Ultrasonic vibration-assisted pelleting of wheat straw: A predictive model for energy consumption using response surface methodology

被引:25
|
作者
Song, Xiaoxu [1 ]
Zhang, Meng [1 ]
Pei, Z. J. [1 ]
Wang, Donghai [2 ]
机构
[1] Kansas State Univ, Dept Ind & Mfg Syst Engn, Manhattan, KS 66506 USA
[2] Dept Biol & Agr Engn, Manhattan, KS 66506 USA
基金
美国国家科学基金会;
关键词
Cellulosic biomass; Energy consumption; Response surface methodology; Ultrasonic vibration-assisted (UV-A) pelleting; OPTIMIZATION;
D O I
10.1016/j.ultras.2013.06.013
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Cellulosic biomass can be used as a feedstock for biofuel manufacturing. Pelleting of cellulosic biomass can increase its bulk density and thus improve its storability and reduce the feedstock transportation costs. Ultrasonic vibration-assisted (UV-A) pelleting can produce biomass pellets whose density is comparable to that processed by traditional pelleting methods (e. g. extruding, briquetting, and rolling). This study applied response surface methodology to the development of a predictive model for the energy consumption in UV-A pelleting of wheat straw. Effects of pelleting pressure, ultrasonic power, sieve size, and pellet weight were investigated. This study also optimized the process parameters to minimize the energy consumption in UV-A pelleting using response surface methodology. Optimal conditions to minimize the energy consumption were the following: ultrasonic power at 20%, sieve size at 4 mm, and pellet weight at 1 g, and the minimum energy consumption was 2.54 Wh. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:305 / 311
页数:7
相关论文
共 50 条
  • [31] Surface roughness model of ultrasonic vibration-assisted grinding GCr15SiMn bearing steel and surface topography evaluation
    Lei, Xiao-Fei
    Ding, Wen-Feng
    Zhao, Biao
    Xiang, Dao-Hui
    Liu, Zi-Ang
    Qian, Chuan
    Liu, Qi
    Xu, Dong-Dong
    Zhao, Yan-Jun
    Zhu, Jian-Hui
    ADVANCES IN MANUFACTURING, 2025, 13 (01) : 88 - 104
  • [32] Parametric optimization of kraft pulping of wheat straw for extraction of lignin using response surface methodology
    Dash, Subhrajeet
    Bhavanam, Anjireddy
    Gera, Poonam
    BIOMASS CONVERSION AND BIOREFINERY, 2024, 14 (15) : 18165 - 18182
  • [33] Optimization of Enzymatic Hydrolysis of Wheat Straw Pretreated by Alkaline Peroxide Using Response Surface Methodology
    Qi, Benkun
    Chen, Xiangrong
    Shen, Fei
    Su, Yi
    Wan, Yinhua
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2009, 48 (15) : 7346 - 7353
  • [34] Optimization of Pretreatment and Alkaline Cooking of Wheat Straw on its Pulpability Using Response Surface Methodology
    Li, Jinpeng
    Wang, Bin
    Chen, Kefu
    Tian, Xiaojun
    Zeng, Jinsong
    Xu, Jun
    Gao, Wenhua
    BIORESOURCES, 2018, 13 (01): : 27 - 42
  • [35] Optimization of binder addition and compression load for pelletization of wheat straw using response surface methodology
    Lu Donghui
    Tabil, Lope G.
    Wang Decheng
    Wang Guanghui
    Wang Zhiqin
    INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING, 2014, 7 (06) : 67 - 78
  • [36] Fabrication of a TiC-Ti Matrix Composite Coating Using Ultrasonic Vibration-Assisted Laser Directed Energy Deposition: The Effects of Ultrasonic Vibration and TiC Content
    Li, Yunze
    Zhang, Dongzhe
    Wang, Hui
    Cong, Weilong
    METALS, 2021, 11 (05)
  • [37] Optimisation of Pueraria isoflavonoids by response surface methodology using ultrasonic-assisted extraction
    Wong, Ka H.
    Li, George Q.
    Li, Kong M.
    Razmovski-Naumovski, Valentina
    Chan, Kelvin
    FOOD CHEMISTRY, 2017, 231 : 231 - 237
  • [38] Ultrasonic-Assisted Extraction of Rice Bran Protein Using Response Surface Methodology
    Phongthai, Suphat
    Lim, Seung-Taik
    Rawdkuen, Saroat
    JOURNAL OF FOOD BIOCHEMISTRY, 2017, 41 (02)
  • [39] Combination of Ultrasound with Ammonification Pretreatment for the Fiber Composition of Corn Straw: a Predictive Model by Response Surface Methodology
    Wei, Xiaoli
    Wang, Runtao
    Qu, Tengyu
    Li, Gen
    2018 3RD INTERNATIONAL CONFERENCE ON COMMUNICATION, IMAGE AND SIGNAL PROCESSING, 2019, 1169
  • [40] Modeling and multi-objective optimization of low-frequency vibration-assisted chemical machining using central composite design in response surface methodology
    Rahmani, J.
    Mohammadi, M. M.
    Khamedi, R.
    SCIENTIA IRANICA, 2024, 31 (13) : 980 - 992