Evaluation method of surface texture by surface roughness based on geometrical product specifications (GPS)

被引:12
|
作者
Yonehara, M [1 ]
Matsui, T
Kihara, K
Isono, H
Kijima, A
Sugibayashi, T
机构
[1] Takushoku Univ, Grad Sch Engn, Hachioji, Tokyo 1930985, Japan
[2] FUNAI Elect Co Ltd, R&D Engn Dept, Tokyo 1010021, Japan
[3] Takushoku Univ, Fac Engn, Dept Mech Syst Engn, Hachioji, Tokyo 1930985, Japan
[4] Polytech Univ, Dept Precis Mech Syst Engn, Sagamihara, Kanagawa 2291196, Japan
关键词
suface texture; roughness; glossiness; geometrical product specifications;
D O I
10.2320/matertrans.45.1019
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper describes a quantitative evaluation method for metal surface texture. We used surface roughness and glossiness as parameters to describe surface texture. Specimen surface roughness was evaluated based on geometrical product specification data taken from japanese industrial standards. The effects of surface roughness on glossiness were investigated by aluminum alloys. The relationship between the glossiness and the roughness height. the period of the roughness profile and the slope for the Surface roughness processed by a vertical milling machine were studied for determining if the topography of the Surface roughness affects the glossiness. The Surface of the specimens were polished using abrasive paper and blasted, so that the arithmetical mean deviation, Ra, was less than 1.00 mum. The effects of roughness on glossiness were investigated on polished surfaces and blasted surfaces. The results show that the surface roughness shape and the glossiness prove to be effective indices for evaluating the surface textures of aluminum alloys.
引用
收藏
页码:1019 / 1026
页数:8
相关论文
共 50 条
  • [1] Research on New Geometrical Product Specifications (GPS)-Geometrical Tolerancing
    Lin, Wang
    Chen, Ni
    [J]. 2020 5TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2020), 2020, : 2106 - 2109
  • [2] A hierarchical category model for geometrical product specifications (GPS)
    Qi, Qunfen
    Scott, Paul J.
    Jiang, Xiangqian
    Lu, Wenlong
    [J]. 14TH CIRP CAT 2016 - CIRP CONFERENCE ON COMPUTER AIDED TOLERANCING, 2016, 43 : 214 - 219
  • [3] GLCM TEXTURE BASED FRACTAL METHOD FOR EVALUATING FABRIC SURFACE ROUGHNESS
    Wang, Xin
    Georganas, Nicolas D.
    [J]. 2009 IEEE 22ND CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1 AND 2, 2009, : 1070 - 1073
  • [4] SURFACE TEXTURE (SURFACE ROUGHNESS, WAVINESS AND LAY).
    Anon
    [J]. 1600,
  • [5] Surface Roughness Measurement Based on Image Texture Analysis
    Min, Li
    Gao, Longfei
    Zhang, Xiaoxia
    Wang, Zhe
    [J]. 2014 7TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP 2014), 2014, : 514 - 519
  • [6] Speckle pattern texture analysis method to measure surface roughness
    Kuznetsov, I.
    Sadovoy, A.
    Doronin, A.
    Meglinski, I.
    [J]. SARATOV FALL MEETING 2012: OPTICAL TECHNOLOGIES IN BIOPHYSICS AND MEDICINE XIV; AND LASER PHYSICS AND PHOTONICS XIV, 2013, 8699
  • [7] Evaluation method of surface texture by the surface colors of aluminum alloys
    Yonehara, Makiko
    Kihara, Koichiro
    Isono, Hiroaki
    Kijima, Akira
    Sugibayashi, Toshio
    [J]. Keikinzoku/Journal of Japan Institute of Light Metals, 2004, 54 (02): : 45 - 50
  • [8] EFFECT OF SURFACE-ROUGHNESS AND SURFACE TEXTURE ON SCUFFING
    STAPH, HE
    KU, PM
    CARPER, HJ
    [J]. MECHANISM AND MACHINE THEORY, 1973, 8 (02) : 197 - 208
  • [9] Measurement method of cylinder diameters based on new generation geometrical product specifications
    Zhao, Zexiang
    Lu, Ming
    Li, Xuexin
    Zhang, Jizhou
    Gao, Zuokun
    [J]. Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2006, 17 (11): : 1179 - 1182
  • [10] On the Evaluation Method of Wavelet Analysis for Surface Roughness
    Huang, Meifa
    Cheng, Xiong
    Kuang, Bing
    Huang, Jiangtai
    [J]. FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE, PTS 1-4, 2011, 44-47 : 4077 - 4080