主机润滑系统串油流体理论和检验

为了保证润滑系统可靠,保持主机的连续运行,需要主机润滑系统串油清洁度高,不因杂质导致主机运动部件之间干摩擦.介绍主机润滑系统杂质来源,从流体理论分析串油过程杂质难以清除的原因,以此为基础,研究解决该问题的措施,结合现场检验实践,总结确保串油效果的现场验收要点,对主机串油方案优化和检验具有指导意义.     

燃料电池轿车副车架结构分析及优化

对燃料电池轿车副车架结构进行结构分析,并使用轻量化材料替换的同时进行拓扑和尺寸优化,使得结构轻量化和可靠。     

Magic Formula轮胎模型参数辨识的一种混合优化方法

Magic Formula(MF)轮胎模型能够准确描述轮胎的侧偏特性,广泛应用于车辆动力学的研究。由于MF轮胎模型参数多,且高度非线性,从大量的试验数据中准确辨识这些参数相当困难。提出一种基于遗传算法和数值优化算法的混合优化方法,采用由粗到精的辨识过程,先利用遗传算法得出近似最优解,再利用数值优化算法辨识出精确的参数。利用辨识出的参数计算轮胎的侧偏特性,计算结果与试验数据吻合良好,表明该方法是辨识MF轮胎模型参数的有效手段。     

转矩加强盒成形过程数值模拟与参数优化

采用有限元分析软件Dynaform,对汽车结构件转矩加强盒的拉延成形过程进行了模拟分析。对影响拉延成形质量的工艺参数进行了优化,着重优化了拉延筋和压边力工艺参数,并将数值取在一定范围内。在易发生起皱的工艺型面上,增设了纵向吸皱筋,这与以往只在压料面上设置拉延筋相比有了创新。最终将优化后的模拟结果与实际生产出来的拉延件结果进行了数据对比,验证了数值模拟的正确性。     

遗传算法在双横臂悬架优化中的应用

针对ADAMS软件提供的优化算法的用户接口,成功地将遗传算法(Genetic Algorithm)添加到ADAMS中;并且以降低轮胎磨损为目标,利用所添加的遗传算法对双横臂悬架进行优化设计,获得良好的优化效果。     

动车组寿命周期效益分析与评价

针对我国动车组技术特征和运用、维修、管理特点,分析动车组寿命周期费用(LCC)主要影响因素;构建兼顾不同车型特点的模拟动车组及其技术经济参数,提出动车组寿命周期总费用、年均费用、日均费用、单位列车运行里程费用、单位客座运行里程费用等评价指标,并开展模拟计算、分析和评价;针对动车组购置、能耗、维修等主要费用单元,从研发、...     

Research on stability design of a bar-reinforced spherical bulkhead

In this paper, the stability of a concave spherical stem bulkhead under the pumping load when still lying at the slipway is analyzed. The stability of the spherical stem bulkhead with different shell thickness and reinforcing forms is discussed. According to the results of stability analysis, the optimization design of the spherical stem bulkhead stability is performed. On the basis of considering the machining technical requirements of the bulkhead, a rational design of the spherical stem bulkhead structure is obtained. This paper has a certain value to the design of submarine's spherical stem bulkhead.     

Application of the optimal Latin hypercube design and radial basis function network to collaborative optimization

Improving the efficiency of ship optimization is crucial for modern ship design. Compared with traditional methods, multidisciplinary design optimization (MDO) is a more promising approach. For this reason, Collaborative Optimization (CO) is discussed and analyzed in this paper. As one of the most frequently applied MDO methods, CO promotes autonomy of disciplines while providing a coordinating mechanism guaranteeing progress toward an optimum and maintaining interdisciplinary compatibility. However, there are some difficulties in applying the conventional CO method, such as difficulties in choosing an initial point and tremendous computational requirements. For the purpose of overcoming these problems, optimal Latin hypercube design and Radial basis function network were applied to CO. Optimal Latin hypercube design is a modified Latin Hypercube design. Radial basis function network approximates the optimization model, and is updated during the optimization process to improve accuracy. It is shown by examples that the computing efficiency and robustness of this CO method are higher than with the conventional CO method.     

高速单体船快速性和操纵性综合优化混沌算法

以高速单体船为研究对象,通过了综合论证及分析,建立了以快速性和操纵性为目标函数的综合优化数学模型。以MATLAB6.5为工作平台,应用变尺度混沌优化算法,编制了优化程序,并对高速单体船快速性和操纵性的仿真模型进行在线优化。优化结果表明:变尺度混沌算法对高速单体船快速性和操纵性综合优化是有效且可行的。     

客车水暖系统的优化设计

简要介绍客车水暖系统及其优化设计过程。