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TITLE : ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS) MODELING OF THRUST FORCE IN DRILLING PARTICLE BOARD (PB) COMPOSITES  
AUTHORS : LILLY MERCY J.      PRAKASH S.            
DOI : http://dx.doi.org/10.18000/ijodam.70110  
ABSTRACT :

ABSTRACT

Delamination is a significant problem, associated in drilling particle board,which reduces the structural integrity of the material, results in poor assembly tolerance and long term performance deterioration. the key in solving this problem lies in reducing thrust force during drilling.A fuzzy rule based model is developed with and without sub clusterring by varying the input parameters spindle speed, feed rate and drill diameter to predict thrust force in drilling particle board.the experiments were planned as per L22 taguchi orthogonal array for these three parameters in three levels fuzzy rules were written based on the experimental values and were defuzzified by the adaptive neuro fuzzy inference system (ANFIS) is MATLAB. the effect of spindle speed feed rate and drill diameter on trust force and their interaction effects are studied.

KEYWORDS; PARTICLE BOARD,DRILLING,COMPOSITES,ANFIS THRUST FORCE,MODELING,TAGUCHI DESIGN OF EXPERIMENTS.

 

 
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