机械设计与制造工程
機械設計與製造工程
궤계설계여제조공정
MACHINE DESIGN AND MANUFACTURING ENGINEERING
2015年
4期
17-22
,共6页
斗轮堆取料机%四轮平衡梁%结构优化%参数化建模%神经网络%粒子群算法
鬥輪堆取料機%四輪平衡樑%結構優化%參數化建模%神經網絡%粒子群算法
두륜퇴취료궤%사륜평형량%결구우화%삼수화건모%신경망락%입자군산법
four balance beam%bucket stacking-reclaiming machines%structure optimization%APDL%neural network%PSO
针对斗轮堆取料机四轮平衡梁结构静力特性的复杂性和非线性，利用参数化有限元分析和BP神经网络，建立四轮平衡梁从设计变量到最大应力、最大变形、质量的映射关系。对建立的神经网络模型，运用改进的粒子群优化算法，在满足刚度、强度条件下，寻求支板、隔板的结构尺寸及布置最优，从而实现四轮平衡梁轻量化的目的。四轮平衡梁的结构优化仿真结果表明，四轮平衡梁自重减少25．36％，优化效果明显。
針對鬥輪堆取料機四輪平衡樑結構靜力特性的複雜性和非線性，利用參數化有限元分析和BP神經網絡，建立四輪平衡樑從設計變量到最大應力、最大變形、質量的映射關繫。對建立的神經網絡模型，運用改進的粒子群優化算法，在滿足剛度、彊度條件下，尋求支闆、隔闆的結構呎吋及佈置最優，從而實現四輪平衡樑輕量化的目的。四輪平衡樑的結構優化倣真結果錶明，四輪平衡樑自重減少25．36％，優化效果明顯。
침대두륜퇴취료궤사륜평형량결구정력특성적복잡성화비선성，이용삼수화유한원분석화BP신경망락，건립사륜평형량종설계변량도최대응력、최대변형、질량적영사관계。대건립적신경망락모형，운용개진적입자군우화산법，재만족강도、강도조건하，심구지판、격판적결구척촌급포치최우，종이실현사륜평형량경양화적목적。사륜평형량적결구우화방진결과표명，사륜평형량자중감소25．36％，우화효과명현。
Focused on the complexity and highly nonlinearity of the structural static characteristics in the four-wheel balance beam of bucket stacking-reclaiming machines, it uses the parametric finite element analysis and back propagation( BP) neural network to establish mapping relationship between the design variables of four-wheel balance beam and the maximum stress, the maximum displacement and the weight.Based on the estab-lished neural network model, it realizes the particle swarm optimization ( PSO) and finds the layout optimization of the clapboards, obtains the support plates and their size in four-wheel balance beam under the stiffness con-ditions and strength conditions.The result reduces the weight of four-wheel balance beam.The structure opti-mization of four-wheel balance beam show that the weight of four-wheel balance beam is reduced 25.36%, and the effect of optimization is obviously.
