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FBG-based online monitoring for uncertain loading-induced deformation of heavy-duty gantry machine tool base

机译:基于FBG的在线监测,不确定负载诱导的重型龙门机床底座变形

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摘要

An online monitoring approach for the uncertain loading-induced deformation of heavy-duty gantry machine tool base has been proposed by the combined use of Fiber Bragg Grating (FBG) sensors and a curvature-deformation algorithm. A placement strategy has been proposed to the deployment of these FBG sensors, ensuring to effectively sense the curvature. A cubic spline interpolation method has been applied to fully construct several continuous curvature functions. Deformation reconstruction principle based on these piecewise curvature functions has been elaborated and derived. FEM-based simulations for a prototyped base have been conducted to preliminary validate the effectiveness of the proposed approach. Experimental results further indicate that the maximum relative error of the reconstructed deformation values is decreased from 69.53% to 11% with an in-site calibration. The average of relative error with a value of less than 5.6% under different uncertain loadings, together with good consistency between the calculated deformation and detected values from the commercial sensors, have demonstrated the effectiveness and feasibility of the proposed approach. Several application experiments in a real gantry boring and milling machine tool base have been performed to further validate the feasibility of the proposed approach.
机译:通过联合使用光纤布拉格光栅(FBG)传感器和曲率变形算法,提出了一种在线监测方法的不确定装载诱导的重型龙门机床底座变形。已经提出了对这些FBG传感器的部署,确保有效地感知曲率的放置策略。已经应用了立方样条插值方法来完全构造几种连续曲率函数。基于这些分段曲率函数的变形重建原理已经详细阐述和衍生。已经进行了基于FEC基础的模拟,以初步验证所提出的方法的有效性。实验结果进一步表明,随着现场校准,重建变形值的最大相对误差从69.53%降低到11%。不同不确定负载下的值小于5.6%的相对误差的平均值,以及从商业传感器的计算变形和检测值之间的良好一致性,已经证明了所提出的方法的有效性和可行性。已经进行了几种在真正的龙门镗孔和铣床基础上的应用实验,以进一步验证所提出的方法的可行性。

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