YAG激光毛化轧辊微坑分布的评价及加工技术研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
钢板是应用最广泛的钢材,其中毛化板因特殊的表面形貌使其具有优良的冲压性能和涂镀性能,是汽车工业、家电产业等行业的重要原料。毛化板由毛化轧辊复制而来。轧辊毛化技术就是对磨光轧辊进行毛化,使其表面具有特殊形貌的技术,它是生产毛化板的必备技术。目前工业上得到规模化推广应用的比较先进的轧辊毛化技术是电火花毛化和激光毛化。
     激光毛化板因其微坑彼此孤立的特殊形貌使其具有比电火花毛化板更优良的冲压和涂镀性能。然而,传统的激光毛化因微坑是一维可控的规则分布,使激光毛化板的延伸率和外观质量等方面的各向均匀性不如电火花毛化板,影响了综合性能。毛化轧辊较理想的微坑分布形式是近似各向均匀的无规则分布。
     本课题的研究目的就是通过研究YAG激光毛化轧辊近似各向均匀无规则分布微坑的加工技术克服或改善现有激光毛化技术的缺点,提高激光毛化板的综合性能。
     为了研究表面粗糙度分布的均匀性,本文首先提出了一种表面粗糙度分布的评价方法。提出了三维幅度参数SRa(区域方向性算术平均偏差)、SRq(区域方向性均方根偏差)、SRsk(区域方向性偏斜度)、SRku(区域方向性陡度),建立了相应的区域评价指标、方向评价指标和整体评价指标,为研究表面粗糙度与评价区域、评价方向的定量关系提供了一种依据,为评价幅度参数相对区域、方向和整体的分布提供了一种标准。区域变异系数最小可作为单一评价方向幅度参数分布的区域均匀性评价标准;方向变异系数最小可作为单一评价区域幅度参数分布的方向均匀性评价标准;整体变异系数最小可作为所有评价区域的所有评价方向的幅度参数分布的整体均匀性评价标准。
     依据方向均匀性评价标准研究了近似各向均匀无规则分布微坑图像设计方法。提出了规则图形排列区域置乱(包括正方形网格排列区域置乱、正方形交错排列区域置乱和正六边形排列区域置乱)、最小间距与最小间距区域置乱等近似各向均匀无规则分布微坑图像设计方法,获得了相应的微坑图像,为在轧辊表面加工多种近似各向均匀无规则分布微坑提供了原始数据。
     研究了二维可控无规则分布微坑的加工方法。提出了局部位移法(包括无规则延时法和无规则偏转法)与图像法(包括开关法、位移法、开关位移法和开关延时法)等二维可控无规则分布微坑加工方法,为在轧辊表面高效加工多种近似各向均匀无规则分布微坑提供了合适的技术手段。
     最后,本文研制了基于二维可控无规则分布微坑加工方法的YAG激光毛化轧辊加工系统,开展了YAG激光毛化技术的应用研究。将多种近似各向均匀无规则分布微坑图像成功加工在轧辊表面,实现了预期的目的;将YAG激光毛化技术成功应用于陶瓷网纹辊的激光雕刻,填补了国内空白;还将YAG激光毛化技术成功应用于内燃机缸套内壁激光微造形。与机械珩磨相比,激光刻蚀在降低摩擦系数、减少磨损量方面效果显著。
     本文提出的表面粗糙度区域方向性幅度参数及其评价指标具有通用性,可用于一般表面粗糙度分布的研究。
     国家重点科技攻关项目——“冷轧薄钢板激光毛化”的主要目标是开发汽车外覆件用激光毛化板,要解决的一个重要问题是提高激光毛化板的各向均匀性,关键之一是提高激光毛化板微坑分布的各向均匀性。本课题在将毛化板替代进口用于汽车外覆件方面具有重要意义。本课题的应用将为国家节约大量外汇,为企业创造很好的经济效益。
Steel plate is the most widely used steel products. Texturing sheet, a kind of steelplate, is an important raw material in industries of the automobile, household appliances,etc. It has excellent stamping performance and coating properties due to its specialsurface morphology. It is copied by texturing roll. Roll texturing technology is atechnology which can make burnished roll textured, so the surface of the roll can havespecial surface morphology. This technology is an absolutely necessary technology toproduce texturing sheet. Presently, electrical discharge texturing(EDT) and lasertexturing(LT) are the two kinds of advanced roll texturing technologies which have beenlarge-scale applied in industry.
     LT steel plate has more excellent stamping performance and coating propertiesthan EDT, because the micro-pits have special surface morphology of isolating eachother by LT. However, because micro-pits are distributed under1D controllable andregular in traditional LT, the isotropic properties of LT steel plate in elongation andappearance quality are worse than EDT, thus lower the comprehensive performance ofLT texturing sheets. The perfect distributed form of micro-pits on texturing rolls isapproximate isotropic and irregular distribution.
     The study objective of the thesis is to overcome the disadvantages of the existingLT by studying the processing technologies of YAG texturing sheet which micro-pitsare approximate isotropic and irregular distribution. Thus the comprehensiveperformance of YAG texturing sheets can be improved.
     To study the uniformity of the distribution of surface roughness, the thesis comesup with an evaluation method on the distribution of surface roughness first. The thesisdefines3D height amplitudes of the surface include SRa(area-directional surfacearithmetic mean deviation), SRq(area-directional surface root mean square deviation),SRsk(area-directional surface skewness) and SRku(area-directional surface kurtosis).The thesis also establishes relative assessed area indexes, assessed direction indexes andassessed total indexes. These indexes provide a foundation for studying the quantitativerelation among surface roughness, assessed area and assessed direction. These indexesalso provide a standard for assessing the distribution of the height amplitudes based onarea, direction and total respectively. The minimum of area CV(coefficient of variation)can be used as evaluation criteria of the area-uniformity of the distribution situation onheight amplitudes in a single assessed direction. The minimum of directional CV can beused as evaluation criteria of the direction-uniformity of the distribution situation onheight amplitudes in a single assessed area. The minimum of total CV can be used asevaluation criteria of the uniformity of the total distribution situation on heightamplitudes in all assessed directions of all assessed areae.
     According to evaluation criteria of the direction-uniformity of the distributionsituation on height amplitudes in a single assessed area, the thesis studies the image design methods of micro-pits with approximate direction-uniformity disordereddistribution. The thesis comes up with some methods: area scrambling micro-pits imagedesign methods based on regular graphics arrangement(include square area scramblingmicro-pits image design methods based on square-aligned-array arrangement andsquare-staggered-array arrangement, and area scrambling micro-pits image designmethod based on equilateral hexagon-array arrangement), minimum interval micro-pitsimage design method, and minimum interval area scrambling micro-pits image designmethod, and acquires relative micro-pits images which provide raw data for processingvarious micro-pits with approximate direction-uniformity disordered distribution onrolls.
     The thesis studies processing methods for micro-pits with2D controllabledisordered distribution. The thesis comes up with some processing methods formicro-pits with2D controllable disordered distribution including local displacementmethods(including disordered delay method and disordered deflection method) andimage methods(including switch method, displacement method, switch-displacementmethod and switch-delay method). These methods provide proper technical means forprocessing more efficiently various micro-pits with approximate direction-uniformitydisordered distribution on rolls.
     Finally, the thesis develops a processing system of YAG laser texturing rolls basedon processing methods for micro-pits with2D controllable disordered distribution, andstudies the application of YAG laser texturing technology. The images of micro-pitswith approximate direction-uniformity disordered distribution are processedsuccessfully on the surface of rolls, thus expected goal are reached. YAG laser texturingtechnology is successfully applied on laser engraving of ceramic anilox rolls, thus thedomestic blank is filled. YAG laser texturing technology is also successfully applied onlaser micro-machining of the cylinder sleeve in an internal combustion engine.Compared with mechanical grinding, laser etching has remarkable effect on reducingcoefficient of friction and reducing the amount of wear.
     Height amplitudes of surface roughness based on area-direction character and theirassessed indexes proposed by the thesis are universal. They can be used to study thedistribution on general surface roughness.
     The main goal of laser texturing of cold steel sheet, the national key scientific andtechnological project, is to develop laser texturing sheet used on automobile outercladding parts. Its important problem is to improve isotropic character of laser texturingsheet. One of the key is to improve the isotropic character of the distribution ofmicro-pits on laser texturing sheet. The application of the subject will save a largeamount of foreign exchange for the country, and create good economic benefits forenterprises.
引文
[1]陈国强.基于GPS标准体系的表面微观形貌三维表征研究[D].南京:南京农业大学,2007:3.
    [2]李志强.表面微观形貌的测量及其表征[D].重庆:重庆大学,2006:3.
    [3]林子光.激光毛化与摩擦学设计[J].机械设计,2000,18(4):24-27,51.
    [4]冯嫦杰.表面相互作用下表面形貌表征及微造型表面润滑分析[D].合肥:合肥工业大学,2008:1.
    [5]王政平,张锡芳,张艳娥.表面粗糙度光学测量方法研究进展[J].传感器与微系统,2007,29(9):4-6.
    [6] Bariani P,Chiffre L D,Hansen H N,et al. Investigation on the Traceability ofThree Dimensional Scanning Electron Microscope Measurements Based on theStereo-pair Technique[J]. Precision Engineering,2005,(29):219-228.
    [7] Kuo C C,Chao C S. Rapid Optical Measurement of Surface Roughness ofPolycrystalline Thin Films[J]. Optics and Lasers in Engineering,2010,48(12):1166-1169.
    [8] Tian G Y,Lu R S,Gledhill D. Surface Measurement Using Active Vision andLight Scattering[J]. Optics and Lasers in Engineering,2007,45(1):131-139.
    [9] Lu R, K F A.3D Surface Topography from the Specular Lobe of ScatteredLight[J]. Optics and Lasers in Engineering,2007,45(10):1018-1027.
    [10] Zhao X,Gao Z. Surface Roughness Measurement Using Spatial-average Analysisof Objective Speckle Pattern in Specular Direction[J]. Optics and Lasers inEngineering,2009,47(11):1307-1316.
    [11] Berglund J,Rosén B G. A method development for correlation of surface finishappearance of die surfaces and roughness measurement data[J]. Tribology Letters,2009,36(2):157-164.
    [12]吴建昌.表面粗糙度测量技术综述[J].天津职业大学学报,2008,17(5):76-78.
    [13]陈继涛.表面粗糙度检测方法发展史及研究现状概述[J].中国科技信息,2007,(17):305-306.
    [14] Myshkin N K,Grigoriev A Y,Chizhik S A,et al. Surface Roughness and TextureAnalysis in Microscale[J]. Wear,2003,254:1001-1009.
    [15] Gadelmawla E S,Koura M M. Roughness Parameters[J]. Journel of MaterialsProcessing Technology,2002,123:133-145.
    [16] Demkin V N,Stepanov V A. Measurement of Surface Roughness Profile by aTriangulation Method[J]. Measurement Techniques,2008,51(6):614-617.
    [17] Forouzbakhsh F,Gatabi R J,Gatabi I R. A New Measurement Method forUltrasonic Surface Roughness Measurements[J]. Measurement:Journal of theInternational Measurement Confederation,2009,42(5):702-705.
    [18] Canabarro A,Figueiredo F,Paciornik S,et al. Two-and Three-DimensionalProfilometer Assessments to Determine Titanium Roughness[J]. Scanning,2009,31(4):177-179.
    [19] Nemoto K,Yanagi K,Aketagawa M,et al. Development of a roughnessmeasurement standard with irregular surface topography for improving3D surfacetexture measurement[J]. Measurement Science and Technology,2009,20(8):12-15.
    [20]李伯奎,刘远伟.表面粗糙度理论发展研究[J].工具技术,2004,38(1):63-67.
    [21] Dong W P,Mainsah E,Stout K J. Reference Planes for the Assessment of SurfaceRoughness in Three Dimensions[J]. Int. J. Mach. Tools Manufact,1995,35(2):263-272.
    [22] Lonardc P M,Trumpold H,Chiffre L D. Progress in3-D Surface MicrotopographyCharacterization[J]. Annals of the CPP,1996,45(2):589-597.
    [23] Teague E C,Scire F E. Three-dimension Stylus Profilometry[J]. Wear,1982,83(1):1-12.
    [24] Hu Z X,Zhu L,Teng J X,et al. Evaluation of Three-dimensional SurfaceRoughness Parameters Based on Digital Image Processing[J]. International Journalof Advanced Manufacturing Technology,2009,40(3-4):342-348.
    [25] Fujii A,Suzuki H,Yanagi K. Development of measurement standards for verifyingfunctional performance of surface texture measuring instruments[C]. Journal ofPhysics:13th International Conference on Metrology and Properties ofEngineering Surfaces,Conference Series,2011,311(1):23-26.
    [26] Podgornik B,Jerina J.Surface topography effect on galling resistance of coated anduncoated tool steel[J]. Surface and Coatings Technology,2012,206(11-12):2792-2800.
    [27] Podgornik B,Hogmark S,Sandberg O. Influence of surface roughness and coatingtype on the galling properties of coated forming tool steel[J]. Surface and CoatingsTechnology,2004,184:338-348.
    [28] D'Angelo P, W hler C.3D surface reconstruction by combination ofphotopolarimetry and depth from defocus[C]. Lecture Notes in Computer Science:27th DAGM Symposium: Proceedings,2005,3663:176-183.
    [29]张志航.微细电火花线切割表面三维形貌及功能评价研究[D].哈尔滨:哈尔滨工程大学,2009:8-13.
    [30]吴春颖,曹泽新,张春杰,等. LD泵浦Nd:YAG激光毛化轧辊粗糙度的模拟分析[J].沈阳师范大学学报(自然科学版),2011,29(2):185-188.
    [31]张俊嵩,张琳娜,赵凤霞.基于GPS操作算子技术的表面粗糙度评定方法[J].工具技术,2008,42(5):78-82.
    [32]郭三刺,张琳娜,赵凤霞.新一代GPS操作技术在纳米粗糙度评定中的应用[J].制造技术与机床,2008,(1):32-35.
    [33]陈自新,黄仁,史金飞,等.一种基于阈值的粗糙度评定新方法[J].中国机械工程,2008,19(24):2922-2925.
    [34]李成贵,董申.三维表面微观形貌的表征趋势[J].中国机械工程,2000,11(5):488-492.
    [35]吴松.三维表面形貌的评价技术及其应用基础研究[D].南京:南京航空航天大学,2007:3-5.
    [36]李成贵,李艳宁,刘杰,等.表面粗糙度的表征参数分析[J].实用测试技术,1997,(6):27-32,18.
    [37]周海,刘岚岚,赵熙萍.表面粗糙度新国标的评价参数及其应用[J].机械工程师,2003,(8):83-85.
    [38]杨培中,蒋寿伟.表面粗糙度三维评价的研究[J].机械设计与研究,2002,18(2):64-68.
    [39]李成贵,董申.三维表面微观形貌的表征参数和方法[J].宇航计测技术,1999,19(6):33-43.
    [40] Torng J,Jywe W,Chou R C,et al.3-D measurement and evaluation of surfacetexture produced by scraping process[J]. Measurement: Journal of the InternationalMeasurement Confederation,2012,45(3):384-392.
    [41] Dong W P,Sulivan P J,Stout K J. Comprehensive Study of Parameters forCharacterizing Three-dimensional Surface Topography I:Some Inherent Propertiesof Parameter Variation[J]. Wear,1992,159:161-171.
    [42] Dong W P,Sulivan P J,Stout K J. Comprehensive Study of Parameters forCharacterizing Three-dimensional Surface Topography II:Statistical Properties ofParameter Variation[J]. Wear,1993,167:9-21.
    [43] Dong W P,Sulivan P J,Stout K J. Comprehensive Study of Parameters forCharacterizing Three-dimensional Surface Topography III: Parameters forCharacterizing Amplitude and Some Functional Properties[J]. Wear,1994,178:29-43.
    [44] Dong W P,Sulivan P J,Stout K J. Comprehensive Study of Parameters forCharacterizing Three-dimensional Surface Topography IV: Parameters forCharacterizing Spatial and Hybrid Properties[J]. Wear,1994,178:45-60.
    [45] Brown C A,Johnsen W A,Butland R M. Scale-sensitive Fractal Analysis of TurnedSurfaces[J]. Annals of the CIRP,1996,45(1):515-518.
    [46] Brown C A,Charies P D,Johnsen W A,et al. Fractal Analysis of Topographic Databy the Patchwork Method[J]. Wear,1993,161:61-67.
    [47] Majumdar A,Bhushan B. Fractal Model of Elastic-plastic Contact Between RoughSurfaces[J]. ASME J. Tribol,1991,113(1):1-11.
    [48] Zhou G,Leu M C. Fractal Geometry Model for Wear Prediction[J]. Wear,1993,170:1-14.
    [49] Dietzsch M,Papenfu K,Hsrtmann T. The Motif-method–a Suitable Deserriptionfor Functional Manufactural and Metrological Requirements[J]. Int J Mach ToolsManufact,1998,(38):625-632.
    [50] Barré F,Lopez J,Lines W,et al. A New3D-MOTIF Method[J]. Int. J. Mach.Tools Manufact,2000,40(8):1171-1184.
    [51]彭林华. YAG脉冲激光毛化钢板的性能和YAG脉冲激光表面涂覆的研究[D].北京:中国科学院力学研究所,1997:33.
    [52] Ersin K,Hasan O,Fikret H,et al. Measurement of Surface Roughness of MetalsUsing Binary Speckle Image Analysis[J]. Tribology International,2010,43(1-2):307-311.
    [53]李成贵.分形理论在表面粗糙度表征和评价中的应用研究[D].天津:天津大学,1997:44-50.
    [54]赵福令,郭剑鹰.特种工艺在毛化技术中的应用[J].电加工,1998,(2):4-9.
    [55]曹国辉,赵万生,王振龙,等.冷轧辊毛化技术的对比研究[J].电加工与模具,2002,(4):1-5.
    [56](德)walte zimnik等,孙以容译.精细毛化——一种生产毛化钢板的新方法[J].世界钢铁,1999,(3):44-47.
    [57] Oktay E. A Study on the Characteristics of Electrical Discharge Textured SkinPassMill Work Roll[J]. Surface&Coating Technology,2008(202):2765-2774.
    [58] Kim S,Kim M,Jeon E. A Study on the Characteristics of Electro-dischargeTexturing for Temper Mill Work Roll[J]. KSME International Journal,1998,12(1):153-159.
    [59]郭剑鹰,李春宝,赵福令等.电火花毛化技术的实验研究[J].电加工,1998,(4):17-20.
    [60]王西昌,巩水利,郭恩明,等.电子束“毛化”技术及其在复合材料制造领域中的应用[J].制造技术,2009,(增刊):53-55.
    [61] Li Z Y,Yang M J,Liu W J,et al. Investigation on Crater Morphology by HighRepetitive Rate YAG Laser-induced Discharge Texturing[J]. Surface and CoatingsTechnology,2006,200(14-15):4493-4499.
    [62] Li Z Y,Yang M J,Zhong M L,et al. Investigation on Depth of Heat affected Zoneof Discharge Spot by High Repetitive Rate YAG Laser-induced DischargeTexturing[J]. Surface Review and Letters,2006,13(4):403-411.
    [63]占剑,杨明江. YAG激光诱导放电复合毛化坑形貌研究[J].应用激光,2007,27(2):85-87.
    [64]赖鹏,张庆茂.激光毛化技术的评述与展望[J].激光与光电子学进展,2009,(4):53-59.
    [65] Wang Z T,Yang M J. Laser-guided discharge texturing for cold mill roller[J].Journal of Materials Processing Technology,2011,211(11):1678-1683.
    [66]周乐,陈培锋,王英.多棱镜扫描分光多头激光毛化技术研究与实践[J].中国激光,2009,36(1):210-215.
    [67]周乐,陈培锋,王英.多棱镜扫描分光多头激光毛化圆形毛化点分析[J].激光技术,2009,33(6):607-210.
    [68]陈光南.激光毛化轧辊技术的特色与进展[J].力学与实践,2011,33(5):79-85.
    [69] Vilhena L M,Sedlacek M,Podgornik B. Surface texturing by pulsed Nd:YAGlaser[J]. Tribology International,2009,(42):1496-1504.
    [70] Vilhena L M,Sedlacek M,Podgornik B,et al. Surface Texturing by PulsedNd:YAG Laser[J]. Tribology International,2009,42(10):1496-1504.
    [71] Wan Y,Xiong D S. The Effect of Laser Surface Texturing on FrictionalPerformance of Face Seal[J]. Journal of Materials Processing Technology,2008,197(1-3):96-100.
    [72] Li J L,Xiong D S,Dai J H,et al. Effect of Surface Laser Texture on FrictionProperties of Nickel-based Composite[J]. Tribology International,2010,43(5-6):1193-1199.
    [73] Dong D Y,Liu C S,Zhang B,et al. Pulsed Nd:YAG Laser Cladding of HighSilicon Content Coating on Low Silicon Steel[J]. Journal of University of Scienceand Technology Beijing: Mineral Metallurgy Materials (Eng Ed),2007,14(4):321-326.
    [74] Kong M C,Miron C B,Axinte D A. On the relationship between the dynamics ofthe power density and workpiece[C]. CIRP Annals-Manufacturing Technology,2012,61:203-206.
    [75] Liu H X, Chen Y X, Wang X. Numerical simulation of laser surfacemicro-texturing[C]. Materials Science Forum: Physical and Numerical Simulationof Materials Processing-Selected, peer reviewed papers from the5th InternationalConference on Physical and Numerical Simulation of Materials Processing,ICPNS'07,2008,575-578(PART1):678-683.
    [76] Liu H X,Yang S J,Wang X. Numerical simulation and experiment study on pulsedlaser surface micro-texturing in carbon tool steel[C].3rd Pacific InternationalConference on Applications of Lasers and Optics, PICALO2008ConferenceProceedings,2008,992-997.
    [77] Liu H B,Wan D P,Hu D J. Numerical simulation and experimental studies ofsurface topography of laser textured roller[J]. Journal of Computational andTheoretical Nanoscience,2008,5(8):1570-1573.
    [78] Vincent C,Monteil G,Barriere T,et al. Control of the quality of laser surfacetexturing[R]. Microsyst Technol,2008,14:1553-1557.
    [79] X C Wang,Wu L Y L,Shao Q. Laser micro structuring on a Si substrate forimproving surface hydrophobicity[J]. Journal of Micromechanics andmicroengineering,2009,19:34-37.
    [80] Chen S C,Ye W Q,Grigoropoulos C P. Time-and Space-resolved Imaging andNumerical Simulation of Laser Zone Texturing of Ni-P Disk Substrates[C]. SPIE,1999,3618:182-190.
    [81] Chen S C,Cahill D G,Grigoropoulos C P. Melting and Surface Deformation inPulsed Laser Surface Micromodification of Ni-P Disks[J]. Journal of HeatTransfer,2000,122:107-112.
    [82] Lee S,Niazi S,Yeo C D. The change in surface properties of magnetic recordingmedia under pulsed laser application[J]. Tribology Letters,2012,47(1):57-65.
    [83] Kuo D,Gui J,Marchon B,et al. Design of Laser Zone Texture for Low GlideMedia[J]. IEEE Transactions on Magnetics,1996,32(5):3753-3758.
    [84] Kuo D,Vierk S D,Rauch G,et al. Laser Zone Texturing on Glass andGlass-ceramic Substrates[J]. IEEE Transactions on Magnetics,1997,33(1):944-949.
    [85] An C W,Lu Y F, Goh Y W,et al. Laser Disk Texturing with Small Bumps[C].SPIE,1998,3550:254-261.
    [86] Lu Y F,He Z F,Liu D M. Mechanism for Different Laser Textured BumpsFormation[C]. SPIE,1998,3550:245-253.
    [87] Bennett T D,Krajnovich D J,Li L,et al. Mechanism of Topography FormationDuring CO2Laser Texturing of Silicate Glasses[J]. J. Appl. Phys.,1998,84(5):2897-2905.
    [88] Bennett T D,Krajnovich D J,Li L. Thermophysical Modeling of Bump Formationduring CO2Laser Texturing of Silicate Glasses[J]. J. Appl. Phys.,1999,85(1):153-159.
    [89]杨明江,彭林华,李正阳. YAG激光毛化技术进展[J].应用激光,2002,22(3):323-326.
    [90] Shen H,Chen G N,Li G Ch. The Plastic Instability Behaviour of Laser-texturedSteel Sheet[J]. Mater. Sci. Eng.,1996,A219:156-161.
    [91]刘莹,陈大融,何云峰等.靶材表面粗糙度对GCr15钢表面激光毛化微突体形貌的影响[J].摩擦学学报,2002,22(6):477-480.
    [92]刘莹,陈大融,杨文言.轧辊表面微凸体形貌激光毛化技术的试验研究[J].机械工程学报,2003,39(7):107-110.
    [93]占剑.内燃机缸套——活塞环激光刻蚀工艺及摩擦磨损特性研究[D].北京:中国科学院力学研究所,2010:51-69.
    [94]符永宏,李成冬,华希俊等.激光毛化微凸形模具钢表面摩擦磨损性能研究[J].摩擦学学报,2009,29(5):475-480.
    [95]李成冬,米涛,华希俊等.模具钢表面激光毛化工艺的试验研究[J].摩擦学学报,2009,29(5):475-480.
    [96]符永宏,李成冬,华希俊等.激光毛化微凸形模具钢表面摩擦磨损性能研究[J].光学与光电技术,2008,6(5):8-11.
    [97]邓忠民,刘敬,赵亦兵等.激光毛化技术对18-8不锈钢疲劳性能影响的研究[J].机械强度,2004,26(S1):154-156.
    [98]周重光,刘国孝,苗美润,等.激光毛化对镀铬层结晶位向及摩擦磨损性能的影响[J].兵器材料科学与工程,2010,33(4):82-84.
    [99]王旭,赵冰,柳春芳.汽车冷轧深冲激光毛化钢板的试验研究[J].汽车工艺与材料,1996,(8):16-20.
    [100]罗长童.低维单形进化算法及其应用[D].长春:吉林大学学位论文,2007:1-2.
    [101]Cui M Y. Research on self-adaptive float evolution algorithm based on DE[J].Proceedings-International Conference on Intelligent Computation Technology andAutomation, ICICTA2008,1:140-144.
    [102]Wang Y X,Xiang Q L. Exploring new learning strategies in Differential Evolutionalgorithm[C].2008IEEE Congress on Evolutionary Computation, CEC2008,2008,204-209.
    [103]Wu Z F,Huang, H K,Zhang X. Adaptive equalization using differentialevolution[C].2008IEEE Congress on Evolutionary Computation, CEC2008,2008,1962-1967.
    [104]Shi Y,Lan Z Z,Feng X H. Differential evolution based on improved learningstrategy[C]. Lecture Notes in Computer Science: Trends in Artificial Intelligence-10th Pacific Rim International Conference on Artificial Intelligence, PRICAI2008,Proceedings,2008,5351:880-889.
    [105]Ge R P. A Filled Function Method for Finding a Global Minimizer of a Function ofSeveral Variables[J]. Mathematical Programming,1990(46):191-204.
    [106]Feng G C,Yu B. Combined Homotopy Interior Point Method for NonlinearPrograming Problems. Lecture Notes in Numerical Analysis,1995(14):9-16.
    [107]赵文红,王宇平,王巍.快速寻优的全局优化进化算法[J].计算机工程,2008,34(8):208-209.
    [108]Luo C T,Yu B. Triangle Evolution–A Hybrid Heuristic for Global Optimization[J].Journal of Mathematical Research&Exposition,2009,29(2):217-246.
    [109]林川.粒子群优化与差分进化算法研究及其应用[D].成都:西南交通大学,2009:1-4.
    [110]Glover F.Tabu Search:Part I[J]. ORSA Journal on Computing,1989(1):190-206.
    [111]Glover F.Tabu Search:Part II[J]. ORSA Journal on Computing,1990(2):4-32.
    [112]Koza J R.Genetically Breeding Populations of Computer Programs to SolveProblems in Artifical Intelligence[C]. Proceedings of the2ndInternational IEEEConference on Tools for Artificial Intelligence,1990:6-9.
    [113]吴立春.演化计算技术研究现状与发展趋势[J].重庆教育学院学报,2007,20(3):61-63.
    [114]Khushaba R N,Al-Ani A,Alsukker A,et al. A combined ant colony anddifferential evolution feature selection algorithm[C]. Lecture Notes in ComputerScience (including subseries Lecture Notes in Artificial Intelligence and LectureNotes in Bioinformatics): Ant Colony Optimization and Swarm Intelligence-6thInternational Conference, ANTS2008, Proceedings,2008,5217:1-12.
    [115]Iorio A W,Li X D. Improving the performance and scalability of differentialevolution[C]. Lecture Notes in Computer Science (including subseries LectureNotes in Artificial Intelligence and Lecture Notes in Bioinformatics): SimulatedEvolution and Learning-7th International Conference, SEAL2008, Proceedings,2008,5361:131-140.
    [116]钱伟懿,段红月.具有约束多目标优化的进化算法[J].计算机应用与软件,2010,27(2):115-117.
    [117]王勇,蔡自兴,周育人.约束优化进化算法[J].软件学报,2009,20(1):11-29.
    [118]王红才,杨明江.具有可控分布毛化点的辊类表面毛化激光加工系统[P].中国专利,00128273.5.2004-06-02.
    [119]王红才,杨明江.一种可控分布YAG激光毛化机床数控系统[J].计算机自动测量与控制,2001,9(3):11-13.
    [120]杨明江,陈光南,吴坚等.高重复调制多脉冲YAG激光刻花系统及加工方法[P].中国专利,92113223.9.1995-07-08.
    [121]杨明江,彭林华,李正阳. YAG激光毛化技术进展[J].应用激光,2002,22(3):323-326.
    [122]王红才.一种基于RS-485网络的集散型控制系统[J].计算机自动测量与控制,2000,8(6):13-15.
    [123]邹思奇.网纹辊:柔性版印刷机的"心脏"[J].印刷世界,2004,30(3):9-11.
    [124]陆载通.激光雕刻技术进展情况介绍[J].印刷杂志,2001,182(5):51-54
    [125]陈浩杰,杨尚昆,韩丽丽.柔印网纹辊技术的发展[J].今日印刷,2007,25(3):26-27.
    [126]朱剑明,缪雪龙,彭代勇.对我国内燃机节能减排技术路线的战略性思考[J].现代车用动力,2010,138(2):1-12.