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Plate-fin heat exchanger fin machining quality online inspection method based on machine vision

A technology of plate-fin heat exchanger and machine vision, applied in the direction of neural learning methods, instruments, measuring devices, etc., can solve the problems of expensive equipment, not supporting online inspection of fin processing quality, time-consuming and labor-intensive, etc.

Active Publication Date: 2020-10-27
HANGZHOU DIANZI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This experimental method is expensive, time-consuming and labor-intensive, and does not support online inspection of fin processing quality

Method used

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  • Plate-fin heat exchanger fin machining quality online inspection method based on machine vision
  • Plate-fin heat exchanger fin machining quality online inspection method based on machine vision
  • Plate-fin heat exchanger fin machining quality online inspection method based on machine vision

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Experimental program
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Effect test

Embodiment Construction

[0037] The present invention is further analyzed below in conjunction with specific examples.

[0038] figure 1 Schematic diagram of the structure of the plate-fin heat exchanger; figure 2 is the burr-free fin cutout image; image 3 Cutout image for fin with burrs.

[0039] Such as Figure 4 The online inspection method of fin processing quality of plate-fin heat exchanger based on machine vision, specifically includes the following steps:

[0040] Step (1), obtaining the grayscale image of the fin incision;

[0041] The grayscale image of the fin incision was obtained by using LED light source and industrial high-definition image sensor (CCD).

[0042] Step (2), preprocessing of the grayscale image of the fin incision:

[0043] 2.1 Due to the reflection of the fin incision image acquired under the LED light source, some points are relatively bright, which may drown important information. In order to improve the flexibility and accuracy of recognition, the grayscale ima...

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Abstract

The invention discloses a plate-fin heat exchanger fin machining quality online inspection method based on machine vision. Based on the above limitations, machine vision, image processing, pattern recognition and deep learning technologies are adopted, a characteristic parameter set related to the geometrical shape, the size, the form and the distribution of notch burrs and the like of the fin isconstructed, a model of a mapping relationship between the characteristic parameter set and an f-Re resistance characteristic curve representing the processing quality of the fin notch is further established, and the processing quality of the fin notch is inspected on line accordingly. According to the method, automatic coupling between fin notch burr characteristics and f-Re resistance characteristic curves can be achieved, so that the notch machining quality is inspected on line, and the method has automation, rapidity and real-time performance which cannot be achieved by a traditional inspection method.

Description

technical field [0001] The invention belongs to the field of machine vision used in the inspection of industrial product processing quality, and specifically relates to an online inspection method for the application of fluid mechanics theory, image processing and pattern recognition, machine vision and artificial intelligence technology to the quality of industrial products. Background technique [0002] The plate-fin heat exchanger is a micro-narrow channel heat exchange device with high heat transfer efficiency and compact structure (such as figure 1 Shown), are widely used in petrochemical, aerospace, energy and power and other fields. The fin is the core component of the plate-fin heat exchanger. It is formed by a combined stamping process and brazed to form a plate-fin heat exchanger. The processing quality directly affects the flow performance of the plate-fin heat exchanger, which in turn affects the heat exchanger thermal performance. In the process of fin process...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62G06N3/04G06N3/08G01N21/88
CPCG06T7/0004G06N3/08G01N21/8851G06T2207/10016G06T2207/20081G06T2207/20084G06T2207/30108G01N2021/8887G06N3/047G06N3/048G06N3/045G06F18/2415G06F18/241Y02P90/30
Inventor 姜周曙侯飞虎董勇夏雨栋李鑫
Owner HANGZHOU DIANZI UNIV
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