首页> 外文会议>ASME Fluids Engineering Division summer meeting >EVALUATION OF TURBULENCE MODELS FOR THE NUMERICAL STUDY OF RECIPROCATING-MECHANISM DRIVEN HEAT LOOP
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EVALUATION OF TURBULENCE MODELS FOR THE NUMERICAL STUDY OF RECIPROCATING-MECHANISM DRIVEN HEAT LOOP

机译:往复机构驱动热循环数值研究的湍流模型评估

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A bellows-type Reciprocating-Mechanism Driven Heat Loops (RMDHL) is a novel heat transfer device that could attain a high heat transfer rate through a reciprocating flow of the working fluid inside the heat transfer device. Although the device has been tested and validated experimentally, analytical or numerical study have not been undertaken to understand its working mechanism and to provide guidance for the device design. In a bid to improve the accuracy of the numerical models of the RMDHL, seven turbulence models for fluid flow have been alternately adapted and implemented in an existing numerical RMDHL model. The obtained results were studied and compared with prior experimental results to gain confidence and select the most suitable turbulence modeling techniques. The Boussinesq approximation has been used and the governing equations have been numerically solved using the CFD solver FLUENT. For the three-dimensional fluid flow, the turbulence models were studied are the Standard, RNG, and Realizable k - ε Models, Standard and SST k - ω Models, Transition k-k_L- ω Model and the Transition SST Model. The result of each numerical simulation have been analyzed and ranked using a numerical model calibration template. It was found that the standard k - ω Models provided the least accurate results while the RNG- k - ε Model provided the most accurate predictions. It is expected that the results will help improve the accuracy of the work on the RMDHL modeling.
机译:波纹管式往复机构驱动的热回路(RMDHL)是一种新颖的传热装置,其可以通过在传热装置内的工作流体的往复流动而获得高的传热率。尽管已通过实验对设备进行了测试和验证,但尚未进行分析或数值研究来了解其工作机理并为设备设计提供指导。为了提高RMDHL数值模型的准确性,已经在现有的RMDHL数值模型中交替采用了7种流体湍流模型并对其进行了实现。对获得的结果进行了研究,并将其与先前的实验结果进行比较,以获得信心并选择最合适的湍流建模技术。使用了Boussinesq逼近,并且使用CFD求解器FLUENT对控制方程进行了数值求解。对于三维流体流动,研究了湍流模型,包括标准模型,RNG模型和可实现的k-ε模型,标准模型和SST k-ω模型,过渡k-k_L-ω模型和过渡SST模型。使用数值模型校准模板对每个数值模拟的结果进行了分析和排名。发现标准的k-ω模型提供的结果最不准确,而RNG- k-ε模型提供的预测最准确。预期结果将有助于提高RMDHL建模工作的准确性。

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