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Microchannel approximation assisted design optimization and CFD verification.

Number: pap. n. R9, 2312

Author(s) : SALEH K., ABDELAZIZ O., AUTE V., et al.

Summary

In electronics cooling devices, it is important to minimize the maximum channel temperature while maximizing the heat density (heat rejected per unit volume of the microchannel). This is a bi-objective optimization problem resulting in a tradeoff between the above mentioned two conflicting objectives. In order to find the optimal compact heat exchanger designs, mini and microchannel geometries are being utilized in microchannel designs. The objective of this paper is to evaluate the potential of small flow channels of prescribed dimension limits in designing high heat density microchannels for a given application. An approximation assisted optimization technique is applied to the optimization of a microchannel with single phase flow and constant heat flux. Adaptive sampling technique and the Kriging method is used to build offline metamodels for the maximum temperature, fluid outlet temperature, and pressure drop inside the channels. A multi-objective genetic algorithm is used as the optimizer. The results are verified using CFD simulations.

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Pages: 8 p.

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Details

  • Original title: Microchannel approximation assisted design optimization and CFD verification.
  • Record ID : 30000650
  • Languages: English
  • Source: 2010 Purdue Conferences. 13th International Refrigeration and Air-Conditioning Conference at Purdue.
  • Publication date: 2010/07/12

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