Integration of Process Mechanics and Materials Mechanics for Precision Machining

Article Preview

Abstract:

On process mechanics, the mechanical and thermal stresses and their distributions within the material as imposed by machining is essential, and on materials mechanics, the crystal plasticity and microstructural dynamics of recrystallization, texture evolution, phase field variation, as well as constitutive of flow stress and other properties play pivotal roles. Furthermore, mechanical, thermal, and even chemical stresses imposed by machining effect the evolution of part microstructure and bulk properties, but on the other hand the materials microstructure can also change the flow stress characteristics and heat generation mechanics of machining. This process-materials interaction of bilateral nature is not clearly understood in the current literature. This paper outlines an iterative blending scheme to factor in both the process mechanics and materials mechanics in one analysis platform to facilitate the predictive modeling and planning of precision machining. The integration of the two mechanics domains combines macroscopic analysis of contact plasticity and moving heat source with the microscopic analysis of constitutive and homogenization modeling, to achieve a holistic descript of precision machining thus supporting process design and optimization. Steels, and titanium alloys are discussed as example material families in machining.

You might also be interested in these eBooks

Info:

Periodical:

Solid State Phenomena (Volume 261)

Pages:

9-16

Citation:

Online since:

August 2017

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2017 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Sreejith, P. and B. Ngoi, Material removal mechanisms in precision machining of new materials. International Journal of Machine Tools and Manufacture, 2001. 41(12): pp.1831-1843.

DOI: 10.1016/s0890-6955(01)00014-1

Google Scholar

[2] Wu, C., B. Li, and S.Y. Liang, A critical energy model for brittle–ductile transition in grinding considering wheel speed and chip thickness effects. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2016. 230(8): pp.1372-1380.

DOI: 10.1177/0954405416654194

Google Scholar

[3] Nikumb, S., et al., Precision glass machining, drilling and profile cutting by short pulse lasers. Thin Solid Films, 2005. 477(1): pp.216-221.

DOI: 10.1016/j.tsf.2004.08.136

Google Scholar

[4] Pan, Z., 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.

Google Scholar

[5] Young, H., H. -T. Liao, and H. -Y. Huang, Surface integrity of silicon wafers in ultra precision machining. The International Journal of Advanced Manufacturing Technology, 2006. 29(3-4): pp.372-378.

DOI: 10.1007/s00170-005-2508-1

Google Scholar

[6] Liang, S. and J. -C. Su, Residual stress modeling in orthogonal machining. CIRP Annals-Manufacturing Technology, 2007. 56(1): pp.65-68.

DOI: 10.1016/j.cirp.2007.05.018

Google Scholar

[7] Shao, Y., B. Li, and S.Y. Liang, Predictive Modeling of Surface Roughness in Grinding of Ceramics. Machining Science and Technology, 2015. 19(2): pp.325-338.

DOI: 10.1080/10910344.2015.1018535

Google Scholar

[8] Peascoe, R.A. and T.R. Watkins, Effect of cutting-edge geometry and workpiece hardness on surface residual stresses in finish hard turning of AISI 52100 steel. J Manuf Sci Eng, 2000. 122(1): pp.642-649.

DOI: 10.1115/1.1286369

Google Scholar

[9] Outeiro, J., D. Umbrello, and R. M'saoubi, Experimental and numerical modelling of the residual stresses induced in orthogonal cutting of AISI 316L steel. International Journal of Machine Tools and Manufacture, 2006. 46(14): pp.1786-1794.

DOI: 10.1016/j.ijmachtools.2005.11.013

Google Scholar

[10] Semiatin, S. and T. Bieler, The effect of alpha platelet thickness on plastic flow during hot working of Ti–6Al–4V with a transformed microstructure. Acta materialia, 2001. 49(17): pp.3565-3573.

DOI: 10.1016/s1359-6454(01)00236-1

Google Scholar

[11] Field, M. and J. Kahles, The surface integrity of machined-and ground high-strength steels(Surface integrity of machined and ground high strength steels). 1964., 1964: pp.54-77.

Google Scholar

[12] Griffiths, B., White layer formations at machined surfaces and their relationship to white layer formations at worn surfaces. J. Tribology(Trans. ASME), 1985. 107(2): pp.165-171.

DOI: 10.1115/1.3261015

Google Scholar

[13] Che-Haron, C. and A. Jawaid, The effect of machining on surface integrity of titanium alloy Ti–6% Al–4% V. Journal of Materials Processing Technology, 2005. 166(2): pp.188-192.

DOI: 10.1016/j.jmatprotec.2004.08.012

Google Scholar

[14] Popov, K.B., et al., Micromilling: material microstructure effects. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2006. 220(11): pp.1807-1813.

DOI: 10.1243/09544054jem683

Google Scholar

[15] DeVor, R., S. Kapoor, and D. Bammann, Microstructure-level modeling of ductile iron machining. (2002).

DOI: 10.1115/imece2001/med-23314

Google Scholar

[16] Zhipeng Pan, A.T., Donald S. Shih, Hamid Garmestani, Steven 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.

DOI: 10.1177/0954405417703430

Google Scholar

[17] Wan, Z., et al., Microstructure evolution of adiabatic shear bands and mechanisms of saw-tooth chip formation in machining Ti6Al4V. Materials Science and Engineering: A, 2012. 531: pp.155-163.

DOI: 10.1016/j.msea.2011.10.050

Google Scholar

[18] Fanfoni, M. and M. Tomellini, The johnson-mehl-avrami-kohnogorov model: a brief review. Il Nuovo Cimento D, 1998. 20(7-8): pp.1171-1182.

DOI: 10.1007/bf03185527

Google Scholar

[19] Elmer, J., et al., Phase transformation dynamics during welding of Ti–6Al–4V. Journal of applied physics, 2004. 95(12): pp.8327-8339.

DOI: 10.1063/1.1737476

Google Scholar

[20] Childs, T., Material property needs in modeling metal machining. Machining science and Technology, 1998. 2(2): pp.303-316.

DOI: 10.1080/10940349808945673

Google Scholar

[21] Calamaz, M., D. Coupard, and F. Girot, A new material model for 2D numerical simulation of serrated chip formation when machining titanium alloy Ti–6Al–4V. International Journal of Machine Tools and Manufacture, 2008. 48(3): pp.275-288.

DOI: 10.1016/j.ijmachtools.2007.10.014

Google Scholar

[22] Jiang, L., Å. Roos, and P. Liu, The influence of austenite grain size and its distribution on chip deformation and tool life during machining of AISI 304L. Metallurgical and Materials Transactions A, 1997. 28(11): pp.2415-2422.

DOI: 10.1007/s11661-997-0198-z

Google Scholar

[23] Pan, Z., et al., Prediction of machining-induced phase transformation and grain growth of Ti-6Al-4 V alloy. The International Journal of Advanced Manufacturing Technology, 2016. 87(1): pp.859-866.

DOI: 10.1007/s00170-016-8497-4

Google Scholar

[24] Pan, Z., et al., Modeling of Ti-6Al-4V machining force considering material microstructure evolution. The International Journal of Advanced Manufacturing Technology, 2017. doi: 10. 1007/s00170-016-9964-7.

DOI: 10.1007/s00170-016-9964-7

Google Scholar

[25] Lütjering, G., Influence of processing on microstructure and mechanical properties of (α+ β) titanium alloys. Materials Science and Engineering: A, 1998. 243(1): pp.32-45.

DOI: 10.1016/s0921-5093(97)00778-8

Google Scholar

[26] Zhang, X., R. Shivpuri, and A. Srivastava, Role of phase transformation in chip segmentation during high speed machining of dual phase titanium alloys. Journal of Materials Processing Technology, 2014. 214(12): pp.3048-3066.

DOI: 10.1016/j.jmatprotec.2014.07.007

Google Scholar

[27] Bultel, H. and J. -B. Vogt, Influence of heat treatment on fatigue behaviour of 4130 AISI steel. Procedia Engineering, 2010. 2(1): pp.917-924.

DOI: 10.1016/j.proeng.2010.03.099

Google Scholar

[28] Zhipeng Pan, Y.F., Xia Ji, Steven Liang. Turning Force Prediction of AISI 4130 Considering Dynamic Recrystallization. in ASME 2017 International Manufacturing Science and Engineering Conference. 2017. American Society of Mechanical Engineers.

DOI: 10.1115/msec2017-3049

Google Scholar