• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.16 no.4
• /
• pp.345-351
• /
• 2003

Due to increasing legal and market demands for safety in the automotive design process, the design of integrated seat is important more and mote because it should satisfy the conflict between stronger and lower weight for safety and environmental demands. In this study for crash simulations, the numerical simulations have been carried out using the explicit finite element program LS-Dyna according to the FMVSS 210 standard for safety test of seat. Since crash simulations are very time-consuming and a series of simulations that does not lead to a better result is very costly, the optimization method must be both efficient and reliable. As a result of that, statistical approaches such as design of experiments and response surface model have been successfully implemented to reduce time-consuming LS-Dyna simulations and optimize the safety and environmental demands together with nonlinear optimization algorithm. Design of experiments is used lot exploring the design space of maximum displacement and total weight and for building response surface models in order to minimize the maximum displacement and total weight of integrated seat.

• Journal of Korean Society of Environmental Engineers
• /
• v.36 no.6
• /
• pp.429-433
• /
• 2014

The objective of this study was to find optimum amount of bamboo smoke distillate (BSD) and reaction time (RT) for ammonia removal in food waste compost (FWC). BSD amount (30 to 90 mL BSD/600 g FWC) and RT (1 to 3 h) significantly affected the ammonia removal in FWC. Within the design boundaries, the optimum conditions for maximum ammonia removal (8.47 ppm $NH_3$/600g FWC) were 74 mL BSD/600 g FWC (0.123 mL BSD/g FWC) and 3 h RT. The BSD was effective on ammonia removal in FWC, rather than vinegar (p < 0.05). Our results proved a good potential of BSD to serve as an alternative deodorant for FWC.

• Journal of the Korean Society for Precision Engineering
• /
• v.30 no.10
• /
• pp.1079-1086
• /
• 2013

Optimal mount position of a front pillar trim considering heat resistant characteristics can be determined by two methods. One is conventional approximate optimization method which uses the statistical design of experiments (DOE) and response surface method (RSM). Generally, approximated optimum results are obtained through the iterative process by a trial and error. The quality of results depends seriously on the factors and levels assigned by a designer. The other is a methodology derived from previous work by the authors, which is called sequential design of experiments (SDOE), to reduce a trial and error procedure and to find an appropriate condition for using artificial neural network (ANN) systematically. An appropriate condition is determined from the iterative process based on the analysis of means. With this new technique and ANN, it is possible to find an optimum design accurately and efficiently.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.24 no.3 s.174
• /
• pp.661-666
• /
• 2000

Optimization of the elastic joint of train is performed according to the minimization of ten responses which represent driving safety and ride comfort of train and analyzed by using the each response se surface model from stochastic design of experiments. After the each response surface model is constructed, the main effect and sensitivity analyses are successfully performed by 2nd order approximated regression model as described in this paper. We can get the optimal solutions using by nonlinear programming method such as simplex or interval optimization algorithms. The response surface models and the optimization algorithms are used together to obtain the optimal design of the elastic joint of train. the ten 2nd order polynomial response surface models of the three translational stiffness of the elastic joint (design factors) are constructed by using CCD(Central Composite Design) and the multi-objective optimization is also performed by applying min-max and distance minimization techniques of relative target deviation.

• Journal of the Korean Society of Propulsion Engineers
• /
• v.18 no.4
• /
• pp.67-73
• /
• 2014

The dry sliding wear behavior of graphite that is used as the sealing material to cut off hot gas was evaluated as a function of applied load, sliding speed and temperature. The reciprocating wear tests were carried out at room temperature and elevated temperatures. An attempt has been made to develop a mathematical model by response surface methodology and an analysis of variance technique was applied to confirm the validity of the developed model. Also, the wear mechanism was compared through the observation of the worn surface by SEM analysis.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.34 no.9
• /
• pp.1305-1310
• /
• 2010

In a practical design process, the method of extracting the design space information of the complex system for verifying, improving, and optimizing the design process by taking into account the design variables and their shape tolerance is very important. Finite element analysis has been successfully implemented and integrated with design of experiment such as D-Optimal array; thus, a response surface model and optimization tools have been obtained, and design variables can be optimized by using the model and these tools. Then, to guarantee the robustness of the design variables, a robust design should be additionally performed by taking into account the statistical variation of the shape tolerance of the optimized design variables. In this study, a new approach based on the use of the response surface model is proposed; in this approach, the standard normal distribution of the shape tolerance is considered. By adopting this approach, it is possible to simultaneously optimize variables and perform a robust design. This approach can serve as a means of efficiently modeling the trade-off among many conflicting goals in the applications of finite element analysis. A case study on the robust optimal design of disc brakes under thermal loadings was carried out to solve multiple objective functions and determine the constraints of the design variables, such as a thermal deformation and weight.

• Current Research on Agriculture and Life Sciences
• /
• v.14
• /
• pp.101-110
• /
• 1996

Using response surface methodology(RSM), the various conditions(agitation speed, air flow, glucose concentration) in jar fermentor culture were investigated to find the optimum conditions for maximum enzyme production. Central-composite-design was used to control the variable constant in the experiment. The glucose isomerase production of Steptomyces chibaensis J-59 was mostly affected by the air flow rate and glucose concentration. The estimated optimum conditions were as follows: 1% birchwood xylan, 1.5% CSL, 0.1% $MgSO_4{\cdot}7H_2O$, 0.012% $CoCl_2{\cdot}6H_2O$, pH 7.0; air flow, 2.2vvm; agitation speed, 587rpm; glucose concentration, 0.586%. Experimental values(7.43GIU/ml) for the enzyme production obtained from the given optimum conditions had a almost resemblane to response values(7.67GIU/ml) predicted by the RSM. The jar fermentor culture by the RSM produced xylose isomerase about 2.7 times as much as the baffled flask culture.

• Journal of the Korean Wood Science and Technology
• /
• v.44 no.1
• /
• pp.85-95
• /
• 2016

In this study, furfural, which is one of the value-added chemicals, was produced from the hydrolyzate of Quercus mongolica using dilute acid pretreatment, and the optimal pretreatment condition was determined by Response Surface Methodology (RSM) to obtain high yield of furfural. Based on Central Composite Design, the pretreatment experiment was designed with parameters such as reaction temperature ($X_1$), acid concentration ($X_2$), and reaction time ($X_3$) as independent variables, while dependent variable was furfural concentration (Y), and furfural yield (Z) was shown as percentage of Y per a dry weight basis. According to results of RSM, it was confirmed that reaction temperature ($X_1$) was the most influence factor and reaction temperature ($X_1$)-acid concentration ($X_2$) was the most significant interaction factor on furfural yield. Also, the optimal condition for the highest furfural yield was predicted at reaction temperature of $184^{\circ}C$, acid concentration of 1.17%, and reaction time of 5 min by RSM, and expected maximum yield of furfural was 6.37%. Experimentally, the maximum yield of furfural produced at above optimal condition was 6.21%, and it was considerably similar with the predicted value, and therefore the model for furfural production from the hydrolyzate of Quercus mongolica during dilute acid pretreatment could be built using RSM.

• KSBB Journal
• /
• v.17 no.2
• /
• pp.195-202
• /
• 2002

The production conditions of cellulolytic enzymes by a fungus, strain FJ1, were optimized using response surface analysis. The culture factors which largely affected the production of enzymes such as cultivation time, carbon source concentration, nitrogen source concentration, and composition ratio of carbon sources were employed. Optimizedconditions of the factors above corresponding to each cellulolytic enzyme production were as fellowing: CMCase production was obtained in the conditions of cultivation time of 5.4 days, carbon source concentration of 3.5%, nitrogen source concentration of 0.6%, and composition ratio of carbon sources of 52:48 (avicel:CMC), xylanase appeared in the conditions of 5.3 days, 3.5%, 0.8%, and 54:46, respectively, and $\beta$-glucosidase were 7.0 days, 5.0%, 1.0%, and 83:17, respectively, and avicelase were 6.5 days, 4.0%, 0.9%, and 64:36, respectively. The activities of CMCase, xylanase, p-glucosidase, and avicelase predicted by the response surface methodology were 33.5, 52.6, 2.88, and 1.84 U/mL, respectively, and $\beta$-glucosidase activity was enhanced up to 74% when compared to that obtained in the experimental conditions.

• 한국생물공학회:학술대회논문집
• /
• 2002.04a
• /
• pp.453-456
• /
• 2002

The production conditions of cellulolytic enzymes by Trichoderma sp. FJ1, were optimized using response surface analysis. The culture factors which largely affected to the production of enzymes such as cultivation time, carbon source concentration, nitrogen source concentration, and composition ratio of carbon sources were employed. Optimized conditions of the factors above to each cellulolytic enzyme production was as follow: CMCase production was obtained in the conditions of cultivation time of 5.4 days, 3.5% of carbon source concentration, 0.6% of nitrogen source concentration, and 52:48 (avicel:CMC) of composition ratio of carbon sources, respectively, xylanase appeared in the conditions of 5.3 day, 3.5%, 0.8%, and 54:46, respectively, and ${\beta}-glucosidase$ were 7.0 day, 5.0%, 1.0%, and 83:17, respectively, and avicelase were 6.5 day, 4.0%, 0.9%, and 64:36, respectively. The activities of CMCase, xylanase, ${\beta}-glucosidase$, and avicelase predicted by the response surface methodology were 33.5, 52.6, 2.88, and 1.84 U/ml, respectively, and ${\beta}-glucosidase$ was enhanced up to 74% compared to that obtained in the experimental conditions.