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科学通报  2015 

复杂曲面的测量加工一体化

DOI: 10.1360/N972014-00930, PP. 781-791

Keywords: 测量加工一体化,面形再设计,高性能,复杂曲面,误差补偿

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Abstract:

能源、动力、国防和航空航天等领域的高端装备性能要求高、需求迫切,与此同时也涌现出一大批加工难度大、性能要求苛刻的复杂曲面零件.这些零件往往具有尺寸大、精度高、材料难加工等特点,且多具有透波、传热和密封等性能要求,测量加工一体化技术是实现该类零件高质高效加工的有效途径.本文介绍了复杂曲面测量加工一体化技术的基本内涵和应用方向,围绕数字化寻位、机床加工参数反调修正、面形直接修正加工和面形再设计类零件加工,评述了其有关测量、数据处理、加工基本模型和关键工艺技术方面的研究进展,并展望了测量加工一体化技术在将来可能的应用领域、研究的关键问题和发展方向.

References

[1]  1 Guo D M, Sun Y W, Jia Z Y. Methods and research progress of high performance manufacturing (in Chinese). J Mech Eng, 2014, 50: 119-134 [郭东明, 孙玉文, 贾振元. 高性能精密制造方法及其研究进展. 机械工程学报, 2014, 50: 119-
[2]  2 Bremer C. Adaptive machining technology and data management for automated repair of complex turbine components with focus on blisk repair, http://www.bct-online.de
[3]  3 Ko K H, Maekawa T, Patrikalakis N M. An algorithm for optimal free-form object matching. Comput Aided Des, 2003, 35: 913-923
[4]  4 Chua C S, Jarvis R. 3D free-form surface registration and object recognition. Int J Comput Vision, 1996, 17: 77-99
[5]  5 Sharp G C, Lee S W, Wehe D K. ICP registration using invariant features. IEEE Trans Pattern Anal Mach Intell, 2002, 24: 90-102
[6]  6 Chua C S, Jarvis R. Point signature: A new representation for 3D object recognition. Int J Comput Vision, 1997, 25: 63-85
[7]  7 Yamany S M, Farag A A. Surface signatures: An orientation independent free-form surface representation scheme for the purpose of objects registration and matching. IEEE Trans Pattern Anal Mach Intell, 2002, 24: 1105-1120
[8]  8 Johnson A E, Hebert M. Using spin images for efficient object recognition in cluttered 3D scenes. IEEE Trans Pattern Anal Mach Intell, 1999, 21: 433-449
[9]  9 Barequet G, Sharir M. Partial surface matching by using directed footprints. Comput Geom, 1999, 12: 45-62
[10]  10 Chatelain J F. A level-based optimization algorithm for complex part localization. Precis Eng, 2005, 29: 197-207
[11]  11 Zhu L M, Zhang X M, Ding H, et al. Geometry of signed point-to-surface distance function and its application to surface approximation. J Comput Inf Sci Eng-Trans ASME, 2010, 10: 041003
[12]  12 Sun Y W, Xu J T, Guo D M, et al. A unified localization approach for machining allowance optimization of complex curved surfaces. Precis Eng, 2009, 33: 516-523
[13]  13 Gao D, Wu J F, Yao Y X, et al. An automatic localization algorithm for machining huge workpieces. The 7th International Conference on Manufacturing Research (ICMR09), University of Warwick, UK, 2009
[14]  45 Zhou K, Tang J. Envelope-approximation theory of manufacture technology for point-contact tooth surface on six-axis CNC hypoid generator. Mech Mach Theory, 2011, 46: 806-819
[15]  46 Sun Y W, Wang J, Guo D M, et al. Modeling and numerical simulation for the machining of helical surface profiles on cutting tools. Int J Adv Manuf Technol, 2008, 36: 525-534
[16]  47 Cao X M, Fang Z D, Hao X, et al. Design of pinion machine tool-settings for spiral bevel gears by controlling contact path and transmission errors. Chin J Aeronaut, 2008, 21: 179-186
[17]  48 Tang J Y, Feng Y, Chen X M. The principle of profile modified face-gear grinding based on disk wheel. Mech Mach Theory, 2013, 70: 1-15
[18]  49 Gadelmawla E S. Computer vision algorithms for measurement and inspection of spur gears. Measurement, 2011, 44: 1669-1678
[19]  50 Suh S H, Lee E S, Kim H C, et al. Geometric error measurement of spiral bevel gears using a virtual gear model for STEP-NC. Int J Mach Tools Manuf, 2002, 42: 335-342
[20]  51 Litvin F L, Kuan C, Wang J C, et al. Minimization of deviations of gear real tooth surfaces determined by coordinate measurements. J Mech Design-Trans ASME, 1993, 115: 995-1001
[21]  52 Guo D M. Function-geometry integrated precision machining methods and technologies for high performance workpieces (in Chinese). Eng Sci, 2011, 13: 47-57 [郭东明. 高性能零件的性能与几何参数一体化精密加工方法与技术. 中国工程科学, 2011, 13: 47-
[22]  53 Cho M W, Seo T I. Inspection planning strategy for the on-machine measurement process based on CAD/CAM/CAI integration. Int J Adv Manuf Technol, 2002, 19: 607-617
[23]  54 Yin Z Q, Li S Y, Tian F J. Exact reconstruction method for on-machine measurement of profile. Precis Eng, 2014, 38: 969-978
[24]  55 Li Y D, Gu P H. Free-form surface inspection techniques state of the art review. Comput Aided Design, 2004, 36: 1395-1417
[25]  56 Lin P D, Tzeng C S. Modeling and measurement of active parameters and workpiece home position of a multi-axis machine tool. Int J Mach Tools Manuf, 2008, 48: 338-349
[26]  57 Ko T J, Park J W, Kim H S, et al. On-machine measurement using a noncontact sensor based on a CAD model. Int J Adv Manuf Technol, 2007, 32: 739-746
[27]  58 Lasemi A, Xue D Y, Gu P H. Recent development in CNC machining of freeform surfaces: A state-of-the-art review. Comput Aided Design, 2010, 42: 641-654
[28]  59 Li B, Li F, Liu H Q, et al. A measurement strategy and an error-compensation model for the on-machine laser measurement of large-scale free-form surfaces. Meas Sci Technol, 2014, 25: 015204
[29]  64 Rahman M S, Saleh T, Lim H S, et al. Development of an on-machine profile measurement system in ELID grinding for machining aspheric surface with software compensation. Int J Mach Tools Manuf, 2008, 48: 887-897
[30]  68 Quinsat Y, Tournier C. In situ non-contact measurements of surface roughness. Precis Eng, 2012, 36: 97-103
[31]  69 Persson U. In process measurement of surface roughness using light scattering. Wear, 1998, 215: 54-58
[32]  71 Zhu Y J, Na J X, Pan W Q, et al. Discussions on on-machine measurement of aspheric lens-mold surface. Optik, 2013, 124: 4406-4411
[33]  73 Jia Z Y, Wang Y Q, Wang F J, et al. Research on measure-redesign-machining integration manufacturing method for complicated surface parts with high performance (in Chinese). J Mech Eng, 2013, 49: 126-132 [贾振元, 王永青, 王福吉, 等. 高性能复杂曲面零件测量-再设计-数字加工一体化加工方法. 机械工程学报, 2013, 49: 126-
[34]  67 Wu Y L, Hu X J, Dai Y F, et al. In-situ surface measurement for large aperture optical mirror based on phase retrieval technology. J Mech Eng (in Chinese), 2009, 45: 157-163 [吴宇列, 胡晓军, 戴一帆, 等. 基于相位恢复技术的大型光学镜面面形在位检测技术研究. 机械工程学报, 2009, 45: 157-
[35]  70 Tian G Y, Lu R S. Hybrid vision system for online measurement of surface rough-ness. J Opt Soc Am A, 2006, 23: 3072-3079
[36]  72 Lin D, Jiang X, Xie F, et al. High stability multiplexed fibre interferometer and its application on absolute displacement measurement and on-line surface metrology. Opt Express, 2004, 23: 5729-5734
[37]  74 Zhang C B, Guo D M, Sun Y W, et al. Inverse solution for electric thickness of radome from given boresight error. J Inf Comput Sci, 2006, 3: 605-611
[38]  75 Klocke F, Willms H. Methodology to describe the influence of manufacturing processes on the part functionality. Prod Eng, 2007, 1: 163-168
[39]  14 Bagci E. Reverse engineering applications for recovery of broken or worn parts and re-manufacturing: Three case studies. Adv Eng Softw, 2009, 40: 407-418
[40]  15 Bao Y R, Xu J T, Sun Y W. A surface reconstruction strategy based on deformable template for repairing damaged turbine blades. Proc Inst Mech Eng Part G-J Aerosp Eng, 2014, 228: 2358-2370
[41]  16 Ulutan D, Ozel T. Machining induced surface integrity in titanium and nickel alloys: A review. Int J Mach Tools Manuf, 2011, 51: 250-280
[42]  17 Dimla E. Sensor signals for tool-wear monitoring in metal cutting operations—A review of methods. Int J Mach Tools Manuf, 2000, 40: 1073-1098
[43]  18 Tansel I N, Li M, Demetgul M, et al. Detecting chatter and estimating wear from the torque of end milling signals by using index based reasoner (IBR). Int J Adv Manuf Technol, 2012, 58: 109-118
[44]  19 Sevilla-Camacho P Y, Herrera-Ruiz G, Robles-Ocampo J B. Tool breakage detection in CNC high-speed milling based in feed-motor current signals. Int J Adv Manuf Technol, 2011, 53: 1141-1148
[45]  20 Zhang C, Zhang J L. On-line tool wear measurement for ball-end milling cutter based on machine vision. Comput Ind, 2013, 64: 708-719
[46]  21 Houshmand A A, Kannatey-Asibu Jr E. Statistical process control of acoustic emission for cutting tool monitoring. Mech Syst Signal Proc, 1989, 3: 405-425
[47]  22 Szecsi T. Automatic cutting-tool condition monitoring on CNC lathes. J Mater Process Tech, 1998, 77: 64-69
[48]  23 Jemielniak K, Bombinski S, Aristimuno P. Tool condition monitoring in micromilling based on hierarchical integration of signal measures. CIRP Ann-Manuf Techn, 2008, 57: 121-124
[49]  24 Tugrulo Z, Abhijit N. Prediction of flank wear by using back propagation neural network modeling when cutting hardened H13 steel with chamfered and honed CBN tools. Int J Mach Tools Manuf, 2002, 42: 287-297
[50]  25 Ghosha N, Ravib Y B, Patrac A. Estimation of tool wear during CNC milling using neural network-based sensor fusion. Mech Syst Signal Proc, 2007, 21: 466-479
[51]  26 Yao Z H, Mei D Q, Chen Z C. On-line chatter detection and identification based on wavelet and support vector machine. J Mater Process Tech, 2010, 210: 713-719
[52]  27 Kalvoda T, Hwang Y R. A cutter tool monitoring in machining process using Hilbert-Huang transform. Int J Mach Tools Manuf, 2010, 50: 495-501
[53]  28 Pal S, Heyns P S, Freyer B H, et al. Tool wear monitoring and selection of optimum cutting conditions with progressive tool wear effect and input uncertainties. J Intell Manuf, 2011, 22: 491-504
[54]  29 Cao H R, Chen X F, Zi Y Y, et al. End milling tool breakage detection using lifting scheme and Mahalanobis distance. Int J Mach Tools Manuf, 2008, 48: 141-151
[55]  30 Klocke F, Gierlings S, Adams O, et al. New concepts of force measurement systems for specific machining processes in aeronautic industry. Procedia CIRP, 2012, 1: 552-557
[56]  31 Longbottom J M, Lanham J D. Cutting temperature measurement while machining—A review. Aircr Eng Aerosp Tec, 2005, 77: 122-130
[57]  32 Davoodi B, Hosseinzadeh H. A new method for heat measurement during high speed machining. Measurement, 2012, 45: 2135-2140
[58]  33 Hao Z P, Lu Y, Gao D, et al. Cutting parameter optimization based on optimal cutting temperature in machining inconel718. Mater Manuf Process, 2012, 27: 1084-1089
[59]  34 Henderson A, Bunget C, Kurfess T R. Integration of on-machine measurements in the force modeling for machining of advanced nickel- based superalloys. Proceedings of the ASME/ISCIE 2012 International Symposium on Flexible Automation ISFA2012, 2012. 561-567
[60]  35 Richardson B J, Bunget C, Kurfess T R. A statistically based determination of the depth of the machining affected zone in nickel-based superalloys using MATLAB. ASME 2010 International Manufacturing Science and Engineering Conference, 2010. 287-290
[61]  36 Merdol S D, Altintas Y. Multi frequency solution of chatter stability for low immersion milling. J Manuf Sci Eng-Trans ASME, 2004, 126: 459-466
[62]  37 Insperger T, Stepan G. Semi-discretization method for delayed systems. Int J Numer Meth Eng, 2002, 55: 503-518
[63]  38 Ding Y, Zhu L, Zhang X, et al. A full-discretization method for prediction of milling stability. Int J Mach Tools Manuf, 2010, 50: 502-509
[64]  39 Guo Q, Sun Y W, Jiang Y, et al. Prediction of stability limit for multi-regenerative chatter in high performance milling. Int J Dyn Control, 2014, 2: 35-45
[65]  40 Quintana G, Ciuran J. Chatter in machining processes: A review. Int J Mach Tools Manuf, 2011, 51: 363-376
[66]  41 LuizPolli M, Weingaertner W L, Bertr R, et al. Analysis of high-speed milling dynamic stability through sound pressure, machining force and tool displacement measurements. Proc Inst Mech Eng Part B-J Eng, 2014, 226: 1774-1783
[67]  42 Kuljanic E, Sortino M, Totis G. Multi sensor approaches for chatter detection in milling. J Sound Vib, 2008, 312: 672-693
[68]  43 Tansel I N, Wagiman A, Tziranis A. Recognition of chatter with neural networks. Int J Mach Tools Manuf, 1991, 31: 539-552
[69]  44 Lamraoui M, Thomas M, Badaoui M E, et al. Indicators for monitoring chatter in milling based on instantaneous angular speeds. Mech Syst Signal Proc, 2014, 44: 72-85
[70]  60 Cho M W, Kim G H, Seo T, et al. Integrated machining error compensation method using OMM data and modified PNN algorithm. Int J Mach Tools Manuf, 2006, 46: 1417-1427
[71]  61 Guiassa R, Mayer J R R, Balazinski M, et al. Closed door machining error compensation of complex surfaces using the cutting compliance coefficient and on-machine measurement for a milling process. Int J Comput Integr Manuf, 2014, 27: 1022-1030
[72]  62 Kondo Y, Hasegawa K, Kawamata H, et al. On-machine non-contact dimension-measurement system with laser displacement sensor for vane-tip machining of RFQs. Nucl Instrum Meth A, 2012, 667: 5-10
[73]  63 Kwon Y J, Tseng T L, Ertekin Y. Characterization of closed-loop measurement accuracy in precision CNC milling. Robot Cim-Int Manuf, 2006, 22: 288-296
[74]  65 Kong L B, Cheung C F. Design, fabrication and measurement of ultra-precision micro-structured freeform surfaces. Comput Ind Eng, 2011, 61: 216-225
[75]  66 Kim H S, Lee K, Lee K M, et al. Fabrication of free-form surfaces using a long-stroke fast tool servo and corrective figuring with on-machine measurement. Int J Mach Tools Manuf, 2009, 49: 991-997

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