煤礦膏體充填設(shè)備的優(yōu)化設(shè)計與參數(shù)化建模研究
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本文選題:膏體充填 切入點:優(yōu)化設(shè)計 出處:《河北工程大學(xué)》2017年碩士論文
【摘要】:在所有的不可再生資源中,煤炭在我國的使用是最為廣泛的,且不可代替。國家的經(jīng)濟正在飛速增長中,經(jīng)濟的增長必將增加煤炭的使用。我們國家的儲煤量非常豐富,目前還沒有哪個新型能源能完全替代煤,所以未來煤在很長的時間內(nèi)仍是我國最主要的能源。但是,由于煤炭的大量開采,煤炭資源逐步減少。為了滿足采煤的需要,既要將煤開采出來,又要保證地表不會塌陷,膏體充填就是滿足采煤的需要而產(chǎn)生的一種邊采邊充填的技術(shù)。在采煤過程中,應(yīng)用膏體充填技術(shù)是至關(guān)重要的,膏體是一種混合膏狀流體,其主要構(gòu)成物質(zhì)有膠結(jié)料、煤矸石、粉煤灰以及水。通過充填泵將膏體打入地下,實現(xiàn)充填。隨著國內(nèi)外煤礦資源的大量開采,膏體充填技術(shù)也一步步趨于成熟,但仍存在些許不足之處,諸如生成的膏體不合格、充填過程中發(fā)生堵管現(xiàn)象等。本文基于神經(jīng)網(wǎng)絡(luò)理論,對膏體充填配料稱重裝置進(jìn)行優(yōu)化,構(gòu)建入料速度與配比精度的數(shù)學(xué)模型,并應(yīng)用Matlab軟件得出最優(yōu)解,使各原料配比更為快速、精確;與此同時,以現(xiàn)有的膏體充填攪拌站為基礎(chǔ),參考混凝土攪拌車的結(jié)構(gòu)原理和工作方式,將攪拌過程中的關(guān)鍵技術(shù)進(jìn)行改進(jìn)研究,并通過有限元對其仿真,最后得出仿真后的攪拌站模型受外加風(fēng)載荷、雪載荷的穩(wěn)定性;然后,建立優(yōu)化之后充填站中各主要部件的參數(shù)化模型,并以此為基礎(chǔ)構(gòu)建整套系統(tǒng)參數(shù)化設(shè)計的模型庫,對運用到的膏體充填設(shè)備進(jìn)行參數(shù)化設(shè)計;最后,對優(yōu)化之后的膏體充填設(shè)備進(jìn)行三維模型的構(gòu)建,完善膏體充填技術(shù)。
[Abstract]:Of all the non-renewable resources, coal is the most widely used in our country, and cannot be replaced. The national economy is growing rapidly, and the economic growth will certainly increase the use of coal. Our country's coal reserves are very rich. At present, there is no new type of energy that can completely replace coal, so in the future coal will still be the most important energy in China for a long time. However, due to the large amount of coal mining, coal resources are gradually reduced. In order to meet the needs of coal mining, Plaster filling is a kind of technology to meet the needs of coal mining and filling. In the process of coal mining, the application of paste filling technology is very important. Paste is a kind of mixed paste fluid, whose main composition is cemented material, coal gangue, fly ash and water. The paste filling technology is becoming mature step by step, but there are still some shortcomings, such as the unqualified paste produced, the phenomenon of pipe plugging occurring in the filling process, etc. Based on the neural network theory, this paper optimizes the weighing device of paste filling ingredients. The mathematical model of feeding speed and ratio accuracy is constructed, and the optimal solution is obtained by using Matlab software, which makes the proportion of raw materials more rapid and accurate. At the same time, based on the existing paste filling mixing station, Referring to the structure principle and working mode of the concrete mixer, the key technology in the mixing process is improved and studied, and the finite element method is used to simulate it. Finally, the stability of the simulated mixing station model under the applied wind load and snow load is obtained. Then, the parameterized model of the main components in the filling station after optimization is established, and the model base of the whole system parameterized design is constructed based on this model, and the paste filling equipment used in the parameterized design is designed parameterized. The three-dimensional model of the optimized paste filling equipment was constructed and the paste filling technology was improved.
【學(xué)位授予單位】:河北工程大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TD402;TD823.7
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