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    Surface texturing on stainless steel by direct laser interference lithography

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    Authors
    Li, Wenjun
    Cao, Liang
    Liu, Qi
    Yu M
    Wang, Zuobin
    Li, Dayou
    Li, Dong
    Meng, Jiao
    Affiliation
    Changchun University of Science and Technology
    University of Bedfordshire
    Jilin Province Metrology Research Institute
    Issue Date
    2018-02-08
    Subjects
    micro circular dimple structure
    direct laser interference lithography
    friction coefficient
    
    Metadata
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    Abstract
    A method for the surface texturing of well-designed and high controllable micro dimple structures on stainless steel by direct laser interference lithography (DLIL) is presented. The method offers its innovation that the micro circular dimple structures can be fabricated directly by controlling the process of three-beam laser interference. Different exposure durations have been studied to achieve the optimum value of the dimple diameter and density in order to reduce the friction coefficient of stainless steel. The dry sliding test of friction coefficients were performed by mechanical tester (UMT-TriboLab) under normal loads of 15 N. The results indicate that the micro circular dimple structures with the average dimple diameter of 4.2 μm and density of 23 percent have about 77% reduction of friction coefficient compared with untreated surfaces.
    Citation
    Li W, Cao L, Liu Q, Yu M, Wang Z, Li D, Li D, Meng J (2018) 'Surface texturing on stainless steel by direct laser interference lithography', 2017 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO) - Shanghai, Institute of Electrical and Electronics Engineers Inc..
    Publisher
    Institute of Electrical and Electronics Engineers Inc.
    URI
    http://hdl.handle.net/10547/623871
    DOI
    10.1109/3M-NANO.2017.8286335
    Additional Links
    https://ieeexplore.ieee.org/document/8286335
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781538610817
    ae974a485f413a2113503eed53cd6c53
    10.1109/3M-NANO.2017.8286335
    Scopus Count
    Collections
    Computing

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