厚壁结构件电弧增材制造成形方法及工艺

采用弧焊机器人进行电弧增材制造,对厚壁结构件的增材制造焊接工艺进行研究. 基于传统分层理论,进行算法优化实现对厚壁结构件成形尺寸预测并加以分析,并在此算法基础上引入单焊道成形尺寸神经网络预测模型,提高预制件模型分层精度及实际焊接参数的最优选择;针对带有内孔等特征的厚壁结构件在成形过程中焊缝边缘下塌现象,提出了“边界约束”焊接方式并对层间焊接轨迹进行规划,提高了预制件表面成形质量.最后焊制具有说明性的实体件验证预测算法及轨迹规划的准确性. 结果表明,结构件成形良好,尺寸误差小于1 mm.

Forming method and technology of arc additive manufacturing for thick wall structural parts

Arc welding robot is used for arc additive manufacturing, and the welding technology of additive manufacturing of thick-walled structural parts is studied. Based on the traditional stratification theory, the prediction and analysis of the molding dimension of the thick wall structure are carried out with the algorithm optimization. On the basis of this algorithm, the prediction model of the single weld shape size neural network is introduced to improve the precision of the preform model and the optimum selection of the actual welding parameters; In view of the collapse of the weld edge in the forming process of thick wall structures with inner holes and other features, the "boundary constraint" welding method was proposed and the interlayer welding trajectory was planned to improve the quality of the surface of the preform. Finally, the welding method has an illustrative physical component verification prediction algorithm and the accuracy of trajectory planning. The test results show that the structure is well formed and the size error is less than 1 mm.