Parameter optimization of stirring screw for two-component composite coatings based on discrete element method

doi:10.3785/j.issn.1006-754X.2022.00.072

Chin J Eng Design

2022, Vol. 29

Issue (5): 547-554 DOI: 10.3785/j.issn.1006-754X.2022.00.072

Optimization Design

Parameter optimization of stirring screw for two-component composite coatings based on discrete element method

Wen-hao ZHANG(

),Chuan-wen BAN,Song-mei LI(

)

College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China

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Abstract

In order to improve the mixing uniformity of two-component composite coatings, the parameters of stirring screw were optimized. Taking the mixed pin type stirring screw as the object, its three-dimensional model was established and imported into the EDEM software. Then, based on the discrete element method, the stirring process of two-component composite coatings in the stirring screw was simulated and analyzed, in order to study the effects of rotation speed, pitch and aspect ratio of screw on the mixing uniformity. Finally, the uniaxial compression experiment was conducted to compare and verify the stirring effect after optimization of screw parameters.The results showed that the mixing uniformity of composite coatings was affected by the rotation speed, pitch and aspect ratio of screw through changing the particle dispersion, screw blade gap and screw length, respectively; after stable discharge, when the screw rotation speed was 200 r/min, the pitch was 80 mm, and the aspect ratio was 5.57∶1, the stirring effect was the best; the experiment verified that the mechanical properties of the composite coatings when stirred by the optimized stirring screw were better than those when stirred by hand. The research results can provide a theoretical basis for the structural design and parameter optimization of the automatic stirring screw.

Key words： two-component composite coatings stirring screw discrete element method optimization of stirring parameters

Received: 14 February 2022 Published: 02 November 2022

CLC:

TH 224

Corresponding Authors: Song-mei LI E-mail: 1401452571@qq.com;Lisongmei1126@163.com

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Cite this article:

Wen-hao ZHANG,Chuan-wen BAN,Song-mei LI. Parameter optimization of stirring screw for two-component composite coatings based on discrete element method. Chin J Eng Design, 2022, 29(5): 547-554.

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https://www.zjujournals.com/gcsjxb/10.3785/j.issn.1006-754X.2022.00.072 OR https://www.zjujournals.com/gcsjxb/Y2022/V29/I5/547

基于离散元法的双组份复合涂料搅拌螺杆参数优化

为了提高双组份复合涂料的混合均匀度，对搅拌螺杆的参数进行优化。以混合销钉式搅拌螺杆为对象，建立其三维模型后导入EDEM软件，然后基于离散元法对双组份复合涂料在该搅拌螺杆中的搅拌过程进行仿真分析，研究了螺杆的转速、螺距和长径比对混合均匀度的影响。最后通过单轴压缩实验对螺杆参数优化后的搅拌效果进行了对比验证。结果表明：螺杆转速、螺距和长径比分别通过改变颗粒抛撒程度、螺旋叶片间隙和螺杆长度来影响复合涂料的混合均匀度；稳定出料后，螺杆转速为200 r/min、螺距为80 mm、长径比为5.57∶1时的搅拌效果最佳；实验验证了利用优化后搅拌螺杆搅拌时复合涂料的力学性能优于手工搅拌时的。研究结果可为自动化搅拌螺杆的结构设计和参数优化提供理论依据。

关键词： 双组份复合涂料, 搅拌螺杆, 离散元法, 搅拌参数优化

Fig.1 Three-dimensional model of mixed pin type stirring screw

Table 1 Material intrinsic parameters of screw and composite coating particles

Table 2 Contact parameters of screw and composite coating particles

Fig.2 Mixing state of two component particles at different screw rotation speeds

Fig. 3 Volume distribution of component A at different screw rotation speeds

Fig.4 Variation curve of total number of two component particles with time at different screw rotation speeds

Fig.5 Variation curve of particle dispersion coefficient of component A with time at different screw rotation speeds

Fig.6 Mixing state of two component particles under different screw pitches

Fig. 7 Volume distribution of component A under different screw pitches

Fig.8 Variation curve of total number of two component particles with time under different screw pitches

Fig.9 Variation curve of particle dispersion coefficient of component A with time under different screw pitches

Fig.10 Mixing state of two component particles under different screw aspect ratios

Fig.11 Volume distribution of component A under different screw aspect ratios

Fig.12 Variation curve of total number of two component particles with time under different screw aspect ratios

Fig.13 Variation curve of particle dispersion coefficient of component A with time under different screw aspect ratios

Fig.14 Composite coating specimen for uniaxial compression test

Fig.15 Variation curve of average stress of composite coating specimen with different stirring methods


[1]	张凯杰，许蔷，王滔.基于三维离散法翻转混合设备颗粒的运动行为模拟研究［J］.食品与机械，2018，34（2）：88-92. ZHANG Kai-jie， XU Qiang， WANG Tao. Particle mixed behavior research based on DEM［J］. Food & Machinery， 2018， 34（2）： 88-92.

[2]	廖泽楚，高伟，刘磊，等.螺带式混凝土搅拌机混合特性及DEM模拟［J］.过程工程学报，2019，19（4）：668-675. doi：10.12034/j.issn.1009-606X.218307 LIAO Ze-chu， GAO Wei， LIU Lei， et al. Mixing efficiency of a concrete ribbon mixer and DEM simulation［J］. The Chinese Journal of Process Engineering， 2019， 19（4）： 668-675. doi: 10.12034/j.issn.1009-606X.218307

[3]	庾正伟，刘海，郭振，等.形状和密度差异大的两组元颗粒混合工艺研究［J］.粉末冶金工业，2017，27（1）：12-15. doi：10.13228/j.boyuan.issn1006-6543.20160099 YU Zheng-wei， LIU Hai， GUO Zhen， et al. Study on the mixing process of two-component particles with big variance in shapes and densities［J］. Powder Metallurgy Industry， 2017， 27（1）： 12-15. doi: 10.13228/j.boyuan.issn1006-6543.20160099

[4]	SIMONS T A H， BENSMANN S， ZIGAN S， et al. Characterization of granular mixing in a helical ribbon blade blender［J］. Powder Technology， 2016， 293： 15-25. doi：10.1016/j.powtec.2015.11.041 doi: 10.1016/j.powtec.2015.11.041

[5]	MEYSAM A， FARHAD E M， SIMANT R U. Analysis of the mixing of solid particles in a plowshare mixer via discrete element method （DEM）［J］. Powder Technology， 2015， 274： 77-87. doi：10.1016/j.powtec.2015.01.012 doi: 10.1016/j.powtec.2015.01.012

[6]	陈渊召，李振霞.基于离散元法的橡胶颗粒沥青混合料细观结构分析［J］.哈尔滨工业大学学报，2013，45（4）：116-121. doi：10.11918/j.issn.0367-6234.2013.04.021 CHEN Yuan-zhao， LI Zhen-xia. Meso-structure of crumb rubber asphalt mixture based on discrete element method［J］. Journal of Harbin Institute of Technology， 2013， 45（4）： 116-121. doi: 10.11918/j.issn.0367-6234.2013.04.021

[7]	兰海鹏，刘扬，贾富国，等.双轴桨叶式混合机内椭球颗粒混合特性模拟［J］.农机化研究，2017，39（6）：74-78. doi：10.3969/j.issn.1003-188X.2017.06.015 LAN Hai-peng， LIU Yang， JIA Fu-guo， et al. Simulation on mixing characteristic for ellipsoid particles in twin-shaft paddle mixer［J］. Journal of Agricultural Mechanization Research， 2017， 39（6）： 74-78. doi: 10.3969/j.issn.1003-188X.2017.06.015

[8]	LACEY P M C. Developments in the theory of particle mixing［J］. Russian Journal of Applied Chemistry， 1954， 4（5）： 257-268. doi：10.1002/jctb.5010040504 doi: 10.1002/jctb.5010040504

[9]	张立栋，李少华，余侃胜，等.油页岩与固体热载体在回转干馏炉内混合特性的冷态实验［J］.化工进展，2011，30（3）：492-497. ZHANG Li-dong， LI Shao-hua， YU Kan-sheng， et al. Cold experiments on mixing performance of oil shale particle and solid heat carrier in rotary retorting［J］. Chemical Industry and Engineering Progress， 2011， 30（3）： 492-497.

[10]	毛娅，范雄，江智.基于EDEM的连续性立式搅拌机混合特性研究［J］.计算机仿真，2018，35（12）：181-184. doi：10.3969/j.issn.1006-9348.2018.12.044 MAO Ya， FAN Xiong， JIANG Zhi. A study of the mixing characteristics in the continuous vertical blender based on EDEM［J］. Computer Simulation， 2018， 35（12）： 181-184. doi: 10.3969/j.issn.1006-9348.2018.12.044

[11]	李少华，朱明亮，张立栋，等.回转装置内三组元颗粒径向混合评价方法分析［J］.化工进展，2013，32（6）：1224-1229. LI Shao-hua， ZHU Ming-liang， ZHANG Li-dong， et al. Analysis of three-component radial mixing evaluation methods in rotary retorting［J］. Chemical Industry and Engineering Progress， 2013， 32（6）： 1224-1229.

[12]	SHACKELFORD J， ALEXANDER W. Materials science and engineering handbook［M］. 3rd ed. Boca Raton： CRC Press LLC， 2001： 1567-1608.

[13]	方昆凡.工程材料手册：黑色金属材料卷［M］.北京：北京出版社，2002：34-40. FANG Kun-fan. Engineering materials handbook： ferrous metal material roll［M］. Beijing： Beijing Publishing House， 2002： 34-40.

[14]	朱福民，万沈文.基于离散元法的沥青养护车搅拌筒立式叶片优化设计［J］.中国工程机械学报，2016，14（1）：54-61. doi：10.3969/j.issn.1672-5581.2016.01.011 ZHU Fu-min， WAN Shen-wen. Optimum design for the vertical blades of the mixing drum of the asphalt maintenance truck base on discrete element method［J］. Chinese Journal of Construction Machinery， 2016， 14（1）： 54-61. doi: 10.3969/j.issn.1672-5581.2016.01.011

[15]	JOHNSON K L， KENDALL K， ROBERTS A D. Surface energy and the contact of elastic solids［J］. Proceedings of the Royal Society of London. Series A， Mathematical and Physical Sciences， 1971， 324（1558）： 301-313. doi：10.1098/rspa.1971.0141 doi: 10.1098/rspa.1971.0141

[16]	中国建筑材料工业协会. 纤维增强塑料压缩性能试验方法：［S］.北京：中国标准出版社，2005：2-3. doi：10.3969/j.issn.1000-0836.2007.02.006 China Building Material Council. Fiber-reinforced plastics composites： determination of compressive properties：［S］. Beijing： Standards Press of China， 2005： 2-3. doi: 10.3969/j.issn.1000-0836.2007.02.006

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