A shearlet-based separation method of 3D engineering surface using high definition metrology

Du, Shichang; Liu, Changping; Huang, Delin

doi:10.1016/j.precisioneng.2014.10.004

Cited by 36 publications

(10 citation statements)

References 20 publications

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“…This is because the number of measured points used for estimation by TIN and IDW is limited and the weights of these measured points are specially fixed. (2) In comparison with different spatial statistics methods, Kriging method can obtain much more accurate estimation with smaller ME and MSE. Moreover, multivariate CK method considering the machining conditions has a more Furthermore, Fig.…”

Section: Comparison Analysis With Other Spatial Interpolation Methodsmentioning

confidence: 99%

“…Surface form is predominantly considered as one of the most important features of practical product surfaces due to its crucial influence on the functional behavior of a machined part [1][2][3][4][5][6][7][8]. The form error estimation under various machining conditions is an essential step in the assessment of part surface quality generated in machining processes [9].…”

Section: Introductionmentioning

confidence: 99%

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Co-Kriging Method for Form Error Estimation Incorporating Condition Variable Measurements

Lan

2015

Journal of Manufacturing Science and Engineering

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The form error estimation under various machining conditions is an essential step in the assessment of product surface quality generated in machining processes. Coordinate measuring machines (CMMs) are widely used to measure complicated surface form error. However, considering measurement cost, only a few measurement points are collected offline by a CMM for a part surface. Therefore, spatial statistics is adopted to interpolate more points for more accurate form error estimation. It is of great significance to decrease the deviation between the interpolated height value and the real one. Compared to univariate spatial statistics, only concerning spatial correlation of height value, this paper presents a method based on multivariate spatial statistics, co-Kriging (CK), to estimate surface form error not only concerning spatial correlation but also concerning the influence of machining conditions. This method can reconstruct a more accurate part surface and make the estimation deviation smaller. It characterizes the spatial correlation of machining errors by variogram and cross-variogram, and it is implemented on one of the common features: flatness error. Simulated datasets as well as actual CMM data are applied to demonstrate the improvement achieved by the proposed multivariate spatial statistics method over the univariate method and other interpolation methods.

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Section: Comparison Analysis With Other Spatial Interpolation Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Co-Kriging Method for Form Error Estimation Incorporating Condition Variable Measurements

Lan

2015

Journal of Manufacturing Science and Engineering

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“…The field view of the HDM system is within 75 Â 56 mm 2 , and the depth of field view is 15 mm. Accuracy in X (translation direction) is 61 lm.…”

Section: Case Studymentioning

confidence: 99%

“…Several researches about online controlling flat surface variation based on HDM have been conducted. Du et al [2][3][4] proposed a shearletbased method and support vector machine-based methods to separate and extract different surface components using HDM. Du and Fei [5] also presented a co-Kriging method based on multivariate spatial statistics to estimate surface form error using HDM.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Approach for Online Minimizing Volume Difference of Multiple Chambers in Machining Processes Based on High-Definition Metrology

Huang

et al. 2017

Journal of Manufacturing Science and Engineering

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The volume variation of multiple chambers of a workpiece is one of the most important factors that can directly influence the performance of the final product. This paper presents a novel systematic approach for online minimizing the volume difference of multiple chambers of a workpiece based on high-definition metrology (HDM). First, the datum of high-density points is transformed by a random sample consensus (RANSAC) algorithm due to its good robustness in fitting. Second, a procedure containing reconstruction of interior curved surfaces of chambers, boundary extraction, and projection is developed to calculate the accurate volumes of the multiple chambers. Third, a model for obtaining an optimized machining parameter for depth of chambers is explored to minimize the volume difference of any two ones of all the chambers. The model is formulated as a multi-objective optimization (MOO) problem, and a new procedure of multi-objective particle swarm optimization (MOPSO) algorithm is developed to solve this problem. Finally, a milling depth is output as the optimal milling parameter for controlling the volume variation of multiple chambers. The results of a case study show that the proposed approach can minimize the volume difference of four combustion chambers of a cylinder head and it can be well applied online in volume variation control of multiple chambers in machining processes.

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“…They found that chip serration causes microwaves on machined surfaces, which increases machined surface roughness. In addition, Du and Fei conducted a series of studies on surface topography classification and measurement in conventional milling [14][15][16][17]. However, there has been no relevant research involving UPRFC.…”

Section: Introductionmentioning

confidence: 99%

Case study of surface micro-waves in ultra-precision raster fly cutting

Zhang

et al. 2016

Precision Engineering

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A shearlet-based separation method of 3D engineering surface using high definition metrology

Cited by 36 publications

References 20 publications

Co-Kriging Method for Form Error Estimation Incorporating Condition Variable Measurements

Co-Kriging Method for Form Error Estimation Incorporating Condition Variable Measurements

A Systematic Approach for Online Minimizing Volume Difference of Multiple Chambers in Machining Processes Based on High-Definition Metrology

Case study of surface micro-waves in ultra-precision raster fly cutting

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