An Improved Tool Wear Monitoring Method Using Local Image and Fractal Dimension of Workpiece

doi:10.1155/2021/9913581

HFCAS OpenIR

	An Improved Tool Wear Monitoring Method Using Local Image and Fractal Dimension of Workpiece
	Yu, Haicheng 1; Wang, Kun2,3 ; Zhang, Ruhai 1; Wu, Xiaojun 1; Tong, Yulin 1; Wang, Ruiyuan 1; He, Dedao 4
	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	被引频次：8[WOS] [WOS记录] [WOS相关记录]
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).