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Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 31 , No. 3

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Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 31, No. 3, pp. 191-196
Abbreviation: J. Korean Soc. Manuf. Technol. Eng.
ISSN: 2508-5107 (Online)
Print publication date 15 Jun 2022
Received 06 May 2022 Revised 23 May 2022 Accepted 27 May 2022
DOI: https://doi.org/10.7735/ksmte.2022.31.3.191
전산해석기반 헤어드라이어 임펠러 형상 개선을 통한 유속향상 연구
정병관^a ; 이혜진^a^{, b} ; 원찬희^b^{, *}


Study on the Improvement of Flow Velocity by Modifying the Shape of the Hair Dryer Impeller Based on Computational Analysis
Byung-kwan Jeong^a ; Hye-Jin Lee^a^{, b} ; Chan-Hee Won^b^{, *}
aIndustrial Convergence & Engineering Innovation Center, Korea Institute of Industrial Technology
bDigital Transformation R&D Department, Korea Institute of Industrial Technology
Correspondence to : ^*Tel.: +82-31-8040-6183 E-mail address: chan2@kitech.re.kr (Chan-Hee Won).



Funding Information ▼ Ministry of Trade, Industry and Energy 20016357

Abstract

In this study, structural problems of a hair dryer was analyzed by computational fluid dynamics analysis, and the structure of it was optimized by improving the impeller design. First, we measured the maximum velocity of a hair dryer for four different impeller speeds based on the KS standard (KS C 9209:2013). By analyzing the air flow profile inside the hair dryer using COMSOL Multiphysics, we confirmed that the pressure at the lower end of the impeller increased due to the stagnant flow at the lower end of the hair dryer. We solved this abnormal air flow by changing the height and angle of the impeller. We also verified the validity of the simulation by calculating the maximum air flow of a hair dryer and comparing it with that of the experiment. Consequently, we designed a hair dryer such that the maximum wind speed was improved by 34.4%-56.8%.


Keywords: Hair dryer, KS standard, Computational fluid dynamics(CFD), Laminar flow, Maximum flow velocity

Acknowledgments

본 논문은 산업통상자원부의 전자부품산업기술개발사업의 지원으로 수행되었습니다. [과제명: 스마트 센싱 유닛 제품화 실증기반 플랫폼 기술개발, 과제번호:20016357]

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Byung-kwan Jeong

Researcher in the Department of Industrial Convergence Infrastructure Office, Korea Institute of Industrial Technology. His research interest is Computational Aided Engineering(CAE).

E-mail: blue528@kitech.re.kr

Hye-Jin Lee

Managing Director in the Industrial Convergence & Engineering Innovation Center. His research interest is product optimization design and manufacturing engineering analysis.

E-mail: naltl@kitech.re.kr

Chan-Hee Won

Senior Researcher in the Digital Transformation R&D Department. His research interest is AI-based process optimization and nonlinear manufacturing engineering.

E-mail: chan2@kitech.re.kr