Profile Error Analysis of Following Ground Crankshaft Using Robust Gaussian Regression Filter

Author(s):  
Fang Xiaoyan ◽  
Sheng Xiaowei ◽  
Sun Yize ◽  
Xu Yang
2013 ◽  
Vol 712-715 ◽  
pp. 1714-1717 ◽  
Author(s):  
Jian Jun Yang ◽  
Jian Jun Wang

In the process of gear grinding, the grinding worm profile was modified with the wear of grinding worm, which has an important influence on machining accuracy. In this paper, the profile of grinding worm was calculated and simulated according to the tooth contact analysis. The profile error was analyzed according to the outer diameter of grinding worm. With the wear of grinding worm from outer diameter 400mm to 380mm, the grinding worm profile was recalculated after being redressed to ensure grinding accuracy.


1999 ◽  
Vol 65 (12) ◽  
pp. 1809-1813
Author(s):  
Yukihisa KOIZUMI ◽  
Yukio MAEDA ◽  
Ying-Fu WANG ◽  
Masami MASUDA ◽  
Shigeharu IWAYA

2010 ◽  
Vol 33 ◽  
pp. 445-449
Author(s):  
X.Q. Wang ◽  
F.K. Cui ◽  
X.J. He

According to differential geometry and meshing theory, the cold forming principle of ballscrew is investigated, the meshing model, the contact line and theoretical errors of the ballscrew are constructed, the objective moving laws between roller and workpiece are revealed by analyzing the meshing model and the contact line, the processing method of cold-rolling is considered as the generating method which can lay the foundation for roller design by analyzing forming principle. The error generation causes are discovered and the solutions are given by analyzing the profile error and the error of the actual helix of the centrode of ball.


2014 ◽  
Vol 48 (6) ◽  
pp. 1139-1154 ◽  
Author(s):  
Lidia Gurau ◽  
Hugh Mansfield-Williams ◽  
Mark Irle

2021 ◽  
Vol 11 (2) ◽  
pp. 761
Author(s):  
Baofeng He ◽  
Haibo Zheng ◽  
Ruizhao Yang ◽  
Zhaoyao Shi

Isotropy is an important feature of an area filter in the three-dimensional surface roughness evaluation. First, the transmission characteristic deviation between the approximating spline filter and the Gaussian filter is reduced by cascading approximating. Second, the approximating spline filter is superimposed on the orthogonal direction to obtain an isotropic areal filter. Then, four direct methods for the solving approximating spline matrix are applied. Based on the profile filtering and areal filtering, the computational efficiency and accuracy are compared. The experimental results show that the improved square root method (LDLT decomposition) combines both computational efficiency and filtering precision, and is a good choice for solving the approximating spline matrix. Finally, six kinds of robust approximating spline filters are constructed. Taking the output value of robust Gaussian regression filter (RGRF) as reference, and the honing profile and step surface with deep valley characteristics were used as test surfaces to compare their robustness and iteration time. The experimental results show that the approximating spline filter based on the ADRF function has the shortest iteration times, while its roughness is close to the robust Gaussian regression filter.


2014 ◽  
Vol 625 ◽  
pp. 101-107
Author(s):  
Wee Keong Neo ◽  
Mark Derek Nadhan ◽  
A. Senthil Kumar ◽  
Mustafizur Rahman

Fast/slow tool servo (FTS/STS) technology plays an important role in machining freeform surfaces for the modern optics industry. The accuracies of these surfaces not only depend on the performance of the FTS/STS but also on the methods of tool path generation (TPG). Current methods of pre-compensating tool nose radius and control dynamics still do not address the inherent profile errors arise from the methods of TPG. Furthermore, it is also not efficient to characterize a freeform surface in the post-machining stage, giving a high risk of failing to meet the accuracy requirements. In this paper, a profile error analysis (PEA) is introduced into the pre-machining stage to address this inherent profile error. PEA is carried out to compare two methods of TPG, namely the constant angle and constant arc methods and optimizes the number of cutting points in the TPG. Thus, the profile accuracy can be pre-determined to meet accuracy requirements by determining the appropriate TPG method with a least number of the cutting points. In the experiments, sinusoidal wave grid and micro-lens array surfaces are fabricated and their profiles successfully achieve the accuracy tolerance of 1 μm. These further credit the capability of PEA as an effective and accurate tool in improving profile accuracies and meeting accuracy requirements.


1999 ◽  
Vol 173 ◽  
pp. 185-188
Author(s):  
Gy. Szabó ◽  
K. Sárneczky ◽  
L.L. Kiss

AbstractA widely used tool in studying quasi-monoperiodic processes is the O–C diagram. This paper deals with the application of this diagram in minor planet studies. The main difference between our approach and the classical O–C diagram is that we transform the epoch (=time) dependence into the geocentric longitude domain. We outline a rotation modelling using this modified O–C and illustrate the abilities with detailed error analysis. The primary assumption, that the monotonity and the shape of this diagram is (almost) independent of the geometry of the asteroids is discussed and tested. The monotonity enables an unambiguous distinction between the prograde and retrograde rotation, thus the four-fold (or in some cases the two-fold) ambiguities can be avoided. This turned out to be the main advantage of the O–C examination. As an extension to the theoretical work, we present some preliminary results on 1727 Mette based on new CCD observations.


1995 ◽  
Vol 11 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Dietmar Heubrock

Performance on a German version of the Rey Auditory-Verbal Learning Test (AVLT) was investigated for 64 juvenile patients who were subdivided in 6 clinical groups. In addition to standard evaluation of AVLT protocols which is usually confined to items recalled correctly, an error analysis was performed. Differentiating between total errors (TE), repetition errors (RE), and misnamings (ME), substantial differences between clinical groups could be demonstrated. It is argued that error analysis of verbal memory and learning enriches the understanding of neuropsychological syndromes, and provides additional information for diagnostic and clinical use. Thus, it is possible to gain a more accurate picture so that patients can be appropriately retrained, and research into the functional causes of memory and learning disorders can be intensified.


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