摘要
航空航天复杂薄壁件在数控铣削的过程中,由于实际加工结果与理论尺寸的不一致,导致了加工误差的存在,从而降低了零件的精度,进而直接影响其使用性能。针对航空发动机薄壁叶片在加工时产生的以弹性变形为主的综合误差,研究了航空发动机薄壁叶片加工误差补偿迭代学习建模方法。基于弹性变形理论、泰勒展开建立误差补偿模型,根据前次加工后的数据通过学习迭代算法,计算出下一次切削误差补偿量并重构叶片模型,生成新的数控加工程序,最终使加工误差满足公差要求。通过迭代学习算法对补偿模型的计算,可以有效减少补偿次数,提高补偿加工效率。
The aerospace complex thin-walled part in the CNC milling process,due to the inconsistency of the actual machining results and theoretical dimensions,has caused the existence of machining errors,which will reduce the accuracy of the parts,and then directly affect its performance.Aiming at the synthetic error which is mainly caused by the elastic deformation during the CNC milling processing of aero-engine thin-walled blade,an iterative learning modeling method of error compensation for aero-engine thin-wall blade machining is studied.Based on the elastic deformation theory and Taylor expansion,the error compensation model is established.According to the data after processing,the compensation amount of the next cutting error is calculated and the blade model is reconstructed,and the new NC machining program is generated.Finally,the machining error satisfies the tolerance requirement.By calculating the compensation model through learning algorithm,the number of compensation can be effectively reduced and the compensation processing efficiency can be improved.
作者
丛靖梅
莫蓉
张莹
王奇
Cong Jingmei;Mo Rong;Zhang Ying;Wang Qi(The Ministry of Education Key Laboratory of Contemporary Design and Integrated Manufacturing Technology,Northwestern Polytechnical University,Xi'an 710072,China)
出处
《机械科学与技术》
CSCD
北大核心
2019年第1期73-79,共7页
Mechanical Science and Technology for Aerospace Engineering
基金
国家科技重大专项项目(2015ZX04001202)资助
关键词
航空发动机
叶片
误差补偿
迭代学习
aeroengine
blade
error compensation
iterative learningalgorithm