Development and Implementation of a Simplified Tool Measuring System

Chen, Jenn-Yih; Lee, Bean-Yin; Lee, Kuang-Chyi; Chen, Zhao-Kai

doi:10.2478/v10048-010-0020-8

Cited by 7 publications

(11 citation statements)

References 6 publications

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“…Cameras have played important roles in measurement [1,3,13]. The line-scan camera has its distinctive advantages, such as low data transmission, high scanning frequency and uniform image background, which make it especially suitable for the imaging of a high-speed object.…”

Section: Resultsmentioning

confidence: 99%

Ball's Motion Estimation Using a Line-Scan Camera

Zhao¹,

Wen²

2011

Measurement Science Review

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An original method is proposed for estimating the position and velocity of a moving ball using a single line-scan camera. The method consists of two steps: firstly, the ball's initial position and velocity are determined by several key points in the image, and secondly, these parameters are further refined by a model-based optimization algorithm. The algorithm achieves accurate parameter estimation by matching the projection contour of the real ball and that of the same size sphere model. Finally, the relevance and accuracy of the method are experimentally confirmed on synthetic and real images.

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Section: Resultsmentioning

confidence: 99%

Ball's Motion Estimation Using a Line-Scan Camera

Zhao¹,

Wen²

2011

Measurement Science Review

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“…As additional output of this algorithm, it is possible to estimate the angle of the helix of the considered flute, that is also the major cuttingedge inclination 𝜆 𝑠 . To do this, first solve the optimization problem in (2) considering the points selected in STEP 2.7 for the cutting edge and update the values of ℎ 1 as in (8). The helix angle is estimated as…”

Section: Helix Anglementioning

confidence: 99%

“…Tool presetting requires in general the knowledge to the diameter and length of the tool only, which can be easily and accurately measured by 2D measuring systems. 2D tool measurement has been vastly applied for the characterization of tools, including studies on the measuring systems [8], the measurement of the tool profile parameters [9,10], and, most relevant in recent years, the study of automatic methods for tool wear evaluation and monitoring [11,12,21,[13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

3D Identification of Face and Flank in Micro-mills for Automatic Measurement of Rake Angle

Petrò

Moroni

2020

Nanomanuf Metrol

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In an Industry 4.0 context, to each object a "digital twin" is associated, which is a virtual counterpart of the object itself. In the case of a tool this includes, together with its material and manufacturing information, its solid geometry. Tool geometry knowledge is fundamental to enable effective tool management, manufacturing verification, and tooling simulation. If for tool management, the conventional 2D presetting is sufficient, tooling simulation and tool manufacturing verification require a complete 3D characterization. This is particularly true in the case of the microtools: the process of micro-chip formation is still a research subject.Although the 3D geometry of tool is well established in the ISO 3002 series of standard, only recently 3D measurement of tools has been made possible by new measuring systems. Still, tool geometry verification requires a lot of human intervention.This paper aims at setting the base for the automatic analysis point mesh scanned on the whole surface of tools, and in particular microtools.The first step for doing this is the identification of the active surfaces of the tool, that is the face and the flank plus the cutting edge. The identification of these geometric features is in general possible thanks to their specific characteristics: in particular, the cutting edge is characterized by a high curvature, and it separates the face from the flank. This paper considers cylindrical micro end-mills as a first example of an approach that can be extended to in principle any kind of tool. The cylindrical helix characterizing the cutting edge is the key geometry to be considered in the development of the specific method. Once the tool features (face, flank, and cutting edge) have been separated, of the tool angles, for instance, can be estimated. As first angle to study, the rake angle has been selected. The approach will be validated on simulated data and on real scans of micro-tools.

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“…The general measuring process involves are two dierent methods: non-contact optical metrology (with high-precision CCD cameras) [6] and contact metrology (with touching probe) [7]. Each of the methods has a target application, for example: optical cameras that use the transmitted light method are used to measure tool dimensions parameters [8,9], reected light cameras are used to measure angular parameters of surfaces [10,11], and for measuring prole mainly used a contact probes [12]. Automated cutting tool measurement process is based on machine vision technology [13].…”

Section: Introductionmentioning

confidence: 99%

A new method for processing algorithm to recognition of the profile of micro-mills

Pivkin

Minin

Ershov

et al. 2022

Emerging Imaging and Sensing Technologies for Security and Defence VII

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Modern methods of control geometry parameters of cutting tools often incorporate measuring operations performed using high-precision CCD cameras which work on the contrast-detection method. The key advantages of this method are the high speed of measurements, the simplicity of using general method on modern CNC measuring systems and a wide range of possibilities for controlling prole locations of surfaces. However, using this method largely depends on the resolution of the camera's ability and the size of the controlled area, which in turn imposes signicant restrictions on the measurement of surface areas which are less than 10% of the frame area. This paper proposes a new way to measure the area of prole section of microtool surfaces, based on the identifying of a focused area throughout the entire frame area. This method makes it possible to recognize the nature of the focus distribution at dierent camera positions, which in turn makes it possible to measure the area of prole section of microtool surfaces when the size of the controlled area is less than 10% of the frame size to use the contrast autofocus method to incomparably increase.

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Development and Implementation of a Simplified Tool Measuring System

Cited by 7 publications

References 6 publications

Ball's Motion Estimation Using a Line-Scan Camera

Ball's Motion Estimation Using a Line-Scan Camera

3D Identification of Face and Flank in Micro-mills for Automatic Measurement of Rake Angle

A new method for processing algorithm to recognition of the profile of micro-mills

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