Fractal characteristic evaluation and interpolation reconstruction for surface topography of drilled composite hole wall

Yu YANG, Hui CHENG, Biao LIANG, Guoyi HOU, Di ZHAO, Chun LIU, Kaifu ZHANG

PDF(10763 KB)
PDF(10763 KB)
Front. Mech. Eng. ›› 2021, Vol. 16 ›› Issue (4) : 840-854. DOI: 10.1007/s11465-021-0643-5
RESEARCH ARTICLE

Fractal characteristic evaluation and interpolation reconstruction for surface topography of drilled composite hole wall

Author information +
History +

Abstract

In this paper, an improved fractal interpolation model is proposed to reconstruct the surface topography of composite hole wall. This model adopts the maximum positive deviations and maximum negative deviations between the measured values and trend values to determine the contraction factors. Hole profiles in 24 directions are measured. Fractal parameters are calculated to evaluate the measured surface profiles. The maximum and minimum fractal dimension of the hole wall are 1.36 and 1.07, whereas the maximum and minimum fractal roughness are 4.05 × 10 −5 and 4.36 × 10 −10 m, respectively. Based on the two-dimensional evaluation results, three-dimensional surface topographies in five typical angles (0°, 45°, 90°, 135°, and 165°) are reconstructed using the improved model. Fractal parameter D s and statistical parameters Sa, Sq, and Sz are used to evaluate the reconstructed surfaces. Average error of D s, Sa, Sq, and Sz between the measured surfaces and the reconstructed surfaces are 1.53%, 3.60%, 5.60%, and 9.47%, respectively. Compared with the model in published literature, the proposed model has equal reconstruction effect in relatively smooth surface and is more advanced in relatively rough surface. Comparative results prove that the proposed model for calculating contraction factors is more reasonable.

Graphical abstract

Keywords

surface topography / fractal evaluation / fractal interpolation / reconstruction / composite

Cite this article

Download citation ▾
Yu YANG, Hui CHENG, Biao LIANG, Guoyi HOU, Di ZHAO, Chun LIU, Kaifu ZHANG. Fractal characteristic evaluation and interpolation reconstruction for surface topography of drilled composite hole wall. Front. Mech. Eng., 2021, 16(4): 840‒854 https://doi.org/10.1007/s11465-021-0643-5

References

[1]
ZouP, Chen X M, ChenH. Damage propagation and strength prediction of a single-lap interference-fit laminate structure. Frontiers of Mechanical Engineering, 2020, 15( 4): 558– 570
CrossRef Google scholar
[2]
HuiX Y, XuY J, ZhangW H. Multiscale model of micro curing residual stress evolution in carbon fiber-reinforced thermoset polymer composites. Frontiers of Mechanical Engineering, 2020, 15( 3): 475– 483
CrossRef Google scholar
[3]
KuoC L, WangC Y, KoS K. Wear behaviour of CVD diamond-coated tools in the drilling of woven CFRP composites. Wear, 2018, 398‒399 : 1– 12
CrossRef Google scholar
[4]
HouG Y, QiuJ P, ZhangK F. Comparative tool wear and hole quality investigation in drilling of aerospace grade T800 CFRP using different external cooling lubricants. International Journal of Advanced Manufacturing Technology, 2020, 106( 3‒4): 937– 951
CrossRef Google scholar
[5]
MaG F, KangR K, DongZ G. Hole quality in longitudinal–torsional coupled ultrasonic vibration assisted drilling of carbon fiber reinforced plastics. Frontiers of Mechanical Engineering, 2020, 15( 4): 538– 546
CrossRef Google scholar
[6]
XuZ M, DingL T, HuangP. Interfacial potential barrier theory of friction and wear. Frontiers of Mechanical Engineering, 2008, 3( 3): 276– 282
CrossRef Google scholar
[7]
BorodichF M, PepelyshevA, SavencuO. Statistical approaches to description of rough engineering surfaces at nano and microscales. Tribology International, 2016, 103 : 197– 207
CrossRef Google scholar
[8]
LiaoD R, ShaoW, TangJ Y. An improved rough surface modeling method based on linear transformation technique. Tribology International, 2018, 119 : 786– 794
CrossRef Google scholar
[9]
WaddadY, MagnierV, DufrénoyP. A multiscale method for frictionless contact mechanics of rough surfaces. Tribology International, 2016, 96 : 109– 121
CrossRef Google scholar
[10]
PawlusP, ReizerR, WieczorowskiM. Material ratio curve as information on the state of surface topography—A review. Precision Engineering, 2020, 65 : 240– 258
CrossRef Google scholar
[11]
PawlusP, ReizerR, ZelaskoW. Prediction of parameters of equivalent sum rough surfaces. Materials (Basel), 2020, 13( 21): 4898–
CrossRef Google scholar
[12]
MacekW, RozumekD, KrólczykG M. Surface topography analysis based on fatigue fractures obtained with bending of the 2017A-T4 alloy. Measurement, 2020, 152 : 107347–
CrossRef Google scholar
[13]
KacalakW, LipińskiD, SzafraniecF. Metrological basis for assessing the state of the active surface of abrasive tools based on parameters characterizing their machining potential. Measurement, 2020, 165 : 108068–
CrossRef Google scholar
[14]
NewtonL, SeninN, ChatzivagiannisE. Feature-based characterisation of Ti6Al4V electron beam powder bed fusion surfaces fabricated at different surface orientations. Additive Manufacturing, 2020, 35 : 101273–
CrossRef Google scholar
[15]
KrolczykG M, MarudaR W, KrolczykJ B. Parametric and nonparametric description of the surface topography in the dry and MQCL cutting conditions. Measurement, 2018, 121 : 225– 239
CrossRef Google scholar
[16]
ZhangF K, LiuJ H, DingX Y. Experimental and finite element analyses of contact behaviors between non-transparent rough surfaces. Journal of the Mechanics and Physics of Solids, 2019, 126 : 87– 100
CrossRef Google scholar
[17]
PawlusP, ReizerR, WieczorowskiM. Characterization of the shape of height distribution of two-process profile. Measurement, 2020, 153 : 107387–
CrossRef Google scholar
[18]
HouG Y, ZhangK F, FanX T. Analysis of exit-ply temperature characteristics and their effects on occurrence of exit-ply damages during UD CFRP drilling. Composite Structures, 2020, 231 : 111456–
CrossRef Google scholar
[19]
WernC W, RamuluM, ColliganK. A study of the surface texture of composite drilled holes. Journal of Materials Processing Technology, 1993, 37( 1‒4): 373– 389
CrossRef Google scholar
[20]
RimpaultX, ChatelainJ, Klemberg-SapiehaJ E. Surface profile topography of trimmed and drilled carbon/epoxy composite. Procedia CIRP, 2016, 45 : 27– 30
CrossRef Google scholar
[21]
RimpaultX, ChatelainJ F, Klemberg-SapiehaJ E. Surface profile texture characterization of trimmed laminated composite in the stacking sequence direction. Measurement, 2016, 91 : 84– 92
CrossRef Google scholar
[22]
TomescuL. Surface profiles of composites with PTFE matrix. Journal of Materials Processing Technology, 2003, 143‒144 : 384– 389
CrossRef Google scholar
[23]
GantiS, BhushanB. Generalized fractal analysis and its applications to engineering surfaces. Wear, 1995, 180( 1‒2): 17– 34
CrossRef Google scholar
[24]
WangX B, ZhouT F, XieL J. Mesoscale fabrication of a complex surface for integral impeller blades. Frontiers of Mechanical Engineering, 2017, 12( 1): 116– 131
CrossRef Google scholar
[25]
MiaoX M, HuangX D. A complete contact model of a fractal rough surface. Wear, 2014, 309( 1‒2): 146– 151
CrossRef Google scholar
[26]
ZhangT, DingK. Hierarchical fractal structure of perfect single-layer grapheme. Frontiers of Mechanical Engineering, 2013, 8( 4): 371– 382
CrossRef Google scholar
[27]
MajumdarA, BhushanB. Role of fractal geometry in roughness characterization and contact mechanics of surfaces. Journal of Tribology, 1990, 112( 2): 205– 216
CrossRef Google scholar
[28]
MajumdarA, BhushanB. Fractal model of elastic–plastic contact between rough surfaces. Journal of Tribology, 1991, 113( 1): 1– 11
CrossRef Google scholar
[29]
YuanY, GanL, Liu K. Elastoplastic contact mechanics model of rough surface based on fractal theory. Chinese Journal of Mechanical Engineering, 2017, 30( 1): 207– 215
CrossRef Google scholar
[30]
JanaT, MitraA, SahooP. Dynamic contact interactions of fractal surfaces. Applied Surface Science, 2017, 392 : 872– 882
CrossRef Google scholar
[31]
GoerkeD, WillnerK. Normal contact of fractal surfaces—Experimental and numerical investigations. Wear, 2008, 264( 7–8): 589– 598
CrossRef Google scholar
[32]
ZhangZ, XiaoY, XieY H. Effects of contact between rough surfaces on the dynamic responses of bolted composite joints: multiscale modeling and numerical simulation. Composite Structures, 2019, 211 : 13– 23
CrossRef Google scholar
[33]
PawlusP, ReizerR, WieczorowskiM. A review of methods of random surface topography modeling. Tribology International, 2020, 152 : 106530–
CrossRef Google scholar
[34]
XieH P, SunH Q, JuY. Study on generation of rock fracture surfaces by using fractal interpolation. International Journal of Solids and Structures, 2001, 38( 32‒33): 5765– 5787
CrossRef Google scholar
[35]
RiS. A new idea to construct the fractal interpolation function. Indagationes Mathematicae, 2018, 29( 3): 962– 971
CrossRef Google scholar
[36]
RuanH J, XuQ. Fractal interpolation surfaces on rectangular grids. Bulletin of the Australian Mathematical Society, 2015, 91( 3): 435– 446
CrossRef Google scholar
[37]
MazelD S, HayesM H. Using iterated function systems to model discrete sequences. IEEE Transactions on Signal Processing, 1992, 40( 7): 1724– 1734
CrossRef Google scholar
[38]
RiS. New types of fractal interpolation surfaces. Chaos, Solitons, and Fractals, 2019, 119 : 291– 297
CrossRef Google scholar
[39]
FengZ G, FengY Z, YuanZ Y. Fractal interpolation surfaces with function vertical scaling factors. Applied Mathematics Letters, 2012, 25( 11): 1896– 1900
CrossRef Google scholar
[40]
XuY, Jackson R L. Statistical models of nearly complete elastic rough surface contact-comparison with numerical solutions. Tribology International, 2017, 105 : 274– 291
CrossRef Google scholar
[41]
VakisA I, YastrebovV A, ScheibertJ. Modeling and simulation in tribology across scales: an overview. Tribology International, 2018, 125 : 169– 199
CrossRef Google scholar
[42]
ZhangS G, WangW Z, ZhaoZ Q. The effect of surface roughness characteristics on the elastic–plastic contact performance. Tribology International, 2014, 79 : 59– 73
CrossRef Google scholar
[43]
ZhangX L, WangN S, LanG S. Tangential damping and its dissipation factor models of joint interfaces based on fractal theory with simulations. Journal of Tribology, 2014, 136( 1): 011704–
CrossRef Google scholar
[44]
ZhangX H, XuY, Jackson R L. An analysis of generated fractal and measured rough surfaces in regards to their multi-scale structure and fractal dimension. Tribology International, 2017, 105 : 94– 101
CrossRef Google scholar
[45]
WangR Q, ZhuL D, ZhuC X. Research on fractal model of normal contact stiffness for mechanical joint considering asperity interaction. International Journal of Mechanical Sciences, 2017, 134 : 357– 369
CrossRef Google scholar
[46]
BrujicD, AinsworthI, RisticM. Fast and accurate NURBS fitting for reverse engineering. International Journal of Advanced Manufacturing Technology, 2011, 54( 5–8): 691– 700
CrossRef Google scholar
[47]
KineriY, WangM, LinH. B-spline surface fitting by iterative geometric interpolation/approximation algorithms. Computer Aided Design, 2012, 44( 7): 697– 708
CrossRef Google scholar
[48]
WangJ, LuY, Ye L. Efficient analysis-suitable T-spline fitting for freeform surface reconstruction and intelligent sampling. Precision Engineering, 2020, 66 : 417– 428
CrossRef Google scholar

Acknowledgements

This work was supported by the Intelligent Robotic in Ministry of Science and Technology of the People’s Republic of China (Grant No. 2017YFB1301703), the Young Fund of the Natural Science Foundation of Shaanxi Province, China (Grant No. 2020JQ-121), the National Natural Science Foundation of China (Grant No. 51975472), and the Innovation Capability Support Plan of Shaanxi Province, China (Grant No. 2019KJXX-063). Moreover, the authors acknowledge the editors and anonymous referees for their insightful comments.

RIGHTS & PERMISSIONS

2021 Higher Education Press 2021.
AI Summary AI Mindmap
PDF(10763 KB)

Accesses

Citations

Detail

Sections
Recommended

/