Effect of the Number of Check Points of a Surface Profile on the Error of Measuring Deviations from Straightness

Glubokov, A. V.; Ped, S. E.; Glubokova, S. V.

doi:10.1007/s11018-017-1162-y

Cited by 4 publications

(4 citation statements)

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“…In accordance with regulatory documents, the adjacent plane should be used as a reference. Studies [13,14,17,18] show that the value of the error caused by the choice of the reference base can reach 50%, which is unacceptable in most cases. The construction of the adjacent plane is reduced to solving the minimax problem:…”

Section: Determination Of Flatness Valuementioning

confidence: 99%

“…4. We construct in the XOZ plane an adjacent straight line to all points of the surface [14,[19][20][21]. The vector that defines the direction of the adjacent straight line will match the direction of the gradient vector.…”

Section: Determination Of Flatness Valuementioning

confidence: 99%

“…Teleshevskii et al [13] considered the development of a measuring system based on electronic levels and showed the dependence of the methodological error on the number of measured points. To measure deviations from straightness, studies were carried out on the choice of the number of measured points and appropriate recommendations were developed [14]. These works need to be continued to determine the dependence of the methodological error on the number of points when measuring deviations from flatness and to develop appropriate recommendations for selection.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Automated measuring system for straightness and flatness deviations of extended surfaces

Glubokov¹,

Glubokova²,

Afonina³

et al. 2022

Optical Metrology and Inspection for Industrial Applications IX

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The article developed an approach to improve the accuracy of measuring deviations from straightness and flatness of extended surfaces. One of the most accurate and productive methods for measuring deviations from straightness and flatness of extended surfaces is the step method using electronic levels. The main difficulty of the measurement lies in the correct positioning of the electronic level on the measured surface. Algorithms for processing the results of measurements assume the coincidence of the measured points during successive measurements. Otherwise, a significant methodological error is introduced. A technique for recognizing the position of the level on the measured surface is proposed based on the analysis of images obtained from video cameras. The advantage of the algorithm is its resistance to determining the position of the level, regardless of its orientation on the measured surface. Software has been developed to correct the position of the level on the measured surface. An algorithm for determining the adjacent plane based on the gradient descent method is proposed. The dependences of the methodological measurement error on the number of measured points and the accuracy of their determination are revealed.

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Section: Determination Of Flatness Valuementioning

confidence: 99%

Section: Determination Of Flatness Valuementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automated measuring system for straightness and flatness deviations of extended surfaces

Glubokov¹,

Glubokova²,

Afonina³

et al. 2022

Optical Metrology and Inspection for Industrial Applications IX

View full text Add to dashboard Cite

show abstract

“…The majority of cases implements the complex indices of form deviation, and the conclusion on part acceptability is made by means of comparison of value of largest straightness deviation and the tolerance. The issues on plotting of superimposed line, evaluation of method error due to substitution of basis origin with mid line or smoothing line are well-established [7][8][9][10][11]. However, the experience has proven that the value of straightness deviation is often not enough for obtaining of information on behavior of measured parts interaction with other parts.…”

Section: Introductionmentioning

confidence: 99%

Spectral Parameters of Straightness Deviation Evaluation

Glubokov

Glubokova

Shulepov

et al. 2016

MSF

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Spectral analysis of different profiles obtained during straightness deviation measurement was performed. The several profiles are showed, for which the value of straightness deviation is the same, but its behavior differs greatly. Spectral parameters characterizing the type of straightness deviation are proposed. The automated system based on factors of fuzzy-set theory with implementation in the form of neural network is developed.

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Influence of the Shape Error of Measuring Base on the Accuracy of Manufacturing Parts from Stamped Blanks

Yamnikov

Danilenko²

2022

Meas Tech

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Effect of the Number of Check Points of a Surface Profile on the Error of Measuring Deviations from Straightness

Cited by 4 publications

References 0 publications

Automated measuring system for straightness and flatness deviations of extended surfaces

Automated measuring system for straightness and flatness deviations of extended surfaces

Spectral Parameters of Straightness Deviation Evaluation

Influence of the Shape Error of Measuring Base on the Accuracy of Manufacturing Parts from Stamped Blanks

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