Surface Roughness Parameters Evaluation in Machining GFRP Composites by PCD Tool using Digital Image Processing

2008 ◽  
Vol 28 (13) ◽  
pp. 1567-1585 ◽  
Author(s):  
P.M.M.S. Sarma ◽  
L. Karunamoorthy ◽  
K. Palanikumar
Keyword(s):  
Image Processing ◽  
Surface Roughness ◽  
Digital Image Processing ◽  
Digital Image ◽  
Roughness Parameters ◽  
Gfrp Composites ◽  
Surface Roughness Parameters ◽  
Pcd Tool

Analysis of surface roughness parameters digital image identification

Measurement ◽  
2014 ◽  
Vol 56 ◽  
pp. 81-87 ◽  
Author(s):  
Mindaugas Jurevicius ◽  
Jonas Skeivalas ◽  
Robertas Urbanavicius
Keyword(s):  
Surface Roughness ◽  
Digital Image ◽  
Roughness Parameters ◽  
Image Identification ◽  
Surface Roughness Parameters

scholarly journals Objective quantification of surface roughness parameters affecting superhydrophobicity

RSC Advances ◽  
2020 ◽  
Vol 10 (52) ◽  
pp. 31251-31260
Author(s):  
Yoonkyung Cho ◽  
Chung Hee Park
Keyword(s):  
Image Processing ◽  
Surface Roughness ◽  
Roughness Parameters ◽  
Image Processing Techniques ◽  
Surface Roughness Parameters ◽  
Processing Techniques ◽  
Objective Quantification

This study proposes new optical roughness parameters that can be objectively quantified using image processing techniques, and presents an analysis of how these parameters are correlated with the degree of superhydrophobicity.

scholarly journals Effect of Pre-Treatment on the Smoothness Behaviour of Cotton Fabric

2019 ◽  
Vol 27 (5(137)) ◽  
pp. 70-79
Author(s):  
Nidhi Sisodia ◽  
M.S. Parmar ◽  
Saurbh Jain
Keyword(s):  
Image Processing ◽  
Surface Roughness ◽  
Digital Image Processing ◽  
Cotton Fabric ◽  
Digital Image ◽  
Evaluation System ◽  
Pre Treatment ◽  
Recovery Angle ◽  
Bending Length ◽  
Fabric Surface

Before dyeing, woven cotton fabrics have been passed through different pre-treatments like desizing, scouring, bleaching and mercerising to enhance quality. In every treatment cotton fabric is treated with different chemicals and mechanical processes. After these treatments, the feel of the fabric has been changed. The change in feel or in terms of the hand value of treated fabrics were analysed by determining the bending length, crease recovery angle, SEM, FTIR, surface roughness and smoothness properties. Other physical properties viz. the tear and tensile strength were also evaluated. Fabric surface roughness and smoothness were determined using the Kawabata Evaluation System (KES) and digital image processing method. Using MATLAB software, digital image processing techniques were used to evaluate the roughness index. The study revealed that the pretreatment process alters the fabric surface. Statistical analysis (ANOVA) was carried out using SPSS software in order to establish the relationship between the pre-treatment process effect on the bending length, smoothness and crease recovery angle.

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