Research on Laser Engraving Technology for Fabric

Jie Sun; Mian Mian Wang; Ming Li

doi:10.4028/www.scientific.net/AMM.633-634.777

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 633-634Research on Laser Engraving Technology for Fabric

Research on Laser Engraving Technology for Fabric

Abstract:

In order to enhance efficiency of laser engraving technology in fabric manufacture, a laser engraving experiment was conducted on 30 kinds of jeans with CO₂ laser engraving machine, and meanwhile the performance parameters of fabric was tested. Then five performance parameters of fabric were chosen through correlation analysis, with each showing a significant correlation with carving levels; a prediction model of carving level was constructed based on GRNN, with a prediction error of less than 3%.The study improves the efficiency of laser engraving and lays foundation for bridging the performance parameters of fabric and sculpture levels .

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Periodical:

Applied Mechanics and Materials (Volumes 633-634)

Pages:

777-781

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.633-634.777

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Online since:

September 2014

Authors:

Jie Sun*, Mian Mian Wang, Ming Li

Keywords:

Energy Level, Generalized Regression Neural Network (GRNN), Jeans, Laser Engraving

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* - Corresponding Author

References

[1] Yaling Cai : Global Textile Technology in Chinese, Vol. 9 (1996), pp.39-41.

Google Scholar

[2] Junde Li: Journal of Wuhan Technology University in Chinese , Vol. 18(2005), pp.10-13.

Google Scholar

[3] Information on http: /www. chutianlaser. com.

Google Scholar

[4] Weiming Shi, Haojie Wang, Yeqin Qu: Machine Tool & Hydraulics in Chinese, Vol. 37(2009), P. 331-334.

Google Scholar

[5] Wenyuan He: Journal of Shanghai University of Engineering Science in Chinese, Vol. 22 (2008), P. 79-83.

Google Scholar

[6] Songqing Chen, Dacheng Wang , Jiansheng Wang : Chinese Clothing, Vol. 32(2008), pp.86-87.

Google Scholar

[7] Yongzuo Qing: Costume design laser cutting system automatically in Chinese (2002), p.78.

Google Scholar

[8] Tiechun Wang. 21Advanced Manufacturing century: Science Press, Beijing, (2007).

Google Scholar

[9] Shiyong Wang , Di Li: Journal of South China University of Technology, Vol. 38(2010), pp.112-117.

Google Scholar

[10] Shiyong Wang , Di Li: Modular Machine Tool & Automatic Manufacturing Technique, Vol. 9(2010), pp.34-38.

Google Scholar

[11] Chen Ming-fei, Chen Yu-pin: Optics and Lasers in Engineering, Vol. 46(2008), pp.410-418.

Google Scholar

[12] Chen Ming-fei, Chen Yu-pin: Optics and Lasers in Engineering, Vol. 47(2009), pp.84-89.

Google Scholar

[13] Wendai Lu. SPSS for windows statistical analysis. Electronic Industry Press, Beijing, (2006).

Google Scholar

[14] Wei Xue. SPSS statistical analysis and application in Chinese. China Renmin University Press, Beijing, (2008).

Google Scholar