A generic framework for modeling milling forces in structured anisotropic materials: Application to unidirectional and woven glass fiber-reinforced polymers

This paper presents a generic and systematic methodology for identifying coefficients of a mechanistic cutting force model for structured anisotropic materials, focusing on unidirectional and woven fiber-reinforced polymers (FRPs). The model predicts three-directional cutting forces using cutting and edge coefficients described by a second-order Fourier series. An identification procedure includes spindle speed correction, signal alignment, and revolution averaging. Coefficients are estimated from milling experiments at three feed-per-tooth values via gradient-based optimization. Validated on Glass FRPs, the model demonstrates accuracy within and beyond calibration conditions, enabling cutting forces prediction across structured anisotropic materials with minimal experimental effort and no structural information.

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Publication Details

Journal
CIRP journal of manufacturing science and technology
Published
2026-10-03
DOI
https://doi.org/10.1016/j.cirpj.2026.09.018
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
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article

A generic framework for modeling milling forces in structured anisotropic materials: Application to unidirectional and woven glass fiber-reinforced polymers

François Ducobu, Édouard Rivière-Lorphèvre, Valentin Dambly, Matthias Nutte et al.
CIRP journal of manufacturing science and technology
Advanced machining processes and optimization
article

A generic framework for modeling milling forces in structured anisotropic materials: Application to unidirectional and woven glass fiber-reinforced polymers

François Ducobu, Édouard Rivière-Lorphèvre, Valentin Dambly, Matthias Nutte, Julien Verheve
article en

Abstract

This paper presents a generic and systematic methodology for identifying coefficients of a mechanistic cutting force model for structured anisotropic materials, focusing on unidirectional and woven fiber-reinforced polymers (FRPs). The model predicts three-directional cutting forces using cutting and edge coefficients described by a second-order Fourier series. An identification procedure includes spindle speed correction, signal alignment, and revolution averaging. Coefficients are estimated from milling experiments at three feed-per-tooth values via gradient-based optimization. Validated on Glass FRPs, the model demonstrates accuracy within and beyond calibration conditions, enabling cutting forces prediction across structured anisotropic materials with minimal experimental effort and no structural information.

CIRP journal of manufacturing science and technologyVol. 71
University of Mons (BE), Ideko (Spain) (ES)
Openalex Percentile: Top 21%
Advanced machining processes and optimization
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