This work investigates the wear characteristics of two different coating systems deposited on cemented carbide tools and used in the finish turning of an Inconel DA718 aerospace alloy. The two coatings were: (a) a new nanocomposite multilayer Ti25Al65Cr10 N/Ti20Al52Cr22Si8N PVD coating, and (b) an AlTiN benchmark coating. Four different cutting speeds (60, 80, 100 and 120 m/min) were employed during this study. Wear behavior was characterized using three-dimensional volumetric wear progression, as well as flank wear progression, wear mechanism evaluation, and cutting force analysis. A tool life predictive model was created for this process based on both 3D and flank wear patterns. The tool with the nanocomposite coating outperformed the AlTiN benchmark coating under higher speed conditions, and both tools performed best under a surface speed of 80 m/min. The primary wear mechanisms responsible for the performance of these coatings differ in relation to the adaptive behavior of the nanocomposite coating. In addition, tool wear predictions modeled under different cutting conditions demonstrated an estimated accuracy of 93%.

A novel method of assessing and predicting coated cutting tool wear during Inconel DA 718 turning / Capasso, S.; Paiva, J. M.; Junior, E. L.; Settineri, L.; Yamamoto, K.; Amorim, F. L.; Torres, R. D.; Covelli, D.; Fox-Rabinovich, G.; Veldhuis, S.. - In: WEAR. - ISSN 0043-1648. - STAMPA. - 432-433:(2019), p. 202949. [10.1016/j.wear.2019.202949]

A novel method of assessing and predicting coated cutting tool wear during Inconel DA 718 turning

Capasso S.;Settineri L.;
2019

Abstract

This work investigates the wear characteristics of two different coating systems deposited on cemented carbide tools and used in the finish turning of an Inconel DA718 aerospace alloy. The two coatings were: (a) a new nanocomposite multilayer Ti25Al65Cr10 N/Ti20Al52Cr22Si8N PVD coating, and (b) an AlTiN benchmark coating. Four different cutting speeds (60, 80, 100 and 120 m/min) were employed during this study. Wear behavior was characterized using three-dimensional volumetric wear progression, as well as flank wear progression, wear mechanism evaluation, and cutting force analysis. A tool life predictive model was created for this process based on both 3D and flank wear patterns. The tool with the nanocomposite coating outperformed the AlTiN benchmark coating under higher speed conditions, and both tools performed best under a surface speed of 80 m/min. The primary wear mechanisms responsible for the performance of these coatings differ in relation to the adaptive behavior of the nanocomposite coating. In addition, tool wear predictions modeled under different cutting conditions demonstrated an estimated accuracy of 93%.
2019
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2877374