CAJ | 학술논문

针对Fluent中气固两相流离散相模型(DPM)仿真，为提高通用模型对管道节流复杂流场问题仿真时的准确性，在结合气相流场分析与固相颗粒受力分析的基础上，提出 DPM 优化的4项措施，即从气相速度入口模型、颗粒曳力模型、颗粒壁面碰撞模型、颗粒所受各个力的合理取舍4个方面进行优化。通用模型的优化通过调用 Fluent相关宏并编制用户自定义函数(UDF)程序实现。实验已验证优化 DPM 的准确性明显优于通用 DPM，具体体现在：两相流型转换时气相速度区间的模拟，颗粒沉降气相临界速度的模拟方面，这2项指标优化后比优化前分别提高55%和50%；在实验管道局部阻力损失与节流孔板前颗粒速度分布的模拟仿真方面，优化DPM显然具有更准确的优势。通过实流实验与仿真模拟的对比，证明优化是有效的。从研究过程可以得出，模型优化的方法对于其他类似的复杂流场工况具有通用性和工程实用价值。
침대Fluent중기고량상류리산상모형(DPM)방진，위제고통용모형대관도절류복잡류장문제방진시적준학성，재결합기상류장분석여고상과립수력분석적기출상，제출 DPM 우화적4항조시，즉종기상속도입구모형、과립예력모형、과립벽면팽당모형、과립소수각개력적합리취사4개방면진행우화。통용모형적우화통과조용 Fluent상관굉병편제용호자정의함수(UDF)정서실현。실험이험증우화 DPM 적준학성명현우우통용 DPM，구체체현재：량상류형전환시기상속도구간적모의，과립침강기상림계속도적모의방면，저2항지표우화후비우화전분별제고55%화50%；재실험관도국부조력손실여절류공판전과립속도분포적모의방진방면，우화DPM현연구유경준학적우세。통과실류실험여방진모의적대비，증명우화시유효적。종연구과정가이득출，모형우화적방법대우기타유사적복잡류장공황구유통용성화공정실용개치。
General discrete phase model (DPM) simulation on gas-solid two-phase flow is now widely employed. In order to improve its accuracy on pipeline throttling with complex flow field, based on analysis combined gas flow field and forces acting on solid phase particles, four optimization measures about the general DPM model are proposed, which include gas inlet velocity model, particle drag model, collision of particles with internal surface of pipeline and reasonable choice of each force on particles. The optimization of general model is achieved by calling Fluent related macro and compiling user defined functions (UDF) program.Experiments verified that the accuracy of the opti-mized DPM model is significantly superior to the general model,as is shown in the following four aspects:the simu-lations of the two-phase flow gas velocity conversion interval and the gas critical velocity of particle sedimentation, which increased by 55%and 50%respectively in the optimized model;what is more, the optimized model obviously has more accuracy advantage on local resistance loss in experimental pipe and particle velocity distribution simulation. Through the contrast of experiment and simulation, the optimization is proved to be successful, and it is concluded that the method of optimization is versatile for other pipeline with complex flow field and has practical engineering value.