Volume 4, 2017
|Number of page(s)||9|
|Published online||23 May 2017|
- B.Z. XueFeng Wu, G.C. Feng, Thermal and cutting process simulation analysis of laser assisted milling of Inconel 718, in: Joint International Mechanical, Electronic and Information Technology Conference 2015.
- A. Devillez, et al., Cutting forces and wear in dry machining of Inconel 718 with coated carbide tools, Wear 262 (2007) 931–942. [CrossRef]
- Z. Pan, et al., Force modeling of Inconel 718 laser-assisted end milling under recrystallization effects, The International Journal of Advanced Manufacturing Technology (2017), DOI: 10.1007/s00170-017-0379-x.
- Z. Pan, et al., Analytical model for force prediction in laser-assisted milling of IN718, The International Journal of Advanced Manufacturing Technology (2016), DOI: 10.1007/s00170-016-9629-6.
- B. Shi, et al., Numerical and experimental investigation of laser-assisted machining of Inconel 718, Machining Science and Technology 12 (2008) 498–513. [CrossRef]
- K.Y. Nyon, et al., Finite element analysis of laser inert gas cutting on Inconel 718, The International Journal of Advanced Manufacturing Technology 60 (2011) 995–1007. [CrossRef]
- G. Wasle, B. Buchmayr, C. Lind, C. Sommitsch, FEM-coupled simulation of microstructure during hot forming processes, https://online.unileoben.ac.at/mu_online/voe_main2.getVollText?pDocumentNr=6519&pCurrPk=8222.
- E.A. Rahim, N.M. Warap, Z. Mohid, M.R. Ibrahim, N. Rafai, Numerical analysis of laser preheating for laser assisted micro milling of Inconel 718, Applied Mechanics and Materials 773–774 (2015) 332–336. [CrossRef]
- M.A. Balbaa, M.N.A. Nasr, Prediction of residual stresses after laser-assisted machining of Inconel 718 using SPH, Procedia CIRP 31 (2015) 19–23. [CrossRef]
- H. Ding, Microstructural prediction in metal cutting and improvement of machinability and surface integrity via laser-assisted machining, Purdue University, 2012.
- X.-M. Chen, et al., Dynamic recrystallization behavior of a typical nickel-based superalloy during hot deformation, Materials & Design 57 (2014) 568–577. [CrossRef]
- A. Reshetov, O. Bylya, N. Stefani, M. Rosochowska, P. Blackwell, An approach to microstructure modelling in nickel based superalloys, in: M. Hardy, E. Huron, U. Glatzel, B. Griffin, B. Lewis, C. Rae, V. Seetharaman, S. Ti (Eds.), TMS 13th International Symposium on Superalloys, Seven Springs (Pennsylvania), 2016, pp. 531–538.
- Z. Pan, S.Y. Liang, H. Garmestani, D.S. Shih, Prediction of machining-induced phase transformation and grain growth of Ti-6Al-4 V alloy, The International Journal of Advanced Manufacturing Technology 87 (2016) 859–866. [CrossRef]
- Z. Pan, et al., Modeling of Ti-6Al-4 V machining force considering material microstructure evolution, The International Journal of Advanced Manufacturing Technology (2017), DOI: 10.1007/s00170-016-9964-7.
- Z. Pan, A. Tabei, D.S. Shih, H. Garmestani, S.Y. Liang, The effects of dynamic evolution of microstructure on machining forces, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture (2017), DOI: 10.1177/0954405417703430.
- D. Huang, W.T. Wu, D. Lambert, S.L. Semiatin, Computer simulation of microstructure evolution during hot forging of waspaloy and nickel alloy 718, in: R. Srinivasan, S.L. Semiatin, A. Beaudoin, S. Fox, Z. Jin (Eds.), Proceedings of Symposium: Microstructure Modeling and Prediction During Thermomechanical Processing, Indianapolis, November 4–8, TMS, Warrendale, 2001, pp. 137–146.
- L.A. Reyes, P. Páramo, A. Salas Zamarripa, M. de la Garza, M.P. Guerrero-Mata, Influence of processing parameters on grain size evolution of a forged superalloy, Journal of Materials Engineering and Performance 25 (2016) 179–187. [CrossRef]
- A. Loyda, G.M. Hernández-Muñoz, L.A. Reyes, P. Zambrano-Robledo, Microstructure modeling of a Ni-Fe-based superalloy during the rotary forging process, Journal of Materials Engineering and Performance 25 (2016) 2128–2137. [CrossRef]
- P.J. Arrazola, et al., On the machining induced residual stresses in IN718 nickel-based alloy: experiments and predictions with finite element simulation, Simulation Modelling Practice and Theory 41 (2014) 87–103. [CrossRef]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.