CAJ | 학술논문

为了润滑和节能减排，要求精加工的气缸套内表面具有某些“深谷”纹理以储存油剂，但这种分层功能表面也给表面质量的评定带来了困难。传统滤波法和基准拟合法所提取的基准面常常因“深谷”被“拉低”，最终偏离了理想表面，造成基准面的失真，使得后续的参数评定不够精确。现提出一种新的回归稳健拟合算法，即以二次函数和三角函数为基函数，结合马夸特算法(Levenberg-Marquardt, LM)的最大偏差最小化(Least absolute value, L∞)回归方法，实现在降低对分层功能表面中异常点影响的同时，快速完美重构基准面。仿真结果表明，该方法与最小二乘法(Least squares, Ls)相比，稳健性大大提高；与高斯回归滤波相比稳健性一致，但速度提高了近105倍，且ISO 25178-2中规范的表面三维幅度参数和功能参数与真实值的偏差都不超过2%；最后对实际气缸套内壁表面进行应用试验，结果表明比Ls更稳健，比高斯回归滤波更省时，能够满足提取基准面高精度与高效率的要求。
위료윤활화절능감배，요구정가공적기항투내표면구유모사“심곡”문리이저존유제，단저충분층공능표면야급표면질량적평정대래료곤난。전통려파법화기준의합법소제취적기준면상상인“심곡”피“랍저”，최종편리료이상표면，조성기준면적실진，사득후속적삼수평정불구정학。현제출일충신적회귀은건의합산법，즉이이차함수화삼각함수위기함수，결합마과특산법(Levenberg-Marquardt, LM)적최대편차최소화(Least absolute value, L∞)회귀방법，실현재강저대분층공능표면중이상점영향적동시，쾌속완미중구기준면。방진결과표명，해방법여최소이승법(Least squares, Ls)상비，은건성대대제고；여고사회귀려파상비은건성일치，단속도제고료근105배，차ISO 25178-2중규범적표면삼유폭도삼수화공능삼수여진실치적편차도불초과2%；최후대실제기항투내벽표면진행응용시험，결과표명비Ls경은건，비고사회귀려파경성시，능구만족제취기준면고정도여고효솔적요구。
For lubrication, energy saving and emission reduction, some"valley"textures are required for the finishing cylinder liner inner surface to store oil, but some difficulties are brought by this hierarchical functional surface during the surface quality assessment .The reference which is extracted by traditional filtering method and the baseline fitting method often be lowered by the"valley " and eventually deviate from the ideal surface , resulting in the distortion of the reference plane , making the subsequent parameters can not be assessed precisely. Nowadays, to solve this problem, robust Gaussian regression filtering is highly recognized, but eventually being too time-consuming and can not be promoted. Therefore, a new robust regression fitting algorithm is proposed, which is based on quadratic function and trigonometric function, combined with the Levenberg- Marquardt algorithm’s minimizes the maximum deviation (least absolute value, L∞) regression method, making lower the impact of outlier on the hierarchical functional surface ,then, reconstruct the datum quickly and perfectly to be achieved. The simulation results show that compared with least squares (Ls), robustness is greatly improved by the proposed method;compared with Gaussian regression filter, it has the same robustness, but the speed increases nearly 105 times, and the deviation between the surface in three-dimensional amplitude parameters and function parameters with the true value do not exceed 2%in the ISO 25178-2 standard. Finally, the experiments are conducted on the actual cylinder liner inner wall surface, and the results show that the new method is more robust comparing with Ls, more time-saving comparing with Gaussian regression filter, and it has high precision and high efficiency during extracting datum.