Welcome to Journal of Beijing Institute of Technology
Advance Search
Volume 24Issue 2
.
Turn off MathJax
Article Contents
Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2015> 24(2): 254-259
HONG Dong-feng, SUI Shu-hui, WU Wen-hui. Numerical simulation of effects of operating conditions on the molecular weight of polypropylene using a response surface method[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2015, 24(2): 254-259. doi: 10.15918/j.jbit1004-0579.201524.0218
Citation: HONG Dong-feng, SUI Shu-hui, WU Wen-hui. Numerical simulation of effects of operating conditions on the molecular weight of polypropylene using a response surface method[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2015, 24(2): 254-259.doi:10.15918/j.jbit1004-0579.201524.0218
shu

Numerical simulation of effects of operating conditions on the molecular weight of polypropylene using a response surface method

doi:10.15918/j.jbit1004-0579.201524.0218

  • School of Materials Science and Engineering, Beijing Institute of Technology, Beijing 100081, China

  • Received Date:2013-08-21
    Abstract
  • A L 463 5Box-Behnken design was used for developing a model to predict and optimize the molecular weight ( M w) of polypropylene (PP); a second-order polynomial regression equation was derived to predict responses. The significance of variables and their interactions were tested by means of the ANOVA with 95% confidence limits; the standardized effects were investigated by Pareto chart, the optimum values of the selected variables were obtained by analyzing the response surface contour plots. The optimized M wvalue of 1.217×10 5g/mol was very close to the industrial value ((1.22±0.004)×10 5g/mol) at the optimum values.
    • FullText(HTML)
  • loading
    • References (13)
  • [1]
    Ali M A H, Stroomer J, Betlem B, et al. Molecular weight distribution broadening of polypropylene by periodic switching of hydrogen and catalyst additions[J]. Journal of Applied Polymer Science, 2008, 108(4): 2446-2457.
    [2]
    Touloupides V, Kanellopoulos V, Pladis P, et al. Modeling and simulation of an industrial slurry-phase catalytic olefin polymerization reactor series[J]. Chemical Engineering Science, 2010, 65(10): 3208-3222.
    [3]
    Box G E P, Wilson K B. On the experimental attainment of optimum conditions[J]. Journal of the Royal Statistical Society. Series B (Methodological), 1951, 13(1): 1-45.
    [4]
    Mason R L, Gunst R F, Hess J L. Statistical design and analysis of experiments[M]. Hoboken: John Wiley & Sons Inc, 2003.
    [5]
    Gunaraj V, Murugan N. Application of response surface methodology for predicting weld bead quality in submerged arc welding of pipes[J]. Journal of Materials Processing Technology, 1999, 88(1-3): 266-275.
    [6]
    Leardi R. Experimental design in chemistry: A tutorial[J]. Analytica Chimica Acta, 2009, 652(1-2): 161-172.
    [7]
    Negi L M, Jaggi M, Talegaonkar S. A logical approach to optimize the nanostructured lipid carrier system of irinotecan: efficient hybrid design methodology[J]. Nanotechnology, 2013, 24(1): 015104.
    [8]
    Can M Y, Kaya Y, Algur O F. Response surface optimization of the removal of nickel from aqueous solution by cone biomass of Pinus sylvestris[J]. Bioresource Technology, 2006, 97(14): 1761-1765.
    [9]
    Singh K P, Rai P, Pandey P, et al. Modeling and optimization of trihalomethanes formation potential of surface water (a drinking water source) using Box-Behnken design[J]. Environmental Science and Pollution Research, 2012, 19(1): 113-127.
    [10]
    Sadeghifar H, Sadeghifar A. A new method to calculate efficiency of randomly-packed distillation columns and its comparison with the methods utilized in ASPEN Plus[J]. Fuel Processing Technology, 2012, 96: 65-73.
    [11]
    Yi Qun, Feng Jie, Li Wenying. Optimization and efficiency analysis of polygeneration system with coke-oven gas and coal gasified gas by Aspen Plus[J]. Fuel, 2012, 96(1): 131-140.
    [12]
    Imandi S B, Bandaru V R, Somalanka S R,et al. Optimization of medium constituents for the production of citric acid from byproduct glycerol using Doehlert experimental design[J]. Enzyme and Microbial Technology, 2007, 40(5): 1367-1372.
    [13]
    Liu Hsuanliang, Lan Yannwen, Cheng Yangchu. Optimal production of sulphuric acid by thiobacillus thiooxidans using response surface methodology[J]. Process Biochemistry, 2004, 39(12): 1953-1961.
    • Relative Articles
  • Supplements (0)
  • Cited By
  • 加载中

Catalog

    通讯作者:陈斌, bchen63@163.com
    • 1.

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (617) PDF downloads(749) Cited by()
    Proportional views
    Related

    Address:5 Zhongguancun South Street, Haidian District, Beijing

    Tel:86-10-68914374

    Email:blgywb@bit.edu.cn

    Copy Right © Journal of Beijing Institute of Technology

    Supported by:Beijing Renhe Information Technology Co. Ltd

    /

      Return
      Return
        Baidu
        map