Real-time roughness detection method

Abstract

The invention discloses a roughness real-time detection method, and the method comprises the steps that a vehicle body is controlled to run at a constant speed on the surface of a to-be-detected sample according to a path of a set distance, a piezoelectric ceramic piece on the vehicle body generates a voltage analog signal, an analog-digital converter converts the voltage analog signal into a voltage digital signal, and the a processing module performs fast Fourier transform on the voltage digital signal to obtain a frequency domain amplitude M and a corresponding frequency F; and F and M under the conditions that h is in h0 and h1 and d is in d0 and d1 are calculated respectively, a qualified area is obtained after the F and M are marked in a judgment coordinate graph, and finally roughness judgment is conducted, specifically, a vehicle body runs on any to-be-detected surface, all obtained recording points are marked in the judgment coordinate graph, and whether the surface roughness of the to-be-detected sample is qualified or not is judged according to requirements. According to the real-time roughness detection method, the algorithm principle of the data processing module is simple, the calculated amount is small, and whether the roughness of the to-be-detected sample is qualified or not can be rapidly detected.

Description

technical field [0001] The invention relates to the technical field of roughness detection, in particular to a real-time roughness detection method. Background technique [0002] Surface roughness is one of the important attributes of industrial parts, building components and other components. Different construction techniques, application scenarios and evaluation systems have different requirements for roughness. A rough surface must be made on the surface to enhance the bonding force between the old and new concrete and ensure the joint force. During the processing of some parts and components, the roughness needs to be monitored in real time to ensure that the quality of processing and manufacturing meets the requirements. The commonly used roughness detection methods are as follows: [0003] (1) Comparison method: The comparison method is to use the roughness model whose surface roughness height parameter value is known to compare with the measured surface, and judge t...

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Problems solved by technology

[0007] Among the above methods, the comparison method is a non-automated manual detection method, which is slow, poor in continuity, and low in detection efficiency. Secondly, manual inspection is greatly affected by manual operations, which is likely to cause uneven and inaccurate detection results, and it is difficult to accurately grasp the degree of roughness. ; The optical section method is too cumbersome and not often used. It is suitable for research in the measurement room. Its operation is complicated, difficult to get started, and lacks universal applicability; the interferometric method is suitable for surface roughness measurement of precision machining, and has the same problems as the optical section method ;The stylus method is more accurate, but because it needs to touch the surface to be measured, its measurement range is limited, and it cannot quickly measure the overall roughness of a large area, and requires the use of precision instruments, and the cost is relatively high

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