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- 저자 : Ping Li(리핑) (검색결과 3 건)
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Li Ping(리핑),Pan Younghwan(반영환) 대한인간공학회 2019 대한인간공학회 학술대회논문집 Vol.2019 No.5
Objective: Tea service design pattern research - in China"s tea in Guangxi agricultural projects, for example objective: this study is based on the effective sales model research in the tea industry sales, consumer buying patterns of China"s Guangxi tea analysis, then summarizes sales model and the feasibility of the tea industry in Guangxi, and finally, find out the way to improve or improve the tea industry in Guangxi sales, the tea industry service design new pattern. Background: As an important application place of the Chinese tea culture system, Guangxi has not only created a strong tea industry, but also has been widely used in daily life. At the same time, it is also a socially influential industry in the tea sales industry chain. As a case study, we mainly analyze the current status and impact of the sales model of the tea industry. Method: This paper makes an analysis based on consumption and purchase. Taking the form of sales of Guangxi tea as an example, it sorts out the relevant data of purchase and experience, and forms a new model analysis report of sales service design of tea industry. Results: Based on the survey of user purchasing patterns in the tea service design model, consumers find more choices in physical shopping in the tea industry, and hope to get more service experience in consumption. Consumers and sellers in the tea sales situation. The service model tends to be traditional. Conclusion: Consumers choose more entity purchase mode in the way of purchasing tea. The analysis results of tea sales service mode and the innovation of service design may contribute to the sales of tea products, which is worthy of attention.
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Shape Optimization of Pin-Fins in Cooling Channel
Ping Li(리핑),Kwang-Yong Kim(김광용) 한국유체기계학회 2006 유체기계 연구개발 발표회 논문집 Vol.- No.-
This work presents a numerical procedure for multiple objectives to optimize the staggered elliptic-shaped short pin-fin arrays by selecting an appropriate compromise between turbulent heat transfer and friction-loss. The response surface approximation (RSA) is used to reduce the computational burden and to approximate the Pareto optimal front (POF) with Reynolds-averaged Navier-Stokes (RANS) analysis of flow and heat transfer. The Pareto optimal solutions are obtained using a combination of an evolutionary algorithm (elitist non-dominated sorting genetic algorithm NSGA-Ⅱ) and a local search (ε-constraint strategy). Shear stress transport (SST) turbulence model is used as a turbulence closure. Computational results for heat transfer rate show a reasonable agreement with the experimental data. Four nondimensionless design variables are chosen. D-optimal method is used to determine the training points as a mean of design of experiment. The Pareto optimal front for the pin-fin arrays has been obtained.
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