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首页> 外文期刊>International Journal of Computer Integrated Manufacturing >Vision-based surface roughness evaluation system for end milling
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Vision-based surface roughness evaluation system for end milling

机译：基于视觉的端面粗糙度评估系统，用于最终研磨

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摘要

This paper presents a vision-based surface roughness evaluation system for end-milled metals, addressing digital reconstruction and calibration of inspected surfaces, and quantitative and qualitative evaluation of surface texture. Specimens with different levels of surface roughness are machined, and a comparison between stylus-based and vision-based measurements is performed while using standard roughness parameters. The vison-based results vary among 9% and 11% compared to the stylus-based ones, which is a minor error to trade-off for faster measurements. Furthermore, surface texture evaluation is performed by detecting the generated cusp lines and tool marks on the machined surface. The tool marks' distribution is analysed in order to determine whether the machining is performed under optimal cutting conditions. Results show that under optimal cutting conditions, the detected tool marks are normally distributed along the feed direction and the distance between two consecutive tool marks does not vary significantly. Based on the proposed methods software is implemented that enables the three-dimensional reconstruction, calibration and evaluation of the inspected surface.
机译：本文介绍了一种基于视觉的表面粗糙度评估系统，用于终端研磨金属，寻址数字重建和检查表面的校准，以及对表面纹理的定量和定性评估。加工具有不同表面粗糙度水平的标本，并且在使用标准粗糙度参数的同时执行触针基和基于视觉的测量的比较。与基于触针的基础相比，基于响应的结果在9％和11％之间变化，这是更快的测量的折衷误差。此外，通过检测加工表面上的产生的尖端线和工具标记来执行表面纹理评估。分析刀具标记的分布，以确定加工是否在最佳切削条件下进行。结果表明，在最佳切削条件下，检测到的工具标记通常沿进给方向分布，两个连续工具标记之间的距离不会显着变化。基于所提出的方法，实施了软件，其能够实现三维重建，校准和检查表面的评估。

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