Cutting Tool Wear Prediction with Taylor’s Equation in Aspen Wood Longitudinal Milling

Abele, Andis (2024) Cutting Tool Wear Prediction with Taylor’s Equation in Aspen Wood Longitudinal Milling. In: Science and Technology: Recent Updates and Future Prospects Vol. 11. BP International, pp. 79-92. ISBN 978-93-48006-98-1

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Abstract

Taylor's Equation has proven utility for determining the lifetime of cutting tools in the machining of metal. Whereas, Taylor's Equation is not widespread for the prediction of wear of wood machining tools due to the lack of appropriate coefficients of the Equation. A computer numerical control machine was used for conventional longitudinal milling of aspen (Populus tremula L.) wood with cutter knives of high-alloy tool steel X150CrMo12 according to European standard EN 10027-1:2016 on the cutter head. Changes in the surface roughness characterized the wear phases of the cutting tool at two different values of cutting velocity were obtained depending on the length of the cutting trajectory as it is more appropriate for forecasting tool wear compared to the time of cutting because the time depends on the feed speed. Research showed that the achievable length of cutting trajectory until the critical wear phase increases approximately two times from 45000 to 96000 m per tooth when cutting velocity is increased from 20 to 40 m s-1. The equation to predict the achievable length of cutting trajectory was obtained depending on the cutting velocity–the main factor affecting tools wear the most. It was noted that also other parameters of the cutting regime mostly the angular parameters of the cutter, feed speed, chip thickness and cutting depth are affecting the tool wear and must be included in the Equation in future research.

Item Type: Book Section
Subjects: GO STM Archive > Computer Science
Depositing User: Unnamed user with email support@gostmarchive.com
Date Deposited: 23 Sep 2024 05:44
Last Modified: 23 Sep 2024 05:44
URI: http://journal.openarchivescholar.com/id/eprint/1527

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