Modeling flatness deviation in face milling considering angular movement of the machine tool system components and tool flank wear

Simunovic, 2013, Predicting the surface quality of face milled aluminium alloy using a multiple regression model and numerical optimization, Meas Sci Rev, 13, 265, 10.2478/msr-2013-0039 Pimenov, 2014, Experimental research of face mill wear effect to flat surface roughness, J Frict Wear, 35, 250, 10.3103/S1068366614030118 Wojciechowski, 2017, Optimisation of machining parameters during ball end milling of hardened steel with various surface inclinations, Measurement, 111, 18, 10.1016/j.measurement.2017.07.020 Pimenov, 2018, Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth, J Intell Manuf, 29, 1045, 10.1007/s10845-017-1381-8 Wojciechowski, 2018, Application of signal to noise ratio and grey relational analysis to minimize forces and vibrations during precise ball end milling, Precis Eng, 51, 582, 10.1016/j.precisioneng.2017.10.014 Baro, 2005, Modeling of cutting forces in a face-milling operation with self-propelled round insert milling cutter, Int J Mach Tool Manufact, 45, 831, 10.1016/j.ijmachtools.2004.11.008 Totis, 2010, Development of a dynamometer for measuring individual cutting edge forces in face milling, Mech Syst Signal Process, 24, 1844, 10.1016/j.ymssp.2010.02.010 Guzeev, 2011, Cutting force in face milling with tool wear, Russ Eng Res, 31, 989, 10.3103/S1068798X11090139 Mia, 2017, Optimization of MQL flow rate for minimum cutting force and surface roughness in end milling of hardened steel (HRC 40), Int J Adv Manuf Technol, 89, 675, 10.1007/s00170-016-9080-8 Bashir, 2018, Investigations on surface milling of hardened AISI 4140 steel with pulse jet MQL applicator, J Inst Eng India Ser C, 99, 301, 10.1007/s40032-016-0277-2 Schmitz, 2006, Closed-form solutions for surface location error in milling, Int J Mach Tool Manufact, 46, 1369, 10.1016/j.ijmachtools.2005.10.007 Kivanc, 2004, Structural modeling of end mills for form error and stability analysis, Int J Mach Tool Manufact, 44, 1151, 10.1016/j.ijmachtools.2004.04.002 Budak, 1998, Analytical prediction of chatter stability in milling—part II: application of the general formulation to common milling systems, J Dyn Syst Meas Contr Trans ASME, 120, 31, 10.1115/1.2801318 Lin, 1995, Force-based model for tool wear monitoring in face milling, Int J Mach Tool Manufact, 35, 1201, 10.1016/0890-6955(94)00115-Z Andersson, 2011, Experimental studies of cutting force variation in face milling, Int J Mach Tool Manufact, 51, 67, 10.1016/j.ijmachtools.2010.09.004 Pimenov, 2011, Elastic displacement of a technological system in face milling with tool wear, Russ Eng Res, 31, 1105, 10.3103/S1068798X11110219 Pimenov, 2017, A study of the influence of processing parameters and tool wear on elastic displacements of the technological system under face milling, Int J Adv Manuf Technol, 92, 4473, 10.1007/s00170-017-0516-6 D'Addona, 2011, ANN tool wear modelling in the machining of nickel superalloy industrial products, CIRP J Manuf Sci Technol, 4, 33, 10.1016/j.cirpj.2011.07.003 Mikołajczyk, 2017, Neural network approach for automatic image analysis of cutting edge wear, Mech Syst Signal Process, 88, 100, 10.1016/j.ymssp.2016.11.026 Machado, 2017, Tool wear analysis in the machining of hardened steels, Int J Adv Manuf Technol, 92, 4095, 10.1007/s00170-017-0455-2 Mikołajczyk, 2018, Predicting tool life in turning operations using neural networks and image processing, Mech Syst Signal Process, 104, 503, 10.1016/j.ymssp.2017.11.022 Denkena, 2013, Modeling of workpiece shape deviations in face milling of parallel workpiece compounds, Procedia CIRP, 8, 176, 10.1016/j.procir.2013.06.085 Denkena, 2015, Workpiece shape deviations in face milling of hybrid structures, Mater Sci Forum, 825–826, 336, 10.4028/www.scientific.net/MSF.825-826.336 Denkena, 2015, Influence of the cutting tool compliance on the workpiece surface shape in face milling of workpiece compounds, Procedia CIRP, 31, 7, 10.1016/j.procir.2015.03.074 Islam, 2017, Effects of internal cooling by cryogenic on the machinability of hardened steel, Int J Adv Manuf Technol, 90, 11, 10.1007/s00170-016-9373-y Badar, 2005, Experimental verification of manufacturing error pattern and its utilization in form tolerance sampling, Int J Mach Tool Manufact, 45, 63, 10.1016/j.ijmachtools.2004.06.017 Hadad, 2016, Modeling and analysis of a novel approach in machining and structuring of flat surfaces using face milling process, Int J Mach Tool Manufact, 105, 32, 10.1016/j.ijmachtools.2016.03.005 Huang, 2001, Optimization of fixture design with consideration of thermal deformation in face milling, J Manuf Syst, 19, 332, 10.1016/S0278-6125(01)89005-1 Wu, 2008, Investigation of the effects of face-milling parameters of ultra-large-scale plane on milling quality, Int J Adv Manuf Technol, 37, 241, 10.1007/s00170-007-0976-1 Tai, 2012, Surface variation reduction for face milling based on high- definition metrology, 1 Tai, 2011, Improvement of surface flatness in face milling based on 3-D holographic laser metrology, Int J Mach Tool Manufact, 51, 483, 10.1016/j.ijmachtools.2011.02.006 Tai, 2009, Improvement of surface flatness in face milling by varying the tool cutting depth and feed rate, 1 Suárez, 2016, Effects of ultrasonics-assisted face milling on surface integrity and fatigue life of Ni-Alloy 718, J Mater Eng Perform, 25, 5076, 10.1007/s11665-016-2343-6 Yi, 2014, Effect of different machining parameters on time-dependent flatness, Appl Mech Mater, 670–671, 502, 10.4028/www.scientific.net/AMM.670-671.502 Kaldestad, 2015, Robotic face milling path correction and vibration reduction, 543 Tyapin, 2015, Off-line path correction of robotic face milling using static tool force and robot stiffness, 5506 Yi, 2015, Error compensation of thin plate-shape part with prebending method in face milling, Chin J Mech Eng, 28, 88, 10.3901/CJME.2014.1120.171 Yi, 2014, The influence of stretched fixation on face milling-machined 6061T6 aluminum alloy, Key Eng Mater, 589–590, 264 Sheth, 2016, Experimental investigation and prediction of flatness and surface roughness during face milling operation of WCB material, Procedia Technol, 23, 344, 10.1016/j.protcy.2016.03.036 Li, 2018, Surface form error prediction in five-axis flank milling of thin-walled parts, Int J Mach Tool Manufact, 128, 21, 10.1016/j.ijmachtools.2018.01.005 Nguyen, 2014, High-definition metrology enabled surface variation control by reducing cutter-spindle deflection, 1 Nguyen, 2015, High-Definition metrology enabled surface variation control by cutting load balancing 1, J Manuf Sci Eng, 138, 21010, 10.1115/1.4030782 Gu, 2014, Approaches for improving surface flatness for face milling, Trans North Am Manuf Res Inst SME, 42, 542 Gu, 1997, A model for the prediction of surface flatness in face milling, J Manuf Sci Eng, 119, 476, 10.1115/1.2831177 Liu, 2011, Machined surface error analysis - a face milling approach, J Adv Manuf Syst, 10, 293, 10.1142/S0219686711002211 Nadolny, 2014, Analysis of flatness deviations for austenitic stainless steel workpieces after efficient surface machining, Meas Sci Rev, 14, 204, 10.2478/msr-2014-0028 Dobrzynski, 2018, The effect of alternative cutter paths on flatness deviations in the face milling of aluminum plate parts, J Mach Eng, 18, 80 Nguyen, 2014, Modeling cutter tilt and cutter-spindle stiffness for machine condition monitoring in face milling using high-definition surface metrology, Int J Adv Manuf Technol, 70, 1323, 10.1007/s00170-013-5347-5 Varga, 2017, Effects of technological parameters on surface characteristics in face milling, Solid State Phenom, 261, 285, 10.4028/www.scientific.net/SSP.261.285 Rybicki, 2010, Form deviations of hot work tool steel 55NiCrMoV (52HRC) after face finish milling, Int J Mach Mach Mater, 7, 194 Pimenov, 2017, Mathematical model of plowing forces to account for flank wear using FME modeling for orthogonal cutting scheme, Int J Adv Manuf Technol, 89, 3149, 10.1007/s00170-016-9216-x Guzeev, 2005 Pimenov, 2011, Influence of cutting conditions on the stress at tool's rear surface, Russ Eng Res, 31, 1151, 10.3103/S1068798X11110207 D’yakonov, 2012, Improvement of grinding speeds by assessing the machinability of materials, Russ Eng Res, 32, 604, 10.3103/S1068798X12060068