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JET IMPINGMENT MELTING WITH VAPORIZATION: A NUMERICAL STUDY

机译:汽化汽化汽化的数值研究

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The objective of this work was to develop a computational model for better understanding of the process of producing contrast agent, used in Magnetic Resonance Imaging (MRI). Contrast agents are used to provide high-resolution anatomical and functional information to identify tumor growth for prostrate and breast cancers. The production process for the contrast agents involves melting and dissolution of the imaging agent (maintained at very low temperature ~1K to retain its polarization capability) by injecting the jet of alkaline solvent. Dissolution should happen in minimum time to allow for time required to inject contrast agent into the patient with sufficient time to travel to the targeted organ.rnThis process involves multi-phase, multi-species and chemically reacting fluid dynamics. The intricacy and complexity of the melting process and very small time scales (order of a few milliseconds) poses practical challenges of collecting enough experimental data for the better understanding of such processes. It creates a need for looking at these kinds of processes from a numerical point of view. A computational model was developed in commercial software to capture the relevant physics involved in the flow-thermal process. System was analyzed to guide design changes with the objective of minimizing the melting time of imaging agent. Model predictions were validated against experiments and sensitivity studies were carried out pertaining to operating parameters such as solvent flow rate, temperature and other geometrical parameters. The predictions from model gave an insight into the process. It was found that melting time is not only a function of operating conditions and geometrical parameters but also a function of nature of the multiphase flow. Other than solid and molten phase, vapor phase (vaporization of the alkaline solvent) also coexist in the system under certain operating conditions; which further complicates the process. Desired operating conditions and geometrical changes were recommended to minimize the melting time. It is believed that current findings and numerical modeling approach could be utilized in other similar processes.
机译:这项工作的目的是开发一种计算模型,以更好地了解磁共振成像(MRI)中使用的造影剂的生产过程。造影剂用于提供高分辨率的解剖学和功能信息,以鉴定前列腺癌和乳腺癌的肿瘤生长。造影剂的生产过程涉及通过注入碱性溶剂的射流使显像剂熔化和溶解(保持在约1K的极低温度下以保持其极化能力)。溶解应在最短的时间内发生,以留出足够的时间将造影剂注射入患者体内,以到达目标器官。该过程涉及多相,多物种和化学反应的流体动力学。熔化过程的复杂性和复杂性以及非常小的时间范围(几毫秒的量级)提出了收集足够的实验数据以更好地理解此类过程的实际挑战。这就需要从数字的角度看待这类过程。在商业软件中开发了一个计算模型来捕获流热过程中涉及的相关物理。对系统进行了分析,以指导设计更改,以最大程度地减少显像剂的熔化时间。针对实验验证了模型预测,并针对诸如溶剂流速,温度和其他几何参数等操作参数进行了敏感性研究。通过模型进行的预测可以深入了解该过程。已经发现,熔化时间不仅是操作条件和几何参数的函数,而且还是多相流的性质的函数。除固相和熔融相外,在某些操作条件下,气相(碱性溶剂的蒸发)也共存于系统中。这进一步使过程复杂化。建议使用所需的工作条件和几何形状变化以最大程度地缩短熔化时间。据信,当前的发现和数值建模方法可用于其他类似过程。

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