Manufacturing Commons^™

Predictive Models For Mechanistic Cutting Force Coefficients And Surface Roughness In Carbon Fiber Reinforced Polymers Milling With Tool Wear, Junbeom Son

Masters Theses

Machining carbon fiber composite materials poses significant challenges including rapid tool wear and decreased productivity. This research aims to address these challenges by developing a predictive model for surface roughness in carbon fiber composite milling operations using a cutting force-based approach.

This research applies a mechanistic cutting force model to force prediction in carbon fiber composite milling. Because tool wear can be significant in this application, the force model coefficients are defined as a function of the volume of material removed. This enables the cutting force growth with tool wear to be embedded within the model. Examples are provided for …