New Method for Evaluating Arbitrary Spatial Straightness Error

Huang, Fugui

doi:10.3901/jme.2008.07.221

Cited by 13 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The essence of spatial straightness error evaluation methods is to resolve the parameters of the centerline of cylindrical surface containing all real measuring points [1][2][3][4][5][6][7][8][9][10]. It is obvious that the ideal centerline must be closed to the least square centerline, or closed to the connecting line between the starting measured point and end measured point of measured straight line.…”

Section: The Evaluation Principle Of the Gasamentioning

confidence: 99%

“…It can be seen that from Refs [1][2][3][4][5][6][7][8][9][10] and actual measurements, the ideal center line for evaluating spatial straightness error must be closed the least square center line and the line between the initial measured point and end measured point. Then the two endpoints of measured line or the least square center line can be chosen as the initial reference points for simplicity, the two initial reference points are expressed by and…”

Section: Determination Of Initial Reference Pointsmentioning

confidence: 99%

“…Zhang [4] provided an intelligent evaluation method for spatial straightness errors based on the analysis of existent evaluation methods, introduced the evolutional optimum model and the calculation process and proposed ant colony optimization (ACO) algorithm to evaluate the minimum zone error, the control experiment results evaluated by different optimal methods indicate that the proposed method does provide better accuracy on spatial straightness error evaluation. Huang and Cui [5] put forward a new method for evaluating arbitrary spatial Straightness error based on the disadvantages in evaluating spatial straightness error with traditional method, such as difficulty in solving the nonlinear simultaneous equation, the evaluating precision is lower and data processing can't be automated. The feasibility of method is validated by practical measurement.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Geometric Approximation Searching Algorithm for Spatial Straightness Error Evaluation

Li¹,

Lei²,

Xue³

et al. 2013

View full text Add to dashboard Cite

Considering the characteristics of spatial straightness error, this paper puts forward a kind of evaluation method of spatial straightness error using Geometric Approximation Searching Algorithm (GASA). According to the minimum condition principle of form error evaluation, the mathematic model and optimization objective of the GASA are given. The algorithm avoids the optimization and linearization, and can be fulfilled in three steps. First construct two parallel quadrates based on the preset two reference points of the spatial line respectively; second construct centerlines by connecting one quadrate each vertices to another quadrate each vertices; after that, calculate the distances between measured points and the constructed centerlines. The minimum zone straightness error is obtained by repeating comparing and reconstructing quadrates. The principle and steps of the algorithm to evaluate spatial straightness error is described in detail, and the mathematical formula and program flowchart are given also. Results show that this algorithm can evaluate spatial straightness error more effectively and exactly.

show abstract

Section: The Evaluation Principle Of the Gasamentioning

confidence: 99%

Section: Determination Of Initial Reference Pointsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Geometric Approximation Searching Algorithm for Spatial Straightness Error Evaluation

Li¹,

Lei²,

Xue³

et al. 2013

View full text Add to dashboard Cite

show abstract

“…The micro-drill's defects should be less than 0.5 m µ as for micro-drill's diameter among 0.1-0.5mm in engineering practice [1][2]. There are many means such as least squares method(LSM) for ellipse or line fitting in the data processing [3][4][5], here we put forward a novel data processing method where a Sanger network is used to fit micro-drill's main lips.…”

Section: Introductionmentioning

confidence: 99%

Application of Sanger Operator with Lateral Connection in Fitting Micro-Drill’s Main Lips

Yao

Wen

et al. 2010

AMM

View full text Add to dashboard Cite

A new approach for straightness fitting of micro-drill’s main lips is proposed. While its chips are measured, micro-drill’s projective images are collected with high precision automatic test system of PCB Micro-drill, and sub-pixel edge features are extracted. The sum of square distances' from the coordinates of sample points to fitted line is taken as objective function. Then a Sanger neural network with lateral connection is designed, where a self-adaptive minor component extracting method is adopted. When the system comes to equilibrium, the eigenvector of minimum eigen value is the fitted line coefficient, from which chips of micro-drill main lips are obtained. The proposed approach is the novel application of Sanger neural network in straightness fitting.

show abstract

A method for axis straightness error evaluation based on improved differential evolution algorithm

Luo

Liu

Zhang³

et al. 2020

Int J Adv Manuf Technol

View full text Add to dashboard Cite

New Method for Evaluating Arbitrary Spatial Straightness Error

Cited by 13 publications

References 0 publications

Geometric Approximation Searching Algorithm for Spatial Straightness Error Evaluation

Geometric Approximation Searching Algorithm for Spatial Straightness Error Evaluation

Application of Sanger Operator with Lateral Connection in Fitting Micro-Drill’s Main Lips

A method for axis straightness error evaluation based on improved differential evolution algorithm

Contact Info

Product

Resources

About