Evaluation of surface roughness of a machined metal surface based on laser speckle pattern

Xu, Dong; Yang, Quan; Dong, Feng; Krishnaswamy, Sridhar

doi:10.1049/joe.2018.5057

Cited by 17 publications

(13 citation statements)

References 34 publications

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“…The optical setup of the device will be made as per the protocol reported in (Yoon et al 2016 ; Xu et al 2018 ). The proposed design of laser speckle monitoring device is discussed in (Xu et al 2018 ). Here the coherent light source is a laser operated at 633 nm wavelength.…”

Section: Methods Developmentmentioning

confidence: 99%

“…The scattered light from the sample will be captured by a CCD camera with a resolution of 5 × 5 pixels, which is placed in parallel to the sample surface. The lens can be fixed as per reported in (Xu et al 2018 ). When the laser beam is diffracted from the sample surface, the random granular pattern will be generated which is known as laser speckle.…”

Section: Methods Developmentmentioning

confidence: 99%

“…UVC radiation denatures the DNA of microorganisms, which have a high absorbance of the UV spectrum at 254 nm, and thus referred to as industry-standard (Walker et al 2013;Summerfelt 2003). Some studies suggest that the most common bacteria and viruses can be inactivated by UV doses of 30 mJ/cm 2 at a wavelength of 254 nm (Wedemeyer 1996). Microwave irradiation, with a frequency range of 2455 ± 30 MHz, has also shown germicidal property (Kang and Kato 2014).…”

Section: Introductionmentioning

confidence: 99%

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Portable sterilizer with microbe content detection device

et al. 2021

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Background Infectious diseases, such as the latest COVID pandemic, caused by microorganisms like bacteria and virus, wreak havoc shaking human civilization with its rapid infection rate, and high number of mortalities. In case of a contagious disease, the virus can survive on any surface over a period of time and can be transferred to the human host through touching those surfaces unknowingly. Cleaning those possible surfaces to which these microorganisms can cling onto is one of the major ways to curb the spread. The aim of this study was to design a sterilizer which can clean such surfaces of daily used items easily within a certain period of time and can assess the cleaning efficacy by estimating the presence of microbes before and after sanitization. Method development To achieve this goal, we propose a portable sterilization unit that contains a sterilization chamber fitted with a microbe content detector. The sterilization chamber will cleanse the surfaces off the microbes using ultraviolet radiation. The chamber can be portable and at the same time big enough to accommodate items of daily use, like watch, wallet, clothes, utensils to even foods for single-house application. The microbe content detector will detect the success of the sterilization procedure by examining the time-lapse laser speckle images captured by a high-speed camera by mean of image processing algorithm, such that the user can determine whether further sterilization is required. Conclusions Microbe content detection device associated with the conventional sterilization procedure will give an assessment of the effectiveness of the sterilization. Successful implementation of sterilization for a wide variety of items of everyday use aided with microbe content detection technique is first of its kind and should be an effective tool for use in large communities, offices and public places for effective sterilization to help fight against the spread of infectious diseases.

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Section: Methods Developmentmentioning

confidence: 99%

Section: Methods Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Portable sterilizer with microbe content detection device

et al. 2021

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“…Several techniques have been proposed for the inspection of metal surfaces that may be applied to the visual inspection of the koba. Such methods can be divided into contact [3,4] and non-contact methods [5][6][7]. Contact methods damage the surface of the object by a stylus and degrade its visual quality [8].…”

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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“…Therefore, the focus is on innovative methods for the analysis of surfaces of cold rolled sheets. For example, Dong Xu et al performed an experimental study of the digital speckle patterns generated by rough surfaces illuminated by a laser [1], Sheng-He Chen et al proposed an adaptive regression smoothing filtering method for on-line surface roughness detection of cold rolled strip steel [2], R. Ahmed and M. P. F. Sutcliffe described identification of surface features on coldrolled stainless steel strip to automatically detect pits and roll marks that can be observed in optical or SEM micrographs [3]. Szarková et al proposed a method of surface evaluation of steel strips formed by longitudinal cold rolling with focus on the impact of grain size of material with a rolling reduction and rolling force [4].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Periodicities in Surface Topography of Cold rolled sheets Using Data Captured by Camera System

Zavadil

Bartunek

Fojtik

2020

Measurement Science Review

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A method for surface analysis of cold rolled sheets is proposed in this paper. The approach is based on a low-cost specially built camera system followed by spectral analysis of the data captured from metal surfaces. The focus is on the changes in the surface topography caused by cold rolling with emphasis towards periodicities in the processed surface. Angular profile of the spectrum is calculated and used to display periodicities in surface topography and show their direction. The results obtained by using the proposed system were compared with results obtained from the optical profilometer MicroProf FRT. The experiments show that cold rolling creates marks on the surface of the material, which represent periodicities that can be effectively detected by the proposed method and camera system. Even though the camera system is not able to measure precise surface roughness, it is able to detect periodicities and the results of spectral analysis are comparable with the results from the optical profilometer.

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Evaluation of surface roughness of a machined metal surface based on laser speckle pattern

Cited by 17 publications

References 34 publications

Portable sterilizer with microbe content detection device

Portable sterilizer with microbe content detection device

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

Analysis of Periodicities in Surface Topography of Cold rolled sheets Using Data Captured by Camera System

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