【摘要】：破碎機作為基礎(chǔ)工業(yè)的支柱,廣泛應用于冶金、礦山、電力、化工、建筑和筑路等行業(yè)領(lǐng)域。隨著我國經(jīng)濟建設的持續(xù)快速發(fā)展,對破碎機的需求不斷增加,人們對破碎機的性能也提出更高的要求,并針對此開展了大量的優(yōu)化設計研究。破碎機的性能涉及許多學科問題,因此,僅僅單獨對其某一性能(目標)進行優(yōu)化已經(jīng)不能夠滿足當前乃至未來市場競爭對產(chǎn)品應具有最優(yōu)的綜合性能的需求。本文以復擺顎式破碎機為研究對象,利用多學科設計優(yōu)化軟件ISIGHT,從運動學、動力學和靜力學三個方面,以多學科設計優(yōu)化理論為指導對其優(yōu)化設計開展研究。首先提出了將復擺顎式破碎機設計問題分解為運動學、動力學和靜力學的三個子系統(tǒng)(學科),通過各個學科的分析,分別建立破碎機的運動學優(yōu)化模型、動力學優(yōu)化模型和靜力學優(yōu)化模型,明確各子系統(tǒng)的輸入和輸出參數(shù)以及各子系統(tǒng)之間的耦合關(guān)系。在此基礎(chǔ)上,針對有限元仿真模型計算時間長、難以收斂的問題,利用ISIGHT軟件構(gòu)造基于試驗設計的神經(jīng)網(wǎng)絡近似模型,用近似模型替代仿真模型,減少優(yōu)化過程的計算量,提高優(yōu)化效率。最后采用協(xié)同優(yōu)化方法對破碎機進行優(yōu)化設計,使得動顎質(zhì)量減輕23.86%,生產(chǎn)能力提高24.44%,機架上最大振動力減小11.1%,排料口行程特征值由3.31降低到2.58,破碎機綜合性能得到了明顯改善。
[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.
【學位授予單位】：廣西大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TD451

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