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Calibration point distribution study of a four-wheel alignment optimization device based on a blanket technology

Cheng-Hui Shao1, Zhong-Yuan Zhang2, Shuang-Shuang Xu1

  • 1School of Mechanical and Aerospace Engineering, Jilin University, No. 5988 Renmin Street, Changchun 130025, People's Republic of China.

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Summary
This summary is machine-generated.

This study introduces a new method using fractal analysis to optimize wheel alignment measurements. This approach reduces the number of calibration points needed for accurate caster and kingpin inclination angle (KIA) assessments.

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Area of Science:

  • Automotive Engineering
  • Metrology
  • Data Analysis

Background:

  • Optimal wheel alignment is crucial for vehicle performance, safety, and fuel efficiency.
  • Current methods for determining kingpin parameters like caster and kingpin inclination angle (KIA) rely on extensive computation and lack explicit formulas.
  • Existing estimation techniques for caster and KIA involve repetitive large-scale computing with mathematical models.

Purpose of the Study:

  • To develop an explicit formula or methodology for determining kingpin parameters (caster and KIA) in four-wheel alignment.
  • To optimize the number of measurement points required for accurate wheel alignment calibration.
  • To provide a scientific basis for developing alignment calibration standards and improving the accuracy of wheel positioning assessments.

Main Methods:

  • Collected extensive data from a four-wheel aligner calibration device at short intervals.
  • Applied local fractal dimension analysis with fractional dimension-based blanket technology (BT) to the collected data.
  • Optimized the number of measurement points by analyzing dramatic data changes linked to local areas with large fractional dimensions.

Main Results:

  • Identified that dramatic data changes correlate with areas of high fractional dimension.
  • Demonstrated that increasing measurement points in areas with low fractional dimension can reduce the total number of required points.
  • Showcased that caster and KIA parameters can be accurately assessed using a significantly reduced number of measurements.

Conclusions:

  • The developed BT-based methodology offers a scientific basis for alignment calibration standards.
  • This approach can facilitate factory inspection and performance testing of four-wheel aligners.
  • The methodology has the potential to enhance the accuracy of wheel positioning parameter assessments while reducing measurement efforts.