Surface characterization by accurate measurement and image processing systems on machined surfaces of precision cutting tools

• Autorzy: Durakbasa N. M. , Bogrekci I. , Demircioglu P. , Bas G. , Gunay A.
• Języki publikacji: EN

Abstrakty

EN

High precise measurement techniques and surface structure analysis are required in advanced fields of interchangeable manufacturing and precision engineering. This study presents the characterization of the surface roughness of the machined milling cutters by experimental precision measurements and the image processing tool. The data obtained are compared to assess the surface characterization parameters and computational data in terms of precision, accuracy, sensitivity, repeatability and resolution. In the experimental measurement phase, the roughness measurements and surface topography characterization were performed in the nanotechnology laboratory using the stylus profilometry and digital microscopy. The computational phase was performed using an image processing toolbox with precise evaluation of the roughness for the machined metal surfaces of the end mill cutting tool. The surface parameter database is established exhibiting an advantage over the traditional method. This study reveals a comparison methodology of the end mill surface parameters using both stylus readings and image processing software for widely used end mill cutting tools that have considerable effect on characterization of sensitive manufacturing surface of millings.

Słowa kluczowe

EN

surface roughness; end milling; image processing; precision machining

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2012
• Tom: Vol. 6, No. 3
• Strony: 51--55
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Durakbasa N. M.

autor

Bogrekci I.

autor

Demircioglu P.

autor

Bas G.

autor

Gunay A.

• Vienna University of Technology (TU-Wien), Department of Interchangeable Manufacturing and Industrial Metrology (Austauschbau und Messtechnik/Produktionsmesstechnik and Qualität), Institute of Production Engineering and Laser Technology, Vienna Univ,

Bibliografia

• [1] Leach, R. K., Haitjema, H., “Bandwidth characteristics and comparisons of surface texture measuring instruments”, Meas. Sci. Technol., vol. 21, no. 3, 2010, pp. 1-9.
• [2] http://www.taylor-hobson.com
• [3] EN ISO 4287:2009, Geometrical Product Specifications (GPS) - Surface texture: Profile method – Terms, definitions and surface texture parameters (ISO 4287:1997 + Cor 1: 1998 + Cor 2: 2005 + Amd 1: 2009) (includes Corrigendum AC:2008 and Amendment A1:2009).
• [4] http://www.keyence.com/products/microscope/microscope/vhx1000/vhx1000.php
• [5] Bogrekci I., Godwin R. J., “Development of Image Processing Technique for Soil Tilth Sensing”, Biosystems Engineering, vol. 97, no. 3, 2007, pp. 323-331.
• [6] Whitehouse D.J., “Stylus contact method for surface metrology in the ascendancy, Meas. Cont., vol. 31, no. 2, 1998, pp. 48-50.
• [7] Blunt L., Stout K.J., Three-dimensional Surface Topography, Penton Pres, London, ISBN 1857180267, 2000, p. 320.
• [8] Demircioglu P., Durakbasa M.N., Investigations on Machined Metal Surfaces through the Stylus Type and Optical 3D Instruments and their Mathematical Modeling with the Help of Statistical Techniques. „Measurement”, vol. 44, issue 4, 2011, pp. 611-619.