Rajasekaran Et Al 815mentioning

confidence: 99%

Experimental investigation and analysis in turning of CFRP composites

Rajasekaran

Palanikumar²,

Vinayagam

2011

Journal of Composite Materials

View full text Add to dashboard Cite

Carbon fiber-reinforced composite materials are finding increased application in many areas. Machining of these composites cannot be avoided to avail a near-net shape. The study and development of prediction model for cutting force, cutting power, and specific cutting force have been an important area for researchers. Interest toward this subject is increasing due to the factors which restricts from carrying out the experimental studies like the number of machining parameters to be controlled and time taken for machining to determine cutting forces. This study attempts to develop a fuzzy model to predict the cutting force thereby cutting power and specific cutting force. The developed models offer satisfactory performance on comparison with the experimental results and hence these models can be effectively used to predict cutting forces in machining of carbon fiber-reinforced plastic composites.

show abstract

“…In this respect, extensions of fuzzy theory have been recognized as the best tool for modelling a system with different levels of linguistic uncertainty. Fuzzy models, as being the extension of fuzzy theory, are the mathematical representation of the characteristics of the process, which uses the principles of fuzzy logic [2]. Nevertheless, the power of fuzzy sets (FSs) have been changing for different types of fuzzy models such as type-1, type-2 and higher types since they are intended to cope with varying levels of uncertainty.…”

Section: Introductionmentioning

confidence: 99%