化工学报 ›› 2023, Vol. 74 ›› Issue (11): 4587-4599.DOI: 10.11949/0438-1157.20230993
邢雷1,2,3(), 苗春雨1, 蒋明虎1,3(), 赵立新1,3, 李新亚1,3
收稿日期:
2023-09-21
修回日期:
2023-11-11
出版日期:
2023-11-25
发布日期:
2024-01-22
通讯作者:
蒋明虎
作者简介:
邢雷(1990—),男,博士,副教授,Nepuxinglei@163.com
基金资助:
Lei XING1,2,3(), Chunyu MIAO1, Minghu JIANG1,3(), Lixin ZHAO1,3, Xinya LI1,3
Received:
2023-09-21
Revised:
2023-11-11
Online:
2023-11-25
Published:
2024-01-22
Contact:
Minghu JIANG
摘要:
为解决井下油水分离水力旋流器串接工艺较为复杂的问题,基于串联旋流分离原理提出一种新型多级螺旋分离器结构。利用响应曲面设计结合计算流体动力学方法,构建多级螺旋分离器参数与分离效率间的数学关系模型,得出最佳结构参数匹配方案,并针对最优结构模型系统地探究在一定范围内不同入口流量、油相体积分数及分流比对应的分离性能变化规律。开展室内分离性能实验,对数值模拟结果的准确性及优化结果的高效性进行验证。结果表明,优化后的结构可使分离效率由91.0%提高至96.2%。对比不同入口流量条件下的分离性能,得出最佳入口流量为2.5 m3/h;在一定范围内,随着油相体积分数及溢流分流比的增加,分离效率均呈先增大后减小趋势,其中模拟效率最高可达99.72%,实验效率可达97.70%,进一步验证了模拟结果的可靠性及优化结果的高效性。
中图分类号:
邢雷, 苗春雨, 蒋明虎, 赵立新, 李新亚. 多级螺旋分离器结构优化设计与性能分析[J]. 化工学报, 2023, 74(11): 4587-4599.
Lei XING, Chunyu MIAO, Minghu JIANG, Lixin ZHAO, Xinya LI. Optimal design and performance analysis of multi-stage spiral separator[J]. CIESC Journal, 2023, 74(11): 4587-4599.
结构参数 | 数值 | 结构参数 | 数值 |
---|---|---|---|
D1/mm | 6 | L1/mm | 8 |
D2/mm | 8 | L2/mm | 30 |
D3/mm | 12 | L3/mm | 8 |
D4/mm | 22 | L4/mm | 25 |
D5/mm | 10 | L5/mm | 25 |
D6/mm | 6 | L6/mm | 50 |
D7/mm | 8 | L7/mm | 200 |
D8/mm | 22 | L8/mm | 200 |
D9/mm | 25 | L9/mm | 100 |
R1/mm | 10 |
表1 多级螺旋分离器结构参数
Table 1 Structural parameters of multi-stage spiral separator
结构参数 | 数值 | 结构参数 | 数值 |
---|---|---|---|
D1/mm | 6 | L1/mm | 8 |
D2/mm | 8 | L2/mm | 30 |
D3/mm | 12 | L3/mm | 8 |
D4/mm | 22 | L4/mm | 25 |
D5/mm | 10 | L5/mm | 25 |
D6/mm | 6 | L6/mm | 50 |
D7/mm | 8 | L7/mm | 200 |
D8/mm | 22 | L8/mm | 200 |
D9/mm | 25 | L9/mm | 100 |
R1/mm | 10 |
图4 实验装置及工艺流程1—搅拌器; 2—储水罐; 3—储油罐; 4—柱塞泵; 5—螺杆泵; 6—变频调节器; 7—静态混合器;8—阀; 9—浮子流量计; 10—压力表; 11—取样阀; 12—实验样机; 13—样机实物; 14—废液循环罐
Fig.4 Experimental facilities and process
因素 | 水平 | ||
---|---|---|---|
高(+1) | 低(-1) | 中心点(0) | |
油相体积分数x1/% | 9 | 1 | 5 |
一二级间距x2/mm | 300 | 100 | 200 |
二三级间距x3/mm | 300 | 100 | 200 |
表2 因素水平设计
Table 2 Factors and levels design
因素 | 水平 | ||
---|---|---|---|
高(+1) | 低(-1) | 中心点(0) | |
油相体积分数x1/% | 9 | 1 | 5 |
一二级间距x2/mm | 300 | 100 | 200 |
二三级间距x3/mm | 300 | 100 | 200 |
实验序号 | x1/% | x2/mm | x3/mm | E/% |
---|---|---|---|---|
1 | 5 | 200 | 200 | 91.0 |
2 | 9 | 100 | 200 | 81.1 |
3 | 5 | 300 | 300 | 90.9 |
4 | 1 | 100 | 200 | 97.1 |
5 | 9 | 200 | 300 | 81.1 |
6 | 1 | 300 | 200 | 97.9 |
7 | 5 | 300 | 100 | 90.1 |
8 | 5 | 100 | 100 | 90.2 |
9 | 5 | 200 | 200 | 91.0 |
10 | 5 | 100 | 300 | 90.5 |
11 | 9 | 300 | 200 | 80.8 |
12 | 1 | 200 | 300 | 97.9 |
13 | 5 | 200 | 200 | 91.0 |
14 | 9 | 200 | 100 | 81.3 |
15 | 1 | 200 | 100 | 96.9 |
16 | 5 | 200 | 200 | 91.0 |
17 | 5 | 200 | 200 | 91.0 |
表3 BBD设计及实验结果
Table 3 Design and results of box-Behnken design
实验序号 | x1/% | x2/mm | x3/mm | E/% |
---|---|---|---|---|
1 | 5 | 200 | 200 | 91.0 |
2 | 9 | 100 | 200 | 81.1 |
3 | 5 | 300 | 300 | 90.9 |
4 | 1 | 100 | 200 | 97.1 |
5 | 9 | 200 | 300 | 81.1 |
6 | 1 | 300 | 200 | 97.9 |
7 | 5 | 300 | 100 | 90.1 |
8 | 5 | 100 | 100 | 90.2 |
9 | 5 | 200 | 200 | 91.0 |
10 | 5 | 100 | 300 | 90.5 |
11 | 9 | 300 | 200 | 80.8 |
12 | 1 | 200 | 300 | 97.9 |
13 | 5 | 200 | 200 | 91.0 |
14 | 9 | 200 | 100 | 81.3 |
15 | 1 | 200 | 100 | 96.9 |
16 | 5 | 200 | 200 | 91.0 |
17 | 5 | 200 | 200 | 91.0 |
类型 | 离差平方和 | 自由度 | 均方 | F值 | P |
---|---|---|---|---|---|
模型 | 547.58 | 9 | 60.84 | 5495.48 | <0.0001 |
x1 | 536.28 | 1 | 536.28 | 48438.31 | <0.0001 |
x2 | 0.0800 | 1 | 0.0800 | 7.23 | 0.0312 |
x3 | 0.4512 | 1 | 0.4512 | 40.76 | 0.0004 |
x1x2 | 0.3025 | 1 | 0.3025 | 27.32 | 0.0012 |
x1x3 | 0.3600 | 1 | 0.3600 | 32.52 | 0.0007 |
x2x3 | 0.0625 | 1 | 0.0625 | 5.65 | 0.0492 |
x1² | 8.85 | 1 | 8.85 | 799.59 | <0.0001 |
x2² | 0.4447 | 1 | 0.4447 | 40.17 | 0.0004 |
x3² | 0.2632 | 1 | 0.2632 | 23.77 | 0.0018 |
残差 | 0.0775 | 7 | 0.0111 | — | — |
失拟项 | 0.0775 | 3 | 0.0258 | — | — |
纯误差 | 0 | 4 | 0 | — | — |
表4 回归模型的方差分析结果
Table 4 The model results of variance analysis
类型 | 离差平方和 | 自由度 | 均方 | F值 | P |
---|---|---|---|---|---|
模型 | 547.58 | 9 | 60.84 | 5495.48 | <0.0001 |
x1 | 536.28 | 1 | 536.28 | 48438.31 | <0.0001 |
x2 | 0.0800 | 1 | 0.0800 | 7.23 | 0.0312 |
x3 | 0.4512 | 1 | 0.4512 | 40.76 | 0.0004 |
x1x2 | 0.3025 | 1 | 0.3025 | 27.32 | 0.0012 |
x1x3 | 0.3600 | 1 | 0.3600 | 32.52 | 0.0007 |
x2x3 | 0.0625 | 1 | 0.0625 | 5.65 | 0.0492 |
x1² | 8.85 | 1 | 8.85 | 799.59 | <0.0001 |
x2² | 0.4447 | 1 | 0.4447 | 40.17 | 0.0004 |
x3² | 0.2632 | 1 | 0.2632 | 23.77 | 0.0018 |
残差 | 0.0775 | 7 | 0.0111 | — | — |
失拟项 | 0.0775 | 3 | 0.0258 | — | — |
纯误差 | 0 | 4 | 0 | — | — |
统计项目 | 数值 | 统计项目 | 数值 |
---|---|---|---|
标准偏差 | 0.1052 | R² | 0.999 |
均值 | 90.05 | adjusted R² | 0.999 |
C.V. | 9.69% | predicted R² | 0.997 |
adeq precision | 212.66 |
表5 回归模型误差统计分析
Table 5 The model results of statistic analysis
统计项目 | 数值 | 统计项目 | 数值 |
---|---|---|---|
标准偏差 | 0.1052 | R² | 0.999 |
均值 | 90.05 | adjusted R² | 0.999 |
C.V. | 9.69% | predicted R² | 0.997 |
adeq precision | 212.66 |
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