基于CFD-DPM的旋风分离器结构优化

doi:10.12096/j.2096-4528.pgt.20043

摘要/Abstract

摘要：

采用CFD-DPM方法，结合响应曲面模型对旋风分离器结构参数进行优化。研究发现：对压降和分离效率影响最大的结构参数为排气管直径D_x/D，其次是入口高度a/D、入口宽度b/D、旋风分离器长度H/D、排气管插入深度S/D。通过分析各结构参数的交互作用发现：入口宽度与入口高度，入口尺寸与排气管直径对压降的影响存在较强的交互作用；排气管直径与入口高度、排气管插入深度及旋风分离器长度对分离效率的影响存在较强的交互作用。最后，基于CFD-DPM模拟计算结果获得该旋风分离器在最小压降和最大效率下对应的几何结构参数，即在a/D、b/D、D_x/D、H/D、S/D取值分别为0.40、0.26、0.34、6.28、0.66时，压降为2.32kPa，分离效率为99.27%。

关键词: 旋风分离器, 结构参数, 分离效率, 压降, 计算流体力学(CFD)

Abstract:

The CFD-DPM (computational fluid dynamics-discrete particle model) and the response surface methodology has been performed to optimize the geometrical ratios of cyclone separator. The research results illustrate that the most significant geometrical parameter is the vortex finder diameter. Other four factors have significant effects on the cyclone performance viz., the inlet width, inlet height, the cyclone total height, and the vortex finder length. In addition, there were strong interactions between the effect of the inlet width and inlet height, inlet dimensions and the vortex finder diameter on the pressure drop. There were strong interactions between the effect of the vortex finder diameter and inlet height, the vortex finder length and the cyclone total height on the separation efficiency. Finally, a new set of geometrical ratios was obtained to achieve minimum pressure drop and maximum separation efficiency. When the value of a/D, b/D, D_x/D, H/D, S/D was 0.40, 0.26, 0.34, 6.28, 0.66, respectively, the minimum pressure drop was 2.32kPa and the maximum separation efficiency was 99.27%.

Key words: cyclone separator, geometrical parameters, separation efficiency, pressure drop, computational fluid dynamics (CFD)

中图分类号:

TK09
TM621

彭丽, 石战胜, 董方. 基于CFD-DPM的旋风分离器结构优化[J]. 发电技术, 2021, 42(3): 343-349.

Li PENG, Zhansheng SHI, Fang DONG. Structure Optimization of Cyclone Separator Based on CFD-DPM[J]. Power Generation Technology, 2021, 42(3): 343-349.

图/表 11

参考文献 28

1	BARDIN-MONNIER N , ALTMEYER S , SCHREIBER V , et al. Comparison of two methods of cyclones simulation: semi-empiric model and CFD.Example of a specific cyclone design[J]. Asia-pacific Journal of Chemical Engineering, 2013, 8 (1): 93- 103. DOI
2	MOTHES H , LÖFFLER F . Prediction of particle removal in cyclone separators[J]. International Journal of Chemical Reactor Engineering, 1988, 28, 51- 55.
3	BOHNET M , GOTTSCHALK O , MORWEISER M . Modern design of aerocyclones[J]. Advanced Powder Technology, 1997, 8, 137- 161. DOI
4	LEITH D , LICHT W . The collection efficiency of cyclone type particle collectors: a new theoretical approach[J]. AIChE Symposium Series, 1972, 68, 196- 206.
5	COKER A K . Understand cyclone design[J]. Chemical Engineering Progress, 1993, 28, 51- 55.
6	LICHT W , KOCH W H . New design approach boosts cyclone efficiency[J]. Chemical Engineering Journal, 1977, 7, 80- 88.
7	CASAL J , MARTINEZ-BENET J M . A better way to calculate cyclone pressure drop[J]. Chemical Engineering Journal, 1983, 2, 99- 108.
8	LI E , WANG Y . A new collection theory of cyclone separators[J]. AICHE Journal, 1989, 35, 666- 669. DOI
9	KARAGOZ A I . Effects of flow and geometrical parameters on the collection efficiency in cyclone separators[J]. Journal of Aerosol Science, 2003, 34, 937- 955. DOI
10	MUSCHELKNAUTZ E , TREFZ M . Design and calculation of higher and highest loaded gas cyclones[M]. Kyoto, Japan: Proceedings of Second World Congress on Particle Technology, 1990: 52- 71.
11	HOFFMANN A C , STEIN L E . Gas cyclones and swirl tubes: principles, design, and operation[M]. 2nd ed.Beijing: Chemical Industry Press, 2008.
12	STAIRMAND C J . Pressure drops in cyclone separators[J]. Industrial & Engineering Chemistry, 1949, 16, 409- 411.
13	ELSAYED K , LACOR C . Optimization of the cyclone separator geometry for minimum pressure drop using mathematical models and CFD simulations[J]. Chemical Engineering Science, 2010, 65 (22): 6048- 6058. DOI
14	SGROTT O L , NORILER D , WIGGERS V R , et al. Cyclone optimization by COMPLEX method and CFD simulation[J]. Powder Technology, 2015, 277, 11- 21. DOI
15	BOX M J . A new method of constrained optimization and a comparison with other methods[J]. Computer Journal, 1965, 8 (1): 42- 52. DOI
16	曹晴云. CFB锅炉旋风分离器内气固两相流动的数值模拟[D]. 青岛: 中国石油大学, 2008.
	CAO Q Y. Numerical simulation of gas-solid flow in cyclone separator of CFB boiler[D]. Qingdao: China University of Petroleum, 2008.
17	KARAGOZ I , KAYA F . CFD investigation of the flow and heat transfer characteristics in a tangential inlet cyclone[J]. International Communications in Heat & Mass Transfer, 2007, 34 (9/10): 1119- 1126.
18	赵新学, 金有海. 排尘口直径对旋风分离器壁面磨损影响的数值模拟[J]. 机械工程学报, 2012, 48 (6): 142- 148.
	ZHAO X X , JIN Y H . Effect of dust discharge diameter on wall erosion in cyclone separator[J]. Journal of Mechanical Engineering, 2012, 48 (6): 142- 148.
19	高翠芝, 孙国刚, 董瑞倩. 排气管对旋风分离器轴向速度分布形态影响的数值模拟[J]. 化工学报, 2010, 61 (9): 2409- 2416.
	GAO C Z , SUN G G , DONG R Q . Effect of vortex finder on axial velocity distribution patterns in cyclones[J]. CIESC Journal, 2010, 61 (9): 2409- 2416.
20	GONG G , YANG Z , ZHU S . Numerical investigation of the effect of helix angle and leaf margin on the flow pattern and the performance of the axial flow cyclone separator[J]. Applied Mathematical Modelling, 2012, 36 (8): 3916- 3930. DOI
21	GRONALD G , DERKSEN J J . Simulating turbulent swirling flow in a gas cyclone: a comparison of various modeling approaches[J]. Powder Technology, 2011, 205 (1/2/3): 160- 171.
22	WINFIELD D , CROSS M , CROFT N , et al. Performance comparison of a single and triple tangential inlet gas separation cyclone: a CFD study[J]. Powder Technology, 2013, 235 (2): 520- 531.
23	付烜, 孙国刚, 刘佳, 等. 旋风分离器进口涡旋感生速度场的减阻增效作用[J]. 化工学报, 2011, 62 (7): 1927- 1932. DOI
	FU X , SUN G G , LIU J , et al. Effect of induced velocity on separation efficiency and pressure drop of cyclones caused by vortex in vortex-tube inlet pipe[J]. CIESC Journal, 2011, 62 (7): 1927- 1932. DOI
24	熊攀, 鄢曙光, 刘玮寅. 基于响应曲面法的旋风分离器结构优化[J]. 化工学报, 2019, 70 (1): 164- 170.
	XIONG P , YAN S G , LIU W Y . Structure optimization of cyclone based on response surface method[J]. CIESC Journal, 2019, 70 (1): 164- 170.
25	BOX G E P , WILSON K B . On the experimental attainment of optimum conditions[J]. Journal of the Royal Statistical Society, 1951, 13, 1- 45.
26	HOEKSTRA A J , DERKSEN J J , AKKER H . An experimental and numerical study of turbulent swirling flow in gas cyclones[J]. Chemical Engineering Science, 1999, 54 (13/14): 2055- 2065.
27	ZHAO B , SU Y , ZHANG J . Simulation of gas flow pattern and separation efficiency in cyclone with conventional single and spiral double inlet configuration[J]. Chemical Engineering Research and Design, 2006, 84, 1158- 1165. DOI
28	MUSCHELKNAUTZ E . Die berechnung von zyklonabscheidern fur gas[J]. Chemie Ingenieur Technik, 1972, 44, 63- 71. DOI

方差来源	压降
方差来源	平方和	自由度	均方差	F值	p值
X₁	672.212 9	1	672.212 9	54.671 31	< 0.000 1
X₂	678.300 7	1	678.300 7	55.166 44	< 0.000 1
X₃	1 818.758	1	1 818.758	147.920 3	< 0.000 1
X₄	17.690 24	1	17.690 24	1.438 753	0.240 0
X₅	0.158 723	1	0.158 723	0.012 909	0.910 3
X₁-X₂	293.975 9	1	293.975 9	23.909 16	< 0.000 1
X₁-X₃	665.374 3	1	665.374 3	54.115 13	< 0.000 1
X₁-X₄	1.204 433	1	1.204 433	0.097 957	0.756 5
X₁-X₅	0.011 277	1	0.011 277	0.000 917	0.976 0
X₂-X₃	698.967 4	1	698.967 4	56.847 27	< 0.000 1
X₂-X₄	0.371 875	1	0.371 875	0.030 245	0.863 1
X₂-X₅	0.001 622	1	0.001 622	0.000 132	0.990 9
X₃-X₄	16.389 57	1	16.389 57	1.332 969	0.257 7
X₃-X₅	0.107 307	1	0.107 307	0.008 727	0.926 2
X₄-X₅	0.030 965	1	0.030 965	0.002 518	0.960 3
X₁²	0.092 961	1	0.092 961	0.007 561	0.931 3
X₂²	0.056 972	1	0.056 972	0.004 634	0.946 2
X₃²	84.079 37	1	84.079 37	6.838 205	0.014 0
X₄²	0.133 192	1	0.133 192	0.010 833	0.917 8
X₅²	0.096 224	1	0.096 224	0.007 826	0.930 1
R²	0.941 8

方差来源	压降
方差来源	平方和	自由度	均方差	F值	p值
X₁	672.212 9	1	672.212 9	54.671 31	< 0.000 1
X₂	678.300 7	1	678.300 7	55.166 44	< 0.000 1
X₃	1 818.758	1	1 818.758	147.920 3	< 0.000 1
X₄	17.690 24	1	17.690 24	1.438 753	0.240 0
X₅	0.158 723	1	0.158 723	0.012 909	0.910 3
X₁-X₂	293.975 9	1	293.975 9	23.909 16	< 0.000 1
X₁-X₃	665.374 3	1	665.374 3	54.115 13	< 0.000 1
X₁-X₄	1.204 433	1	1.204 433	0.097 957	0.756 5
X₁-X₅	0.011 277	1	0.011 277	0.000 917	0.976 0
X₂-X₃	698.967 4	1	698.967 4	56.847 27	< 0.000 1
X₂-X₄	0.371 875	1	0.371 875	0.030 245	0.863 1
X₂-X₅	0.001 622	1	0.001 622	0.000 132	0.990 9
X₃-X₄	16.389 57	1	16.389 57	1.332 969	0.257 7
X₃-X₅	0.107 307	1	0.107 307	0.008 727	0.926 2
X₄-X₅	0.030 965	1	0.030 965	0.002 518	0.960 3
X₁²	0.092 961	1	0.092 961	0.007 561	0.931 3
X₂²	0.056 972	1	0.056 972	0.004 634	0.946 2
X₃²	84.079 37	1	84.079 37	6.838 205	0.014 0
X₄²	0.133 192	1	0.133 192	0.010 833	0.917 8
X₅²	0.096 224	1	0.096 224	0.007 826	0.930 1
R²	0.941 8

方差来源	分离效率
方差来源	平方和	自由度	均方差	F值	p值
X₁	143.685 2	1	143.685 2	10.253	0.003 3
X₂	1 183.933	1	1 183.933	84.482 42	< 0.000 1
X₃	12 889	1	12 889	919.726 2	< 0.000 1
X₄	1 371.283	1	1 371.283	97.851 24	< 0.000 1
X₅	2 149.359	1	2 149.359	153.372 8	< 0.000 1
X₁-X₂	259.129 9	1	259.129 9	18.490 84	0.000 2
X₁-X₃	182.393 9	1	182.393 9	13.015 16	0.001 1
X₁-X₄	84.059 79	1	84.059 79	5.998 291	0.020 6
X₁-X₅	11.041 43	1	11.041 43	0.787 888	0.382 0
X₂-X₃	799.229	1	799.229	57.030 93	< 0.000 1
X₂-X₄	200.280 2	1	200.280 2	14.291 48	0.000 7
X₂-X₅	4.042 441	1	4.042 441	0.288 458	0.595 3
X₃-X₄	787.197 1	1	787.197 1	56.172 37	< 0.000 1
X₃-X₅	719.664	1	719.664	51.353 38	< 0.000 1
X₄-X₅	516.370 8	1	516.370 8	36.846 89	< 0.000 1
X₁²	0.454 944	1	0.454 944	0.032 464	0.858 3
X₂²	104.954 7	1	104.954 7	7.489 298	0.010 5
X₃²	17.108 32	1	17.108 32	1.220 806	0.278 3
X₄²	22.067 05	1	22.067 05	1.574 648	0.219 6
X₅²	2.411 547	1	2.411 547	0.172 082	0.681 3
R²	0.932 7

方差来源	分离效率
方差来源	平方和	自由度	均方差	F值	p值
X₁	143.685 2	1	143.685 2	10.253	0.003 3
X₂	1 183.933	1	1 183.933	84.482 42	< 0.000 1
X₃	12 889	1	12 889	919.726 2	< 0.000 1
X₄	1 371.283	1	1 371.283	97.851 24	< 0.000 1
X₅	2 149.359	1	2 149.359	153.372 8	< 0.000 1
X₁-X₂	259.129 9	1	259.129 9	18.490 84	0.000 2
X₁-X₃	182.393 9	1	182.393 9	13.015 16	0.001 1
X₁-X₄	84.059 79	1	84.059 79	5.998 291	0.020 6
X₁-X₅	11.041 43	1	11.041 43	0.787 888	0.382 0
X₂-X₃	799.229	1	799.229	57.030 93	< 0.000 1
X₂-X₄	200.280 2	1	200.280 2	14.291 48	0.000 7
X₂-X₅	4.042 441	1	4.042 441	0.288 458	0.595 3
X₃-X₄	787.197 1	1	787.197 1	56.172 37	< 0.000 1
X₃-X₅	719.664	1	719.664	51.353 38	< 0.000 1
X₄-X₅	516.370 8	1	516.370 8	36.846 89	< 0.000 1
X₁²	0.454 944	1	0.454 944	0.032 464	0.858 3
X₂²	104.954 7	1	104.954 7	7.489 298	0.010 5
X₃²	17.108 32	1	17.108 32	1.220 806	0.278 3
X₄²	22.067 05	1	22.067 05	1.574 648	0.219 6
X₅²	2.411 547	1	2.411 547	0.172 082	0.681 3
R²	0.932 7

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