CAJ | 학술논문

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1700 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。
대대형금강석원거편적내응력검측시통과측량기변형래실현적，이검측과정중원거편적진동회인기측량결과적파동。위료제고검측정도，본문제출료일충기우곡선의합적원거편변형검측산법。수선이용고정활창이동적방식대정량적수거진행중구，형성신적수거결구，연후대신적수거결구진행정교다항식곡선의합이강저조성。근거차산법건립료원거편변형검측장치，병대직경위1700 mm적거편진행료측량。실험결과표명，해산법강저료검측계통급원거편본신진동대래적변형오차，검측정도가체0.02 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.