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ANSYS AIM : Virtauslaskenta ja lämmönsiirto

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ANSYS AIM : Virtauslaskenta ja lämmönsiirto

The objective of this thesis work was to study, how Discovery Ansys Integrated Multiphysics (Discovery AIM) fares with solving analytical fluid flow and heat transfer problems numerically and how well is it able to build a simulation according to measurements from a test rig. These problems were chosen to represent some of the most common types from literature. This work concentrates only on the fluid flow simulation and thermal simulation properties of AIM, which use the same solver as Ansys Fluent. Besides flow and simulation, AIM also allows users to simulate e.g. structural and electromagnetic problems. These additional uses were not investigated here, in order to limit time and space, and since they were of no interest for the current need of the work. First, we introduce some of the most basic concept and theories behind computational fluid dynamics and thermal calculations. After this, Ansys AIM user interface is introduced, followed by a general description of how the program works and what kind of limitations users might run into, by trying to leverage it. After theory, we are introduced into the analytical problems, which we are supposed to both model and calculate numerically with AIM. First, we introduce the analytical solution and then the idea of how to port that into AIM calculations. Then we show if and how the numerical solution differs from the analytical. Next, we describe the test bench, its components and programs used to measure data from the test run. Then we describe the test process and what we are aiming to achieve during the test run and how. The test bench consisted of a computer pc case, with a processor and heat sink, cooled by a fan. Temperature measurements were taken from the heat sink and the processor. Finally, we went through results and found out that Ansys (Discovery) AIM does not lend itself very well to solving analytical problems numerically. Even with a small sample, we found differences exceeding six percent at worst. In addition, with no ability to simulate in two dimensions, some problems had to be modeled and calculated in three dimensions. On the other hand, simulating the test scenario based on measurements from the test bench worked well, and AIM can be recommended for such tasks, if deforming flow volumes or reactive flows are not affecting the outcome on those simulations.

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