本文選題：齒輪系統(tǒng)動力學 + 非線性振動　； 參考：《東北大學》2011年碩士論文

【摘要】：高速加工能顯著地提高生產(chǎn)率和降低生產(chǎn)成本,是一項非常有前景的先進制造技術。隨著國家經(jīng)濟的快速發(fā)展,航空、航天、軍工、電力、化工等重要工業(yè)部門對車削加工中心及車銑復合加工中心的需求正在飛速增長。數(shù)控刀架是夾持一種或多種刀具進行數(shù)控加工的重要功能部件。數(shù)控刀架的動態(tài)性能直接影響數(shù)控機床的切削性能和切削效率,體現(xiàn)了數(shù)控機床設計和制造技術的核心水平。而數(shù)控刀架的動態(tài)性能則很大程度上取決于刀架動力傳動系統(tǒng)的動態(tài)特性。 本課題是以某機床集團研制生產(chǎn)的某新型雙動力伺服數(shù)控刀架的動力傳動系統(tǒng)為研究對象,以提高動力傳動系統(tǒng)的動態(tài)特性為研究目標,在綜述了國內(nèi)外有關齒輪動力學及靈敏度分析方面研究的發(fā)展和現(xiàn)狀基礎上,使用動力學分析軟件ADAMS建立了單對齒輪動力學分析模型和整個齒輪傳動系統(tǒng)動力學分析模型,對齒輪傳動系統(tǒng)的動態(tài)特性進行了研究,仿真了齒輪傳動的運動過程,并分析了非線性齒輪系統(tǒng)的響應,利用虛擬樣機技術對多自由度非線性齒輪傳動系統(tǒng)的振動特性進行求解；并將神經(jīng)網(wǎng)絡技術應用于可靠性靈敏度分析領域,充分利用神經(jīng)網(wǎng)絡的非線性映射功能、任意函數(shù)逼近功能等特性,較好的解決了可靠性研究中的一些難題。最后,由于本文中基本隨機變量為混合變量,即基本隨機變量的單位互不相同,可靠性靈敏度無可比性,因此在可靠性靈敏度理論的基礎上對基本隨機變量進行了無量綱化,得到可靠性對各個基本隨機變量的影響程度的排序,為產(chǎn)品在設計階段提供了理論參考,有著積極地現(xiàn)實意義和理論價值。
[Abstract]:High-speed machining can significantly increase productivity and reduce production costs, which is a promising advanced manufacturing technology. With the rapid development of national economy, the demand for turning machining center and turn-milling complex machining center in aviation, aerospace, military industry, electric power, chemical industry and so on is increasing rapidly. Numerical control tool holder is an important function part of clamping one or more cutting tools for NC machining. The dynamic performance of the NC tool holder directly affects the cutting performance and cutting efficiency of the NC machine tool, which embodies the core level of the NC machine tool design and manufacturing technology. The dynamic performance of the NC tool holder depends on the dynamic characteristics of the power transmission system to a great extent. The research object of this subject is the power transmission system of a new type of double power servo NC tool holder, which is developed and produced by a certain machine tool group, and the research goal is to improve the dynamic characteristics of the power transmission system. On the basis of summarizing the development and present situation of the research on gear dynamics and sensitivity analysis at home and abroad, the dynamics analysis model of single pair gear and the dynamic analysis model of the whole gear transmission system are established by using Adams. The dynamic characteristics of gear transmission system are studied, the motion process of gear transmission is simulated, and the response of nonlinear gear system is analyzed. The vibration characteristics of multi-degree-of-freedom nonlinear gear transmission system are solved by using virtual prototyping technology, and the neural network technology is applied to the field of reliability sensitivity analysis to make full use of the nonlinear mapping function of neural network. Some problems in reliability research are well solved by the function of arbitrary function approximation. Finally, because the basic random variable in this paper is a mixed variable, that is, the unit of the basic random variable is different, the reliability sensitivity is not comparable, so the basic random variable is dimensionless based on the reliability sensitivity theory. The ranking of the degree of influence of reliability on each basic random variable is obtained, which provides a theoretical reference for the design stage of the product, and has positive practical significance and theoretical value.
【學位授予單位】：東北大學
【學位級別】：碩士
【學位授予年份】：2011
【分類號】：TH132.41;TG659

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本文編號：2013502