Title

Exploring the role of computer modelling and image analysis in assessing drill design features and performance

Document Type

Journal Article

Publisher

Siovenska akademia vied

Faculty

Regional Professional Studies

School

Regional Professional Studies

RAS ID

5060

Comments

This article was originally published as: Audy, J. (2006). Exploring the role of computer modelling and image analysis in assessing drill design features and performance. Strojnicky Casopis (Journal of Mechanical Engineering), 57(6), 322-338.

Abstract

Present study was set up to explore the role and efficiency of computer modeling and image analysis in assessing design features with respect to predicted performance measures of a general type twist drill and a point modified-web profile ground-drill. Computer assisted modeling and predictive approaches involved analysis of rake angle distributions along the lip and chisel edge regions for both drill designs followed by study of the effects of individual drill geometrical features on drilling forces and power. The results demonstrated that the computer assisted modeling and predictions were successful in predicting and comparing the performance trends for different design features of the experimental drills examined in this study. The predictive model for web profile ground drills showed that the normal rake angles along the lip were more positive and therefore more favorable than those for the corresponding general purpose twist drills. Similarly point thinning of the web profile ground drill design seemed to be superior in terms of less negative rake angle distribution along the chisel edge to that of the general purpose twist drill. The web profile ground drill design was found to reduce the thrust and torque values, respectively, by about 13 % and 15 % 'on average', compared to the corresponding values for the general purpose twist drill design. In addition, it was also possible to establish comprehensive 'empirical type' thrust and torque equations using multivariable regression analysis to curve fit the predicted thrust and torque data from the computer simulation studies.

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