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Calibration point distribution study of a four-wheel alignment optimization device based on a blanket technology algorithm.
- Source :
-
Review of Scientific Instruments . Apr2020, Vol. 91 Issue 4, p1-7. 7p. 1 Color Photograph, 2 Diagrams, 14 Charts, 1 Graph. - Publication Year :
- 2020
-
Abstract
- Optimal wheel alignment improves fuel efficiency, safety, and driver comfort. An explicit formula for determining kingpin parameters, namely, caster and kingpin inclination angle (KIA), in four-wheel alignment is lacking. Currently, caster and KIA values are estimated by repetitive large-scale computing with a mathematical model aimed at obtaining values infinitely close to real solutions. In this study, a four-wheel aligner calibration device was used to collect large amounts of data for a variety of four-wheel aligner measurements with a short data interval. The data were subjected to the local fractal dimension analysis with fractional dimension-based blanket technology (BT) to optimize the number of measurement points. Dramatic changes in data were attributable to local areas with a large fractional number dimension. Appropriate increase in the number of calibration measuring points in areas with a relatively low fractional number dimension can reduce the overall quantity of measuring points. The results provide a scientific basis for the development of alignment calibration standards and demonstrate that these parameters can be assessed based on a small number of measurements. Our BT-based methodology can facilitate factory inspection and performance testing of four-wheel aligners and may improve the accuracy of wheel positioning parameter assessments. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00346748
- Volume :
- 91
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Review of Scientific Instruments
- Publication Type :
- Academic Journal
- Accession number :
- 143006550
- Full Text :
- https://doi.org/10.1063/1.5144492