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RISS 인기검색어
- 검색키워드
- 저자 : David Ling-Shun Hung (검색결과 2 건)
- 무료
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- 유료
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IMPINGEMENT-INDUCED STABILITY ANALYSIS OF INTAKE MANIFOLD AIR JETS USING HIGH SPEED PIV AND POD
Penghui Ge,David Ling-Shun Hung 한국자동차공학회 2021 International journal of automotive technology Vol.22 No.2
The flow stability induced by the impingement of gas jets exiting from the intake manifold affects the in- cylinder flow characteristics of internal combustion engine. Using high-speed planar particle image velocimetry (PIV) with proper orthogonal decomposition (POD) analysis, an investigation was conducted to reveal the spatio-temporal characteristics of annular gas jets impinging in a region between the exits of two intake valves. Unique flow behaviors are identified where strong initial interaction of impinging jets appears near the valve exit as a result of fierce flow vorticity competition in both clockwise and counter-clockwise directions. This mixing zone exhibits strong fluctuations in the angle of the merged gas jet. Flow vorticity and merged jet angle are highly correlated with each other, and the quasi-periodical behavior of the jet impingement is linked to the kinetic energy dissipation. In addition, using POD, the underlying flow structures show large- scale rotating structures with translation which are responsible for the quasi-periodical behavior. In summary, three types of flow stability can be identified resulting from different levels of induced impingement: one-way interaction of single jet flow case, two-way interaction of dual impinging jets with equal flow magnitude, and transitional one-way interaction of dual impinging jets with unequal flow magnitude.
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ENERGY CONSUMPTION ANALYSIS OF DIFFERENT BEV POWERTRAIN TOPOLOGIES BY DESIGN OPTIMIZATION
Bin Wang,David Ling-Shun Hung,Jie Zhong,Kwee-Yan Teh 한국자동차공학회 2018 International journal of automotive technology Vol.19 No.5
Flexible layout of electric motors in battery electric vehicles (BEVs) has enabled different powertrain topologies to be used. However, these different powertrain topologies also affect the overall efficiency of energy conversion from the electrochemical form stored in the battery to the mechanical form on the driving wheels for vehicle propulsion. In this study, a methodology combining an energy-based BEV simulation model with the genetic algorithm optimization approach is applied to evaluate the energy efficiency of three different BEV powertrain topologies. The analysis is carried out assuming two different urban driving conditions, as exemplified by the New European Drive Cycle (NEDC) and the Japanese JC08 drive cycle. Each of the three BEV powertrain topologies is then optimized − in terms of its electric motor size and, where applicable, gear reduction ratio − for minimum energy consumption. The results show that among the three powertrain topologies, the wheel-hub drive without gear reducers consumes the least energy. The energy consumption of BEVs under the more aggressive JC08 drive cycle is consistently 8 % above that under NEDC for all three powertrain topologies considered.
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