Evaluation of 3D Surface Roughness of Milled Surfaces using Laser Speckle Pattern

Bharathi, S. Shankar; Ratnam, Mani Maran

doi:10.1088/1757-899x/530/1/012022

Cited by 8 publications

(3 citation statements)

References 6 publications

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“…Spatial analyses of the structure of the measured surface provide us with a graphical representation of the profile from different points of view, such as a topographic map or a record of the coordinates' intensity. These measurement methods provide a large amount of information that can be used by an experienced observer [2].…”

Section: Introductionmentioning

confidence: 99%

The Influence of the Wavelength of Laser Light on the Non-Contact Measurement of the Roughness of Shiny Cut Surfaces on Stainless Steel A304 Material

Ružbarský

2024

Applied Sciences

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The article is focused on the study of the effect of laser light with three wavelengths used in a laser profilometer for the measurement of selected roughness parameters of the shiny surface of stainless steel A304 material. The measured results were compared with the results we achieved with the reference contact roughness meter (SJ-400). The findings presented are relevant to the parameters of the experiment outlined within the article. In general, the obtained results make it possible to state that when measuring the roughness of shiny cut surfaces using non-contact laser profilometry, reflections of laser light occur. The relatively best results of measuring the parameters of the roughness of a shiny cut surface on the evaluated material (A304) were achieved by laser light with a wavelength of λ = 445 nm. In contrast, as the surface roughness of the cutting surface of the used material increased, the reflection of laser light decreased. Furthermore, we can state that the values of the roughness parameters Ra and Rz of the shiny surface measured by laser profilometry were several times higher than the values measured by the reference method. In contrast, the non-contact method of laser profilometry is not suitable for accurate measurements of the roughness parameters of shiny surfaces.

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Section: Introductionmentioning

confidence: 99%

The Influence of the Wavelength of Laser Light on the Non-Contact Measurement of the Roughness of Shiny Cut Surfaces on Stainless Steel A304 Material

Ružbarský

2024

Applied Sciences

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“…surface [5,13,14], and roughness measurement based on speckles on the shooting surface formed using a laser [6,[15][16][17], and on speckles on a screen on which light reflected from a laser is projected [18]. In this paper, we use the method proposed in [18] as basis.…”

Section: Introductionmentioning

confidence: 99%

[Paper] Development of System to Classify Speckle Images for Visual Inspection of Cutlery

Isobe

Takimoto

Harakawa

et al. 2021

MTA

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This paper develops a system to visually inspect cutlery based on a simple machine learning algorithm using image features that are robust against overexposure. First, we develop an image acquisition apparatus comprising a laser and a screen that produces speckle images of unique shapes depending on the degree to which the photographed cutlery has been polished. The contribution of this study is to produce speckle images in this way. This enables accurate classification without newly deriving a sophisticated machine learning algorithm in the subsequent processing. We use the speckle images to develop moment-related features that represent the unique shapes and avoid the problem of overexposure. Second, we apply the extreme learning machine, a simple but representative machine learning algorithm, to the obtained features. Experimental results using real cutlery show that our developed system achieved good accuracy and precision regardless of exposure time.

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“…This scattered light may be interfered with, resulting in a speckle effect, which is an unusual pattern of granular structures. There are two distinct schemes for speckle pattern formation [18], as seen in figure 1. The first is called empirical speckle, and the second is called subjective speckle.…”

Section: Introductionmentioning

confidence: 99%

Laser induced surface analysis of acoustic materials for noise reduction

Nath

2021

Laser Phys.

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Every material has its own surface configuration and the surface gets modified when it is treated using some surfactants. The action of surfactants on the material creates a number of elastic skeletal structures which enable the material to be used as acoustic material for absorption of sound. The sensitivity of the material to high intensity of sound has great importance in different technological applications. A laboratory designed noncontact laser based sensor has shown its credential by sensing the surface roughness, which is an essential and sufficient condition for measurement of the sound absorption coefficient. The sensitivity is measured from speckle contrast which provides the suitability of the material for sensing sound intensity. The estimation of surface roughness and the presence of porosity are well recognized by the speckle contrast which helps measure the efficiency of the sound absorption coefficient. The incident of a laser beam in the presence of sound intensity significantly enhances the sound absorption followed by the loss of kinetic energy due to high amplitude vibrations within the pores present on the surface of the material medium exposed under the high intensity of laser light.

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Evaluation of 3D Surface Roughness of Milled Surfaces using Laser Speckle Pattern

Cited by 8 publications

References 6 publications

The Influence of the Wavelength of Laser Light on the Non-Contact Measurement of the Roughness of Shiny Cut Surfaces on Stainless Steel A304 Material

The Influence of the Wavelength of Laser Light on the Non-Contact Measurement of the Roughness of Shiny Cut Surfaces on Stainless Steel A304 Material

[Paper] Development of System to Classify Speckle Images for Visual Inspection of Cutlery

Laser induced surface analysis of acoustic materials for noise reduction

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