机床与液压
機床與液壓
궤상여액압
MACHINE TOOL & HYDRAULICS
2015年
1期
136-140
,共5页
向琴%张华%胡晓莉%陈薇薇
嚮琴%張華%鬍曉莉%陳薇薇
향금%장화%호효리%진미미
液压挖掘机%动臂%轻量化%有限元分析%人工神经网络
液壓挖掘機%動臂%輕量化%有限元分析%人工神經網絡
액압알굴궤%동비%경양화%유한원분석%인공신경망락
Hydraulic excavator%Moving arm%Lightweight design%Finite element analysis%Artificial neural network
以挖掘机的动臂结构为研究对象,构建考虑静态强度、刚度、轻量化等性能的优化设计数学模型,以ANSYS软件为工具,对挖掘机动臂进行了轻量化设计计算,针对轻量化设计过程中设计变量非线性的特点,建立了人工神经网络的模型,对ANSYS软件优化设计的结果进行了验证,有效地降低了动臂的质量。结果表明,用两种方法结合起来进行轻量化设计的方法合理可行,对其他的机械进行轻量化设计具有一定的指导意义。
以挖掘機的動臂結構為研究對象,構建攷慮靜態彊度、剛度、輕量化等性能的優化設計數學模型,以ANSYS軟件為工具,對挖掘機動臂進行瞭輕量化設計計算,針對輕量化設計過程中設計變量非線性的特點,建立瞭人工神經網絡的模型,對ANSYS軟件優化設計的結果進行瞭驗證,有效地降低瞭動臂的質量。結果錶明,用兩種方法結閤起來進行輕量化設計的方法閤理可行,對其他的機械進行輕量化設計具有一定的指導意義。
이알굴궤적동비결구위연구대상,구건고필정태강도、강도、경양화등성능적우화설계수학모형,이ANSYS연건위공구,대알굴궤동비진행료경양화설계계산,침대경양화설계과정중설계변량비선성적특점,건립료인공신경망락적모형,대ANSYS연건우화설계적결과진행료험증,유효지강저료동비적질량。결과표명,용량충방법결합기래진행경양화설계적방법합리가행,대기타적궤계진행경양화설계구유일정적지도의의。
By taking a structure of the moving arm of hydraulic excavator as the research object, the mathematical model of opti?mal design taking performance into consideration of static strength, stiffness and lightweight was built. Based on the software ANSYS software as tools, the design and calculation for lightweight on the moving arm of hydraulic excavator were completed. The model of the neural network was built by aiming at the nonlinearity characteristics of the lightweight design variable in process, so as to verify the op?timization results by ANSYS software, and the weight of the moving arm is significantly reduced. Results indicate that, this method combined with ANSYS and neural network is reasonable and feasible for lightweight design, and it has a certain guiding significance for lightweight design on other machineries.