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Study on the Influence of Machining Parameters on Surface Residual Stresses in Dry Turning Inconel718 using FEA and ANN

Published: 18 February 2017 Publication History

Abstract

To study the influence of machining parameters on machining process and surface quality of difficult-machining aircraft materials in dry cutting conditions, a 2-D finite element model for orthogonal cutting process has been established and the process of dry turning of Inconel718 with cubic boron nitride (CBN) cutting tools has been simulated using software AdvantEdge FEM in this paper. The effect of cutting speed, depth of cut, and feed rate on surface residual stresses has been examined; and a model for forecasting the maximum tensile residual stress has been established using Artificial Neural Network (ANN) based on the finite element simulation results under various cutting regimes. This hybrid FEM-ANN based method provides theoretical reference for the prediction of surface residual stresses in dry turning Inconel718.

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ICCAE '17: Proceedings of the 9th International Conference on Computer and Automation Engineering
February 2017
365 pages
ISBN:9781450348096
DOI:10.1145/3057039
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Macquarie U., Austarlia

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Association for Computing Machinery

New York, NY, United States

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Published: 18 February 2017

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Author Tags

  1. Artificial Neural Network
  2. CBN cutting tool
  3. Finite element method
  4. Inconel718
  5. Surface residual stresses

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