織物預成型 的英文怎麼說

中文拼音 [zhīwùyùchéngxíng]
織物預成型 英文
fabric preform
  • 織 : 動詞（編織） knit; weave
  • 物 : 名詞1 （東西） thing; matter; object 2 （指自己以外的人或與己相對的環境） other people; the outsi...
  • 預 : Ⅰ副詞（預先; 事先） in advance; beforehand Ⅱ動詞（參與） take part in
  • 成 : Ⅰ動詞1 （完成; 成功） accomplish; succeed 2 （成為; 變為） become; turn into 3 （成全） help comp...
  • 織物 : textile; fabric; texture; etoffe; [法國] drap
  1. Study on the compressibility of fabric preforms

    織物預成型體的可壓縮性研究
  2. Study on capillary pressure of fabric preforms

    織物預成型體毛細作用研究
  3. Regarding the lcm filling process as the newton fluid through fibrous reinforcements, the permeability of preform determines the saturating of resin in fiber, and has effects on the curing process and the quality of products. based on the darcy ' s law, the theoretical model of permeability measurement was established. and the influence of different testing methods and major process parameters such as fabric structure, fiber volume fraction, injection pressure, flow rate and resin viscosity on preform permeability were investigated in details

    文中首先根據達西定律建立了滲透率測量的理論模型，深入研究了不同的測試方法及主要工藝參數（纖維織物織構、纖維體積含量、充模壓力、流動速度、樹脂粘度）對滲透特性的影響規律，發現多孔介質增強材料的滲透率主要取決于纖維織物的結構形式，預成型體孔隙分佈及其體積分數、壓實性對滲透率有較大的影響，提高充模壓力和流動速度可以縮短充模時間，在一定程度上可以提高滲透率。
  4. The uniformed design of experiment is used and the sas of software was adopted to analyze the result in order to discuss that other additives affect the tribological behaviors of tbp and tpp in the rapeseed oil. it has been found that both tbp and tpp as additives increase the load - carrying capacity and antiwear ability of the vegetable oil. and the tribological model can effectively forecasts the results of the objects so it is help to cut the costs. in addition to other additives have the capcity to affect the tribological behaviors of tbp and tpp

    利用四球機考察了磷酸三丁脂（ tbp ）和磷酸三苯脂（ tpp ）作為植物油添加劑的摩擦學性能；應用bp神經網路建立了tpp在菜籽油中的摩擦學模型；用均勻設計組織試驗， sas統計軟體分析處理數據，探討其它添加劑對tbp和tpp在菜籽油中摩擦學性能的影響。結果表明： tbp和tpp能明顯改善植物油的抗磨性並有效提高植物油承載能力；用神經網路建立的摩擦學模型能對目標樣本進行有效預測，能節省成本；其它添加劑能影響tbp和tpp在菜籽油中摩擦學性能。
  5. They are agricultural productive materials price growth rate, sown area of grain crops growth rate, grain yield per area growth rate -, natural disaster covered grain areas growth rate, net grain import change rate, grain reserve change rate, population growth rate, per income growth rate, city and town population growth rate, food industry production value growth rate, year - end pig number growth rate, medical & pharmaceutical and textile industry production value growth rate, grain marketization degree, inflation rate using the previous year as base year ( preceding year = 100 ), public grain purchases price growth rate, investment in agricultural science and technology growth rate, investment in agricultural infrastructure growth rate, growth rate of graduates number from agriculture, forestry, science & technology universities and colleges and specialized secondary schools, government expenditure for agriculture and agricultural credit growth rate, international grain price growth rate, rmb exchange rate growth rate, last grain price growth rate, economic crop price growth rate, meanwhile, a new method is attempted to be used in this paper and the grain price early - warning problem is transformed into machine learning problem by introducing statistic learning theory and svm method which are gaining popularity in machine learning field at present in the world

    在此基礎上，篩選出23個警兆指標：農用生產資料價格增長率、糧食播種面積增長率、糧食單產增長率、糧食受災面積增長率、糧食凈進口量變化率、糧食儲備變動率、人口增長率、人均收入增長率、城鎮人口增長率、食品工業產值增長率、豬年末頭數增長率、醫藥紡織工業產值增長率、糧食市場化程度、以上年為基年的通貨膨脹率、國家糧食定購價格增長率、農業科技投入增長率、農業基礎設施投入增長率、農、林、科技高校大、中專畢業生人數增長率、財政支農資金比重及農業信貸增長率、國際糧食市場價格增長率、人民幣匯率增長率、上期糧食價格增長率、經濟作物價格增長率。同時論文在預警方法上作了新的嘗試，把糧食價格預警問題轉換成一個機器學習問題，引進當前國際上機器學習領域中比較熱門的統計學習理論和支持向量機方法，用順序回歸演算法對歷史數據進行學習建立了糧食價格預警模型。
  6. In future work, based on analyzing the characteristics of plant matrices and infusion processes, setting up a model with a wider applicability is an attraction, and improving the methods of calculating parameters of model to increase its precision of prediction is the key point

    依據物料組織結構以及功能成分浸提過程的特點，探索和建立適用范圍更廣的動力學模型仍是該領域研究的核心問題；而對于應用研究，改進模型參數的確定方法，提高模型在提取工藝優化方面的實用性及預測精度應是研究的重點。
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