Process for optimizing a heat exchanger configuration
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
F28F-027/00
H05K-007/20
출원번호
US-0775648
(2013-02-25)
등록번호
US-9354001
(2016-05-31)
발명자
/ 주소
Eckberg, Eric A.
Mahaney, Jr., Howard V.
Megarity, William M.
Schmidt, Roger R.
Shah, Tejas
Shurson, Scott A.
출원인 / 주소
LENOVO ENTERPRISE SOLUTIONS (SINGAPORE) PTE. LTD.
대리인 / 주소
Kunzler Law Group
인용정보
피인용 횟수 :
0인용 특허 :
23
초록▼
A heat exchanger core optimization method is provided for a heat exchanger door which resides at an air inlet or outlet side of an electronics rack, and includes an air-to-coolant heat exchanger with a heat exchanger core. The core includes a first coolant channel coupled to a coolant inlet manifold
A heat exchanger core optimization method is provided for a heat exchanger door which resides at an air inlet or outlet side of an electronics rack, and includes an air-to-coolant heat exchanger with a heat exchanger core. The core includes a first coolant channel coupled to a coolant inlet manifold downstream from a second coolant channel, and the first channel has a shorter channel length than the second channel. Further, coolant channels of the core are coupled to provide counter-flow cooling of an airflow passing across the core. The core optimization method determines at least one combination of parameters that optimize for a particular application at least two performance metrics of the heat exchanger. This method includes obtaining performance metrics for boundary condition(s) of possible heat exchanger configurations with different variable parameters to determine a combination of parameters that optimize the performance metrics for the heat exchanger.
대표청구항▼
1. A method comprising: determining at least one combination of parameters that optimizes at least two performance metrics of a heat exchanger, the determining comprising: ascertaining at least one non-variable parameter of the heat exchanger and two variable parameters comprising a configuration of
1. A method comprising: determining at least one combination of parameters that optimizes at least two performance metrics of a heat exchanger, the determining comprising: ascertaining at least one non-variable parameter of the heat exchanger and two variable parameters comprising a configuration of one or more of a coolant channel, a finstock, and a manifold of the heat exchanger;ascertaining at least one boundary condition for the heat exchanger comprising a condition of a system in which the heat exchanger is installed;obtaining, by at least one processor, at least two performance metrics for the at least one boundary condition for at least two possible heat exchanger configurations of the heat exchanger that include different combinations of the at least one non-variable parameter and at least two variable parameters; andusing the at least one processor in determining which of the at least two possible heat exchanger configurations optimizes the at least two performance metrics for the at least one boundary condition, the determining facilitating ascertaining at least one combination of the at least two variable parameters that optimizes the at least two performance metrics of the heat exchanger. 2. The method of claim 1, wherein the heat exchanger comprises an air-to-coolant heat exchanger, and wherein the at least two performance metrics include at least two of: heat removal of the at least two possible heat exchanger configurations;air side pressure drop of the at least two possible heat exchanger configurations;coolant side pressure drop of the at least two possible heat exchanger configurations;weight of the heat exchanger; anddepth of the heat exchanger. 3. The method of claim 1, further comprising constructing at least a portion of the at least two possible heat exchanger configurations and performing measurements thereon and generating the at least two performance metrics for the at least one boundary condition for the at least two possible heat exchanger configurations. 4. The method of claim 1, wherein the at least one processor determines the at least two performance metrics for the at least one boundary condition for the at least two possible heat exchanger configurations and the at least two variable parameters. 5. The method of claim 1, wherein the at least one processor utilizes the at least one boundary condition, the different combinations of the at least two variable parameters, and the at least two performance metrics in producing a visual indication of a relationship of the different combinations of the at least two variable parameters with the boundary condition(s), and the at least two performance metrics, and thereby facilitates determining at least one combination of the at least two variable parameters that optimizes the at least two performance metrics for the at least one boundary condition of the heat exchanger. 6. The method of claim 1, wherein the at least one processor utilizes the at least one boundary condition, the different combinations of the at least two variable parameters, and the corresponding at least two performance metrics in determining at least one combination of the at least two variable parameters that optimizes the at least two performance metrics for the at least one boundary condition of the heat exchanger. 7. The method of claim 1, further including obtaining at least one limiting performance metric for the at least two possible heat exchanger configurations, and filtering out a possible heat exchanger configuration of the at least two possible heat exchanger configurations that includes at least one limiting performance metric for the at least two boundary conditions outside of an acceptable threshold before the using of the at least one processor in determining which of the at least two possible heat exchanger configurations optimizes the at least two performance metrics for the at least one boundary condition. 8. A method comprising: determining at least one combination of parameters that optimizes performance metrics of an air-to-coolant heat exchanger, the determining comprising: ascertaining at least one non-variable parameter of the heat exchanger and at least two variable parameters comprising a configuration of one or more of a coolant channel, a finstock, and a manifold of the air-to-coolant heat exchanger;ascertaining at least two boundary conditions for the heat exchanger comprising a condition of a system in which the heat exchanger is installed;obtaining, by at least one processor, at least two performance metrics, for the at least two boundary conditions, of at least two possible heat exchanger configurations that include different combinations of the at least one non-variable parameter and the at least two variable parameters;using the at least one processor in determining whether a possible heat exchanger configuration of the at least two possible heat exchanger configurations has acceptable performance metrics for the at least two boundary conditions, thereby facilitating determining at least one combination of the at least one non-variable parameter and the at least two variable parameters that provides desired performance metrics, for the at least two boundary conditions, of the air-to-coolant heat exchanger; andwherein the at least two performance metrics include a heat removal rate from airflow across the air-to-coolant heat exchanger and an air side pressure drop across the air-to-coolant heat exchanger. 9. The method of claim 8, further comprising constructing at least a portion of the at least two possible heat exchanger configurations and performing measurements thereon and generating the at least two performance metrics, for the at least two boundary conditions, of the at least two possible heat exchanger configurations. 10. The method of claim 8, wherein the at least one processor determines the at least two performance metrics, for the at least two boundary conditions, for the at least two possible heat exchanger configurations and the at least one non-variable parameter, and the at least two variable parameters. 11. The method of claim 8, wherein the at least one processor utilizes the at least two boundary conditions, the different combinations of the at least one non-variable parameter and the at least two variable parameters, and the at least two performance metrics in producing a visual indication of a relationship of the different combinations of the at least one non-variable parameter and the at least two variable parameters with the boundary conditions, and the at least two performance metrics, and thereby facilitates determining at least one combination of the at least one non-variable parameter and the at least two variable parameters that optimizes the at least two performance metrics, for the at least two boundary conditions, of the air-to-coolant heat exchanger. 12. The method of claim 8, wherein the at least one processor utilizes the at least two boundary conditions, the different combinations of the at least one non-variable parameter and the at least two variable parameters, and the corresponding at least two performance metrics in determining at least one combination of the at least one non-variable parameter and the at least two variable parameters that optimizes the at least two performance metrics, for the at least two boundary conditions, of the air-to-coolant heat exchanger. 13. The method of claim 8, further including obtaining at least one limiting performance metric for the at least two possible heat exchanger configurations, and filtering out a possible heat exchanger configuration of the at least two possible heat exchanger configurations that includes at least one limiting performance metric for the at least two boundary conditions outside of an acceptable threshold before the using of the at least one processor in determining which of the at least two possible heat exchanger configurations optimizes the at least two performance metrics for the at least two boundary conditions.
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