Microstructure-Level Force Prediction Model for Micro-Milling of Multi-Phase Materials
By M. Vogler, Richard E. DeVor, Shiv G. Kapoor. Manufacturing Engineer, 2001
210 citations recorded by the source corpus.
A mechanistic model for the micro-endmilling process is developed that explicitly accounts for the different phases in heterogeneous materials. It is shown that frequencies in the cutting force signal higher than those that can be explained by the kinematics of the process can be explained by considering the multiple phases in the material. Experiments are performed on ductile iron workpieces and pure ferrite and pearlite workpieces that show that the nature of the variation in the ductile iron cutting force signals can be attributed to the mixture of the phases. Specifically, simulation studies show that the frequency component of the variation is related to the spacing of the secondary (ferrite) phase and the magnitude of this component is determined by the size of the secondary phase particles.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/3ba9a6faf5b327c9291750e94d8e4f4919f10c07
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In Biomedical Engineering
In Electrical and Electronic Engineering
In Mechanical Engineering
Citations in the corpus
- An experimental investigation of micro-machinability of copper 101 using tungsten carbide micro-endmills (2007, background): “Based on the literature, the minimum chip thickness could be as large as 38% of the edge radius [14,39].”
- Modelling and analysis of micro scale milling considering size effect, micro cutter edge radius and minimum chip thickness (2008, background): “For example, Vogler [4] estimated the minimum chip thickness to edge radius ratios of pearlite and ferrite to be 0.”