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CONCEPT FOR COMPUTER AIDED NON-CONTACT LASER ROUGHNESS EVALUATION OF ENGINEERING SURFACES

机译:计算机辅助非接触激光粗糙度评估工程表面的概念

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The importance of computer aided measurement techniques as a means of controlling industrial manufacturing and testing technical products with high accuracy increases ever more with the general goal of improving the quality of all kinds of products. This development started more than thirty years ago and is still improving. Especially computer aided roughness metrology is a very important and universal tool for solving measuring tasks in connection with workpiece accuracy, production quality, tribology aspects, quality assurance in industry, coating technology, electronic circuit production, assembly problems, statistical quality control and many other technical aspects. A method for non-contact profile assessment and roughness measurement of engineering surfaces is presented. The proposed system uses the well-known effect of focussing a light beam on the surface to be examined, at the same time compensating for the effect on the measuring results of varying material colors by appropriately processing the measuring signal. By combining a low-cost laser scanning unit with the traverse unit of a commercially available stylus instrument and a personnel computer for data processing, the prototype of an inexpensive system for non-contacting optical roughness measurement has been developed. Measurements performed on different specimens differing in surface properties, material and condition show a very high consistency of the evaluated roughness values and surface profiles gained especially in the case of precision machined surfaces.
机译:计算机辅助测量技术的重要性作为控制工业制造和测试技术产品的手段,具有高精度的一般目标是提高各种产品质量的一般目标。这一发展在三十年前开始,仍在改善。尤其是计算机辅助粗糙度计量是一种非常重要和普遍的工具,用于解决与工件精度有关的测量任务,生产质量,摩擦学方面,质量保证,涂装技术,电子电路生产,装配问题,统计质量控制等许多技术方面。提出了一种用于工程表面的非接触轮廓评估和粗糙度测量的方法。所提出的系统使用众所周知的效果,它通过适当地处理测量信号来补充待检查表面上的光束在待检查的表面上的光束对不同材料颜色的测量结果的影响。通过将低成本激光扫描单元与商业触控器仪器的横动单元和用于数据处理的人员计算机组合,已经开发出用于非接触光学粗糙度测量的廉价系统的原型。在不同的样本上进行的测量,在表面性质,材料和条件下不同的样本,显示出在精密加工表面的情况下,所获得的评估粗糙度值和表面轮廓的非常高的一致性。

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