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2021 | OriginalPaper | Buchkapitel

Comparative Study of Temperature Prediction in the Machining Process of Ti-6Al-4V, Inconel 718 and AISI4340 Using Numerical Analysis

verfasst von : Tiyamike Banda, Kok-Cheong Wong, Ali Akhavan Farid, Chin Seong Lim

Erschienen in: Recent Trends in Manufacturing and Materials Towards Industry 4.0

Verlag: Springer Singapore

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Abstract

In the machining process, heat generation and saturation on the cutting zone due to friction is one of the root causes of premature tool failure during dry cutting of hard-to-machine aerospace materials. Measuring and predicting thermal distribution is challenging because the tool and the workpiece are always in contact during the machining process. In this research, Finite Element Analysis (FEA) was employed to model the thermal distribution of titanium (Ti-6Al-4V), Inconel 718, and steel (AISI4340) during the machining process using three different tools: tungsten carbide, High-Speed Steel (HSS) and sintered silicon carbide. Johnson-Cook strength model and Johnson-Cook failure model were applied during the simulation using Lagrangian formulation in dry cutting. Different machining parameters i.e. cutting speed ranging from 90 to 360 m/min, depth of cut ranging from 0.5 to 2.5 mm, and rake angle ranging from 3 to 20°, were simulated and analysed. Small depth of cut of below 1 mm, low cutting speeds below 90 m/min and large rake angles above 10° are recommended for the dry cutting of these three materials to minimize the heat saturation on the cutting zone. This research provides an understanding of the relationship between material properties and heat saturation in the cutting zone for different materials. The analysis helps in the selection of predictor variables for modelling online temperature prediction using machine learning methods.

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Literatur
1.
Zurück zum Zitat Abouridouane M, Klocke F, Döbbeler B (2016) Analytical temperature prediction for cutting steel. CIRP Ann Manuf Technol 65(1):77–80CrossRef Abouridouane M, Klocke F, Döbbeler B (2016) Analytical temperature prediction for cutting steel. CIRP Ann Manuf Technol 65(1):77–80CrossRef
2.
Zurück zum Zitat Ning J, Liang SY (2019) A comparative study of analytical thermal models to predict the orthogonal cutting temperature of AISI 1045 steel. Int J Adv Manuf Technol 102(9–12):3109–3119CrossRef Ning J, Liang SY (2019) A comparative study of analytical thermal models to predict the orthogonal cutting temperature of AISI 1045 steel. Int J Adv Manuf Technol 102(9–12):3109–3119CrossRef
3.
Zurück zum Zitat Zhao M, Ji X, Liang SY (2019) Micro-grinding temperature prediction considering the effects of crystallographic orientation. Manuf Rev 6:22 Zhao M, Ji X, Liang SY (2019) Micro-grinding temperature prediction considering the effects of crystallographic orientation. Manuf Rev 6:22
4.
Zurück zum Zitat Deng Q, Mo R, Chen ZC, Chang Z (2020) An analytical approach to cutter edge temperature prediction in milling and its application to trochoidal milling. Appl Sci 10(5) Deng Q, Mo R, Chen ZC, Chang Z (2020) An analytical approach to cutter edge temperature prediction in milling and its application to trochoidal milling. Appl Sci 10(5)
5.
Zurück zum Zitat Baohai W, Di C, Xiaodong H, Dinghua Z, Kai T (2016) Cutting tool temperature prediction method using analytical model for end milling. Chin J Aeronaut 29(6):1788–1794CrossRef Baohai W, Di C, Xiaodong H, Dinghua Z, Kai T (2016) Cutting tool temperature prediction method using analytical model for end milling. Chin J Aeronaut 29(6):1788–1794CrossRef
7.
Zurück zum Zitat Bandal ON, Ghodekar OY, Bhanage SS, Gorwadkar PM, Kulkarni AP, Shaikh FA (2016) Investigation of cutting temperature distribution during hard turning of AISI 4340: a numerical approach. Int J Mod Trends Eng Res 3(8):196–203CrossRef Bandal ON, Ghodekar OY, Bhanage SS, Gorwadkar PM, Kulkarni AP, Shaikh FA (2016) Investigation of cutting temperature distribution during hard turning of AISI 4340: a numerical approach. Int J Mod Trends Eng Res 3(8):196–203CrossRef
8.
Zurück zum Zitat Johnson GR, Cook WH (1983) A constitutive model and data from metals subjected to large strains, high strain rates and high temperatures. In: Proceedings of 7th International Symposium of ballistics, The Hague, Netherlands [Internet]. [cited 2020 Feb 29]. Available from: https://ci.nii.ac.jp/naid/20000193157/ Johnson GR, Cook WH (1983) A constitutive model and data from metals subjected to large strains, high strain rates and high temperatures. In: Proceedings of 7th International Symposium of ballistics, The Hague, Netherlands [Internet]. [cited 2020 Feb 29]. Available from: https://​ci.​nii.​ac.​jp/​naid/​20000193157/​
11.
Zurück zum Zitat Zhang Y, Outeiro JC, Mabrouki T (2015) On the selection of Johnson-Cook constitutive model parameters for Ti-6Al-4V using three types of numerical models of orthogonal cutting. In: Procedia CIRP, pp 112–117 Zhang Y, Outeiro JC, Mabrouki T (2015) On the selection of Johnson-Cook constitutive model parameters for Ti-6Al-4V using three types of numerical models of orthogonal cutting. In: Procedia CIRP, pp 112–117
12.
Zurück zum Zitat Zȩbala W, Słodki B (2013) Cutting data correction in Inconel 718 turning. Int J Adv Manuf Technol 65(5–8):881–893CrossRef Zȩbala W, Słodki B (2013) Cutting data correction in Inconel 718 turning. Int J Adv Manuf Technol 65(5–8):881–893CrossRef
Metadaten
Titel
Comparative Study of Temperature Prediction in the Machining Process of Ti-6Al-4V, Inconel 718 and AISI4340 Using Numerical Analysis
verfasst von
Tiyamike Banda
Kok-Cheong Wong
Ali Akhavan Farid
Chin Seong Lim
Copyright-Jahr
2021
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-9505-9_52

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