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针对罚函数法处理有约束问题时存在的不足,采用Lagrange乘子法优化换热网络.为求解Lagrange函数方程组,根据确定性方法,提出最速下降法求解策略以及Powell法求解策略.通过极小值判断机制,保证Lagrange函数方程组的解是原换热网络目标函数值的极小值.根据实际工况,提出结构进化策略,与Lagrange乘子法相结合,实现了换热网络全局最优化.通过经典算例验证了两种求解策略的有效性、准确性以及结构进化策略的通用性.与文献结果进行对比,结果表明本算法具有较强的局部搜索能力以及全局搜索能力,能够找到更优的换热网络结构,有利于在工业生产中节约成本. 相似文献
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Chemical batch processes have become significant in chemical manufacturing.In these processes,large numbers of chemical products are produced to satisfy human demands in daily life.Recently,economy globalization has resulted in growing worldwide competitions in traditional chemical process industry.In order to keep competitive in the global marketplace,each company must optimize its production management and set up a reactive system for market fluctuation.Scheduling is the core of production management in chemical processes.The goal of this paper is to review the recent developments in this challenging area.Classifications of batch scheduling problems and optimization methods are introduced.A comparison of six typical models is shown in a general benchmark example from the literature.Finally,challenges and applications in future research are discussed. 相似文献
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针对选择性激光烧结(SLS)工艺中聚苯乙烯(PS)粉末烧结件精度不高且强度不能满足实际需求的问题,将经过化学气相沉积法处理的碳纤维(CF)粉末、PS粉末、分散剂和抗静电剂进行机械混合,制备了PS/气相沉积CF复合粉末。以Z向尺寸相对误差、致密度和弯曲强度为实验指标,先采用极差分析法进行单个指标的优化,再利用综合平衡法对多指标正交试验进行整体参数优化分析。结果表明:复合粉末粒度主要分布在30.63~142.00μm;对于PS粉末烧结件,化学气相沉积CF粉末比普通的CF粉末具有更好的改善尺寸精度、填充和增强的效果;烧结件的最佳工艺参数组合为:预热温度为80℃,激光功率为27 W,扫描速度为1 800 mm/s和扫描间距为0.30 mm。此时烧结件的Z向尺寸相对误差为5.47%,致密度为0.626 g/cm3,弯曲强度为10.68 MPa。相比于纯PS粉末烧结件,分别提高了24.55%,30.42%,136.28%。 相似文献