發(fā)布時(shí)間：2018-06-16 09:49

  本文選題：數(shù)控車床 + 可靠性評(píng)價(jià)�。� 參考：《河南科技大學(xué)》2015年碩士論文

【摘要】：數(shù)控機(jī)床是制造業(yè)的基礎(chǔ),其可靠性水平直接影響我國(guó)制造業(yè)的發(fā)展,可靠性作為衡量數(shù)控機(jī)床尤其是高檔數(shù)控機(jī)床質(zhì)量水平的重要指標(biāo),對(duì)其進(jìn)行評(píng)價(jià)、分配和預(yù)測(cè)已經(jīng)逐漸成為國(guó)家和企業(yè)關(guān)注的焦點(diǎn)。本文依托國(guó)家“高檔數(shù)控機(jī)床與基礎(chǔ)制造裝備”科技重大專項(xiàng)—ADGM系列高速精密數(shù)控車床及車削中心(2012ZX04005-021),以國(guó)產(chǎn)某系列高速精密數(shù)控車床為研究對(duì)象,對(duì)其進(jìn)行可靠性評(píng)價(jià)、分配和預(yù)測(cè)技術(shù)研究。論文的主要研究?jī)?nèi)容有:1基于混合威布爾分布完成數(shù)控車床可靠性評(píng)價(jià)。通過對(duì)收集到的51個(gè)故障數(shù)據(jù)進(jìn)行處理和分析,確定其符合威布爾分布,再分別采用單、混合威布爾分布對(duì)故障數(shù)據(jù)進(jìn)行建模,并使用D檢驗(yàn)法檢驗(yàn)?zāi)Ｐ偷臄M合優(yōu)度,通過對(duì)比擬合結(jié)果,確定混合威布爾分布模型更符合實(shí)際情況,然后使用非線性最小二乘法估計(jì)混合威布爾模型的參數(shù),最后在確定分布模型的基礎(chǔ)上計(jì)算數(shù)控車床可靠性指標(biāo)的估計(jì)值。2基于改進(jìn)模糊層次分析法完成數(shù)控車床可靠性分配。鑒于數(shù)控車床復(fù)雜性和影響可靠性分配的因素多且不易被精確測(cè)量,把數(shù)控車床簡(jiǎn)化成12個(gè)子系統(tǒng),在層次結(jié)構(gòu)中考慮影響可靠性分配的6個(gè)影響因素,并綜合考慮以上系統(tǒng)組成和影響因素建立一個(gè)可靠性層次分配模型,使用改進(jìn)模糊層次分析法對(duì)數(shù)控車床進(jìn)行可靠性分配,最后通過對(duì)比驗(yàn)證表明改進(jìn)模糊層次分析法對(duì)數(shù)控車床的可靠性分配有較好的實(shí)用性。3基于灰色理論完成關(guān)鍵子系統(tǒng)可靠性預(yù)測(cè)。借助已有的故障信息,并結(jié)合故障數(shù)據(jù)的特點(diǎn),對(duì)收集到的電氣系統(tǒng)的故障間隔時(shí)間進(jìn)行處理并驗(yàn)證其光滑性和準(zhǔn)指數(shù)特性,在數(shù)據(jù)滿足一定條件的前提下基于灰色理論建立灰色GM(1,1)預(yù)測(cè)模型,并對(duì)建立的預(yù)測(cè)模型進(jìn)行殘差檢驗(yàn)、關(guān)聯(lián)度檢驗(yàn)和后驗(yàn)差檢驗(yàn),提出三種不同的方案并分別建立其預(yù)測(cè)模型,對(duì)三種預(yù)測(cè)模型進(jìn)行對(duì)比并最終確定最優(yōu)方案,完成電氣系統(tǒng)的可靠性預(yù)測(cè),并基于灰色理論開發(fā)可靠性預(yù)測(cè)軟件。本論文中的研究成果已經(jīng)在ADGM系列高速精密數(shù)控車床的可靠性設(shè)計(jì)中得到應(yīng)用。
[Abstract]:Numerical control machine tool is the foundation of manufacturing industry, and its reliability level directly affects the development of our manufacturing industry. Reliability is an important index to measure the quality level of numerical control machine tool, especially high-grade numerical control machine tool. Distribution and prediction have gradually become the focus of national and enterprise attention. Based on the national "high-grade CNC machine tools and basic manufacturing equipment", a series of high speed precision CNC lathes and turning centers, a series of high speed precision CNC lathes made in China are studied, and the reliability of these lathes is evaluated. Research on Distribution and Prediction techniques. The main research contents of this paper are as follows: 1. The reliability evaluation of CNC lathe based on mixed Weibull distribution. Through processing and analyzing the 51 fault data collected, it is determined that the fault data accords with Weibull distribution, and then the fault data is modeled by single and mixed Weibull distribution, and the goodness of fit of the model is verified by using D test method. By comparing the fitting results, it is determined that the mixed Weibull distribution model is more suitable for the actual situation, and then the nonlinear least square method is used to estimate the parameters of the mixed Weibull model. Finally, on the basis of determining the distribution model, the estimated value of reliability index of NC lathe is calculated. 2. The reliability distribution of NC lathe is completed based on the improved fuzzy analytic hierarchy process. In view of the complexity of CNC lathe and the factors that affect reliability distribution are many and difficult to be accurately measured, the CNC lathe is simplified into 12 subsystems, and six factors affecting reliability distribution are considered in the hierarchical structure. Considering the above system composition and influencing factors, a reliability hierarchical distribution model is established, and the improved fuzzy analytic hierarchy process is used to distribute the reliability of NC lathe. Finally, the comparison and verification show that the improved fuzzy analytic hierarchy process has good practicability for the reliability distribution of NC lathe. 3. Based on the grey theory, the reliability prediction of the key subsystem is completed. With the help of the existing fault information and the characteristics of the fault data, the fault interval time of the collected electrical system is processed and its smoothness and quasi-exponential characteristics are verified. On the premise that the data satisfy certain conditions, the grey GM1 / 1) prediction model is established based on the grey theory, and the residual error test, correlation degree test and posteriori error test are carried out for the established prediction model, and three different schemes are put forward and their prediction models are established respectively. The reliability prediction software of electrical system is developed based on grey theory by comparing the three prediction models and determining the optimal scheme. The research results in this paper have been applied in the reliability design of ADGM series high speed precision CNC lathe.
【學(xué)位授予單位】：河南科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TG519.1

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本文編號(hào)：2026248