網站導航
直驅伺服+動態補償算法：純電折彎機精度突破±0.01
純電折彎機精度躍升的**在于直驅伺服系統與多軸動態補償算法的深度融合。以隴博智能科技有限公司的純電折彎機機型為例，其搭載的永磁同步伺服電機（額定扭矩120N·m，響應時間<10ms）直接驅動滾珠絲杠，消除液壓系統滯后誤差；同時，基于激光位移傳感器的實時閉環控制，通過卡爾曼濾波算法融合X/Y/Z三軸形變數據，實現折彎角度動態補償（補償精度±0.001mm）。測試數據顯示，在連續200次折彎工況下，REB-800Pro的角度一致性達±0.005mm（傳統液壓機型為±0.05mm）。行業應用層面，該技術已覆蓋航空航天領域鈦合金薄板折彎（厚度0.5-2mm），助力某航空部件廠將零件***合格率從82%提升至97%。未來技術趨勢指向AI預測性補償——通過歷史數據訓練神經網絡模型，提前預判材料回彈量并調整折彎參數。The core of the significant improvement in the accuracy of pure electric bending machines lies in the deep integration of the direct drive servo system and the multi-axis dynamic compensation algorithm. Taking the pure electric bending machine model of Longbo Intelligent Technology Co., Ltd. as an example, the permanent magnet synchronous servo motor (rated torque 120N·m, response time < 10ms) directly drives the ball screw, eliminating the lag error of the hydraulic system; at the same time, based on the real-time closed-loop control of the laser displacement sensor, through the Kalman filtering algorithm to fuse the deformation data of the X/Y/Z three axes, dynamic compensation of the bending angle is achieved (compensation accuracy ±0.001mm). Test data shows that under continuous 200 bending conditions, the angle consistency of REB-800Pro reaches ±0.005mm (traditional hydraulic models are ±0.05mm). In terms of industry application, this technology has covered the bending of titanium alloy thin plates in the aerospace field (thickness 0.5-2mm), helping a certain aviation component factory increase the first-time qualification rate of parts from 82% to 97%. The future technological trend points to AI predictive compensation - through training neural network models with historical data, predicting the material rebound amount in advance and adjusting the bending parameters.
公司信息
訪問官網
我要咨詢
每日熱詞
