Paper 31: Surface Finish Assessment by an Electrical Capacitance Technique

Sherwood, K. F.; Crookall, J.R.

doi:10.1243/pime_conf_1967_182_332_02

Cited by 11 publications

(11 citation statements)

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“…The instrument can produce output from the mechanical probe to an electrical signal so that substantial magnifications could be achieved. Talysurf that used a stylus to measure surface roughness was made in Britain in 1940 [18]. Since then, many countries have developed many types of instruments: the microscopes for measuring surface roughness were made in Germany and Russia in 1951 and 1958 [19]; Talysurf-5 that uses a computer to process data and profile was invented by Taylor-Hobson in 1975.…”

Section: Brief Review Of Current Objective Techniques For Surface Evamentioning

confidence: 99%

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A New Evaluation Method for Surface Finish of Composite Automotive Panels Using Waveform Analysis

Hoa

Ganesan

2009

Journal of Composite Materials

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The surface finish of composite plates made using Resin Transfer Molding of glass/polyester is studied. A surface profilometer is used to measure the surface profile and to record raw data. The objective is to develop an objective method (rather than using human judgment) to differentiate the quality of one surface from another. Initially commonly used current techniques are utilized to assess the quality of the surface finish. These include subjective evaluation through a survey of observations from a group of people; the use of the average amplitude of the signals, frequency analysis, and filtering. For surfaces that have approximate quality, human visual observation can differentiate the quality between the surfaces, but the objective methods (average amplitude, frequency spectrum, and filtering) cannot. A new objective technique is found to be able to distinguish surfaces of approximate quality. This uses the comparison between the parameters of a reference good surface to those of the surface under consideration. A comparative index can be obtained to indicate the degree of similarity between the surface under study and the reference (good) surface.

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Section: Brief Review Of Current Objective Techniques For Surface Evamentioning

confidence: 99%

“…One coordinate represents materials, the other represents traces, and the third one is associated with samples. In this way, cross correlations between painted steel plate and composite plates can be calculated by Equation (18) [44]. …”

Section: Correlation Analysismentioning

confidence: 99%

A New Evaluation Method for Surface Finish of Composite Automotive Panels Using Waveform Analysis

Hoa

Ganesan

2009

Journal of Composite Materials

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“…13,17 Likewise, contortions can be detected by observing changes in the resistance or capacitance of a physically conformable electronic sensor. 18,19 On the other hand, the acoustic sensors are based on capturing an acoustic beam reflected from the (contorted) surface and interfering it with a reference acoustic beam. [20][21][22] The aforementioned approaches afford several important advantagesfor example, mechanical sensors can be easily implemented, electronic sensors can be economical, and acoustic sensors can be naturally amenable to surface area scaling.…”

Section: Introductionmentioning

confidence: 99%

Probing micron-scale distributed contortions via a twisted multicore optical fiber

Ahmad¹,

Westbrook²,

Ko³

et al. 2019

APL Photonics

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Continuous measurement of small length scale contortions along an arbitrary path is a highly relevant goal within many branches of engineering and technology. An optical fiber-where the probing light propagates within a confined and shielded region-presents an ideal platform for developing the distributed contortion-sensors. In the past, significant progress has been made in developing optical fiber sensors, but a robust and high-resolution distributed contortion-sensor has not been reported in detail. Here, we report the first distributed measurements of fiber contortions with an ultrahigh sensitivity-≤0.3 µm in the transverse plane, 40 µm longitudinal spatial step size, and ≤8 µm resolution for periodic contortions in the longitudinal plane-via a Bragg-grating-inscribed twisted multicore optical fiber. The results are in excellent agreement with the predictions from the Euler-Bernoulli beam-bending model that relates the applied force with the fiber microcontortions. Our distributed-sensor holds promise for a widespread application within a diverse range of fields including biotechnology, robotics, transportation, geology, and security.

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“…It is a potential technique to be used both on-line and off-line assessment of surface roughness. Few attempts have been carried out using the capacitive sensor to predict the surface roughness of the machined surface [16,17]. They have used a 0.135 in (3.42 mm) effective diameter electrode to measure the roughness.…”

Section: Introductionmentioning

confidence: 99%

Measurement, Modeling and Evaluation of Surface Parameter Using Capacitive-Sensor-Based Measurement System

Murugarajan

Samuel²

2011

Metrology and Measurement Systems

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Surface roughness parameter prediction and evaluation are important factors in determining the satisfactory performance of machined surfaces in many fields. The recent trend towards the measurement and evaluation of surface roughness has led to renewed interest in the use of newly developed non-contact sensors. In the present work, an attempt has been made to measure the surface roughness parameter of different machined surfaces using a high sensitivity capacitive sensor. A capacitive response model is proposed to predict theoretical average capacitive surface roughness and compare it with the capacitive sensor measurement results. The measurements were carried out for 18 specimens using the proposed capacitive-sensor-based non-contact measurement setup. The results show that surface roughness values measured using a sensor well agree with the model output. For ground and milled surfaces, the correlation coefficients obtained are high, while for the surfaces generated by shaping, the correlation coefficient is low. It is observed that the sensor can effectively assess the fine and moderate rough-machined surfaces compared to rough surfaces generated by a shaping process. Furthermore, a linear regression model is proposed to predict the surface roughness from the measured average capacitive roughness. It can be further used in on-machine measurement, on-line monitoring and control of surface roughness in the machine tool environment.

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Paper 31: Surface Finish Assessment by an Electrical Capacitance Technique

Cited by 11 publications

References 0 publications

A New Evaluation Method for Surface Finish of Composite Automotive Panels Using Waveform Analysis

A New Evaluation Method for Surface Finish of Composite Automotive Panels Using Waveform Analysis

Probing micron-scale distributed contortions via a twisted multicore optical fiber

Measurement, Modeling and Evaluation of Surface Parameter Using Capacitive-Sensor-Based Measurement System

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