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Related Concept Videos

Dry Friction01:30

Dry Friction

386
Dry friction occurs between two solid surfaces in contact as they attempt to move relative to one another. In daily life, dry friction is encountered in various forms, such as when walking on the ground, sliding an object across a table, or rubbing hands together. Despite its ubiquity, the underlying mechanisms behind dry friction are not readily visible.
To illustrate this concept, imagine a wooden crate resting on a rough, non-uniform horizontal surface. When an external force is applied to...
386

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TiO2-coated Hollow Glass Microspheres with Superhydrophobic and High IR-reflective Properties Synthesized by a Soft-chemistry Method
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UV-durable self-cleaning coatings for autonomous driving.

Songwei Lu1, Yuejun Zhao2, Edward A P Hellerman2

  • 1Coatings Innovation Center, PPG Industries, Inc., 4325 Rosanna Drive, Allison Park, PA, 15101, USA. slu@ppg.com.

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Clean sensor surfaces are vital for autonomous driving. UV-durable hydrophobic coatings improve camera image quality and self-cleaning performance, crucial for accurate sensor readings in adverse weather.

Keywords:
Autonomous sensorHydrophobicitySelf-cleaning coatingUV durabilityWater contact angleX-ray photoelectron spectroscopy

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Area of Science:

  • Materials Science
  • Optical Engineering
  • Automotive Technology

Background:

  • Sensor cleanliness is critical for autonomous vehicle safety and navigation.
  • Hydrophobic coatings offer self-cleaning properties but require UV durability for real-world application.
  • Degradation mechanisms and impact on imaging performance need thorough investigation.

Purpose of the Study:

  • To develop and evaluate UV-durable hydrophobic coatings for sensor surfaces.
  • To investigate the degradation mechanism of static water contact angle (sWCA) under weathering.
  • To assess the impact of these coatings on camera image quality and self-cleaning performance.

Main Methods:

  • Application of UV-durable hydrophobic coatings via spray process and thermal curing.
  • Evaluation of coatings on a vision camera under simulated weathering (rain, mud, fog, bugs).
  • Analysis of static water contact angle (sWCA) degradation and fluorine (F) atomic percentage loss.
  • Measurement of self-cleaning performance using signal-to-noise ratio and modulation transfer function 50 loss (MTF50loss).

Main Results:

  • sWCA degradation correlated with fluorine loss during accelerated weathering.
  • Significant improvement in vision camera imaging quality with hydrophobic coatings compared to uncoated surfaces.
  • Self-cleaning performance showed a linear correlation with sWCA.

Conclusions:

  • UV-durable hydrophobic coatings enhance sensor performance for autonomous driving.
  • Coating durability and self-cleaning effectiveness are linked to surface properties and material integrity.
  • These coatings are beneficial for maintaining accurate sensor readings in inclement weather conditions.