本文選題：回轉(zhuǎn)筒　切入點(diǎn)：顆粒混合　出處：《湖南大學(xué)》2015年碩士論文

【摘要】：回轉(zhuǎn)窯、糖衣機(jī)等回轉(zhuǎn)筒類過(guò)程裝備廣泛應(yīng)用于冶金、化工、制藥、食品等重要領(lǐng)域,在我國(guó)國(guó)民經(jīng)濟(jì)建設(shè)中發(fā)揮著重要的作用�；剞D(zhuǎn)筒內(nèi)顆粒的混合過(guò)程關(guān)系到產(chǎn)品的最終質(zhì)量以及生產(chǎn)效率。近年來(lái)隨著高性能計(jì)算技術(shù)的不斷發(fā)展,離散單元法(DEM)成為研究回轉(zhuǎn)筒式過(guò)程設(shè)備中顆粒系統(tǒng)的一種強(qiáng)有力的新手段。但是,DEM計(jì)算結(jié)果對(duì)輸入?yún)?shù)的取值較為敏感。顆粒-顆粒摩擦系數(shù)、顆粒-轉(zhuǎn)筒摩擦參數(shù)等重要模型參數(shù),在實(shí)際中難以進(jìn)行測(cè)量。目前,DEM模型中的摩擦系數(shù)一般是根據(jù)經(jīng)驗(yàn)并通過(guò)手工不斷調(diào)整,直到仿真結(jié)果與實(shí)驗(yàn)結(jié)果一致。參數(shù)調(diào)整過(guò)程費(fèi)時(shí)費(fèi)力,且具有較強(qiáng)主觀性。本文針對(duì)上述問(wèn)題,以回轉(zhuǎn)筒顆粒系統(tǒng)為對(duì)象,提出了一種DEM摩擦系數(shù)模糊自整定方法,基于Lab VIEW平臺(tái)研發(fā)了相應(yīng)軟件,實(shí)現(xiàn)DEM仿真中摩擦系數(shù)的自動(dòng)選取,選題具有較高的理論和實(shí)用價(jià)值。論文完成的主要工作和取得的成果有:(1)搭建回轉(zhuǎn)筒顆粒系統(tǒng)平臺(tái)進(jìn)行多組顆粒物料混合實(shí)驗(yàn),并建立了回轉(zhuǎn)筒顆�；旌线^(guò)程的DEM模型。并基于PFC3D軟件對(duì)回轉(zhuǎn)筒內(nèi)顆�；旌线^(guò)程進(jìn)行DEM模擬,分析了摩擦系數(shù)對(duì)仿真結(jié)果的影響。(2)分析了回轉(zhuǎn)筒內(nèi)顆粒休止角的變化規(guī)律,定義了顆粒上偏角和下偏角兩個(gè)特征休止角,研究了特征休止角與摩擦系數(shù)的關(guān)系。(3)在以上基礎(chǔ)上,提出了基于模糊推理的DEM摩擦系數(shù)自整定方法。設(shè)計(jì)了DEM摩擦系數(shù)模糊推理機(jī),將顆粒系統(tǒng)實(shí)際與仿真的特征休止角偏差作為輸入,通過(guò)模糊推理計(jì)算出顆粒-顆粒摩擦系數(shù)與顆粒-筒壁摩擦系數(shù)。采用Lab VIEW和MATALAB混合編程方法開(kāi)發(fā)了一套DEM摩擦系數(shù)模糊自整定的軟件,可實(shí)現(xiàn)仿真與實(shí)驗(yàn)的交互、摩擦系數(shù)自動(dòng)整定過(guò)程可視化等功能。(4)利用本文所研發(fā)的DEM摩擦系數(shù)模糊自整定軟件進(jìn)行9組測(cè)試實(shí)驗(yàn),結(jié)果發(fā)現(xiàn)整定5-10次即可收斂,驗(yàn)證了本系統(tǒng)的正確性和快速性。利用自動(dòng)整定獲取得的摩擦系數(shù)進(jìn)行回轉(zhuǎn)筒顆粒系統(tǒng)DEM仿真,仿真結(jié)果與實(shí)驗(yàn)結(jié)果吻合良好,表明本文所提出的DEM摩擦系數(shù)模糊自整定方法的有效性和正確性。
[Abstract]:Rotary kilns, sugar-coated machines and other rotary drum process equipment are widely used in metallurgical, chemical, pharmaceutical, food and other important fields, It plays an important role in the national economic construction of our country. The mixing process of particles in the rotary drum is related to the final quality of the product and the production efficiency. In recent years, with the development of high performance computing technology, Discrete element method (DEM) has become a powerful new method to study particle system in rotary cylinder process equipment, but Dem results are more sensitive to the input parameters, the particle-particle friction coefficient, the particle-particle friction coefficient, the particle-particle friction coefficient, the particle-particle friction coefficient, the particle-particle friction coefficient, the particle-particle friction coefficient, It is difficult to measure some important model parameters such as particle-cylinder friction parameters in practice. At present, the friction coefficient of Dem model is generally adjusted according to experience and by manual adjustment. Until the simulation results are consistent with the experimental results, the parameter adjustment process is time-consuming and laborious, and has a strong subjectivity. In this paper, a fuzzy self-tuning method of DEM friction coefficient is proposed to solve the above problems. Based on Lab VIEW platform, the corresponding software is developed to realize the automatic selection of friction coefficient in DEM simulation. It has high theoretical and practical value. The main work and achievements of this paper are as follows: build a rotary particle system platform to carry out multi-group particle material mixing experiments. The DEM model of the particle mixing process in the rotary cylinder is established, and the DEM simulation of the particle mixing process in the rotary cylinder is carried out based on PFC3D software. The influence of friction coefficient on the simulation results is analyzed. (2) the variation law of the angle of repose of the particles in the rotary cylinder is analyzed. The two characteristic angles of repose are defined, and the relationship between the characteristic angle of repose and the friction coefficient is studied. A self-tuning method of DEM friction coefficient based on fuzzy reasoning is proposed. The fuzzy inference machine of DEM friction coefficient is designed. The deviation of characteristic angle of repose between the actual particle system and the simulation is taken as input. The friction coefficient of particle to particle and particle to cylinder wall are calculated by fuzzy inference. A set of fuzzy self-tuning software of DEM friction coefficient is developed by using Lab VIEW and MATALAB mixed programming method, which can realize the interaction between simulation and experiment. The DEM fuzzy self-tuning software developed in this paper is used to test nine groups of tests. The results show that the tuning can converge 5-10 times. The correctness and rapidity of the system are verified. The DEM simulation of rotary drum particle system is carried out by using the friction coefficient obtained by automatic tuning. The simulation results are in good agreement with the experimental results. The validity and correctness of the fuzzy self-tuning method of DEM friction coefficient presented in this paper are shown.
【學(xué)位授予單位】：湖南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TQ051.7

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