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基于CFD-DEM的飼料調(diào)質(zhì)器物料運(yùn)動(dòng)模擬與試驗(yàn)
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北京市科技創(chuàng)新服務(wù)能力建設(shè)-基本科研業(yè)務(wù)費(fèi)-青年教師科研能力提升計(jì)劃項(xiàng)目(PXM2018_014213_000033)、北京市優(yōu)秀人才培養(yǎng)項(xiàng)目(2017000020124G062)和現(xiàn)代農(nóng)業(yè)產(chǎn)業(yè)技術(shù)體系建設(shè)項(xiàng)目(CARS-43-01A)


Numerical Simulation and Experiment on Raw Material in Feed Conditioner Based on Coupled CFD-DEM
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    摘要:

    為探究飼料調(diào)質(zhì)器中物料的運(yùn)動(dòng)規(guī)律和黏結(jié)狀態(tài),基于CFD-DEM耦合的方法對(duì)調(diào)質(zhì)器的工作過程進(jìn)行仿真建模和作業(yè)參數(shù)優(yōu)化。耦合模型建立方法:采用Pro/E三維軟件建立調(diào)質(zhì)器結(jié)構(gòu)模型;利用Gambit軟件對(duì)其進(jìn)行網(wǎng)格劃分,利用Fluent中的RNG k-ε湍流模型作為流體模型;利用離散元軟件EDEM中的Hertz-Mindlin with bonding模型建立飼料原料濕黏模型,并對(duì)兩種模型進(jìn)行邊界參數(shù)和耦合參數(shù)等設(shè)定。以槳葉安裝角、調(diào)質(zhì)軸轉(zhuǎn)速、填充率為試驗(yàn)因素,以調(diào)質(zhì)器出料量為評(píng)價(jià)指標(biāo),按照三因素五水平正交旋轉(zhuǎn)組合試驗(yàn)設(shè)計(jì)方法進(jìn)行試驗(yàn)研究。利用Design-Expert 8.0.6軟件回歸分析法和響應(yīng)面分析法,建立了3個(gè)因素對(duì)調(diào)質(zhì)器作業(yè)評(píng)價(jià)指標(biāo)影響的數(shù)學(xué)模型,對(duì)調(diào)質(zhì)器模型作業(yè)參數(shù)優(yōu)化并進(jìn)行了試驗(yàn)驗(yàn)證。結(jié)果表明,各因素對(duì)調(diào)質(zhì)器出料量的影響顯著性由大到小依次為填充率、調(diào)質(zhì)軸轉(zhuǎn)速、槳葉安裝角;最佳作業(yè)參數(shù)組合方案為:槳葉安裝角38.49°、調(diào)質(zhì)軸轉(zhuǎn)速182.2r/min、填充率58.4%,此時(shí)調(diào)質(zhì)器出料量較高,生產(chǎn)率為13.1g/s。

    Abstract:

    Feed conditioner is a key component in the pellet mill, and conditioning is a very process during the pelleting and extrusion. To explore the movement rule and bonding state of materials in feed conditioner, the working process of small axial conditioner was simulated and optimized based on the CFD-DEM gas-solid coupling mathematical model. The method of establishing the coupling model was as follows: the structure model of the conditioner was built by the 3D software Pro/E, and the grid of the model was meshed by the software Gambit. The RNG k-ε turbulence model in the software Fluent was used as the fluid model. Afterwards, the discrete element model of wet stick feed materials was established by the software EDEM, and then the boundary parameters and coupling parameters of coupling models were set to be the basis of simulation. The blade installation angle, speed of conditioner and filling rate were selected as the influencing factors, and the output result was selected as evaluating indicator, thus the performance optimization experiments were carried out under the quadratic orthogonal rotation design. Based on the software regression analysis of Design-Expert 8.0.6 and response surface analysis method, the relationship between the three influencing factors and evaluating indicator was established. The results of the study showed that speed regulator and filling rate had an extremely significant effect on the evaluating indicator (P<0.01), and blade installation angle had a significant effect on the evaluating indicator (P<0.05). The output result of raw materials was selected as the chosen target;by using response surface method, the optimal aggregative index could be obtained under the condition that the blade installation angle was 38.49°, speed of conditioner was 182.2r/min, and filling rate was 58.4%. In this case, the output result of raw materials was 13.1g/s. Therefore, the conditioner had good practicability in the process of conditioning feed raw materials;the research provided references for performance improvement of feed conditioner and the parameters optimization of processing technology.

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彭飛,方芳,王紅英,黃志剛,付宗強(qiáng),高東明.基于CFD-DEM的飼料調(diào)質(zhì)器物料運(yùn)動(dòng)模擬與試驗(yàn)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2018,49(12):355-363. PENG Fei, FANG Fang, WANG Hongying, HUANG Zhigang, FU Zongqiang, GAO Dongming. Numerical Simulation and Experiment on Raw Material in Feed Conditioner Based on Coupled CFD-DEM[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(12):355-363.

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  • 收稿日期:2018-07-16
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  • 在線發(fā)布日期: 2018-12-10
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