本文選題：水基拉延油 + 混合體系��； 參考：《長春工業(yè)大學(xué)》2015年碩士論文

【摘要】：水基拉延油是一種水溶性拉延油,是碳鋼板沖壓用油,與市場上油基拉延油比,冷卻性、潤滑性和抗極壓性更好,節(jié)省沖壓件除油工序,可用自來水沖洗、具有阻燃性、安全環(huán)保,尤其適合復(fù)雜件的重度拉伸應(yīng)用。由于不同的生產(chǎn)方式使用不同的方法如：噴涂,擠壓涂抹,手工涂抹等,這就需要不同粘度的水基拉延油配合。所以粘度是水基拉延油一個(gè)重要的使用指標(biāo),要建立粘度模型來精確地控制粘度。水基拉延油粘度與材料種類、混合比例和溫度有關(guān)。水基拉延油是牛頓型流體和非牛頓型流體的混合體系,無法用現(xiàn)有的粘度模型進(jìn)行粘度預(yù)測,但是可以從經(jīng)典的粘度模型中找出預(yù)測效果最好的粘度模型,用不同配比在不同溫度下的實(shí)驗(yàn)測量值進(jìn)行回歸預(yù)測,修正模型,從而得到針對(duì)水基拉延油混合體系的粘度模型。在本文中,選取經(jīng)典的牛頓體系模型Arrhenius模型,Bingham模型,Kendall-Monroe模型和Cragoe模型；非牛頓體系Roscoe模型；雙參數(shù)模型ASTM模型。并利用擬合優(yōu)度進(jìn)行評(píng)價(jià),通過擬合系數(shù)比較,找出最接近的預(yù)測粘度模型。通過對(duì)十個(gè)不同混合比例樣品的九十個(gè)粘度測定值進(jìn)行預(yù)測比較,ASTM模型預(yù)測效果相對(duì)其他5個(gè)粘度模型最好,而且精確度可以進(jìn)一步提高。用實(shí)驗(yàn)測量值對(duì)ASTM模型進(jìn)行修正,得到M-ASTM粘度模型,擬合系數(shù)從0.860提高到0.991。M-ASTM粘度模型可以精確地預(yù)測水基拉延油粘度的變化,也可以根據(jù)粘度要求和溫度要求反向求出混合比例,進(jìn)一步指導(dǎo)生產(chǎn)。
[Abstract]:Water based drawing oil is a kind of water soluble drawing oil. It is a kind of carbon steel plate stamping oil. It has better cooling, lubricity and resistance to extreme pressure than oil based drawing oil on the market. It can save stamping parts in the deoiling process, can be flushed with tap water, and has flame-retardant property. Safe and environmentally friendly, especially suitable for heavy tensile application of complex parts. Because different production methods use different methods, such as spray, extrusion, hand smear, etc., this requires different viscosity of water based drawing oil. So viscosity is an important index of water-based drawing oil. Viscosity model should be established to control viscosity accurately. Viscosity of water-based drawing oil is related to material type, mixing ratio and temperature. Water-based drawing oil is a mixed system of Newtonian fluid and non-Newtonian fluid, which can not be predicted by the existing viscosity model, but the best viscosity model can be found out from the classical viscosity model. The viscosity model of water based drawing oil mixture system was obtained by regression prediction and modification of the model by using the experimental measurements at different temperatures. In this paper, the classical Newtonian system model, Arrhenius model, Kendall-Monroe model and Cragoe model, the non-Newtonian system Roscoe model and the two-parameter ASTM model are selected. According to the comparison of the fitting coefficients, the nearest predictive viscosity model is found. The prediction results of 90 viscosity measurements of ten samples with different mixing ratios were compared with that of the other five viscosity models, and the accuracy of ASTM model could be further improved. The ASTM model is modified by the experimental measurement value, and the M-ASTM viscosity model is obtained. The coefficient of fitting is increased from 0.860 to the 0.991.M-ASTM viscosity model, which can accurately predict the change of the viscosity of water-based drawn oil. Can also be based on viscosity requirements and temperature requirements to reverse the calculation of mixing ratio, further guide production.
【學(xué)位授予單位】：長春工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TE666

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本文編號(hào)：1908148