Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for detecting injection molding starving defect of cross-flow fan on basis of laser sensor array as well as device

A technology of laser sensors and cross-flow fan blades, which is applied in the direction of optical testing for defects/defects, can solve problems such as the inability to detect small material shortage defects, and achieve the effect of improving recognition rate and recognition reliability

Active Publication Date: 2017-04-26
JIANGSU UNIV
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The detection technology based on the infrared sensor array realizes the online real-time detection of the failure of the material shortage of the cross-flow fan ((1) Song Shoupeng, Zhao Tengfei, etc. Online diagnostic device for the lack of material of the static cross-flow fan: China, ZL201310588858. (2) Song Shoupeng, Zhao Tengfei et al. On-line diagnostic device for material shortage fault of rotary injection molding blade: China, ZL201310589515.5), but there are still small material shortage defects that cannot be detected (2 ) deficiency

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for detecting injection molding starving defect of cross-flow fan on basis of laser sensor array as well as device
  • Method for detecting injection molding starving defect of cross-flow fan on basis of laser sensor array as well as device
  • Method for detecting injection molding starving defect of cross-flow fan on basis of laser sensor array as well as device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments, but the protection scope of the present invention is not limited thereto.

[0044] figure 1 Shown is an implementation of the laser sensor array-based cross-flow fan blade injection molding defect detection device of the present invention, the laser sensor array-based cross-flow fan blade injection molding defect detection device includes a laser emission array, a laser sensor A receiving array, an analog signal processing circuit module, a single chip computer information processing module and a power supply module. The power module includes a multi-channel switching power supply and a step-down regulator circuit. Through the power module, the 220 AC voltage is converted into 2.5V, 3.3V, 5V and ±12V DC voltage, which is used for sensors, single-chip microcomputers, operational amplifiers, 555 Power supply for timers, deceleration moto...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a method for detecting an injection molding starving defect of a cross-flow fan on the basis of a laser sensor array as well as a device. The device comprises a laser emission array, a laser sensor receiving array, an analog signal processing circuit module, a single-chip microcomputer information processing module and a power module, wherein pulse laser signals are emitted by the laser emission array; the laser sensor receiving array receives the pulse laser signals transmitted through the cross-flow fan; the analog signal processing circuit module performs difference and voltage matching on the received pulse laser signals and inputs the processed signals to an A / D interface of a single-chip microcomputer; the single-chip microcomputer information processing module performs real-time feature extraction, feature fusion and decision discernment on the signals subjected to A / D digitization in real time; a message indicating whether the cross-flow fan product is qualified or not is output directly by a display module; setting of detection parameters, control of a detection process and detection data statistics are realized by a human-computer interaction module. The device realizes on-line automatic monitoring of the injection molding starving defect of the cross-flow fan.

Description

technical field [0001] The invention belongs to the field of product quality online monitoring and diagnosis technology research, and in particular relates to a method and device for detecting material shortage defects of cross-flow fan blade injection molding based on a laser sensor array. Background technique [0002] The wind impeller is an important part of the air supply equipment such as air conditioners. It is welded by the injection molded parts of the cross-flow fan blades. The quality of the fan blades affects the air supply stability and noise performance of the equipment. In the production process of injection molded blades, there will be quality problems such as lack of material at the bottom. In the current production process, many companies use manual detection methods to detect material shortage defects. In addition to increasing labor costs and reducing production efficiency, this method also has problems that time-consuming work can easily lead to worker fa...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01N21/88
CPCG01N21/88
Inventor 宋寿鹏乔宗璞杨永徐伟
Owner JIANGSU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products