Simularea este un instrument cheie de cercetare care poate ajuta la îmbunătățirea înțelegerii noastre a mecanicii și fizicii prelucrării și poate duce la îmbunătățiri ale productivității și economii de costuri. Pot fi utilizate diferite tipuri de analiză cu elemente finite, în funcție de proces, materiale utilizate și obiective. Exemplele oferite ilustrează gama tipică de aplicabilitate a diferitelor tipuri de simulări și perspectivele care pot fi obținute din acestea. Se poate aștepta să continue să apară progrese suplimentare, de exemplu, în modele constitutive mai exacte, formulări de elemente mai noi (de exemplu, elemente capabile să reprezinte discontinuități de alunecare) și proceduri de analiză îmbunătățite (lagrangianul eulerian constrâns, hidrodinamica particulelor netede, metoda elementului discret, formulări fără elemente etc.). Validarea experimentală a simulărilor este importantă pentru utilizarea de rutină a simulărilor de către industrie, ceea ce poate duce la îmbunătățiri semnificative ale productivității prelucrării.
Simulation is a key research tool that can help improve our understanding of the mechanics and physics of machining, and lead to productivity improvements and cost savings. Different types of finite element analysis can be used, depending upon the process, materials used, and objectives. The examples provided illustrate the typical range of applicability of the different types of simulations and the insights that can be obtained from them. Further advances can be expected to continue to occur, for instance, in more accurate constitutive models, newer element formulations (e.g., elements capable of representing slip discontinuities), and improved analysis procedures (constrained Eulerian Lagrangian, smooth particle hydrodynamics, discrete element method, element-free formulations, etc.). Experimental validation of simulations is important for routine use of simulations by industry, which can lead to significant improvements in machining productivity.

Referințe

Arola D, Ramulu M (1997) Orthogonal cutting of fiber-reinforced composites: a finite element analysis. Int J Mech Sci 39(5):597–613

Arrazola PJ, Ozel T, Umbrello D, Davies M, Jawahir IS (2013) Recent advances in modelling of metal machining processes. CIRP Ann Manuf Technol 62(2):695–718

Bagchi A, Wright PK (1987) Stress analysis in machining with the use of sapphire tools. Proc R Soc Lond A 409:99–113

Belytschko T, Liu WK, Moran B (2000) Nonlinear finite elements for continua and structures. Wiley, Chichester

Burns TJ, Mates SP, Rhorer RL, Whitenton EP, Basak D (2011) Dynamic properties for modeling and simulation of machining: effect of Pearlite to Austenite phase transition on flow stress in AISI 1075 steel. Mach Sci Technol 15(1):1–20

Calzada KA, Kapoor SG, DeVor RE, Samuel J, Srivastava AK (2012) Modeling and interpretation of fiber orientation-based failure mechanisms in machining of carbon fiber-reinforced polymer composites. J Manuf Process 14(2):141–149

Carroll III JT, Strenkowski JS (1988) Finite element models of orthogonal cutting with application to single point diamond turning. Int J Mech Sci 30(12):899–920

Carslaw HS, Jaeger JC (1959) Conduction of heat in solids. Oxford University Press, London

Chandrasekaran H, M’Saoubi R, Chazal H (2005) Modelling of material flow stress in chip formation process from orthogonal milling and split hopkinson bar tests. Mach Sci Technol 9:131–145

Childs (1997) Material property requirements for modelling metal machining. J Phys IV France 7 Colloque C3, Supplement au Journal de Physique I11 d’aoiit XXI

Childs THC, Mahdi MI (1989) On the stress distribution between the chip and tool during metal turning. Ann CIRP 38(1):55–58

Deshpande A (2006) Improving the thermal modeling of the orthogonal machining process. Wichita State University, Wichita

Deshpande A, AlBawaneh M, Madhavan V (2010) Determination of Johnson-Cook material model constants for AISI 4340 HR by metal cutting. In: Transactions of the North American Manufacturing Research Institution/SME 38:25–32

Deshpande A, Madhavan V (2012) A novel approach to accelerate attainment of thermal steady state in coupled thermomechanical analysis of machining. Int J Heat Mass Transf 55(13–14): 3869–3884

Guo YB, Dornfeld DA (2000) Finite element modeling of Burr formation process in drilling 304 stainless steel. ASME J Manuf Sci Eng 122:612–619

Guo YB, Wen Q, Horstemeyer MF (2005a) An internal state variable plasticity-based approach to determine dynamic loading history effects on material property in manufacturing processes. Int J Mech Sci 47:1423–1441

Guo YB, Wen Q, Woodbury KA (2006) Dynamic material behavior modeling using internal state variable plasticity and its application in hard machining simulations. J Manuf Sci Eng 128(3):749–759

Huang JM, Black JT (1996) An evaluation of chip separation criteria for the FEM simulation of machining. J Manuf Sci Eng 118:545–554

Jaspers SPFC, Dautzenberg JH (2002) Material behaviour in conditions similar to metal cutting: flow stress in the primary shear zone. J Mater Process Technol 122:322–330

Kato S, Yamaguchi K, Yamada M(1972) Stress distribution at the interface between tool and chip in machining. J Eng Ind 94(2):683–689

Li L, Li B, Li X, Ehmann KF (2013) Experimental investigation of hard turning mechanisms by pcbn tooling embedded micro thin film thermocouples. J Manuf Sci Eng 135(4):041012-041012-12

Li SH, Hou B (2014) Material behavior modeling in machining simulation of 7075-T651 aluminum alloy. J Eng Mater Technol Trans Asme 136(1)

Liu R, Melkote SN, Pucha R, Morehouse J, Man X, Marusich T (2013) An enhanced constitutive material model for machining of Ti-6Al-4V alloy. J Mater Process Technol 213:2238–2246

Madhavan V, Chandrasekar S, Farris TN (1996) Mechanistic model of machining as an indentation process. In: Stephenson DA, Stevenson R (eds) Materials issues in machining – III and the physics of machining processes – III. TMS, Cincinnati, pp 187–208

Maekawa K, Shirakashi T, Usui E (1983) Flow stress of low carbon steel at high temperature and strain rate (part 2) – flow stress under variable temperature and variable strain rate. Bull Jpn Soc Prec Engg 17(3):167–172

Mates SP, Rhorer R, Whitenton E, Burns T, Basak D (2008) A pulse-heated Kolsky bar technique for measuring the flow stress of metals at high loading and heating rates. Exp Mech 48(6):799–807

Menon T, Madhavan V (2014) Transparent tools. Infrared thermography of the chip-tool interface through transparent cutting tools. In: Proceedings of the North American Manufacturing Research Institution/SME, Ann Arbor, June 2014

Movahhedy M, Gadala MS, Altintas Y (2000) Simulation of the orthogonal metal cutting process using an arbitrary Lagrangian–Eulerian finite-element method. J Mater Process Technol 103(2):267–275

Obikawa T, Usui E (1996) Computational machining of titanium alloy – finite element modeling and a few results. J Eng Ind 118(2):208–215. doi:10.1115/1.2831013 (8 pages)

Oyane M, Takashima F, Osakada K, Tanaka H (1967) The behaviour of some steels under dynamic compression. In: Proceedings of 10th Japan Congress on testing materials, pp. 72–76

Ozel T (2006) The influence of friction models on finite element simulations of machining. Int J Mach Tools Manuf 46:518–530

Ozel T, Zeren E (2006) A methodology to determine work material flow stress and tool-chip interfacial friction properties by using analysis of machining. J Manuf Sci Eng 128:119–129

Pantale O, Rakotomalala R, Touratier M, Hakem N (1996) A three-dimensional numerical model of orthogonal and oblique metal cutting processes. In: Engineering systems design and analysis, PD-75, vol 3. ASME, pp 199–206

Pednekar V, Madhavan V, Adibi-Sedeh AH (2004) Investigation of the transition from plane strain to plane stress in orthogonal metal cutting. In: Proceedings of the 2004 ASME international mechanical engineering congress and exposition, IMECE, November 13–19, 2004. American Society of Mechanical Engineers, Anaheim

Sekhon GS, Chenot JL (1993) Numerical simulation of continuous chip formation during non-steady orthogonal cutting. Eng Comput 10(1):31–48

Shatla M, Keck C, Altan T (2000) Process modeling in machining. Part 1: determination of flow stress data. Int J Mach Tools Manuf 41:1511–1534

Shi B, Attia H, Tounsi N (2010) Identification of material constitutive laws for machining-part II: generation of the constitutive data and validation of the constitutive law. J Manuf Sci Eng Trans Asme 132(5):1–9

Shih AJM, Chandrasekar S, Yang HTY (1990) Finite element simulation of metal cutting process with strain-rate and temperature effects. In: Winter annual meeting of the American Society of Mechanical Engineers, November 25, 1990–November 30, 1990. Publ by ASME, Dallas

Shrot A, Baker M (2010) Determination of Johnson–Cook parameters from machining simulations. Comput Mat Sci 52:298–304

Simoneau A, Ng E, Elbestawi MA (2006) Chip formation during microscale cutting of a medium carbon steel. Int J Mach Tools Manuf 46(5):467–481

Simoneau A, Ng E, Elbestawi MA (2007) Modeling the effects of microstructure in metal cutting. Int J Mach Tools Manuf 47(2):368–375

Strenkowski JS, Carroll III JT (1985) Finite element model of orthogonal metal cutting. J Eng Ind 107(4):349–354

Touratier M (1999) Computational models of chip formation and chip-flow in machining in a multi-scale approach. Present status and future needs. Proceedings of the IInd CIRP international workshop on modeling of machining operations, Nantes, pp 2–29

Usui E, Shirakashi T (1982) Mechanics of machining – from ‘descriptive’ to ‘predictive’ theory. In: On the art of cutting metals – 75 years later, a tribute to F. W. Taylor. Presented at the winter annual meeting of the American Society of Mechanical Engineers. ASME, Phoenix

Usui E, Shirakashi T, Kitagawa T (1984) Analytical predlction of cutting tool wear. Wear 100:129–151

Venu Gopala Rao G, Mahajan P, Bhatnagar N (2007) Machining of UD-GFRP composites chip formation mechanism. Compos Sci Technol 67(11):2271–2281

Wang XY, Huang CZ, Zou B, Liu HL, Zhu HT, Wang J (2013) Dynamic behavior and a modified Johnson-Cook constitutive model of Inconel 718 at high strain rate and elevated temperature. Mater Sci Eng A Struct Mater Prop Microstruct Process 580:385–390

Yen Y-C, So¨hner J, Lilly B, Altan T (2004) Estimation of tool wear in orthogonal cutting using the finite element analysis. J Mater Process Technol 146:82–91

Zhang B, Bagchi A (1994) Finite element simulation of chip formation and comparison with machining experiment. J Eng Ind 116(3):289–297

Zhang LC (1999) On the separation criteria in the simulation of orthogonal metal cutting using the finite element method. J Mater Process Technol 89–90:273–278

Zanger F, Schulze V (2013) Investigations on Mechanisms of Tool Wear in Machining of Ti-6Al-4V using FEM Simulation. Procedia CIRP 8:158–163