Length Measurement of a Rough Surface by Correlating Consecutive Range Images

2006 ◽  
Author(s):  
J. Junttila ◽  
A. Makynen
Keyword(s):  
Rough Surface ◽  
Length Measurement ◽  
Range Images

Object Detection in Cluttered Range Images Using Edgel Geometry

2010 ◽  
Vol 130 (9) ◽  
pp. 1572-1580
Author(s):  
Dipankar Das ◽  
Yoshinori Kobayashi ◽  
Yoshinori Kuno
Keyword(s):  
Object Detection ◽  
Range Images

Effective Impedance of a Statistically Rough Surface: Numerical Analysis

1997 ◽  
Vol 51 (2-3) ◽  
pp. 119-132
Author(s):  
V. F. Naumenko ◽  
Leonid Aleksandrovich Pazynin ◽  
A. S. Bryukhovetsky
Keyword(s):  
Numerical Analysis ◽  
Rough Surface ◽  
Effective Impedance

Resonance Scattering by a Small Particle above a Perfectly Reflecting Periodic Rough Surface

2005 ◽  
Vol 64 (10) ◽  
pp. 819-831
Author(s):  
F.G. Bass ◽  
D. V. Mikhaylova ◽  
V. Prosentsov ◽  
L. Resnick
Keyword(s):  
Rough Surface ◽  
Small Particle ◽  
Resonance Scattering

Rubber–Road Contact: Comparison of Physics-Based Theory and Indoor Experiments

2016 ◽  
Vol 44 (3) ◽  
pp. 150-173 ◽  
Author(s):  
Mehran Motamedi ◽  
Saied Taheri ◽  
Corina Sandu
Keyword(s):  
Rough Surface ◽  
Practical Importance ◽  
Surface Profile ◽  
Surface Characteristics ◽  
Mechanical Analysis ◽  
Friction Model ◽  
Rubber Friction ◽  
Optical Profilometer ◽  
Viscoelastic Modulus ◽  
Longitudinal Slip

ABSTRACT For tire designers, rubber friction is a topic of pronounced practical importance. Thus, development of a rubber–road contact model is of great interest. In this research, to predict the effectiveness of the tread compound in a tire as it interacts with the pavement, the physics-based multiscale rubber-friction theories developed by B. Persson and M. Klüppel were studied. The strengths of each method were identified and incorporated into a consolidated model that is more comprehensive and proficient than any single, existing, physics-based approach. In the present work, the friction coefficient was estimated for a summer tire tread compound sliding on sandpaper. The inputs to the model were the fractal properties of the rough surface and the dynamic viscoelastic modulus of rubber. The sandpaper-surface profile was measured accurately using an optical profilometer. Two-dimensional parameterization was performed using one-dimensional profile measurements. The tire tread compound was characterized via dynamic mechanical analysis. To validate the friction model, a laboratory-based, rubber-friction test that could measure the friction between a rubber sample and any arbitrary rough surface was designed and built. The apparatus consisted of a turntable, which can have the surface characteristics of choice, and a rubber wheel in contact with the turntable. The wheel speed, as well as the turntable speed, could be controlled precisely to generate the arbitrary values of longitudinal slip at which the dynamic coefficient of friction was measured. The correlation between the simulation and the experimental results was investigated.

An Examination of the Effects of Noise Level on Methods to Determine Curvature in Range Images

2019 ◽  
Vol 2019 (10) ◽  
pp. 325-1-325-7
Author(s):  
Jacob D Hauenstein ◽  
Timothy S Newman
Keyword(s):  
Noise Level ◽  
Range Images

A Two-scale Model for Composite Rough Surface Scattering

PIERS Online ◽  
2007 ◽  
Vol 3 (5) ◽  
pp. 718-722 ◽  
Author(s):  
Wenzhe Yan ◽  
L. X. Xu ◽  
Yang Du ◽  
F. Sheng ◽  
Z. N. Li ◽  
...  
Keyword(s):  
Rough Surface ◽  
Surface Scattering ◽  
Scale Model ◽  
Rough Surface Scattering
Sign in / Sign up

Export Citation Format

Share Document