本文選題：多晶體 + 疲勞壽命�。� 參考：《機(jī)械強(qiáng)度》2016年03期

【摘要】：多晶體的Schmidt因子是結(jié)構(gòu)疲勞壽命分析的重要變量。分別針對(duì)有織構(gòu)和無(wú)織構(gòu)多晶體,在細(xì)觀尺度上建立Schmidt因子與晶粒隨機(jī)歐拉角之間關(guān)系,證明取向分布一致的體心立方晶和面心立方晶在總體上具有相同的Schmidt因子,從而實(shí)現(xiàn)立方晶材料Schmidt因子的細(xì)觀概率建模。在算例中基于細(xì)觀概率模型進(jìn)行統(tǒng)計(jì)模擬,得到多晶體疲勞裂紋萌生區(qū)晶粒群最大Schmidt因子的概率分布,為機(jī)械結(jié)構(gòu),尤其是微機(jī)械、微機(jī)電結(jié)構(gòu)的疲勞可靠性分析提供理論基礎(chǔ)和有效工程方法。
[Abstract]:The Schmidt factor of polycrystals is an important variable in structural fatigue life analysis. For polycrystals with and without texture, the relationship between Schmidt factor and random Euler angle of grain is established on mesoscale scale. It is proved that bulk centered cubic crystal and face centered cubic crystal with the same orientation distribution have the same Schmidt factor as a whole. Thus, the meso-probability modeling of the Schmidt factor of cubic materials is realized. The probability distribution of the maximum Schmidt factor of the grain group in the fatigue crack initiation region of polycrystal is obtained by statistical simulation based on the mesoscopic probability model, which is mechanical structure, especially micromachined. Fatigue reliability analysis of MEMS structures provides theoretical basis and effective engineering methods.
【作者單位】： 江蘇理工學(xué)院常州市裝備再制造工程高技術(shù)重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金(51275221) 江蘇省產(chǎn)學(xué)研聯(lián)合創(chuàng)新資金項(xiàng)目(BY2014038-04)資助~~
【分類(lèi)號(hào)】：O76;TH114
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本文編號(hào)：1920022