Surface roughness evaluation of electrical discharge machined surfaces using wavelet transform of speckle line images

Ali, Jafar; Jailani, H. Siddhi; Murugan, M.

doi:10.1016/j.measurement.2019.107029

Cited by 28 publications

(7 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[6] Chang et al, used the Daubechies wavelets for non-contact surface roughness assessment of specimens by shaping, grinding, and polishing processes [7]. J. Mahashar Ali et al, used the wavelet transform to analyze electrical discharge machined surfaces [8].…”

Section: Waveletmentioning

confidence: 99%

Functional correlation surface texture / grip of a deposit : case of NiP

et al. 2022

View full text Add to dashboard Cite

This work studies a functional correlation between different texture parameters and the adherence of NiP coating on a metal substrate. Multiple surfaces with different milling feed rate and coated with NiP went through a pull-off adhesion test. This study determined through texture analysis functional correlation between characterization of surface topographies and the strength measured during the test. In order to study if a multi-scale approach improve the correlation, a “conventional” method based on ISO 25178 procedure and a multi-scale method based on wavelet filtering are compared.

show abstract

Section: Waveletmentioning

confidence: 99%

Functional correlation surface texture / grip of a deposit : case of NiP

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Attempts are made to use wavelet analysis to describe surface roughness also after erosion treatments. An example can be the work [26]. In the case of honed surfaces, the use of wavelet analysis to describe the surface condition was proposed in [27].…”

Section: Wavelet Analysismentioning

confidence: 99%

Analysis of the Possibility of Using Wavelet Transform to Assess the Condition of the Surface Layer of Elements with Flat-Top Structures

2020

View full text Add to dashboard Cite

The paper focused on a topic related to the possibilities of using wavelet analysis to evaluate the changes in the geometrical structures of the surfaces arising during the honing process with whetstones with variable granularity. The cylinder liners of the combustion engine are machined elements. The basics of the wavelet analysis and the differences between filtering with standardized filters (e.g., Gauss filter), Fourier analysis, and the analysis of the results obtained when measuring the surface roughness with other wavelets were described. Trials of honing four cylinder liners were carried out. Roughness measurements of 3D spatial structures of the prepared liners were made. The principle of selecting wavelets for roughness assessment of structures with cross-hatch pattern was described. Roughness structures generated on the honed surfaces of cylinder liners were assessed using Gaussian filtration and Morlet, Daubechies Db6, and Mexican hat wavelets. In order to demonstrate the differences generated when the Gaussian filtration and selected wavelets were used on surface structures, the surfaces obtained with the use of these filtering tools were subtracted from each other, which allowed obtaining information about the changes occurring on the assessed surfaces, which were generated after the use of various filtering tools. For the assessed surfaces, during the subtraction operation, the mean square error was calculated, informing about the degree of similarity of both compared surfaces. The result of the work carried out is the creation of basic recommendations for the selection of wavelets when assessing honed surfaces with different degrees of regularity of the traces generated on them.

show abstract

“…Study of surface texture is very complex as different machining processes provide different textures. The surface texture tolerance is averaged by arithmetic average height (Ra) a general surface texture tolerance parameter used in quality control (Ali, Jailani, and Murugan 2020). The standard arithmetic average method (Ra in microns) is selected for the measurement.…”

Section: Surface Texture Tolerance Measurementmentioning

confidence: 99%

Development of surface texture evaluation system for highly sparse data-driven machining domains

Raju

Ramesh

Varma

2020

International Journal of Computer Integrated Manufacturing

View full text Add to dashboard Cite

Dimensional, geometrical and surface texture tolerances are significant issues to be addressed by manufacturing industries. Dimensional and geometrical tolerance estimation systems are used by several machining industries, whereas surface texture tolerance estimation systems are rare. In general-purpose machines, several machining operations are performed and huge machining data are required for the development of surface texture tolerance estimation model. The necessity for sparse data modeling is the need of the hour and such modeling techniques reduce costly trial and error approaches. Shoulder milling operations are performed on mild steel workpieces. Experimentation is performed at diverse cutting conditions, and surface texture tolerances of the machined components are measured. Big data computation is being accomplished by contemporary tools compared to sparse data evaluation. The novelty of this work is to develop a system capable of surface texture tolerance evaluation from highly sparse learning data, as big data generation involves cost and time for experimentation. Flower Pollination Algorithm (FPA) models are developed for the highly sparse data for surface roughness estimation. Two different FPA techniques, namely, Maximum (Max) and Average (Avg) are used, and a comparison between the methods mentioned above is made. An operator-friendly adaptive performance enhancement system is developed to evaluate the corresponding surface texture tolerance for the given operating parameters.

show abstract

Surface roughness evaluation of electrical discharge machined surfaces using wavelet transform of speckle line images

Cited by 28 publications

References 44 publications

Functional correlation surface texture / grip of a deposit : case of NiP

Functional correlation surface texture / grip of a deposit : case of NiP

Analysis of the Possibility of Using Wavelet Transform to Assess the Condition of the Surface Layer of Elements with Flat-Top Structures

Development of surface texture evaluation system for highly sparse data-driven machining domains

Contact Info

Product

Resources

About