Automatic Thread Defect Examination System
Source abstract
Abstract
This article addresses a Thread Hole (TH) examination system capable of automatically examining a TH. We introduce a contact-based examination system with simple hardware. Our examination system examines TH defects by observing the torque generated when tightening the Inspection Device (ID) through the TH. A buffer with springs is utilized to overcome instances where the TH is not accurately aligned with the axis of the ID. The examination system observes the TH size utilizing a camera, then automatically performs an examination utilizing the optimal torque threshold associated with the TH size; in this way, our examination system is able to examine a TH regardless of its size. In this paper, the performance of the proposed system utilizing the optimal torque threshold is verified through experiments.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Industrial Vision Systems and Defect Detection · Image and Object Detection Techniques · Optical measurement and interference techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Electronic and Electrical Department, Sungkyunkwan University, Suwon 03063, Korea
References (19)
Show source-provided references
1. Dong, Z., Sun, X., Chen, C., and Sun, M. (2018). A Fast and On-Machine Measuring System Using the Laser Displacement Sensor for the Contour Parameters of the Drill Pipe Thread. Sensors, 18.10.3390/s18041192 ↗
2. In-process inspection of internal threads of machined automotive parts. Optical Inspection and Metrology for Non-Optics Industries
3. Non-contact Measurement of Damaged External Tapered Thread Based on Linear Array CCD10.1088/1742-6596/48/1/127 ↗
4. Three-dimensional measurement of small inner surface profiles using feature-based 3-D panoramic registration10.1117/1.OE.56.1.014108 ↗
5. A novel internal thread defect auto-inspection system10.1007/s00170-009-2211-8 ↗
6. Robertson, C., and Fisher, R. (June, January 28). Shape recovery and analysis of large screw threads. Proceedings of the Third International Conference on 3-D Digital Imaging and Modeling, Quebec City, QC, Canada.
7. Fiberoptics for In-Line Production Measurement10.1016/S0007-8506(07)61272-4 ↗
8. Tubing thread inspection by magnetic flux leakage10.1016/j.ndteint.2005.06.005 ↗
9. A Study of the Automated Eddy Current Detection of Cracks in Steel Plates10.1007/s10921-019-0647-9 ↗
10. Wang, S., Xia, X., Ye, L., and Yang, B. (2021). Automatic Detection and Classification of Steel Surface Defect Using Deep Convolutional Neural Networks. Metals, 11.10.3390/met11030388 ↗
11. A Steel Surface Defect Recognition Algorithm Based on Improved Deep Learning Network Model Using Feature Visualization and Quality Evaluation10.1109/ACCESS.2020.2979755 ↗
12. A New Steel Defect Detection Algorithm Based on Deep Learning10.1155/2021/5592878 ↗
13. Newvistacorp (2022, June 05). Thread Check with Newvistacorp. Website. Available online: https://www.newvistacorp.com/contact-vs-non-contact-thread-gaging/.
14. Geometric error modeling of the contact probe in a three-dimensional screw thread measuring machine10.1016/j.measurement.2022.111026 ↗
15. Design and characteristic research of contact probe for high-precision 3D thread-measuring machine10.1007/s00170-021-08345-z ↗
16. Behco (2022, June 05). Thread Check with SMAC. Website. Available online: https://www.behco.com/smac-thread-check/.
17. McMillan, G.K., and Considine, D.M. (1999). Process/Industrial Instruments and Controls Handbook, McGraw-Hill. [5th ed.].
18. RaspberryPi (2022, June 05). Raspberry Pi Website. Website. Available online: https://www.raspberrypi.org/.
19. Opencv (2022, June 05). Template Matching. Website. Available online: https://docs.opencv.org/master/d4/dc6/tutorial_py_template_matching.html.