Inspection of reground drill point geometry using three silhouette images

Hazra, Lakshman; Kobayashi, Hideo; Kiryu, Takayoshi; Hashimoto, Yoshiyuki; Kuroda, Takaharu; Tsuchiya, Yoshihiro; Sakuma, Itaru

doi:10.1016/s0924-0136(02)00120-6

Cited by 7 publications

(4 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hazra et al [4] presented a computer aided inspection system for drills by using a contact probe-type instrument. Hazra et al [5] later proposed a method that measured the geometry of drill points of microdrills by using three CCD cameras to obtain the silhouette of flank surfaces, and fitting the coordinate data to mathematical model, which was optimized by genetic algorithms, to estimate five geometry parameters. Kuang [7] used machine vision to inspect microdrills, but their method required a precise alignment by translation and rotation.…”

Section: Microdrill Inspection and Previous Workmentioning

confidence: 99%

“…Many industrial inspection tasks such as textile [13], printed circuit boards (PCBs) [17], ball grid arrays (BGA) [20], passive components [19], electric components [8], wire bonding for Integrated Circuits (IC) [9,18], machine tools [5] and profile matching for machined parts [1], have used machine vision inspection to improve productivity and quality management [10,11,15]. In order to achieve high efficiency and effectiveness in production, the development of automated visual inspection systems is essential.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Using Eigenvalues of Covariance Matrices for Automated Visual Inspection of Microdrills

Tien

Yeh

2005

Int J Adv Manuf Technol

View full text Add to dashboard Cite

This paper proposes a translation, rotation, and template-free automated visual inspection scheme that detects microdrill defects using the eigenvalues of covariance matrices. We first derived the colour images of microdrills and extracted the boundary of the first facets. Then, the smaller eigenvalues of the covariance matrices of given regions of support were calculated for boundary representation, and they were thresholded to separate the boundaries into segments. The least square linear regression method was used to fit the segments into linear equations. Eventually, the defects were detected by three inspection rules that measure five features of microdrills including: gap distance, parallel, and enclosed angles, accordingly. The proposed scheme was implemented in C++ with a graphical user interface environment. Fifteen microdrills, digitized without alignment, were used to verify the proposed inspection process. Experimental results show that the proposed scheme reliably achieves the inspection of microdrills.

show abstract

Section: Microdrill Inspection and Previous Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Using Eigenvalues of Covariance Matrices for Automated Visual Inspection of Microdrills

Tien

Yeh

2005

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…The well-known textbook provides the overall information about digital image processing approaches [5]. Several researchers have studied the tool wear measurement, geometry inspection, or tool condition monitoring by image processing because of the great significance [6][7][8][9][10][11][12]. [13] presented a tool wear measuring system for end mills by using a CCD camera and an exclusive jig.…”

Section: Introductionmentioning

confidence: 99%

Optical Image Inspection of Cutting Tool Geometry for Grinding Machines

Chen

Chang

Lee

et al. 2012

AMR

View full text Add to dashboard Cite

The purpose of this paper is to develop a tool image inspection and measuring system by C++ Builder. Firstly, tool images are captured online for geometry analysis via a disassembled inspection mechanism mounted on the Z-axis of a five-axis tool grinding machine. One can use the controller of the machine to set the coordinate location of the mechanism and implement the humanized functions of autofocusing and automatic measurements. The digital images are calculated by the subpixel approach to improve the measurement resolution, and filtered the edge point location by Hough transform to upgrade the precision. The human machine interface (HMI) has a tutoring manner for users to operate the measuring procedures. These proposed functions can measure the geometric dimension such as the diameter, radius, and angle of different end mills or drills after finishing the tool grinding processes. Furthermore, the grinding processes can refer the online measured results to compensate the tool dimension. Therefore, this online image inspection and measuring system can improve the precision of tool grinding, product quality, and reduce the product cost. Finally, experiments are presented to show that the repeatability errors are ± 2 μm and ± 1 μm for the diameter and the radius measurements of end mills, respectively. The percentage error is 0.116％ for measuring the point angle of a drill. Thus, the results demonstrate the effectiveness of the proposed method that can be employed to measure tool geometry of different cutting tools.

show abstract

“…Subsequently, the amount of flank wear was captured using the binary, where the wear land is white and its background is black. Hazra et al [2] used three silhouette images of flank surface to measure the geometry of drill points of drills, and fitted the coordinates to a mathematical model of the drill point geometry, which was optimized by genetic algorithm, to estimate five geometry parameters.…”

Section: Introductionmentioning

confidence: 99%