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基于ABAQUS的铝合金涡旋盘铣削参数优化研究

Research on Optimization of Milling Parameters of Aluminum Alloy Scroll PlateBased on ABAQUS
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摘要 涡旋盘是涡旋压缩机的核心部件,具有曲率变化大、齿高厚比大、材料去除率高等特点,在铣削加工中易产生变形,难以保证加工精度。以2A70铝合金涡旋盘为研究对象,提出基于铣削力和残余应力的铣削参数优化方法,利用ABAQUS有限元软件建立2A70铝合金涡旋盘三维铣削物理仿真模型,基于模型实现对涡旋盘铣削过程中切屑形态、铣削力和残余应力的预测,通过正交试验研究了铣削转速、每齿进给量、轴向切深和径向切深对铣削的综合影响,以及单一铣削参数对铣削力和残余应力的影响,并采用综合平衡法优化了铣削参数。结果表明:轴向切深对铣削的影响程度最大,转速的影响最小;铣削参数对铣削力的影响显著,提高铣削转速可降低工件的残余应力。 Scroll plate is the core component of scroll compressor,which has the characteristics of large curvature change,large tooth height to thickness ratio and high material removal rate.2A70 aluminum alloy scroll plate is selected as the research object,and a milling parameter optimization method based on milling force and residual stress is proposed.The 3D milling physical simulation model of 2A70 aluminum alloy scroll plate is established by using the finite element software ABAQUS.Based on the simulation model,the prediction of chip shape,milling force and residual stress during milling of scroll plate is realized.The comprehensive effects of milling speed,feed rate per tooth,axial depth of cut and radial depth of cut on milling are studied by orthogonal test.The effects of single milling parameters on milling force and residual stress are analyzed.The milling parameters are optimized by comprehensive balancing method.The results show that the greatest influence on milling is the axial cutting depth and the smallest is the milling speed.Milling parameters have significant influence on milling force,and increasing milling speed can reduce the residual stress of the workpiece.
作者 张光彦 曹人毅 刘丞让 黄鹿 张臣 Zhang Guangyan;Cao Renyi;Liu Chengrang;Huang Lu;Zhang Chen(AVIC Jincheng Nanjing Engineering Institute of Aircraft System,Nanjing 211106,China;College of Mechanical&Electronic Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处 《工具技术》 北大核心 2024年第12期70-76,共7页 Tool Engineering
关键词 涡旋盘 铣削 2A70铝合金 有限元仿真 铣削参数优化 scroll plate milling 2A70 aluminum alloy finite element simulation milling parameter optimization
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