An evaluation of surface roughness parameters measurement using vision-based data

Al-Kindi, Ghassan; Shirinzadeh, Bijan

doi:10.1016/j.ijmachtools.2006.04.013

Cited by 122 publications

(50 citation statements)

References 14 publications

(16 reference statements)

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“…To overcome these difficulties, special optical methods combining speckle and scattering phenomena coupled with image analysis were used to calculate the roughness on a moving surface [1,6]. Other studies [11][12][13] have exploited rapid methods, consisting of a visual monitoring system combined with a known illumination and image analysis to assess the surface roughness but without directly monitoring a tribological process. The present study combines an optical system with image analysis techniques to evaluate the evolution of the contact area with sliding time.…”

Section: Introductionmentioning

confidence: 99%

A simple, fast and low-cost method for in situ monitoring of topographical changes and wear rate of a complex tribo-system under mixed lubrication

Meylan

Dogan

Sage

et al. 2016

Wear

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a b s t r a c tThis contribution presents a simple, fast, and low-cost method to track in situ and in real time the evolution of the surface topography. The method combines an optical method (collimated light) with image analysis. The method was validated using a complex tribo-system; a reciprocal sliding of a rough cast iron counter-piece under mixed lubrication.We demonstrated that the optical method is well suited to observe the evolution of the contact areas during sliding. We also proved that the contact area occurs on the highest peaks of the surface roughness. Finally, we estimated the wear rate by combining the information of the contact area and the Abbott-Firestone curve obtained by profilometry. The wear rate was found to be 40 times higher in the early stage of sliding as compared to the steady-state. The running-in of this particular system was found to be approximately 10 h.In addition to be simple, fast and low-cost, the proposed method has other advantages. It is adaptable for real industrial tests conditions. The fast data analysis allows the wear rate of a tribo-system being determined in real-time. This method characterise the real contact areas of the observed piece, which is difficult, if not impossible, to obtain by profilometric observation alone.

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Section: Introductionmentioning

confidence: 99%

A simple, fast and low-cost method for in situ monitoring of topographical changes and wear rate of a complex tribo-system under mixed lubrication

Meylan

Dogan

Sage

et al. 2016

Wear

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“…The basic Prewitt mask utilizes two 3 Â 3 masks, as shown in Figure 2b, to be applied in the image with a convolution operation (Kindi and Shirinzadeh 2007).…”

Section: Template For Synchronous Multiple-comparisonmentioning

confidence: 99%

An Automatic Inspection Method for the Fracture Conditions of Anisotropic Conductive Film in the TFT-LCD Assembly Process

Lin

Huang

Lin

et al. 2011

International Journal of Optomechatronics

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In this study an automatic optical inspection system is presented to evaluate the fracture and deformation status of conducting particles of anisotropic conductive film in the TFT-LCD assembly process. The amount of deformation and quantity of conducting particles in the test pattern can be automatically evaluated by image analysis. A specific operation is carried out in the image processing method, and the calculation of the image gradient operator is used to produce a preferable contrast between the processed particle image and the background. The thinning processing method is applied for information reduction and information creation. An amount of samples are taken with a target template for synchronous multiple-comparison, and the optimal threshold of the binary image is obtained. This study utilizes the assistance of image processing technology to inspect the fracture conditions of anisotropic conductive film in the TFT-LCD assembly process. This system can decrease the defection rate of products, obtain over 90% recognition accuracy even in noisy environments, and will be verified in an automatic production line.

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“…Surface monitoring is usually carried out by manually examining the machined surfaces by using surface stylus devices. According to Al-Kindi and Shirinzadeh [1], this procedure is time consuming, labour intensive and inaccurate due to disturbances from the surroundings.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Visual Control of Chip Size for Constant Surface Roughness

Zuperl¹,

Cus²

2015

Int. j. simul. model.

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A visual cutting chip control system is designed to automatically adjust feed rate in order to maintain constant surface roughness in ball-end milling. The proposed visual control system has a modular structure, consisting of an optical vision system (OVS), an adaptive cutting chip size-control loop for a feed servo and a surface roughness in-process prediction model. The OVS is employed to acquire the cutting chip sizes form the camera. A division controller is used to control the chip size by modifying the feed rate and consequently maintaining surface roughness constant. Surface roughness is predicted based on the detected chip size. The efficiency of the chip control strategy is tested by series of simulation with various step changes in the cutter/workpiece contact area. For simulation purposes an experimentally validated milling plant simulator with an adopted feed servo drive model and a cutting chip size model is employed. An adaptive neural inference system (ANFIS) is established to effectively simulate the cutting chip size in ball end-milling. In simulation, the reference chip size and consequently the reference surface roughness are well maintained when the cutting-depth profile of a workpiece is varying step-wise or continuously.

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An evaluation of surface roughness parameters measurement using vision-based data

Cited by 122 publications

References 14 publications

A simple, fast and low-cost method for in situ monitoring of topographical changes and wear rate of a complex tribo-system under mixed lubrication

A simple, fast and low-cost method for in situ monitoring of topographical changes and wear rate of a complex tribo-system under mixed lubrication

An Automatic Inspection Method for the Fracture Conditions of Anisotropic Conductive Film in the TFT-LCD Assembly Process

Simulation and Visual Control of Chip Size for Constant Surface Roughness

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