Knowledge Management System of Hefei Institute of Physical Science,CAS
An Improved Tool Wear Monitoring Method Using Local Image and Fractal Dimension of Workpiece | |
Yu, Haicheng1; Wang, Kun2,3; Zhang, Ruhai1; Wu, Xiaojun1; Tong, Yulin1; Wang, Ruiyuan1; He, Dedao4 | |
2021-06-15 | |
发表期刊 | MATHEMATICAL PROBLEMS IN ENGINEERING |
ISSN | 1024-123X |
通讯作者 | Wang, Kun(wangkunccc@163.com) |
摘要 | Tool wear is a key factor that dominates the surface quality and distinctly influences the generated workpiece surface texture. In order to realize accurate evaluation of the tool wear from the generated workpiece surface after machining process, a new tool wear monitoring method is developed by fractal dimension of the acquired workpiece surface digital image. A self-made simple apparatus is employed to capture the local digital images around the region of interest. In addition, a skew correction method based on local fast Fourier transformation energy is also proposed for the surface texture direction adjustment. Furthermore, the tool wear quantitative evaluation was derived based on fractal dimension utilizing its high reliability for inherent irregularity description. The proposed tool wear monitoring method has verified its feasibility as well as its effectiveness in actual milling experiments using the material of AISI 1045 in a vertical machining center. Testing results demonstrate that the proposed method was capable of tool wear condition evaluation. |
DOI | 10.1155/2021/9913581 |
关键词[WOS] | OF-THE-ART ; MACHINE ; IDENTIFICATION ; SIGNALS ; DEFECT |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Wenzhou Municipal Major Scientific and Technological Innovation Project[ZG2020023] |
项目资助者 | Wenzhou Municipal Major Scientific and Technological Innovation Project |
WOS研究方向 | Engineering ; Mathematics |
WOS类目 | Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications |
WOS记录号 | WOS:000670627800001 |
出版者 | HINDAWI LTD |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.hfcas.ac.cn:8080/handle/334002/123482 |
专题 | 中国科学院合肥物质科学研究院 |
通讯作者 | Wang, Kun |
作者单位 | 1.Xingji Elect Appliances Co Ltd, Wenzhou 325021, Peoples R China 2.Zhejiang Ind & Trade Vocat Coll, Wenzhou 325002, Peoples R China 3.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Peoples R China 4.Ruiming Ind Co Ltd, Wenzhou 325205, Peoples R China |
推荐引用方式 GB/T 7714 | Yu, Haicheng,Wang, Kun,Zhang, Ruhai,et al. An Improved Tool Wear Monitoring Method Using Local Image and Fractal Dimension of Workpiece[J]. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,2021. |
APA | Yu, Haicheng.,Wang, Kun.,Zhang, Ruhai.,Wu, Xiaojun.,Tong, Yulin.,...&He, Dedao.(2021).An Improved Tool Wear Monitoring Method Using Local Image and Fractal Dimension of Workpiece.MATHEMATICAL PROBLEMS IN ENGINEERING,2021. |
MLA | Yu, Haicheng,et al."An Improved Tool Wear Monitoring Method Using Local Image and Fractal Dimension of Workpiece".MATHEMATICAL PROBLEMS IN ENGINEERING 2021(2021). |
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