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

doi:10.1155/2021/9913581

	An Improved Tool Wear Monitoring Method Using Local Image and Fractal Dimension of Workpiece
	Yu, Haicheng 2; Wang, Kun 1,4; Zhang, Ruhai 2; Wu, Xiaojun 2; Tong, Yulin 2; Wang, Ruiyuan 2; He, Dedao 3
刊名	MATHEMATICAL PROBLEMS IN ENGINEERING
	2021-06-15
卷号	2021
ISSN号	1024-123X
DOI	10.1155/2021/9913581
通讯作者	Wang, Kun(wangkunccc@163.com)
英文摘要	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.
资助项目	Wenzhou Municipal Major Scientific and Technological Innovation Project[ZG2020023]
WOS关键词	OF-THE-ART ; MACHINE ; IDENTIFICATION ; SIGNALS ; DEFECT
WOS研究方向	Engineering ; Mathematics
语种	英语
出版者	HINDAWI LTD
WOS记录号	WOS:000670627800001
资助机构	Wenzhou Municipal Major Scientific and Technological Innovation Project
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/123481]
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.Zhejiang Ind & Trade Vocat Coll, Wenzhou 325002, Peoples R China 2.Xingji Elect Appliances Co Ltd, Wenzhou 325021, Peoples R China 3.Ruiming Ind Co Ltd, Wenzhou 325205, Peoples R China 4.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, 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).