Comprehensive Analysis of Ball End Mill Geometrical Modification with Statistical Validation
This work presents a comprehensive analysis of ball-end mill geometrical modification, with emphasis on surface quality and stability of the machining process. The study combines predictive modeling, analytical simulations, and experimental validation to evaluate the influence of cutting tool radius and process parameters on surface roughness. A composite factorial design of experiments was implemented to systematically investigate radius, stepover height, and inclination angle. Surface roughness was measured using a contact stylus profilometer, with secondary validation of selected samples by three-dimensional (3D) optical microscopy, ensuring robust verification of experimental outcomes. In addition, a two-dimensional (2D) computer-aided design (CAD)-based simulation model was developed to reconstruct toolpath overlaps and calculate roughness parameters for comparison. The predictive models were statistically compared with experimental and simulation results, showing consistent trends, while also highlighting deviations possibly due to process dynamics and cutting tool stability. Results indicate that ball-end mills with smaller radii demonstrate higher sensitivity to chatter and surface instability, while larger radii improve consistency as well as achievable roughness values. The combined methodology provides both practical and theoretical insights into optimizing cutting tool geometry for precision milling. The findings are relevant for cutting tool designers and manufacturing engineers seeking to balance productivity, cost, and surface integrity in finishing operations.
Authors
- Ivan Buranský (ORCID: https://orcid.org/0000-0002-7600-9007)
- Janette Kotianová (ORCID: https://orcid.org/0000-0003-2105-3155)
- Rudolf Zaujec
- Nicolas Paulovič
Institutions
- Slovak University of Technology in Bratislava (SK)
- University of Trnava (SK)
- Scientific Research Institute of the Cable Industry (RU)
Publication Details
- Journal
- Journal of Manufacturing and Materials Processing
- Published
- 2025-12-26
- DOI
- https://doi.org/10.3390/jmmp10010007
- Primary Topic
- Advanced machining processes and optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00