Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Hyeon Woo Park is active.

Publication


Featured researches published by Hyeon Woo Park.


Cyta-journal of Food | 2018

Effect of drying and grinding characteristics of colored potato (Solanum tuberosum L.) on tribology of mashed colored potato paste

Hyeon Woo Park; Won Byong Yoon

ABSTRACT The mouthfeel of mashed potato prepared with steamed purple flesh potato (SPFP) was investigated by measuring tribological and rheological characteristics. Mathematical models describing pre-processes such as drying and grinding associated with physical properties of mashed potato were also explored. The effect of drying temperature (60, 70, 80, and 90°C) on quality changes (moisture and anthocyanin content) of SPFP was successfully described (R2 > 0.9583). The sigmoid model was suitably applied to estimate particle sizes of dried SPFP during grinding (R2 > 0.9864). As the particle size of mashed SPFP increased, friction coefficient increased, and storage and loss modulus decreased. Taste, smoothness, and after-feel sensation were increased as particle sizes decreased, while appearance and odor showed no significant differences. To predict the sensory property using tribology and rheology, the specific conditions were successfully determined (R2 > 0.9926).


Journal of The Korean Society of Food Science and Nutrition | 2015

Effect of Grain Size and Drying Temperature on Drying Characteristics of Soybean (Glycine max) Using Hot Air Drying

Hyeon Woo Park; Won Young Han; Won Byong Yoon

ABSTRACT The effects of drying temperature on drying characteristics of soybeans with different grain sizes [6.0 (S), 7.5 (M), and 9.0 mm (L) (±0.2)] with 25.0% (±0.8) initial moisture content were studied. Drying temperatures varied at 25, 35, and 45°C, with a constant air velocity (13.2 m/s). Thin-layer drying models were applied to describe the drying process of soybeans. The Midilli-Kucuk model showed the best fit (R 2 >0.99). Based on the model parameters, drying time to achieve the target moisture content (10%) was successfully estimated. Drying time was strongly dependent on the size of soybeans and the drying temperature. The effective moisture diffusivity (D eff ) was estimated by the diffusion model based on Ficks second law. D eff values increased as grain size and drying temperature increased due to the combined effect of high temperatures and high drying rates, which promote compact tissue. D eff values of S, M, and L estimated were in the range of 0.83×10 -10 to 1.51×10


International Journal of Food Engineering | 2018

Drying Characteristics of Soybean (Glycine Max) Using Continuous Drying and Intermittent Drying

Hyeon Woo Park; Won Young Han; Won Byong Yoon

Abstract The effects of drying temperature by continuous and intermittent drying on the drying characteristics of soybean were determined in this study. Among the thin-layer drying models, the Midilli–Kucuk model showed the best fit (R2 > 0.99) to describe the drying of soybean. At 300 min of the effective drying time, the moisture content of continuous drying at 35, 40, and 45 ºC were 9.38 (±0.00), 8.69 (±0.17), and 7.70 % (±0.48), respectively; while the moisture content of intermittent drying at 35, 40, and 45 ºC were 8.28 (±0.21), 7.31 (±0.41), and 6.97 % (±0.07), respectively. The image analysis method for detection of the crack in soybean demonstrated that at the target moisture content (7.7 %), cracked grain ratios with intermittent drying at 35, 40, and 45 ºC were reduced by 52.08, 27.59, and 18.24 %, respectively. With the effective drying time, the activation energy for intermittent drying (9.33 kJ/mol) was significantly lower than that value for continuous drying (21.23 kJ/mol).


Drying Technology | 2018

Prediction of the intermittent drying behavior of soybeans [Glycine max (L.)] using novel multilayered mass transfer simulation with an image analysis

Hyeon Woo Park; Won Byong Yoon

Abstract This study developed a multilayered moisture conservation model (MCM) to reflect the structural differences of soybean. The blue-channel image derived from image analysis revealed two different structure regimes in the soybeans. Computational fluid dynamics simulations were used to simulate the flow fields of the convective dryer and estimate the mass transfer coefficient from the local air velocity (2.04 m/s). The MCM accurately predicted the moisture changes of soybean during continuous and intermittent drying (RMSE <0.214). During an effective drying time of 600 min, increasing the intermittency from 0 to 0.5 decreased the moisture content from 8.04 to 6.57%.


Journal of Food Engineering | 2015

Measuring ring tensile stress and strain of surimi gels using a novel ring tensile test with image analysis

Hyeon Woo Park; Won Byong Yoon


Journal of Food Process Engineering | 2016

Analysis of Grinding Kinetics and Flow Behavior of Adzuki Bean (Phaseolus Angularis) Flour for Hopper Design

Hyeon Woo Park; Sun Tae Kim; Myoung Gun Choung; Won-Young Han; Won Byong Yoon


Food bioscience | 2017

Image and chemical analyses of freezing-induced aggregates of fish natural actomyosin as affected by various phosphate compounds

Jinhwan Lee; Hyeon Woo Park; Ronald Jenkins; Won Byong Yoon; Jae W. Park


Processes | 2018

Computational Fluid Dynamics (CFD) Modelling and Application for Sterilization of Foods: A Review

Hyeon Woo Park; Won Byong Yoon


International Journal of Agricultural and Biological Engineering | 2018

Effects of air movement in a hot air dryer on the drying characteristics of colored potato (Solanum tuberosum L.) using computational fluid dynamics

Hyeon Woo Park; Won Byong Yoon


Food and Bioprocess Technology | 2018

Development of a Novel Image Analysis Technique to Detect the Moisture Diffusion of Soybeans [Glycine max (L.)] During Rehydration Using a Mass Transfer Simulation Model

Hyeon Woo Park; Won Byong Yoon

Collaboration


Dive into the Hyeon Woo Park's collaboration.

Top Co-Authors

Avatar

Won Byong Yoon

Kangwon National University

View shared research outputs
Top Co-Authors

Avatar

Jae W. Park

Kangwon National University

View shared research outputs
Top Co-Authors

Avatar

Myoung Gun Choung

Kangwon National University

View shared research outputs
Top Co-Authors

Avatar

Sun Tae Kim

Gyeongsang National University

View shared research outputs
Top Co-Authors

Avatar

Jinhwan Lee

Oregon State University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Gwi Jung Han

Rural Development Administration

View shared research outputs
Top Co-Authors

Avatar

Hwabin Jung

Kangwon National University

View shared research outputs
Top Co-Authors

Avatar

Jae W. Park

Kangwon National University

View shared research outputs
Top Co-Authors

Avatar

Kyung Mi Kim

Rural Development Administration

View shared research outputs
Researchain Logo
Decentralizing Knowledge