• Transactions of the Korean Society of Mechanical Engineers B
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• v.23 no.9
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• pp.1172-1177
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• 1999

Comparisons of measured turbulence properties in the unburned gas region of turbulent premixed flame stabilized by pilot flame, in cases of combusting and non-combusting flow conditions, are presented. Methane-air premixed jet at fuel equivalence ratio of 0.6 and 1.0 and Reynolds number of 7,000 was diagnosed using two-color laser velocimeter to obtain turbulence statistics. Same set of measurements was repeated at 21 locations within the unburned gas region of both combusting and non-combusting conditions. Velocity data were analyzed to evaluate the spatial distribution of turbulence properties including Reynolds stress, probability densities, joint probability densities and auto correlations. Contrary to assumptions of current theoretical models, significant influence of flame was observed in every property that was studied in the present investigation. The effective viscosity increased ten-fold when flame was on from cold flow values. The effect of mixing on joint probability as well as in turbulence intensity was suppressed by the flame. The measurements suggest that common assumptions of premixed flame model may result in sizable error in prediction of flame length and temperature distribution in near-field.

• Journal of the Korean Society of Food Culture
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• v.28 no.2
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• pp.204-211
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• 2013

The purpose of this study was to determine the optimal mixing conditions for two different amounts of turmeric (Curcuma longa L.) powder and olive oil for the processing of chicken sausage. The experiment was designed according to the central composite design of response surface methodology, with ten experimental points, including two replicates for turmeric powder and olive oil. The physicochemical and mechanical analysis of each sample, including water holding capacity, moisture content, lightness, redness, yellowness, hardness, chewiness, gumminess, and cohesiveness, showed significant differences. The results from sensory evaluations also showed very significant differences in color, flavor, tenderness, chewiness, and overall quality. The optimal formulation, calculated by numerical and graphical methods, was 1.89 g of turmeric powder and 9.77 g of olive oil. Under these conditions, the model predicted pH-6.01, salinity-0.20, WHC-94.88, $L^*$ value-61.13, $b^*$ value-37.45, hardness-$36.66{\times}10^2$ (N), springiness-8.70 (mm), chewiness-$26.88{\times}10^3$ ($N{\times}mm$).

• Preventive Nutrition and Food Science
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• v.16 no.4
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• pp.390-393
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• 2011

The effects of differing baking ingredient formulations on physicochemical qualities and consumer preferences were investigated using sponge cakes incorporated with tomato powder, a healthy and beneficial food ingredient, as a model system. Tomato powder was incorporated into cake batter at four different amounts (0%, 10%, 20%, and 30%, w/w) by replacing equivalent amount of wheat flour. After appropriate mixing, sponge cakes were baked and cake quality attributes were evaluated after cooling. Specific volume decreased with an increase in the tomato powder substitution, although not significantly (p>0.05). On the other hand, baking loss increased from 10.3 (control) to 13.4 (30% sample) as the tomato powder level increased in the formulation. Lightness ($L^*$) decreased significantly from 79.5 to 74.1 whereas the firmness significantly increased with the higher incorporation of tomato powder (p<0.05). The consumer preferences on color, taste, and flavor, but not softness, were significantly affected by the amount of tomato powder incorporated in the sample (p<0.05). With respect to overall acceptability, the 20% sample received the highest mean score of 5.1, although this was not significantly different from the 10% sample or control (p>0.05). The incorporation of tomato powder, up to 20%, in the formulation of sponge cakes did not significantly influence the consumers' acceptability in all attributes tested.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.10
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• pp.383-392
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• 2014

The research for coatings is one of the most popular and active research in the polymer industry. For the coatings, electronics industry, medical and optical fields are growing more important. In particular, the trend is the increasing of the technical requirements for the performance and accuracy of the coatings by the development of automotive and electronic parts. In addition, the industry has a need of more intelligent and automated system in the industry is increasing by introduction of the IoT and big data analysis based on the environmental information and the context information. In this paper, we propose an optimization model for the design of experiments based coating formulation data objects using the Internet technologies and big data analytics. In this paper, the coating formulation was calculated based on the best data analysis is based on the experimental design, modify the operator with respect to the error caused based on the coating formulation used in the actual production site data and the corrected result data. Further optimization model to correct the reference value by leveraging big data analysis and Internet of things technology only existing coating formulation is applied as the reference data using a manufacturing environment and context information retrieval in color and quality, the most important factor in maintaining and was derived. Based on data obtained from an experiment and analysis is improving the accuracy of the combination data and making it possible to give a LOT shorter working hours per data. Also the data shortens the production time due to the reduction in the delivery time per treatment and It can contribute to cost reduction or the like defect rate reduced. Further, it is possible to obtain a standard data in the manufacturing process for the various models.

• Korean Journal of Food Science and Technology
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• v.38 no.1
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• pp.68-74
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• 2006

To utilize sea tangle single cell detritus (SCD) as food additive, SCD noodle was developed using mixture model. Flour improved, whereas water decreased texture of SCD noodles. Texture of SCD noodle decreased initially and then increased as SCD content increased. Flour and SCD increased, whereas water decreased $L^*$ and $b^*$ values of dried and cooked noodles. Flour decreased $a^*$ values of dried and cooked noodles, while SCD increased $a^*$ value of cooked noodle. Response constraint coefficient showed SCD influence on texture, and $L^*$ and $b^*$ values of dried and cooked noodles was higher than those of flour and water, whereas water influence on $a^*$ value was higher than those of flour and SCD. Texture and color values fitted nonlinear model with interaction terms for flour-water, flour-SCD, and water-SCD. Optimum mixing ratio value of flour : water : SCD was 63.3 : 31.0 : 3.7%. Sensory evaluation value of SCD noodles was lower than those of industrial and electrolyzed SCD noodles.

• Food Engineering Progress
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• v.21 no.2
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• pp.167-173
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• 2017

Purple-fleshed potato powder (PFPP) was investigated to determine optimal mixing ratio with milk powder and dextrin to produce a ready-to-eat mashed potato powder. The rheological characteristics, color, and anthocyanin contents were studied at a different concentration of ingredients. The power-law model was applied to explain the mechanical spectra of mashed potatoes which represented the change in structure induced by different mixing ratios. Mixture design was used to obtain the experimental points used to establish the empirical models to describe the effects of each ingredient on the characteristic of the mashed potato. The results of mechanical spectra showed that both storage and loss moduli (G' and G'') were significantly influenced by PFPP and milk powder concentration. The power law parameters n' and n'' showed higher values for the mashed potato with a lower concentration of PFPP and a higher concentration of milk powder, which showed that the gel networks involved in the mashed potato were weaker. The optimum mixing ratio with the highest redness and anthocyanin content, while maintaining the rheological properties similar to the commercial mashed potato, was determined as PFPP:milk powder:dextrin = 90.49:4.86:4.65 (w/w). The proportions of PFPP and milk powder in the formulation significantly changed the characteristics of mashed potato, whereas no significant effect of dextrin was observed in this formulation.

• Korean journal of food and cookery science
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• v.31 no.2
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• pp.175-184
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• 2015

The purpose of this study was to determine the optimal mixing ratio of Agaricus blazei Murill powder and butter in the preparation of cookies. The experimental design utilized herein was based on central composite design for response surface methodology, which included 10 experimental points, including 2 replicates for Agaricus blazei Murill and butter. The physical, mechanical, and sensory properties of the test were measured, and these values were applied to the mathematical models. A canonical form and perturbation plot showed the influence of each ingredient on the final mixed product. The spread ratio increased significantly with an increase in Agaricus blazei Murill powder and butter (p<0.05). The response surface methodology was applied to evaluate the effect of Agaricus blazei Murill powder and butter on cookie moisture and color (L, a) (p<0.001). Sensory evaluation showed significant values for color (p<0.05), flavor (p<0.05), texture (p<0.05) and overall quality (p<0.01) in the predicted model. The optimum formulation by numerical and graphical methods was calculated as follows: Agaricus blazei Murill powder 3.63 g, butter 55.37 g.

• Korean Journal of Food Science and Technology
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• v.45 no.4
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• pp.473-477
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• 2013

The aim of this study was to identify the optimal ingredient-mixing ratio of Job's-tear and wheat flour subjected to extrusion. A modified distance-based mixture design analysis was chosen for the experimental design. The results showed that the bending failure force, the a-value, and the water absorbtion index (WAI) value had no correlation with the mixture ratio of Job's-tear and wheat flour. However, the diameter of the extrudates, the L- and b-values, and the water solubility index (WSI) value were all found to be correlated to the mixture ratio. While the first three values were determined using a linear model, the WSI value was determined using a quadratic model. The diameter and color had an inverse correlation to the mixture ratio: the higher the ratio of Job's-tear to wheat flour, the lower the diameter and darker the color. The L- and b-values were found to change in accordance with the mixture ratio of Job's-tear to wheat flour. The lowest WSI value was obtained at a 40:60 ratio of Job's-tear to wheat.

• Food Engineering Progress
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• v.14 no.3
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• pp.222-228
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• 2010

Effect of baking on the physicochemical and sensory properties was investigated using a model system of sponge cakes incorporated with Ecklonia cava powder as a value-added food ingredient. Ecklonia cava powder was incorporated into cake batter at 5 levels (0%, 2%, 4%, 6%, and 8%, w/w) by replacing equivalent amount of wheat flour. After appropriate mixing, sponge cakes were baked at ${185^{\circ}C}$ for 20 min in an oven. The baked cakes were cooled to room temperature for 1 hr prior to all measurements. The specific gravity of batter increased gradually with increase in Ecklonia cava powder content. The specific volume of sponge cakes tended to decrease while baking loss increased. Volume of the cakes decreased with higher amount of Ecklonia cava powder in the formulation as indicated by the decrease in the volume index. Sponge cakes became darker and firmer with increase in Ecklonia cava powder content (p<0.05). Color, seaweeds smell, and taste were distinctively classified by the sensory analyses (p<0.05). Finally, correlation analysis indicated that level of Ecklonia cava powder incorporation was well-correlated with all the physicochemical and sensory properties studied except for $a^{*}$-value and sensory firmness (p<0.05, p<0.01 or p<0.001).

• The Korean Journal of Food And Nutrition
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• v.20 no.1
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• pp.1-8
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• 2007

Tortillas were prepared using rice and wheat flour. The experimental design incorporated thee independent variables(rice, wheat flour and moisture content) producing 14 samples of different proportions of each variable for each tortilla. The following were analysed using Design Expert 6 to unveil the influences of these variables on tensile strength and color(L, a, b). Results indicated that tensile strength increased with increasing rice and wheat flour content, however, decreased with increasing moisture content. Lighteness(L), of the tortilla increased with increased rice content whereas yellowness(b) increased with increased wheat flour content. The model suggests that tensile strength and color(L, a, b) in tortillas are highly correlated(SD Comment - give correlation coefficient and p-value). As well, the numerical optimization method suggests that the ratio of wheat flour to rice flour to moisture content which maximizes the three responses(tensile strenth, L and b) is 18.26 : 33.92 : 39.24%, 28.15 : 25.77 : 37.50%.