A Statistical model for prediction of tool wear and cutting force during high speed trimming of Carbon fibre reinforced polymers (original) (raw)

Abstract

ABSTRACT The combination of low thermal conductivity and highly abrasive nature of Carbon Fibre Reinforced Polymers (CFRPs) leads to rapid tool wear and numerous machining problems. This paper presents the development of tool wear and cutting force prediction models in the high speed trimming of CFRPs. A 3/8 inch diameter CVD diamond-coated carbide tool with six straight flutes was used to trim 24-ply carbon fibre laminates. Cutting speeds ranging from 200 m/min to 400 m/min and feed rates ranging from 1524 mm/min to 4064 mm/min were used in the experiments. Exponential models were adjusted to predict tool wear and cutting force for different values of cutting speed, feed and cutting length. The ANOVA approach was used to test the overall significance of the models by applying F-tests. The results obtained show that the exponential model is capable of accurately predicting the cutting force and tool wear under the conditions studied.

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