An Analytical Model for the Prediction of Chip Evacuation Force in Micro-Drilling

Abstract Chip evacuation is a critical aspect of the micro-drilling process, as the confined nature of the chips between the hole wall and flute can lead to clogging, increased thrust and torque, tool wear, and potential failure. This paper presents a physics-based analytical model for predicting chip evacuation force using principles of granular chip particle kinetics and energy transfer. The model incorporates material properties, tool geometry, and cutting conditions, while also accounting for the adhesion and drag effects due to scaling of drilling process geometry. Validation through micro-drilling experiments on hardened steel demonstrates strong agreement between predicted and measured chip evacuation forces. The model offers a generalized approach applicable to various work materials eliminating the need for costly calibration experiments.

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Publication Details

Journal
Journal of Micro and Nano-Manufacturing
Published
2026-06-18
DOI
https://doi.org/10.1115/1.4072160
Primary Topic
Advanced machining processes and optimization
Type
article
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article

An Analytical Model for the Prediction of Chip Evacuation Force in Micro-Drilling

Shiv G. Kapoor, Chi-Ting Lee
Journal of Micro and Nano-Manufacturing
Advanced machining processes and optimization
article

An Analytical Model for the Prediction of Chip Evacuation Force in Micro-Drilling

Shiv G. Kapoor, Chi-Ting Lee
article en

Abstract

Abstract Chip evacuation is a critical aspect of the micro-drilling process, as the confined nature of the chips between the hole wall and flute can lead to clogging, increased thrust and torque, tool wear, and potential failure. This paper presents a physics-based analytical model for predicting chip evacuation force using principles of granular chip particle kinetics and energy transfer. The model incorporates material properties, tool geometry, and cutting conditions, while also accounting for the adhesion and drag effects due to scaling of drilling process geometry. Validation through micro-drilling experiments on hardened steel demonstrates strong agreement between predicted and measured chip evacuation forces. The model offers a generalized approach applicable to various work materials eliminating the need for costly calibration experiments.

Journal of Micro and Nano-Manufacturing
University of Illinois Urbana-Champaign (US)
Affordable and clean energy
Openalex Percentile: Top 11%
Advanced machining processes and optimization
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