Flexible inspection system based on a vision guided coordinate measuring machine

Cho, Myeong-Woo; Kim, M. K.; Kim, K.

doi:10.1080/00207549508930219

Cited by 7 publications

(8 citation statements)

References 13 publications

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“…A great deal o f research has been done in OMM [2][3][4][5][6]. However, the efficiency o f the system has not been fully studied.…”

Section: Table Of Contentsmentioning

confidence: 99%

“…From the viewpoint of geometry, the determination of the coefficients involves solving the set equations of /fiW = / U , ) (3)(4)(5)(6)(7)(8)(9)(10)(11) whereis the linear combination of the base functions and/fjc,) is the digitized point set.…”

Section: Surface Reconstructionmentioning

confidence: 99%

“…Pi-M(t)= T^PjPj,k(.0, ti<t<ti^i;i = k -l,k ,K ,n . (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19) From this equation, the calculation can be simplified greatly when the number of the control points is huge.…”

Section: = (3-18)mentioning

confidence: 99%

“…Surfaces are constructed by calculating the tensor product o f the curve base functions as shown in eqn. (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16). Therefore, the control points of the curves control the surface.…”

Section: Surfaces Interpolationmentioning

confidence: 99%

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A New Shape Adaptive Motion Control System

Zhou¹

2021

Preprint

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In recent years there is a growing trend on integrating Computer Aid Design (CAD), Computer Aid Manufacturing (CAM) and Computer Aided Inspection (CAI). This thesis presents a new shape adaptive motion control system that integrates part measurement with motion control. The proposed system consists of five blocks: surface measurement; surface reconstruction; tool trajectory planning; axis motion control and part alignment In this thesis, the key technology used in surface measurement and surface reconstruction is spatial spectral analysis. In the surface measurement block, a new special spectrum comparison method is proposed to find out an optimal digitizing frequency. In the surface reconstruction block, different interpolation methods are compared in the spatial spectral domain. A spatial spectral B-Spline method is presented. In the tool trajectory planning block, a method is developed to select the motion profile first and then determine the tool locations according to the reconstructed surface in order to improve the accuracy of the planned path. In the part alignment, a three-point alignment method is presented to align the part coordinates with the machine coordinates. Based on the proposed methods, a software package is developed and implemented on the polishing robot constructed at Ryerson University. The effectiveness of the proposed system has been demonstrated by the experiment on edge polishing. In this experiment, the shape of the part edges is measured first, and then constructed as a wire-frame CAD model, based on which tool trajectory is planned to control the tool to polish the edges.

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“…A great deal o f research has been done in OMM [2][3][4][5][6]. However, the efficiency o f the system has not been fully studied.…”

Section: Table Of Contentsmentioning

confidence: 99%

Section: Surface Reconstructionmentioning

confidence: 99%

Section: = (3-18)mentioning

confidence: 99%

Section: Surfaces Interpolationmentioning

confidence: 99%

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A New Shape Adaptive Motion Control System

Zhou¹

2021

Preprint

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“…2, the Z-Iayers are defined as several cross-sections that are parallel to the xyplane (Cho et al, 1995). To generate the required database, first, a surface is represented as the Zmap that is an array of the z-coordinates of a surface (Takeuchi et aI., 1990).…”

Section: Database Construction Based On Zlayer Conceptmentioning

confidence: 99%

Sculptured surface recognition and localization strategy in the CMM process

Cho

Seo

1999

KSME International Journal

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This paper presents a sculptured surface recognition and localization strategy for the inspection process using the CMM. First, the database is generated from the CAD data based on the Z-Layer concept. Then, the three-dimensional shape of the object on the CMM table is constructed using a vision guided CMM. Two vision cameras are implemented to guide the CMM to the object, and B-spline interpolation method is applied to generate a surface that passes through the obtained data points. As a following step, the Z-Iayers of the generated surface are created and the geometric properties are calculated to determine the best matching surface in the database. Rough location and orientation of the object are determined by analyzing the image data, and the minimization algorithm is applied as a next step to obtain more accurate localization results. The experimental results show that the proposed method can be applied effectively for sculptured surface recognition and localization in the inspection processes.

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