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An Automated Workflow for Efficient Conjugate Heat Transfer Analysis of a Diesel Engine Louisiana State University
- Format:
- Book
- Conference/Event
- Author/Creator:
- Chukwuemeka, Edison, author.
- Conference Name:
- SAE WCX Digital Summit (2021-04-13 : Live Online, Pennsylvania, United States)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2021
- Summary:
- The internal combustion engine's performance is affected by in-cylinder combustion processes and heat transfer rates through the combustion chamber walls. Hot spots may affect the reliability and durability of the engine components. Design of efficient and effective coolant systems requires accurate accounting of the heat fluxes into and out of the solid parts during the engine operation. The need to assess the engine's performance early in the design process has motivated the use of a computational approach to predict such data. A more accurate representation of the engine's operation is obtained by coupling the thermal, flow, and combustion analysis of the various components, such as the combustion chamber, ports, engine block, and its cooling system. Typically, a stand-alone CFD simulation does not capture the complex nature of the problem, and the manual transfer of data between multiple analyses may lead to an onerous or error-prone workflow requiring multiple user interventions. Here we present an accurate and efficient workflow for the conjugate heat transfer analysis of a diesel engine conducted using Ansys System Coupling software [1]. This workflow allows a full coupling between the fluid flow and combustion processes inside the combustion chamber, performed using Ansys Forte software [2], with the fluid flow and thermal analysis on the surrounding engine block carried out using Ansys Fluent [3]. The coupling is fully automated within a framework that handles the data exchange and manages the iterative solution between the two solvers to convergence
- Notes:
- Vendor supplied data
- Publisher Number:
- 2021-01-0402
- Access Restriction:
- Restricted for use by site license
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