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A STEP-NC Compatible Cutting Tool Detection System
| Content Provider | Scilit |
|---|---|
| Author | Zhao, Gang Zhang, Yu Xiang Zhang, Peng Fei Xiao, Wen Lei |
| Copyright Year | 2018 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering Traditional cutting tool detection system cannot meet the needs of modern manufacture. To improve the automation and intelligence of processing, a STEP-NC compatible cutting tool detection system is needed. This paper designed a cutting tool detection system based on machine vision. Using pattern recognition, the type of cutting tool is recognized. Using coordinate system transform and stereo vision, the parameters which are defined in STEP-NC and position information of cutting tool are measured. Through experiment, this detection system is working well with industrial robot. It improves the efficiency and accuracy compared with traditional method. |
| Related Links | https://iopscience.iop.org/article/10.1088/1757-899X/382/4/042017/pdf http://iopscience.iop.org/article/10.1088/1757-899X/382/4/042017/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/382/4/042017 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 4 |
| Volume Number | 382 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2018-07-12 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Manufacturing Engineering Step Nc Tool Detection System Cutting Tool Detection |
| Content Type | Text |
| Resource Type | Article |
