Manufacturing Technology Today

V. N. Gaitonde ¹, S. R. Karnik ², B. Siddeswarappa ³

Affiliations
1 Department of Industrial & Production Engineering, B V B College of Engineering & Technology, Hubli-580 031, IN
2 Department of Electrical & Electronics, B V B College of Engineering & Technology, Hubli - 580 031, IN
3 Department of Industrial & Production Engineering, UBDT College of Engineering, Davangere - 577 004, IN

Abstract

Formation of exit burr on part edges during drilling has several undesirable features on product quality and hence requires significant attention in the manufacturing research. Simultaneous minimization of burr height and burr thickness in drilling ofAISI 316L stainless steel v^ork pieces is formulated as a multi-response optimization. The approach of Taguchi design for multi-response optimization problem is based on utility concept, which employs weighting factors to signal to noise ratio of individual responses to obtain multi-response signal to noise ratio. The optimal drilling process parameters such as cutting speed, feed, point angle and lip clearance angle are determined using Analysis of Means. The Analysis of Variance indicates the contributions of various parameters in controlling the burr size. The experimental results confirmed the validity of the proposed methodology for minimization of burr size during drilling.

Full Text

     

V. N. Gaitonde ¹, S. R. Karnik ², B. T. Achyutha ³, B. Siddeswarappa ⁴

Affiliations
1 Department of Industrial & Production Engineering, B V B College of Engineering & Technology, Hubli 580 031, IN
2 Department of Electrical & Electronics, B V B College of Engineering & Technology, Hubli 580 031, IN
3 Department of Mechanical Engineering, G M Institute of Technology, Davangere 577 006, IN
4 Department of Industrial & Production, UBDT College of Engineering, Davangere 577 004, IN

Abstract

This paper describes the procedure of Genetic Algorithm (GA) optimization for reduction of burr geometry in drilling process, modeled using Response Surface Methodology (RSM). Since debarring processes are not yet well automated, it is essential to understand the mechanism of burr formation in drilling and affecting variables to control burr geometry at the production stage itself Second order mathematical models of burr geometry viz. burr height and burr thickness are developed using central composite rotatable design of experiments for drilling of EN8 work pieces. In this work, the effect of cutting speed, feed, drill diameter, point angle and clearance angle on burr height and thickness have been investigated. The RSM models are then employed with GA, which is a search algorithm based on the mechanics of natural selection and natural genetics, to minimize the burr geometry.

Full Text

     

V. N. Gaitonde ¹, C. B. Prakash ¹

Affiliations
1 Dept. of Industrial and Production Engg, B. V. B College of Engineering & Technology, Hubli - 580 031, IN

Abstract

The present paper highlights the features of development of the mathematical models for correlating the interactive and higher order influences of the various operating parameters on the burr size at the exit of the holes in drilling through Statistical Design of Experiments. Fractional factorial technique is used to conduct the experiments. The response factors, namely, burr height and burr thickness as affected by, cutting speed, feed rate, drill diameter, point angle and clearance angle have been investigated and analyzed. Analysis of Variance (ANOVA) was employed to check the adequacy of the models so developed and student’s t-test was employed to check the significance of each factor to arrive at the final form of the mathematical models. The models so developed are utilized to determine the values of response parameters for each given set of variables within the ranges selected.

Full Text