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Summary & Details

A Study on the Improving Radiator Performance Prediction Accuracy to Meet Cooling Target

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20265179

Paper/Info type: Proceedings (Spring)

No.42-26

Pages: 1-6(Total 6 p)

Date of publication: May 2026

Publisher: JSAE

Language: English

Event: 2026 JSAE Annual Congress (Spring)

Detailed Information

Author(J)	1) Sangkyu Lee, 2) Junjung Park
Author(E)	1) Sangkyu Lee, 2) Junjung Park
Affiliation(J)	1) Hyundai Motor, 2) MPSE
Affiliation(E)	1) Hyundai Motor, 2) MPSE
Abstract(E)	In the conceptual design phase, there often exists a significant discrepancy between the predicted data provided by suppliers and the actual test data for radiators. This issue primarily arises from the limitations of CAE analysis tools, which fail to adequately reflect the specific characteristics of radiators. To address this problem, we have developed a theoretical model that predicts performance based on actual test. Additionally, we have created a user-friendly program that enhances the accuracy and reliability of performance predictions by utilizing a dedicated database.

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