基于曲线拟合的圆锯片变形检测算法  

Detecting Algorithm of Circular Saw Blade Deformation Based on Curve Fitting

作　　者：吴恩启[1] 兴磊磊 吴绍民[1] 任龙[1] 徐紫红 

机构地区：[1]上海理工大学机械工程学院,上海200093

出　　处：《光电工程》2015年第8期8-13,共6页Opto-Electronic Engineering

基　　金：国家自然科学基金资助项目(51205255)

摘　　要：对大型金刚石圆锯片的内应力检测是通过测量其变形来实现的,而检测过程中圆锯片的振动会引起测量结果的波动。为了提高检测精度,本文提出了一种基于曲线拟合的圆锯片变形检测算法。首先利用固定滑窗移动的方式对定量的数据进行重构,形成新的数据结构,然后对新的数据结构进行正交多项式曲线拟合以降低噪声。根据此算法建立了圆锯片变形检测装置,并对直径为1 700 mm的锯片进行了测量。实验结果表明,该算法降低了检测系统及圆锯片本身振动带来的变形误差,检测精度可达0.02 mm。Stress inspection of large diameter circular saw can be accomplished by the deformation measurement, and the result will fluctuate because of the vibration of the saw in the detection process. In order to improve the accuracy of measurement, a detecting algorithm was presented based on curve fitting. The fixed size sliding window method was used to reconstruct the quantitative data, and a new data structure was formed. The detection noise can be decreased by curve fitting of the data structure. The deformation inspection system was developed and a 1 700 mm diameter sample was measured. Results indicate that the proposed algorithm reduces the deformation errors brought by detection system itself and vibration of circular saw blade. The measurement precision is up to 0.02 mm

关 键 词：正交多项式 曲线拟合 圆锯片 变形检测 

分 类 号：TP391.8[自动化与计算机技术—计算机应用技术]