journal article·2025-03

Cross-scale constitutive description and deformation mechanism in cutting nickel-based superalloy Inconel718

Zhaopeng Hao, Bing Mu, Yihang Fan

Publisher page

Abstract

No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.

Source: Not provided · Quality: missing

Research context

OpenAlex topics: Advanced machining processes and optimization · Metallurgy and Material Forming · Metal Alloys Wear and Properties

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (37)

Show source-provided references
1. De Bartolomeis A, Newman ST, Jawahir IS et al (2021) Future research directions in the machining of Inconel 718. J Mater Process Technol 297:117260. https://doi.org/10.1016/j.jmatprotec.2021.11726010.1016/j.jmatprotec.2021.117260 ↗
2. Hong SJ, Chen WP, Wang TW (2000) A diffraction study of the γ′′ phase in Inconel718 Superalloy. Metall Mater Trans A 32:1887–1901. https://doi.org/10.1007/s11661-001-0002-410.1007/s11661-001-0002-4 ↗
3. Zhang RY, Qin HL, Bi ZN et al (2020) Evolution of Lattice spacing of gamma double prime precipitates during aging of polycrystalline Ni-base superalloys: an in situ investigation. Metall Mater Trans A 51:574–585. https://doi.org/10.1007/s11661-019-05536-y10.1007/s11661-019-05536-y ↗
4. Liang X, Liu Z, Wang B (2019) State-of-the-art of surface integrity induced by tool wear effects in machining process of titanium and nickel alloys: a review. Measurement 132:150–181. https://doi.org/10.1016/j.measurement.2018.09.04510.1016/j.measurement.2018.09.045 ↗
5. Sutter G (2005) Chip geometries during high-speed machining for orthogonal cutting conditions. Int J Mach Tools Manuf 45:719–726. https://doi.org/10.1016/j.ijmachtools.2004.09.01810.1016/j.ijmachtools.2004.09.018 ↗
6. Liu C, Wan M, Zhang W, Yang Y (2021) Chip formation mechanism of Inconel 718: a review of models and approaches. Chin J Mech Eng 34:34. https://doi.org/10.1186/s10033-021-00552-910.1186/s10033-021-00552-9 ↗
7. Chandra Behera B, Sudarsan Ghosh C, Paruchuri VR (2019) Study of saw-tooth chip in machining of Inconel 718 by metallographic technique. Mach Sci Technol 23:431–454. https://doi.org/10.1080/10910344.2019.157539710.1080/10910344.2019.1575397 ↗
8. Ducobu F, Rivière-Lorphèvre E, Filippi E (2015) Experimental contribution to the study of the Ti6Al4V chip formation in orthogonal cutting on a milling machine. IntJ Mater Form 8:455–468. https://doi.org/10.1007/s12289-014-1189-410.1007/s12289-014-1189-4 ↗
9. Hao Z, Li J, Fan Y (2021) Cutting mechanism of enhanced phase γ’ in Inconel 718 based on strain gradient theory. Int J Adv Manuf Technol 113:2523–2537. https://doi.org/10.1007/s00170-021-06821-010.1007/s00170-021-06821-0 ↗
10. Huang M, Zhao L, Tong J (2012) Discrete dislocation dynamics modelling of mechanical deformation of nickel-based single crystal superalloys. Int J Plast 28:141–158. https://doi.org/10.1016/j.ijplas.2011.07.00310.1016/j.ijplas.2011.07.003 ↗
11. Hu J, Liu Z, Chen K, Zhuang Z (2017) Investigations of shock-induced deformation and dislocation mechanism by a multiscale discrete dislocation plasticity model. Comput Mater Sci 131:78–85. https://doi.org/10.1016/j.commatsci.2017.01.03510.1016/j.commatsci.2017.01.035 ↗
12. Yashiro K, Kurose F, Nakashima Y et al (2006) Discrete dislocation dynamics simulation of cutting of γ′ precipitate and interfacial dislocation network in Ni-based superalloys. Int J Plast 22:713–723. https://doi.org/10.1016/j.ijplas.2005.05.00410.1016/j.ijplas.2005.05.004 ↗
13. Lemarchand C, Devincre B, Kubin LP (2001) Homogenization method for a discrete-continuum simulation of dislocation dynamics. J Mech Phys Solids 49:1969–1982. https://doi.org/10.1016/S0022-5096(01)00026-610.1016/S0022-5096(01)00026-6 ↗
14. Mecking H, Kocks UF (1979) A mechanism for static and dynamic recovery. In: Strength of metals and alloys 1:345–35010.1016/B978-1-4832-8412-5.50063-1 ↗
15. Estrin Y, Kubin LP (1986) Local strain hardening and nonuniformity of plastic deformation. Acta Metall 34:2455–2464. https://doi.org/10.1016/0001-6160(86)90148-310.1016/0001-6160(86)90148-3 ↗
16. Estrin Y, Tóth LS, Molinari A, Bréchet Y (1998) A dislocation-based model for all hardening stages in large strain deformation. Acta Mater 46:5509–5522. https://doi.org/10.1016/S1359-6454(98)00196-710.1016/S1359-6454(98)00196-7 ↗
17. Kavosi J, Saei M, Kazeminezhad M (2013) Dislocation density and flow stress modeling of nanostructured Al–SiCp composite during accumulative roll bonding. Comput Mater Sci 67:359–363. https://doi.org/10.1016/j.commatsci.2012.09.02010.1016/j.commatsci.2012.09.020 ↗
18. Ding H, Shin YC (2014) Dislocation density-based grain refinement modeling of orthogonal cutting of titanium. J Manuf Sci Eng 136:041003. https://doi.org/10.1115/1.402720710.1115/1.4027207 ↗
19. Bai J, Tong Z (2021) A novel multiscale material plasticity simulation model for high-performance cutting AISI 4140 steel. Int J Adv Manuf Technol 116:3891–3904. https://doi.org/10.1007/s00170-021-07643-w10.1007/s00170-021-07643-w ↗
20. Tang X-F, Wang B-Y, Zhang N et al (2022) Modeling of microstructural evolution and flow behavior of superalloy IN718 using physically based internal state variables. Rare Met 41:2759–2766. https://doi.org/10.1007/s12598-015-0602-610.1007/s12598-015-0602-6 ↗
21. Pan Y, Bai J, Xu Z (2022) Theoretical and numerical studies of surface microstructural transformation in ultrasonic elliptical vibration cutting tungsten heavy alloys. Int J Adv Manuf Technol 123:3943–3953. https://doi.org/10.1007/s00170-022-10293-110.1007/s00170-022-10293-1 ↗
22. Li B, Zhang S, Hu R, Zhang X (2020) Dislocation density and grain size evolution in hard machining of H13 steel: numerical and experimental investigation. J Mater Res Technol 9:4241–4254. https://doi.org/10.1016/j.jmrt.2020.02.05110.1016/j.jmrt.2020.02.051 ↗
23. Bai J, Xu Z, Qian L (2022) Precision-improving manufacturing produces ordered ultra-fine grained surface layer of tungsten heavy alloy through ultrasonic elliptical vibration cutting. Mater Des 220:110859. https://doi.org/10.1016/j.matdes.2022.11085910.1016/j.matdes.2022.110859 ↗
24. Hao Z, Li J, Fan Y, Ji F (2019) Study on constitutive model and deformation mechanism in high speed cutting Inconel718. Arch Civ Mech Eng 19:439–452. https://doi.org/10.1016/j.acme.2018.11.00910.1016/j.acme.2018.11.009 ↗
25. Baik SC, Estrin Y, Kim HS, Hellmig RJ (2003) Dislocation density-based modeling of deformation behavior of aluminium under equal channel angular pressing. Mater Sci Eng A 351:86–97. https://doi.org/10.1016/S0921-5093(02)00847-X10.1016/S0921-5093(02)00847-X ↗
26. Lemiale V, Estrin Y, Kim HS, O’Donnell R (2010) Grain refinement under high strain rate impact: a numerical approach. Comput Mater Sci 48:124–132. https://doi.org/10.1016/j.commatsci.2009.12.01810.1016/j.commatsci.2009.12.018 ↗
27. Roters F (2003) A new concept for the calculation of the mobile dislocation density in constitutive models of strain hardening. Phys Status Solidi (b) 240:68–74. https://doi.org/10.1002/pssb.20030187310.1002/pssb.200301873 ↗
28. Wu J, Liu Z (2010) Modeling of flow stress in orthogonal micro-cutting process based on strain gradient plasticity theory. Int J Adv Manuf Technol 46:143–149. https://doi.org/10.1007/s00170-009-2049-010.1007/s00170-009-2049-0 ↗
29. Arsenlis A, Cai W, Tang M et al (2007) Enabling strain hardening simulations with dislocation dynamics. Modell Simul Mater Sci Eng 15:553–595. https://doi.org/10.1088/0965-0393/15/6/00110.1088/0965-0393/15/6/001 ↗
30. Cui Y, Liu Z, Zhuang Z (2015) Quantitative investigations on dislocation based discrete-continuous model of crystal plasticity at submicron scale. Int J Plast 69:54–72. https://doi.org/10.1016/j.ijplas.2015.02.00210.1016/j.ijplas.2015.02.002 ↗
31. Horstemeyer MF (2012) Integrated Computational Materials Engineering (ICME) for metals: using multiscale modeling to invigorate engineering design with science. John Wiley & Sons, Canada pp 388–39010.1002/9781118342664 ↗
32. Jin W (2020) Discrete dislocation dynamics of submicron scale crystal plastic deformation. https://doi.org/10.27440/d.cnki.gysdu.2019.00131010.27440/d.cnki.gysdu.2019.001310 ↗
33. Liu ZL, You XC, Zhuang Z (2008) A mesoscale investigation of strain rate effect on dynamic deformation of single-crystal copper. Int J Solids Struct 45:3674–3687. https://doi.org/10.1016/j.ijsolstr.2007.08.03210.1016/j.ijsolstr.2007.08.032 ↗
34. Ding H, Shen N, Shin YC (2011) Modeling of grain refinement in aluminum and copper subjected to cutting. Comput Mater Sci 50:3016–3025. https://doi.org/10.1016/j.commatsci.2011.05.02010.1016/j.commatsci.2011.05.020 ↗
35. Zhou JM, Bushlya V, Peng RL et al (2011) Effects of tool wear on subsurface deformation of nickel-based superalloy. Procedia Eng 19:407–413. https://doi.org/10.1016/j.proeng.2011.11.13310.1016/j.proeng.2011.11.133 ↗
36. Erice B, Gálvez F (2014) A coupled elastoplastic-damage constitutive model with Lode angle dependent failure criterion. Int J Solids Struct 51:93–110. https://doi.org/10.1016/j.ijsolstr.2013.09.01510.1016/j.ijsolstr.2013.09.015 ↗
37. Zorev NN (1963) Inter-relationship between shear processes occurring along tool face and shear plane in metal cutting. Int R Prod Eng 49:143–152