Identification of the optimum cutting parameters in intermittent hard turning with specific cutting energy, damage equivalent stress, and surface roughness considered

Studies on specific cutting energy, damage equivalent stress, and surface roughness were conducted to identify the optimum cutting parameter area in intermittent hard turning. The optimum cutting parameter area was acquired based on finite element simulations, micromechanics, damage mechanics, and intermittent turning tests. It was found that the transient specific cutting energy and the transient damage equivalent stress evolved cyclically with the periodical formation of saw-tooth chip. The average specific cutting energy in the cutting period became larger as tool wear increased. However, the average damage equivalent stress in the cutting period and surface roughness decreased first and then increased when tool wear became higher. The evolution process of these average values and surface roughness with tool wear can be divided into three stages. There were obvious corresponding relationships between these three stages and the tool wear stages. Analysis of the mean values of specific cutting energy, damage equivalent stress, and surface roughness in the steady tool wear stage indicated that when the feed rate was in the range of 0.2 to 0.25 mm/r and cutting speeds ranging from 110 to 125 m/min were adopted, relatively low energy consumption, relatively long tool life, and relatively good surface quality can be obtained at the same time.

[1]  S. Debnath,et al.  Influence of cutting fluid conditions and cutting parameters on surface roughness and tool wear in turning process using Taguchi method , 2016 .

[2]  Xiaobin Cui,et al.  Effects of cutting parameters on tool temperatures in intermittent turning with the formation of serrated chip considered , 2017 .

[3]  Paul Mativenga,et al.  Sustainable machining: selection of optimum turning conditions based on minimum energy considerations , 2010 .

[4]  D. V. Hutton,et al.  On the closed form mechanistic modeling of milling: Specific cutting energy, torque, and power , 1994, Journal of Materials Engineering and Performance.

[5]  M. C. Shaw Metal Cutting Principles , 1960 .

[6]  J. Lemaître,et al.  Engineering Damage Mechanics: Ductile, Creep, Fatigue and Brittle Failures , 2005 .

[7]  Christoph Herrmann,et al.  An Investigation into Fixed Energy Consumption of Machine Tools , 2011 .

[8]  Berend Denkena,et al.  Energy consumption characterization in precision hard machining using CBN cutting tools , 2016 .

[9]  J. Fredrich,et al.  Effect of grain size on brittle and semibrittle strength: Implications for micromechanical modelling of failure in compression , 1990 .

[10]  Chengyong Wang,et al.  Research on the Chip Formation Mechanism during the High-Speed Milling of Hardened Steel , 2014 .

[11]  Jun Zhao,et al.  Damage mechanics analysis of failure mechanisms for ceramic cutting tools in intermittent turning , 2013 .

[12]  Roshun Paurobally,et al.  A review of flank wear prediction methods for tool condition monitoring in a turning process , 2012, The International Journal of Advanced Manufacturing Technology.

[13]  S. Sun,et al.  Evolution of tool wear and its effect on cutting forces during dry machining of Ti-6Al-4V alloy , 2014 .

[14]  Suhas S. Joshi,et al.  An analytical model to predict specific shear energy in high-speed turning of Inconel 718 , 2009 .

[15]  María Henar Miguélez,et al.  Analysis of tool wear patterns in finishing turning of Inconel 718 , 2013 .

[16]  Muammer Nalbant,et al.  Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning , 2007 .

[17]  John M Kemeny,et al.  A MODEL FOR NON-LINEAR ROCK DEFORMATION UNDER COMPRESSION DUE TO SUB- CRITICAL CRACK GROWTH , 1991 .

[18]  Jun Zhao,et al.  Cutting performance and failure mechanisms of an Al2O3/WC/TiC micro- nano-composite ceramic tool , 2010 .

[19]  Xiaobin Cui,et al.  Optimization of geometry parameters for ceramic cutting tools in intermittent turning of hardened steel , 2016 .

[20]  Ahmed A. D. Sarhan,et al.  Novel uses of SiO2 nano-lubrication system in hard turning process of hardened steel AISI4140 for less tool wear, surface roughness and oil consumption , 2014 .

[21]  Jian Zhao,et al.  Micromechanical modelling of the mechanical properties of a granite under dynamic uniaxial compressive loads , 2000 .

[22]  Wit Grzesik,et al.  Influence of tool wear on surface roughness in hard turning using differently shaped ceramic tools , 2008 .

[23]  Guruswami Ravichandran,et al.  A micromechanical model for high strain rate behavior of ceramics , 1995 .

[24]  Xiaowen Wang,et al.  Development of Empirical Models for Surface Roughness Prediction in Finish Turning , 2002 .

[25]  Carmita Camposeco-Negrete,et al.  Optimization of cutting parameters using Response Surface Method for minimizing energy consumption and maximizing cutting quality in turning of AISI 6061 T6 aluminum , 2015 .

[26]  Dong Wang,et al.  Performance optimization for cemented carbide tool in high-speed milling of hardened steel with initial microstructure considered , 2016 .

[27]  S. D. Hallam,et al.  The failure of brittle solids containing small cracks under compressive stress states , 1986 .

[28]  Sia Nemat-Nasser,et al.  A Microcrack Model of Dilatancy in Brittle Materials , 1988 .

[29]  D. Ulutan,et al.  Effects of machining parameters and tool geometry on serrated chip formation, specific forces and energies in orthogonal cutting of nickel-based super alloy Inconel 100 , 2014 .

[30]  Gilles Dessein,et al.  The relationship between the cutting speed, tool wear, and chip formation during Ti-5553 dry cutting , 2015 .

[31]  Wit Grzesik,et al.  Wear development on wiper Al2O3–TiC mixed ceramic tools in hard machining of high strength steel , 2009 .

[32]  Jean Lemaitre,et al.  A Course on Damage Mechanics , 1992 .

[33]  S. Nemat-Nasser,et al.  Brittle failure in compression: splitting faulting and brittle-ductile transition , 1986, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences.