Accuracy improvement method for double flank worm gear pair rolling tester

Measurement ◽  
2022 ◽  
pp. 110688
Author(s):  
Tang Jie ◽  
Jiang Meng ◽  
Shi Zhaoyao
Keyword(s):  
Worm Gear ◽  
Gear Pair ◽  
Accuracy Improvement ◽  
Improvement Method

scholarly journals Improving the Strapdown Airborne Vector Gravimetry by a Backward Inertial Navigation Algorithm

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4432
Author(s):  
Minghao Wang ◽  
Juliang Cao ◽  
Shaokun Cai ◽  
Meiping Wu ◽  
Kaidong Zhang ◽  
...  
Keyword(s):  
Field Data ◽  
Flight Test ◽  
Attitude Measurement ◽  
Integrated Navigation ◽  
Accuracy Improvement ◽  
Forward Algorithm ◽  
Navigation Algorithm ◽  
Improvement Method ◽  
Vector Gravimetry ◽  
No Sensor

Strapdown airborne gravimetry is an efficient way to obtain gravity field data. A new method has been developed to improve the accuracy of airborne vector gravimetry. The method introduces a backward strapdown navigation algorithm into the strapdown gravimetry, which is the reverse process of forward algorithm. Compared with the forward algorithm, the backward algorithm has the same performance in the condition of no sensor error, but has different error characteristics in actual conditions. The differences of the two algorithms in the strapdown gravimetry data processing are presented by simulations, which show that the two algorithms have different performance in the horizontal attitude measurement and convergence of integrated navigation filter. On the basis of detailed analysis, the procedures of accuracy improvement method are presented. The result of this method is very promising when applying to an actual flight test carried out by a SGA-WZ02 strapdown gravimeter. After applying the proposed method, the repeatability of two gravity disturbance horizontal components were 1.83 mGal and 1.80 mGal under the resolution of 6 km, which validate the effectiveness of the method. Furthermore, the wavenumber correlation filter is also discussed as an alternative data fusion method.

Computer Aided Loaded Tooth Contact Analysis in Cylindrical Worm Gears

2004 ◽  
Vol 127 (5) ◽  
pp. 973-981 ◽  
Author(s):  
Vilmos Simon
Keyword(s):  
Contact Analysis ◽  
Worm Gear ◽  
Gear Pair ◽  
Contact Lines ◽  
Tooth Contact Analysis ◽  
Tooth Contact ◽  
Computer Aided ◽  
Different Types ◽  
Worm Gears ◽  
Loaded Tooth Contact Analysis

A method for computer aided loaded tooth contact analysis in different types of cylindrical worm gears is proposed. The method covers both cases—that of the theoretical line and point contact. The geometry and kinematics of a worm gear pair based on the generation of worm gear teeth by a hob is presented. The full loaded tooth contact analysis of such a gear pair is performed. A computer program based on the theoretical background presented has been developed. By using this program the path of contact, the potential contact lines, the separations of mating surfaces along these contact lines, the load distribution and transmission errors for different types of modified and nonmodified worm gear pairs are calculated and graphically presented. The influence of gear tooth modifications on tooth contact is investigated and discussed.

scholarly journals Numerical Model for Worm Gear Pair Inspection Based on 3D Scanned Data

2021 ◽  
Vol 20 (4) ◽  
pp. 637-648
Author(s):  
R. Masovic ◽  
T. Breski ◽  
I. Cular ◽  
K. Vuckovic ◽  
D. Zezelj
Keyword(s):  
Numerical Model ◽  
Worm Gear ◽  
Gear Pair

A40 Proposal of accuracy improvement method for collet chuck considering collet orientation

2008 ◽  
Vol 2008.7 (0) ◽  
pp. 229-230
Author(s):  
Haruhisa SAKAMOTO ◽  
Teruhisa TANAKA ◽  
Shinji SHIMIZU ◽  
Norihiro TAKAHASHI
Keyword(s):  
Accuracy Improvement ◽  
Improvement Method

The Method for the Accuracy Improvement of STL Offset Model Based on Vertex Offset

2011 ◽  
Vol 308-310 ◽  
pp. 1600-1603
Author(s):  
Hu Zhu ◽  
Nan Li ◽  
Zhi Jun Liu
Keyword(s):  
Center Of Gravity ◽  
Accuracy Improvement ◽  
Model Based ◽  
Surface Subdivision ◽  
Improvement Method ◽  
Subdivision Algorithm ◽  
Normal Vectors

On the basis of the analysis for the reason that causes the errors of the vertex offset, the accuracy improvement method for the STL offset model which was generated by the vertex offset algorithm was proposed by using the surface subdivision algorithm based on the center of gravity on triangular facets. The offset point of the center of gravity was generated by offset the center of gravity along the normal vectors of the triangular facets on which the center of gravity is located, and the new triangular facets are formed by connecting the offset points of the center of gravity and the offset vertexes of the triangular facets so that the more accurate offset model to be built. The case study shows that the proposed algorithm has higher accuracy than the existing vertex offset algorithm.

A Novel Error Detection and Compensation Method of Hourglass Worm Gear Hob

2012 ◽  
Author(s):  
Q. Y. Shu ◽  
Q. Y. Qiu ◽  
P. E. Feng ◽  
L. Cao
Keyword(s):  
Mathematical Model ◽  
Error Detection ◽  
Worm Gear ◽  
Grinding Wheel ◽  
Gear Pair ◽  
Manufacturing Error ◽  
Optical Projection ◽  
Lubrication Condition ◽  
The Mathematical Model ◽  
Detecting Method

The double enveloping hourglass worm gear pair is a type of transmission, which has many traits, such as more teeth in mesh for transmission, higher contact quality, better lubrication condition and so on. Therefore, it has higher efficiency of transmission, stronger bearing capacity and longer work life. But the manufacturing difficulty of the worm gear hob has limited its popularization and application. Unlike the traditional worm gear hob which can use the principle of optical projection to detect the hob shaft section and compare with its mathematical model, currently, there is no standard mathematical model to detect the shaft section of hourglass worm gear hob. Hence, the accuracy of hourglass worm gear hob can’t be guaranteed during manufacturing process, and the accuracy of hourglass worm gear can’t be guaranteed too. Thus, the transmission performance of the manufactured double enveloping hourglass worm gear pair will be affected. The paper puts forward a novel detection method for hourglass worm gear hob on the basis of the detecting method for traditional worm gear hob and established the mathematical model of the shaft section of hourglass worm gear hob. The manufacturing error of hourglass worm gear hob can be obtained through such detection. The paper also points out that the error is mainly produced during the grinding of hob teeth, because the grinding wheel is worn out and the blank hob is thermally deformed. At last, a method for error compensation is advanced during the process of hob grinding. The paper presents a test to verify the feasibility of this method and the test result shows that the manufacturing error of hourglass worm gear hob is reduced from 30.15μm to 10.3μm.

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