Quantitatively Characterizing Automotive Interior Surfaces Using an Optical TIR-Based Texture Sensor

摘要：

This paper presents the development of an optical total internal refiection (TIR) based surface texture sensor. Through combination of both contact and non-contact optical surface profiling mechanisms, the new sensor can be efficiently used for quantitative characterization of surface texture properties including texture pattern, roughness, and even mechanical property like softness, etc. We have used this sensor to measure and analyze texture properties of extensive automotive interior leather sample surfaces. The results demonstrate that the sensor can effectively assist the interior designer to quantify and classify essential texture features of automobile interior surfaces. Ongoing work is integrating the sensor into a scientific surface texture evaluation system for the purpose of improving automobile interior design.

关键词： Surface texture characterization Surface profiling Total internal refiection Automobile interior design Mechanical properties

作者: Josette Zaklit Yongxiong Wang Yantao Shen Ning Xi

作者单位: Dept.of Electrical and Biomedical Engineering University of Nevada-Reno Reno,Nevada 89557,USA Dept.of Electrical and Computer Engineering.Michigan State University East Lansing,Michigan 48824,US

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 1721-1726

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）