Translated Titles

Experimental Design and Analysis on Artificial Feather’s Appearance and Material Emulation Attributes



Key Words

實驗設計 ; 仿真羽毛 ; 影像處理 ; Experimental design ; Emulation feathers ; Image Processing



Volume or Term/Year and Month of Publication


Academic Degree Category




Content Language


Chinese Abstract

羽毛球是世界性的體育運動,每一顆羽毛球是由16根鵝或鴨的羽毛及軟木球頭所製成,球體中羽毛的毛葉和毛梗為最脆弱而易損壞的部位,而且任何一根羽毛的損壞就會使整顆球失去原有飛行屬性。近年來,全球的羽毛球運動人口持續增加,但是原料羽毛的供應卻無法跟上,導致羽毛球的價錢持續上揚。因此以人造羽毛替代真實羽毛的構想愈來愈具備商業價值。 本研究主要目的分為二部份。一為仿真羽毛之外表型態設計:使用Nikon攝影機擷取真實羽毛之數位圖像,藉由影像處理技術將真實羽毛外型圖像經由傅立葉轉換、二值化運算、型態分析等程序,以突顯出真實羽毛之輪廓圖像,並將處理後圖像匯入建模軟體以設計仿真羽毛的初始模型。其次是真實羽毛機械屬性實驗擷取:使用動態實驗與靜態實驗,並以實驗設計分析羽毛於彎曲度、正向拱度、負向拱度之機械屬性,從而建立仿真羽毛的仿真屬性條件。 本研究主要成果,包括:1.運用影像處理設計三套羽毛梗的初始模型開發。2.依據真實羽毛靜態與動態之機械屬性的最佳線性回歸方程式,建立有效信賴區間,以便未來仿真羽毛開發,能精準掌控羽毛外型與屬性。

English Abstract

Badminton is a sport of the world. A Shuttlecock is made from the 16 goose or duck feathers and a cork ball head, Feather leaves and stems are most vulnerable to damage. Any damage in these areas cause the ball to lose the original flight properties. Recent years, playing populations badminton continue to grow around the world. However, the supply of raw material feathers can’t keep up, leading to the price rise of badminton. The idea of artificial feathers in replacing real feathers has commercial values and draws attentions of global research. The objectives of this study are two-fold. 1. Emulation of a feather appearance patterns design: Using Nikon cameras to capture real feathers, and applying image processing technology via a Fourier transformation, binary arithmetic, and pattern analysis program to improve image of the feathers. 2. Feather mechanical properties experiment retrieval: Using dynamic experimental and static experimental design to analyze feathers in curve, tune positive arch, negative arch with respective to different loads, and these establish conditions for emulation feathers simulation attribute. The outputs of this study including three sets of feathers Terrier initial models and static and dynamic mechanical properties of the best linear regression equations retrieved from real feathers. Confidence intervals of these regression equations are built, that can be used developing artificial feathers.

Topic Category 理工學院 > 工業工程與管理系
工程學 > 工程學總論
社會科學 > 管理學
  1. Alam, F., Chowdhury, H., Theppadungporn C., and Subic A., “Measurements of Aerodynamic Properties of Badminton Shuttlecocks, ” Procedia Engineering, Vol. 2, pp. 2487-2492 (2010).
  2. Burgess, S. C., King, A., and Hyde, R., “An analysis of optimal structural features in the peacock tail feather,” Optics &; Laser Technology, Vol. 38, pp.329-334 (2006).
  3. Bryank, T., Laptiev, A., Tolochyn, O., and Pakiela, Z., “The method of fracture toughness measurement of brittle materials by means of high speed camera and DIC,” Computational Materials Science, Vol. 64, pp.221-224 (2012).
  4. Furumoto, T., , Alkahari, M. R., Ueda, T., Aziz, M. S. A., and Hosokawa, A., “Monitoring of laser consolidation process of metal powder with high speed video camera,” Physics Procedia, Vol. 39, pp.760-766 (2012).
  5. Harth, T., Schwan, S., Lehn, J., and Kollmann, F.G., “Identification of material parameters for inelastic constitutive models: statistical analysis and design of experiments, ” International Journal of Plasticity, Vol. 20, pp.1403-1440 (2004).
  6. Sax, L., “Polyethylene Terephthalate May Yield Endocrine Disruptors, Environ Health Perspect, ” Vol. 118, NO.4, pp.445-448 (2010).
  7. Kuijper, A., “Geometrical PDEs based on second-order derivatives of gauge coordinates in image processing,” Image and Vision Computing, Vol. 27, pp.1023-1034 (2009).
  8. Nakagawa, K., Hasegawa, H., Murakami, M., and Obayashi, Shigeru., “Aerodynamic Properties and Flow Behavior for a Badminton Shuttlecock with Spin at High Reynolds Numbers,” Procedia Engineering, Vol. 34, pp.104- 109 ( 2012 ).
  9. Negeed, E. S. R., Hidaka, S., Kohno, M., and Takata, Y., “High speed camera investigation of the impingement of single water droplets on oxidized high temperature surfaces,” International Journal of Thermal Sciences, Vol. 63, pp.1-14 (2013).
  10. Pujana, J., Arrazola, P.J., and Villar, J.A., “In-process high-speed photography applied to orthogonal turning,” journal of materials processing technology, Vol. 202, pp.475-485 (2008).
  11. Personnic, J. J., Alam, F., Gendre, L. L., Chowdhury, H., and Subic, A., “Flight trajectory simulation of badminton shuttlecocks,” Procedia Engineering, Vol. 13, pp.344-349 (2011).
  12. Plataniotis, K. N., Androutsos, D., and Venetsanopoulos, A. N., “Multichannel filters for image processing,” Imaye Communication, Vol. 9, pp.143-158 (1997).
  13. Song, S. X., Wang, X. L., and Nieh, T.G., “Capturing shear band propagation in a Zr-based metallic glass using a high-speed camera,” Scripta Materialia, Vol. 62, pp. 847-850 (2010).
  14. Stancic, I., and Zanchi, V., “Measurement of human kinematics using high speed camera,” Poster Presentations / Gait &; Posture, Vol. 28, pp.49-118 (2008).
  15. Tryland, T., Hopperstad, O. S., and Langseth, M., “Design of experiments to identify material properties, Materials and Design,” Vol. 21, pp.477-492 (2000).
  16. Vadde, K. K., Syrotiuk, V. R., and Montgomery, D. C., “Optimizing Protocol Interaction Using Response Surface Methodology,” IEEE Transations On Mobile Computing, Vol. 5, NO. 6, (2006).
  17. Yuksel, A., and Yes﹐ilcubuk, N. S., “Enzymatic production of human milk fat analogues containing stearidonic acid and optimization of reactions by response surface methodology,” LWT - Food Science and Technology, Vol. 46, pp.210-216 (2012).
  18. Zhong, D. X., and Yan, H., “Pattern skeletonization using run-length-wise processing for intersection distortion problem,” Pattern Recognition Letters, Vol. 20, pp.833-846 (1999).
  19. 湯銘文,2012,「爆破衝擊下的岩石破裂過程之高速影像分析」,博士論文,國立臺北科技大學工程科技研究所,臺北。
  20. 陳建立,2012,「以電腦視覺畫面鑑定車削刀片等級之技術研究」,碩士論文,朝陽科技大學,台中
  21. Fisher, R., Perkins, S., Walker, A., and Wolfart, E., HIPR2 image processing learning resoures, University of Edinburgh, (2003).
  22. Montgomery, D. C., Peck, E. A., and Vining G. G., “Introduction to Linear Regression Analysis 3rd edition,” Wiley, New York (2001).
  23. Texier, B. D., Cohen, C., Querea, D., and Claneta, C., “Shuttlecock dyna,” Procedia Engineering, Vol. 34, pp. 176-181 ( 2012 ).
  24. 黎正中、陳源樹,2008,「實驗設計與分析」,高立圖書有限公司,台北,第224-229頁。
  25. 賴岱佑,2008,「數位影像分析之智慧型監視系統」,文魁資訊股份有限公司,台北,第2-5章。
  26. 林紀瑋,2011,「影像處理的13堂課」,博碩文化股份有限公司,新北市,第9-10 章。
  27. 陳世宏,2012,「利用影像處理技術量測扣件」,碩士論文,國立勤益科技大學,台中。
  28. 許忠恕,2011,「應用影像處理於量測距離及角度之研究」,碩士論文,北臺灣科學技術學院,台中。
  29. 張銘崑、林守儀、袁贊修、紀博涵,1982,「電腦影像羽毛檢測系統與自動分類機的研發」,中國機械工程學會第二十四屆全國學術研討會論文集,桃園,第4416-4421頁。
  30. 消進松,2001,「數位影像處理」,全華科技圖書股份有限公司,台北,第2-3章。