A geometry-based path optimization approach for motion control of the NC grinding machine

Zhang, Fan; Gong, Jie Kai; Liu, Yijun; Xia, Wenfei; Huang, Maofang; Fu, Yucan

doi:10.1201/9781315116259-109

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2017

Publication Types

Select...

Other1

Relationship

Self Cite1

Independent0

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Huibin Yang proposed a graphic information extraction method to transform the graphic information identified from DXF file into bottom motion controller's codes which can drive the engraving machine [3]. Chen Shumin and Fan Zhang analyzed DXF files and extracted the coordinate data, then generated NC codes for the cutting path of layout results [4,5]. In short, studying the DXF file is advantageous to the second development of drawing software.…”

Section: Introductionmentioning

confidence: 99%

Tire Tread Pattern Recognition and Feature Analyzing Based on Hu Moment

Zhang¹,

Li²,

Li³

et al. 2017

Proceedings of the 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)

Self Cite

View full text Add to dashboard Cite

Abstract. This paper aims to recognize the tire tread pattern from DXF (Drawing Interchange Format) file and to analyze its basis feature. A DXF file analyzing algorithm is used to obtain the data according to the formulate of DXF; a feature analyzing approach based on Hu moment is utilized to compute the seven characteristic moments and to confirm the invariance of pattern image under image rotation, scaling, and translation; a feature analyzing system is developed by Java to show the basic feature. The experimental results show that the proposed system has a good achievement and can get a series of ideal parameters for the further research.

show abstract

Section: Introductionmentioning

confidence: 99%