• 제목/요약/키워드: optimization of production

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Automated Molding Design Methodology to Optimize Multiple defects in Injection Molded Parts

  • Park, Jong-Cheon;Kim, Byung H.
    • International Journal of Precision Engineering and Manufacturing
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    • 제1권1호
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    • pp.133-145
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    • 2000
  • Plastic molding designers are frequently faced with optimizing multiple defects in injection molded parts. these defects are usually in conflict with each other, and thus a tradeoff needs to be made reach a final compromised solution. In this study, an automated injection molding design methodology has been developed to optimize multiple defects of injection molded parts. Two features of the proposed methodology are as follows: one is to apply the utility theory to transform the original multiple objective optimization problem into single objective optimization problem with utility as objective function, the other is an implementation of a direct search-based injection molding optimization procedure with automated consideration of process variation. The modified complex method is used as a general optimization tool in this research. The developed methodology was applied to an actual molding design and the results showed that the methodology was useful through the CAE simulation using a commercial injection molding software package. Applied to production, this study will be of immense value to industry in reducing the product development time and enhancing the product quality.

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초고온 진공로 통합설계 최적화 소프트웨어 개발 (Development of Integrated Design and Optimization Software for the High Temperature Furnace Design)

  • 김우현;이재우;변영환
    • 시스템엔지니어링학술지
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    • 제1권1호
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    • pp.14-19
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    • 2005
  • High temperature vacuum furnaces or high standard electric furnaces demand high technology level and high production cost. Therefore, an iterative design process and the optimization approach under integrated computing environment are required to reduce the development risk. Moreover, it also required to develop an integrated design software that can manage the centralized database system between factory and design department, and the automated furnace design and analysis. The developed software is dedicated to the development of the vacuum (electric) furnaces. Based on the distribute middleware system, the GUI module, the CAD module, the thermal analysis module and the optimization module are integrated. For the DBMS, Microsoft Access is employed, the GUI is developed using Visual Basic language, and AutoCAD is utilized for the configuration design. By investigating the analysis code interface, the analysis and optimization process, and the data communication method, the overall system architecture, the method to integrate the optimizer and ana lysis codes, and the method to manage the data flow are proposed and verified through the optimal furnace design.

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Factorial design에 의한 Acetobacter xylinum KJ1의 Bacterial cellulose 생산조건의 최적화 (Optimization for the Bacterial Cellulose Production of Acetobacter xylinum KJ1 by Factorial Design)

  • 김성준;이지은;정상기;이용운
    • KSBB Journal
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    • 제17권3호
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    • pp.228-234
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    • 2002
  • Factorial design model을 이용하여 A. xylinum KJ1의 BC생산을 위한 최적 배양조건을 결정하였다. 요인 분석을 위한 실험 계획법으로는 부분요인 분석을 통한 factorial model을 이용하였으며, 주요 실험인자인 탄소원 농도, 교반속도(rpm), 산소분압, CSL의 농도의 네 가지 factor의 영향에 의한 BC생산량의 변화를 측정하였다. SAS 프로그램을 이용하여 전체 24개의 실험계획에서 각각의 factor의 조합에 의한 BC 생산성에 관한 결과 및 예측값을 비교한 결과 BC 생산량 면에서는 상관계수($R^2$)가 0.91으로 이었고, 수율면에서는 상관계수($R^2$)는 0.81이다. 최적 BC 생산을 위한 각 factor들이 탄소원의 농도 4%, 교반속도 460 rpm, 산소분압 0.28 atm, CSL 농도 6%일 때, 이때의 BC 생산량은 11.67 g/L로 예측되었다. 그리고 BC 생산 수율면에서 최적 배양조건이 탄소원 농도 4%, 교반속도 564 rpm, 산소분압 0.21 atm, CSL 농도 2%일 때 최적의 수율 0.42 g/g를 얻을 수 있을 것으로 예측되었다. 결정된 최적 조건에서의 실증 실험 결과 11.47 g/L의 BC 생산량을 얻을 수 있었으며, 이는 fermentor상에서의 기본실험에서 얻은 4.83 g/L보다 2.4배 이상 향상된 결과이다.

Overexpression of afsR and Optimization of Metal Chloride to Improve Lomofungin Production in Streptomyces lomondensis S015

  • Wang, Wei;Wang, Huasheng;Hu, Hongbo;Peng, Huasong;Zhang, Xuehong
    • Journal of Microbiology and Biotechnology
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    • 제25권5호
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    • pp.672-680
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    • 2015
  • As a global regulatory gene in Streptomyces, afsR can activate the biosynthesis of many secondary metabolites. The effect of afsR on the biosynthesis of a phenazine metabolite, lomofungin, was studied in Streptomyces lomondensis S015. There was a 2.5-fold increase of lomofungin production in the afsR-overexpressing strain of S. lomondensis S015 N1 compared with the wild-type strain. Meanwhile, the transcription levels of afsR and two important genes involved in the biosynthesis of lomofungin (i.e., phzC and phzE) were significantly upregulated in S. lomondensis S015 N1. The optimization of metal chlorides was investigated to further increase the production of lomofungin in the afsR-overexpressing strain. The addition of different metal chlorides to S. lomondensis S015 N1 cultivations showed that CaCl2, FeCl2, and MnCl2 led to an increase in lomofungin biosynthesis. The optimum concentrations of these metal chlorides were obtained using response surface methodology. CaCl2 (0.04 mM), FeCl2 (0.33 mM), and MnCl2 (0.38 mM) gave a maximum lomofungin production titer of 318.0 ± 10.7 mg/l, which was a 4.1-fold increase compared with that of S. lomondensis S015 N1 without the addition of a metal chloride. This work demonstrates that the biosynthesis of phenazine metabolites can be induced by afsR. The results also indicate that metal chlorides addition might be a simple and useful strategy for improving the production of other phenazine metabolites in Streptomyces.

고압처리와 단백질 분해효소를 이용한 연산오계 다리육 펩타이드 생산 최적화 및 특성 분석 (Optimization of Peptide Production from Leg Meat of Yeonsan Ogae by High Hydrostatic Pressure and Protein Hydrolytic Enzyme and Its Characteristic Analysis)

  • 하유진;김아연;유선균
    • 한국산학기술학회논문지
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    • 제17권7호
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    • pp.182-191
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    • 2016
  • 가금류 중에서 연산오계는 예로부터 다양한 효능 지닌 건강기능식품으로 알려져 있다. 최근 육질 단백질로부터 유래한 기능성 펩타이드에 대한 연구가 활발하게 진행 되어 본 연구는 오계 다리육으로부터 표면 반응 분석을 이용하여 최적 공정을 수행하였다. 상업용 단백질 가수분해 효소 bromelain 1200을 이용하여 오계 다리육 단백질로부터 펩타이드 분자량을 가지는 단백질 가수 분해물 최적 제조 공정 조건을 표면반응 분석법을 이용하여 수행을 하였다. 제조 공정 변수들은 범위는 압력(30-100 MPa), 반응시간(1-3시간), 반응 기질 양(10-30%) 이었다. 가수분해도 최적 조건은 압력은 높을수록 증가를 하였고, 반응 시간은 시간은 3시간, 기질의 농도는 20%에서 결정이 되었다. 이때 최대 가수분해도가 34.10%이였다. 단백질 가수분해물은 대부분 펩타이드의 분자량인 1,000이하의 분자량 분포를 보여 주었다. 펩타이드의 유리 아미노산들의 함량은 leucine, lysine, alanine, glutamic acid, phenylalanine 순으로 존재하였고, 구성아미노산을 제외한 아미노산에서는 taurine(4.9%), ornitine(1.8%), anserine(1.6%), hydroxylysine(1.4%) 등의 순으로 존재하였다.

Statistical Optimization of Medium Components for Milk-Clotting Enzyme Production by Bacillus amyloliquefaciens D4 Using Wheat Bran-an Agro-Industry Waste

  • Zhang, Weibing;He, Xiaoling;Liu, Hongna;Guo, Huiyuan;Ren, Fazheng;Gao, Weidong;Wen, Pengcheng
    • Journal of Microbiology and Biotechnology
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    • 제23권8호
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    • pp.1084-1091
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    • 2013
  • In this paper, two statistical methods were applied to optimize medium components to improve the production of the milk-clotting enzyme by Bacillus amyloliquefaciens D4. First, wheat bran juice, skim milk powder, and $Na_2HPO_4$ were shown to have significant effects on D4 enzyme production using the Plackett-Burman experimental design. Subsequently, an optimal medium was obtained using the Box-Behnken method, which consisted of 3.31 g/l of skim milk powder, 5.0 g/l of sucrose, 0.1 g/l of $FeSO_4{\cdot}7H_2O$, 0.1 g/l of $MgSO_4{\cdot}7H_2O$, 0.1 g/l of $MnSO_4{\cdot}2H_2O$, 0.1 g/l of $ZnSO_4{\cdot}7H_2O$, 1.52 g/l of $Na_2HPO_4$, and 172.45 g/l of wheat bran juice. With this optimal medium, the milk-clotting enzyme production was remarkably enhanced. The milk-clotting enzyme activity reached 3,326.7 SU/ml after incubation of 48 h, which was 1.76-fold higher than that of the basic medium, showing that the Plackett-Burman design and Box-Behnken response surface method are effective to optimize medium components, and B. amyloliquefaciens D4 possessed a high rennet-producing capacity in the optimal medium.

알칼리 내성 Bacillus sp.의 생물고분자 생산조건의 최적화 (Optimization of Biopolymer Production from Alkali-Tolerant Bacillus sp.)

  • 이신영;이범수;이근억
    • 한국식품과학회지
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    • 제23권2호
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    • pp.167-174
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    • 1991
  • 토양으로부터 생물고분자의 생산균주로 분리한 알칼리 내성 Bacillus sp.의 생물고분자 생산을 위한 최적 배양조건을 검토하였고, 반응 표면분석법에 의한 생산 최적화를 수행하였다. 최대의 생물고분자 생산은 soluble starch 8%, yeast extract 0.75%, $NaNO_3$ 0.1%, $MgSO_4\;7H_2O$ 0.05% 및 $Na_2CO_3$ 1%(pH 10)의 조성배지에서 배양온도 $30^{\circ}C$로 36시간 이상 진탕배양하였을 때 얻어졌으며, 이때의 생물고분자 생산량은 약 44g/l(대당수율로는 약 55%)이었다. C/N비, 온도 및 pH를 독립변수로 한 반응 표면분석에 의한 생물고분자 생산의 최적조건은 C/N비 15.16, 배양온도 $34.62^{\circ}C$ 및 pH 9.50의 정상점에서 얻어졌으며, 이 조건에서 생물고분자의 생산량은 66.84g/l로 추정 되었다.

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Effects of Sucrose, Phosphate, and Calcium Carbonate on the Production of Pikromycin from Streptomyces venezuelae

  • Yi, Jeong Sang;Kim, Minsuk;Kim, Sung-Jin;Kim, Byung-Gee
    • Journal of Microbiology and Biotechnology
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    • 제25권4호
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    • pp.496-502
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    • 2015
  • Polyketide secondary metabolites share common precursor pools, acyl-CoA. Thus, the effects of engineering strategies for heterologous and native secondary metabolite production are often determined by the measurement of pikromycin in Streptomyces venezuelae. It is hard to compare the effectiveness of engineering targets among published data owing to the different pikromycin production media used from one study to the other. To determine the most important nutritional factor and establish optimal culture conditions, medium optimization of pikromycin from Streptomyces venezuelae ATCC 15439 was studied with a statistical method, Plackett-Burman design. Nine variables (glucose, sucrose, peptone, (NH4)2SO4, K2HPO4, KH2PO4, NaCl, MgSO4·7H2O, and CaCO3) were analyzed for their effects on a response, pikromycin. Glucose, K2HPO4, and CaCO3 were determined to be the most significant factors. The path of the steepest ascent and response surface methodology about the three selected components were performed to study interactions among the three factors, and the fine-tune concentrations for maximized product yields. The significant variables and optimal concentrations were 139 g/1 sucrose, 5.29 g/l K2HPO4, and 0.081 g/l CaCO3, with the maximal pikromycin yield of 35.5 mg/l. Increases of the antibiotics production by 1.45-fold, 1.3-fold, and 1.98-fold, compared with unoptimized medium and two other pikromycin production media SCM and SGGP, respectively, were achieved.

Process optimization for biodiesel production from indigenous non-edible Prunus armeniaca oil

  • Singh, Deepak;Kumar, Veerendra;Sandhu, S.S.;Sarma, A.K.
    • Advances in Energy Research
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    • 제4권3호
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    • pp.189-202
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    • 2016
  • This work emphasized optimum production of biodiesel using non-edible Prunus armeniaca (Bitter Apricot) oil via transesterification collected from the high altitude areas of Himachal Pradesh, India. In this study the author produced biodiesel through the process of transesterification by using an alkali catalyst with alcohol (methanol and ethanol), under the varying molar ratio (1:6, 1:9, 1:12), variable catalyst percentage (1% and 2%) and temperature ($70^{\circ}C$, $75^{\circ}C$, $80^{\circ}C$, $85^{\circ}C$). Furthermore, a few strong base catalysts were used that includes sodium hydroxide, potassium hydroxide, sodium metal and freshly prepared sodium methoxide. After screening the catalyst, response surface methodology (RSM) in connection with the central composite design (CCD) was used to statistically evaluate and optimize the biodiesel production operation using NaOH as catalyst. It was found that the production of biodiesel achieved an optimum level biodiesel yield with 97.30% FAME conversion under the following reaction conditions: 1) Methanol/oil molar ratio: 1:6, 2) Reaction time: 3h, 3) Catalyst amount: NaOH 2 wt. %, and 4) Reaction temperature: $85^{\circ}C$. The experimental results showed that the optimum production and conversion of biodiesel through the process of transesterification could be achieved under an optimal set of reaction conditions. The biodiesel obtained showed appropriate fuel properties as specified in ASTM, BIS and En- standards.

Optimized Production of Poly(γ-Glutamic acid) By Bacillus sp. FBL-2 through Response Surface Methodology Using Central Composite Design

  • Min, Ju-Hee;Reddy, Lebaka Veeranjaneya;Charalampopoulos, Dimitris;Kim, Young-Min;Wee, Young-Jung
    • Journal of Microbiology and Biotechnology
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    • 제29권7호
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    • pp.1061-1070
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    • 2019
  • In the present study, the optimization of poly(${\gamma}$-glutamic acid) (${\gamma}$-PGA) production by Bacillus sp. FBL-2 was studied using a statistical approach. One-factor-at-a-time method was used to investigate the effect of carbon sources and nitrogen sources on ${\gamma}$-PGA production and was utilized to select the most significant nutrients affecting the yield of ${\gamma}$-PGA. After identifying effective nutrients, response surface methodology with central composite design (CCD) was used to obtain a mathematical model to identify the optimum concentrations of the key nutrients (sucrose, $\text\tiny{L}$-glutamic acid, yeast extract, and citric acid) for improvement of ${\gamma}$-PGA production. The optimum amount of significant medium components appeared to be sucrose 51.73 g/l, $\text\tiny{L}$-glutamic acid 105.30 g/l, yeast extract 13.25 g/l, and citric acid 10.04 g/l. The optimized medium was validated experimentally, and ${\gamma}$-PGA production increased significantly from 3.59 g/l (0.33 g/l/h) to 44.04 g/l (3.67 g/l/h) when strain FBL-2 was cultivated under the optimal medium developed by the statistical approach, as compared to non-optimized medium.