A Method Development for Correlation of Surface Finish Appearance of Die Surfaces and Roughness Measurement Data

被引:8
作者
Berglund, J. [1 ]
Rosen, B. -G. [2 ]
机构
[1] Sandvik Tooling Sverige AB, Res Technol Ctr & Mould, S-29338 Olofstrom, Sweden
[2] Halmstad Univ, Funct Surfaces Res Grp, S-30118 Halmstad, Sweden
关键词
Surface roughness; Surface roughness analysis and models; Statistical analysis; Finishing; Milling;
D O I
10.1007/s11249-009-9470-2
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In die and mould manufacturing, the method used for quality control of finished surfaces is usually visual and tactile inspection of the finish, which is not easily quantifiable. In the present study, an evaluation of the connection between surface finish appearance and measured surface roughness was carried out using scale-sensitive fractal analysis to find functional correlations and to determine suitable cut-off limits for functional data filtration. A selection of ball-nose end-mills in combination with two different tool steels (hardness 39 and 47 HRC) were used to manufacture surfaces that were inspected and measured. It was found that the method developed in the present study for evaluating functional correlations and designing filters worked well. It was also found that there is a correlation between the surface roughness parameter Sq and the surface finish appearance and that this correlation is stronger in certain wavelengths on the surface.
引用
收藏
页码:157 / 164
页数:8
相关论文
共 15 条
[1]  
[Anonymous], B46 ASME
[2]  
BERGLUND J, 2008, P 18 INT C FLEX AUT, P284
[3]  
BERGLUND J, 2008, P 12 INT C SURF, P110
[4]   Fundamental scales of adhesion and area-scale fractal analysis [J].
Brown, CA ;
Siegmann, S .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2001, 41 (13-14) :1927-1933
[5]  
CANTOR GJ, 2007, P 11 INT C METR PROP, P216
[6]  
de Lacalle LNL, 2002, J MATER PROCESS TECH, V123, P292
[7]  
ROSEN BG, 2004, P INT C REC ADV MAN, P29
[8]   Dental microwear texture analysis shows within-species diet variability in fossil hominins [J].
Scott, RS ;
Ungar, PS ;
Bergstrom, TS ;
Brown, CA ;
Grine, FE ;
Teaford, MF ;
Walker, A .
NATURE, 2005, 436 (7051) :693-695
[9]   Linear and robust Gaussian regression filters [J].
Seewig, J. .
7th International Symposium on Measurement Technology and Intelligent Instruments, 2005, 13 :254-257
[10]  
STOUT KJ, 1994, PUBLICATION EUR