• Title/Summary/Keyword: rsm method

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Increased Alkaline Protease Production from Bacillus clausii I-52 by Experimental Design Methods (통계학적 방법을 이용한 Bacillus clausii I-52로부터 염기성 단백질 분해효소 생산 증진)

  • Lee Jae-woo;Kim Hyun-soo;Chang Chung-soon;Kim Eun-ki
    • KSBB Journal
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    • v.20 no.3
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    • pp.215-219
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    • 2005
  • Production of alkaline pretense by Bacillus clausii I-52 was optimized by experimental design methods. Among 7 medium components, three (wheat flour, sodium citrate, sodium carbonate) were selected as components affecting the pretense activity significantly by Plackett-Burman methods. Furthermore the ranges of effective concentrations were determined by Box-Behnken methods. The objective function describing the alkaline pretense production was obtained and optimum concentration of 3 components was determined by using response-surface methods (RSM). Theoretical maximum production was 74000 U/mL (Wheat flour: 0 g/L, Sodium citrate: 5 g/L, Sodium carbonate: 10 g/L). With the optimized medium composition, 92000 U/mL alkaline protease was produced experimentally, resulting in $90\%$ increase compared to before-optimization production (49000 U/mL).

Processing Optimization and Antioxidant Activity of Chiffon Cake Prepared with Tomato Powder (토마토 분말 첨가 시폰 케이크의 제조조건 최적화 및 품질 특성)

  • Paik, Jaeeun;Kim, Soojeong;An, Hyunae;Joo, Nami
    • Journal of the Korean Dietetic Association
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    • v.19 no.1
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    • pp.1-13
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    • 2013
  • The purpose of this study was to determine the optimal mixing condition of tomato powder and sugar for producing chiffon cake. The experiment was designed according to the central composite design of response surface, which yielded ten experimental points, including two replicates. Physiochemical and sensory properties were measured, and theses values applied to mechanical models. A canonical form and perturbation plot showed the influence of each ingredient on the final product mixture. The results of the physiochemical analysis of each sample showed significant differences in sweetness (P<0.01), color L (P<0.001), color a (P<0.001), color b (P<0.05), hardness (P<0.05), and cohesiveness (P<0.01). The sensory measurements were significantly different in color (P<0.05), appearance (P<0.05), flavor (P<0.05), sweetness (P<0.01), moistness (P<0.05), and overall acceptability (P<0.05). The optimal formulation, calculated using the numerical and graphical method, was determined to be 59.27 g tomato powder and 285.66 g sugar. The sensory evaluation showed significantly higher preferences in the color, flavor, appearance, texture, sweetness, tenderness, moistness and overall quality of the optimized chiffon cake compared to the controlled chiffon cake. The optimized chiffon cake also showed a high antioxidative activity compared to the controlled chiffon cake. Our results show that chiffon cake prepared with tomato powder enhances sensory characteristics and antioxidative activity.

Wake Comparison between Model and Full Scale Ships Using CFD (CFD를 이용한 모형선과 실선 스케일의 반류 비교)

  • Yang, Hae-Uk;Kim, Byoung-Nam;Yoo, Jae-Hoon;Kim, Wu-Joan
    • Journal of the Society of Naval Architects of Korea
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    • v.47 no.2
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    • pp.150-162
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    • 2010
  • Assessment of hydrodynamic performance of a ship hull has been focused on a model ship rather than a full-scale ship. In order to design the propeller of a ship, model-scale wake is often extended to full-scale based upon an empirical method or designer's experience, since wake measurement data for a full-scale ship is very rare. Recently modern CFD tools made some success in reproducing wake field of a model ship, which implicates that there are some possibilities of the accurate prediction of full-scale wakes. In this paper firstly the evaluation of model-scale wake obtained by Fluent package was performed. It was found that CFD calculation with the Reynolds-stress model (RSM) provided much better agreement with wake measurement in the towing tank than with the realizable k-$\varepsilon$ model (RKE). In the next full-scale wake was calculated using the same package to find out the difference between model and full-scale wakes. Three hull forms of KLNG, KCS, KVLCC2 having measurement data open for the public, were chosen for the comparison of resistance, form factor, and propeller plane wake between model ships and full-scale ships.

Enhanced Carboxymethylcellulase Production by a Newly Isolated Marine Bacterium, Cellulophaga lytica LBH-14, Using Rice Bran

  • Gao, Wa;Lee, Eun-Jung;Lee, Sang-Un;Li, Jianhong;Chung, Chung-Han;Lee, Jin-Woo
    • Journal of Microbiology and Biotechnology
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    • v.22 no.10
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    • pp.1412-1422
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    • 2012
  • The aim of this work was to establish the optimal conditions for production of carboxymethylcellulase (CMCase) by a newly isolated marine bacterium using response surface methodology (RSM). A microorganism producing CMCase, isolated from seawater, was identified as Cellulophaga lytica based 16S rDNA sequencing and the neighborjoining method. The optimal conditions of rice bran, ammonium chloride, and initial pH of the medium for cell growth were 100.0 g/l, 5.00 g/l, and 7.0, respectively, whereas those for production of CMCase were 79.9 g/l, 8.52 g/l, and 6.1. The optimal concentrations of $K_2HPO_4$, NaCl, $MgSO_4{\cdot}7H_2O$, and $(NH_4)_2SO_4$ for cell growth were 6.25, 0.62, 0.28, and 0.42 g/l, respectively, whereas those for production of CMCase were 3.72, 0.54, 0.70, and 0.34 g/l. The optimal temperature for cell growth and the CMCase production by C. lytica LBH-14 were $35^{\circ}C$ and $25^{\circ}C$, respectively. The maximal production of CMCase under optimized condition for 3 days was 110.8 U/ml, which was 5.3 times higher than that before optimization. In this study, rice bran and ammonium chloride were developed as carbon and nitrogen sources for the production of CMCase by C. lytica LBH-14. The time for production of CMCase by a newly isolated marine bacterium with submerged fermentations reduced to 3 days, which resulted in enhanced productivity of CMCase and a decrease in its production cost.

Emission Characteristics of Gasoline/ethanol Mixed Fuels for Vehicle Fire Safety Design (차량화재 안전설계를 위한 휘발유/에탄올 혼합연료의 연소생성물 배출 특성)

  • Kim, Shin Woo;Lee, Eui Ju
    • Journal of the Korean Society of Safety
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    • v.34 no.1
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    • pp.27-33
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    • 2019
  • Combustion characteristics of gasoline/ethanol fuel were investigated both numerically and experimentally for vehicle fire safety. The numerical simulation was performed on the well-stirred reactor (WSR) to simulate the homogeneous gasoline engine and to clarify the effect of ethanol addition in the gasoline fuel. The simulating cases with three independent variables, i.e. ethanol mole fraction, equivalence ratio and residence time, were designed to predict and optimized systematically based on the response surface method (RSM). The results of stoichiometric gasoline surrogate show that the auto-ignition temperature increases but NOx yields decrease with increasing ethanol mole fraction. This implies that the bioethanol added gasoline is an eco-friendly fuel on engine running condition. However, unburned hydrocarbon is increased dramatically with increasing ethanol content, which results from the incomplete combustion and hence need to adjust combustion itself rather than an after-treatment system. For more tangible understanding of gasoline/ethanol fuel on pollutant emissions, experimental measurements of combustion products were performed in gasoline/ethanol pool fires in the cup burner. The results show that soot yield by gravimetric sampling was decreased dramatically as ethanol was added, but NOx emission was almost comparable regardless of ethanol mole fraction. For soot morphology by TEM sampling, the incipient soot such as a liquid like PAHs was observed clearly on the soot of higher ethanol containing gasoline, and the soot might be matured under the undiluted gasoline fuel.

Damage index based seismic risk generalization for concrete gravity dams considering FFDI

  • Nahar, Tahmina T.;Rahman, Md M.;Kim, Dookie
    • Structural Engineering and Mechanics
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    • v.78 no.1
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    • pp.53-66
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    • 2021
  • The determination of the damage index to reveal the performance level of a structure can constitute the seismic risk generalization approach based on the parametric analysis. This study implemented this concept to one kind of civil engineering structure that is the concrete gravity dam. Different cases of the structure exhibit their individual responses, which constitute different considerations. Therefore, this approach allows the parametric study of concrete as well as soil for evaluating the seismic nature in the generalized case. To ensure that the target algorithm applicable to most of the concrete gravity dams, a very simple procedure has been considered. In order to develop a correlated algorithm (by response surface methodology; RSM) between the ground motion and the structural property, randomized sampling was adopted through a stochastic method called half-fractional central composite design. The responses in the case of fluid-foundation-dam interaction (FFDI) make it more reliable by introducing the foundation as being bounded by infinite elements. To evaluate the seismic generalization of FFDI models, incremental dynamic analysis (IDA) was carried out under the impacts of various earthquake records, which have been selected from the Pacific Earthquake Engineering Research Center data. Here, the displacement-based damage indexed fragility curves have been generated to show the variation in the seismic pattern of the dam. The responses to the sensitivity analysis of the various parameters presented here are the most effective controlling factors for the concrete gravity dam. Finally, to establish the accuracy of the proposed approach, reliable verification was adopted in this study.

Experimental design approach for ultra-fast nickel removal by novel bio-nanocomposite material

  • Ince, Olcay K.;Aydogdu, Burcu;Alp, Hevidar;Ince, Muharrem
    • Advances in nano research
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    • v.10 no.1
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    • pp.77-90
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    • 2021
  • In the present study, novel chitosan coated magnetic magnetite (Fe3O4) nanoparticles were successfully biosynthesized from mushroom, Agaricus campestris, extract. The obtained bio-nanocomposite material was used to investigate ultra-fast and highly efficient for removal of Ni2+ ions in a fixed-bed column. Chitosan was treated as polyelectrolyte complex with Fe3O4 nanoparticles and a Fungal Bio-Nanocomposite Material (FBNM) was derived. The FBNM was characterized by using X-Ray Diffractometer (XRD), Scanning Electron Microscopy-Energy Dispersive X-Ray Spectroscopy (SEM-EDS), Fourier Transform Infrared spectra (FTIR) and Thermogravimetric Analysis (TGA) techniques and under varied experimental conditions. The influence of some important operating conditions including pH, flow rate and initial Ni2+ concentration on the uptake of Ni2+ solution was also optimized using a synthetic water sample. A Central Composite Design (CCD) combined with Response Surface Modeling (RSM) was carried out to maximize Ni2+ removal using FBNM for adsorption process. A regression model was derived using CCD to predict the responses and analysis of variance (ANOVA) and lack of fit test was used to check model adequacy. It was observed that the quadratic model, which was controlled and proposed, was originated from experimental design data. The FBNM maximum adsorption capacity was determined as 59.8 mg g-1. Finally, developed method was applied to soft drinks to determine Ni2+ levels. Reusability of FBNM was tested, and the adsorption and desorption capacities were not affected after eight cycles. The paper suggests that the FBNM is a promising recyclable nanoadsorbent for the removal of Ni2+ from various soft drinks.

Enhanced Production of C30 Carotenoid 4,4'-Diaponeurosporene by Optimizing Culture Conditions of Lactiplantibacillus plantarum subsp. plantarum KCCP11226T

  • Siziya, Inonge Noni;Yoon, Deok Jun;Kim, Mibang;Seo, Myung-Ji
    • Journal of Microbiology and Biotechnology
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    • v.32 no.7
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    • pp.892-901
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    • 2022
  • The rising demand for carotenoids can be met by microbial biosynthesis as a promising alternative to chemical synthesis and plant extraction. Several species of lactic acid bacteria (LAB) specifically produce C30 carotenoids and offer the added probiotic benefit of improved gut health and protection against chronic conditions. In this study, the recently characterized Lactiplantibacillus plantarum subsp. plantarum KCCP11226T produced the rare C30 carotenoid, 4,4'-diaponeurosporene, and its yield was optimized for industrial production. The one-factor-at-a-time (OFAT) method was used to screen carbon and nitrogen sources, while the abiotic stresses of temperature, pH, and salinity, were evaluated for their effects on 4,4'-diaponeurosporene production. Lactose and beef extract were ideal for optimal carotenoid production at 25℃ incubation in pH 7.0 medium with no salt. The main factors influencing 4,4'-diaponeurosporene yields, namely lactose level, beef extract concentration and initial pH, were enhanced using the Box-Behnken design under response surface methodology (RSM). Compared to commercial MRS medium, there was a 3.3-fold increase in carotenoid production in the optimized conditions of 15% lactose, 8.3% beef extract and initial pH of 6.9, producing a 4,4'-diaponeurosporene concentration of 0.033 A470/ml. To substantiate upscaling for industrial application, the optimal aeration rate in a 5 L fermentor was 0.3 vvm. This resulted in a further 3.8-fold increase in 4,4'-diaponeurosporene production, with a concentration of 0.042 A470/ml, compared to the flask-scale cultivation in commercial MRS medium. The present work confirms the optimization and scale-up feasibility of enhanced 4,4'-diaponeurosporene production by L. plantarum subsp. plantarum KCCP11226T.

Machinability investigation of gray cast iron in turning with ceramics and CBN tools: Modeling and optimization using desirability function approach

  • Boutheyna Gasmi;Boutheyna Gasmi;Septi Boucherit;Salim Chihaoui;Tarek Mabrouki
    • Structural Engineering and Mechanics
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    • v.86 no.1
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    • pp.119-137
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    • 2023
  • The purpose of this research is to assess the performance of CBN and ceramic tools during the dry turning of gray cast iron EN GJL-350. During the turning operation, the variable machining parameters are cutting speed, feed rate, depth of cut and type of the cutting material. This contribution consists of two sections, the first one deals with the performance evaluation of four materials in terms of evolution of flank wear, surface roughness (2D and 3D) and cutting forces. The focus of the second section is on statistical analysis, followed by modeling and optimization. The experiments are conducted according to the Taguchi design L32 and based on ANOVA approach to quantify the impact of input factors on the output parameters, namely, the surface roughness (Ra), the cutting force (Fz), the cutting power (Pc), specific cutting energy (Ecs). The RSM method was used to create prediction models of several technical factors (Ra, Fz, Pc, Ecs and MRR). Subsequently, the desirability function approach was used to achieve a multi-objective optimization that encompasses the output parameters simultaneously. The aim is to obtain optimal cutting regimes, following several cases of optimization often encountered in industry. The results found show that the CBN tool is the most efficient cutting material compared to the three ceramics. The optimal combination for the first case where the importance is the same for the different outputs is Vc=660 m/min, f=0.116 mm/rev, ap=0.232 mm and the material CBN. The optimization results have been verified by carrying out confirmation tests.

Design of a Wastewater Treatment Plant Upgrading to Advanced Nutrient Removal Treatment Using Modeling Methodology and Multivariate Statistical Analysis for Process Optimization (하수처리장의 고도처리 upgrading 설계와 공정 최적화를 위한 다변량 통계분석)

  • Kim, MinJeong;Kim, MinHan;Kim, YongSu;Yoo, ChangKyoo
    • Korean Chemical Engineering Research
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    • v.48 no.5
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    • pp.589-597
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    • 2010
  • Strengthening the regulation standard of biological nutrient in wastewater treatment plant(WWTP), the necessity of repair of WWTP which is operated in conventional activated sludge process to advanced nutrient removal treatment is increased. However, in full-scale wastewater treatment system, it is not easy to fine the optimized operational condition of the advanced nutrient removal treatment through experiment due to the complex response of various influent conditions and operational conditions. Therefore, in this study, an upgrading design of conventional activated sludge process to advanced nutrient removal process using the modeling and simulation method based on activated sludge model(ASMs) is executed. And a design optimization of advanced treatment process using the response surface method(RSM) is carried out for statistical and systematic approach. In addition, for the operational optimization of full-scale WWTP, a correct analysis about kinetic variables of wastewater treatment is necessary. In this study, through partial least square(PLS) analysis which is one of the multivariable statistical analysis methods, a correlation between the kinetic variables of wastewater treatment system is comprehended, and the most effective variables to the advanced treatment operation result is deducted. Through this study, the methodology for upgrading design and operational optimization of advanced treatment process is provided, and an efficient repair of WWTP to advanced treatment can be expected reducing the design time and costs.