基于ISIGHT的复摆颚式破碎机多学科优化研究

发布时间：2018-08-27 13:42

【摘要】：破碎机作为基础工业的支柱,广泛应用于冶金、矿山、电力、化工、建筑和筑路等行业领域。随着我国经济建设的持续快速发展,对破碎机的需求不断增加,人们对破碎机的性能也提出更高的要求,并针对此开展了大量的优化设计研究。破碎机的性能涉及许多学科问题,因此,仅仅单独对其某一性能(目标)进行优化已经不能够满足当前乃至未来市场竞争对产品应具有最优的综合性能的需求。本文以复摆颚式破碎机为研究对象,利用多学科设计优化软件ISIGHT,从运动学、动力学和静力学三个方面,以多学科设计优化理论为指导对其优化设计开展研究。首先提出了将复摆颚式破碎机设计问题分解为运动学、动力学和静力学的三个子系统(学科),通过各个学科的分析,分别建立破碎机的运动学优化模型、动力学优化模型和静力学优化模型,明确各子系统的输入和输出参数以及各子系统之间的耦合关系。在此基础上,针对有限元仿真模型计算时间长、难以收敛的问题,利用ISIGHT软件构造基于试验设计的神经网络近似模型,用近似模型替代仿真模型,减少优化过程的计算量,提高优化效率。最后采用协同优化方法对破碎机进行优化设计,使得动颚质量减轻23.86%,生产能力提高24.44%,机架上最大振动力减小11.1%,排料口行程特征值由3.31降低到2.58,破碎机综合性能得到了明显改善。
[Abstract]:Crusher is widely used in metallurgy, mining, electric power, chemical industry, construction and road construction as the pillar of basic industry. With the continuous and rapid development of economic construction in our country, the demand for crusher has been increasing, and the performance of crusher has been put forward higher requirements, and a large number of optimization design research has been carried out in view of this. The performance of crusher involves many disciplinary problems. Therefore, it is no longer possible to optimize its performance (target) alone to meet the demand that the product should have the best comprehensive performance in the current and future market competition. This paper takes the compound pendulum jaw crusher as the research object, using the multidisciplinary design optimization software ISIGHT, from the kinematics, dynamics and statics, and under the guidance of the multidisciplinary design optimization theory to carry out the research on its optimization design. Firstly, the design problem of compound pendulum jaw crusher is decomposed into three subsystems (disciplines) of kinematics, dynamics and statics. Through the analysis of each subject, the kinematics optimization model of crusher is established separately. Dynamic optimization model and static optimization model are used to determine the input and output parameters of each subsystem and the coupling relationship between each subsystem. On this basis, aiming at the problem that the finite element simulation model has long calculation time and is difficult to converge, a neural network approximate model based on experimental design is constructed by using ISIGHT software, and the approximate model is used to replace the simulation model to reduce the computational cost of the optimization process. Improve the efficiency of optimization. Finally, the cooperative optimization method is used to optimize the design of the crusher, which reduces the quality of the moving jaw by 23.86, increases the production capacity by 24.44, reduces the maximum vibration force on the rack by 11.1and reduces the characteristic value of the discharge stroke from 3.31 to 2.58. The comprehensive performance of the crusher is obviously improved.
【学位授予单位】：广西大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD451

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