纺织学报 ›› 2026, Vol. 47 ›› Issue (07): 54-62.doi: 10.13475/j.fzxb.20260303401

• 第二十八届中国科协年会学术论文·减污降碳共性技术突破专栏· • 上一篇    下一篇

定形机余热回收板翅式换热器的设计与性能优化

曹先仲1,2,3(), 娄辉清2,4, 陈骁军1, 沈一峰3   

  1. 1 现代纺织技术创新中心(鉴湖实验室), 浙江 绍兴 312033
    2 浙江纺织服装职业技术学院 宁波市纺织服装智能制造技术重点实验室, 浙江 宁波 315211
    3 浙江理工大学绍兴柯桥研究院, 浙江 绍兴 312033
    4 浙江纺织服装职业技术学院 纺织学院, 浙江 宁波 315211
  • 收稿日期:2026-03-13 修回日期:2026-05-14 出版日期:2026-07-15 发布日期:2026-07-29
  • 作者简介:曹先仲(1983—),男,高级工程师,博士。主要研究方向为绿色低碳技术与政策。E-mail:xianzhongcao@163.com
  • 基金资助:
    浙江省“尖兵领雁+X”研发攻关计划项目(ZX20251230X001);宁波市纺织服装智能制造技术重点实验室开放基金项目(浙江纺织服装职业技术学院)(2024ZDSYS-B-001);宁波市纺织服装智能制造技术重点实验室开放基金项目(浙江纺织服装职业技术学院)(2024ZDSYS-C-006)

Design and performance optimization of plate-fin heat exchangers for waste heat recovery of stenters

CAO Xianzhong1,2,3(), LOU Huiqing2,4, CHEN Xiaojun1, SHEN Yifeng3   

  1. 1 315211n Center of Advanced Textile Technology (Jianhu Laboratory) , Shaoxing, Zhejiang 312033, China
    2 Ningbo Key Laboratory of Intelligent Manufacturing of Textiles and Garments (Zhejiang Fashion Institute of Technology), Ningbo, Zhejiang 315211, China
    3 Zhejiang Sci-Tech University, Shaoxing-Keqiao Research Institute, Shaoxing, Zhejiang 312033, China
    4 College of Textiles, Zhejiang Fashion Institute of Technology, Ningbo, Zhejiang 315211, China
  • Received:2026-03-13 Revised:2026-05-14 Published:2026-07-15 Online:2026-07-29

摘要:

为解决定形机废气余热回收换热器易堵塞、腐蚀及效率衰减问题,系统开展了材料筛选、结构优化、污垢建模与工程验证研究。通过测试碳钢、304不锈钢、316不锈钢、316L不锈钢及钛合金5种材料在20~300 ℃下的热导率及模拟废气环境中的耐腐蚀性能。采用计算流体力学模拟与非支配排序遗传算法 II对通道间距与翅片间距比进行多目标优化,结合逼近理想解排序法决策,引入壁面剪切力修正建立渐进式污垢预测模型,结果表明:通过成本分析,确定304不锈钢为最优选材,其在100 ℃下的热导率为16.3 W/(m·K),腐蚀速率低于0.01 mm/a;确定最优参数为通道间距2.0 mm、翅片间距比0.5;与初始设计相比,定形机余热回收换热器换热量提升18.7%,压降降低22.3%,材料体积减少15%,经3 000 h试验验证,平均预测误差为3.94%。工程应用表明,系统废气平均温降56 ℃,热回收效率25.2%,㶲效率18.7%,年节约天然气7.38万m3,减排CO2 199 t。

关键词: 板翅式换热器, 定形机, 余热回收, 304不锈钢, 结构优化, 污垢模型

Abstract:

Objective In order to address the critical challenges of fouling, corrosion, and performance degradation in heat exchangers used for waste heat recovery from stenter exhaust in the textile printing and dyeing industry, this study aims to develop a comprehensive and practical design solution. The primary objectives are to identify an optimal material with balanced thermal conductivity, corrosion resistance, and cost, to optimize the core structural parameters of a plate heat exchanger for enhanced comprehensive performance, to establish an accurate fouling prediction model tailored to the oily-fibrous exhaust conditions, and to validate the overall system performance through long-term laboratory and field engineering tests.

Method Five candidate materials (carbon steel, 304 stainless steel, 316 stainless steel, 316L stainless steel, and TA1 titanium alloy) were evaluated. Thermal conductivity was measured using the steady-state plate method from 20℃ to 300℃, and corrosion resistance was assessed by potentiodynamic polarization tests in a simulated acidic exhaust environment (H2SO4 (pH=4), 80℃). A multi-objective optimization framework was developed by coupling computational fluid dynamics (CFD) simulations with the NSGA-II algorithm to optimize the channel spacing and fin spacing ratio. The objectives were to maximize heat transfer rate, while minimizing pressure drop and material volume. The technique for order preference by similarity to ideal solution (TOPSIS) was subsequently employed to select the optimal solution from the Pareto front. A novel asymptotic fouling prediction model was established by introducing a wall shear stress modification to the Kern-Seaton theory, coupling the deposition and shear-driven removal rates. This model was validated through a 3 000 h fouling experiment. Finally, the optimized heat exchanger system was installed and tested on an industrial stenter line for three months to evaluate its real-world thermal performance, stability, and economic benefits.

Results The material tests showed that while carbon steel had the highest thermal conductivity (50.2 W/(m·K)) at room temperature, its conductivity decreased at elevated temperatures, and its corrosion rate (0.144 mm/a) was unacceptably high. Titanium alloy exhibited the best corrosion resistance (0.000 6 mm/a) and stable thermal conductivity but at a prohibitive cost (5-8 times that of 304 stainless steel). 304 stainless steel demonstrated an optimal balance, with a thermal conductivity of 16.3 W/(m·K) at 100 ℃, a value that increased with temperature, and a corrosion rate below 0.01 mm/a. The CFD and NSGA-II multi-objective optimization revealed the inherent trade-offs among heat transfer rate (Q), pressure drop (ΔP), and material volume (Vm), with the conflicting nature of these objectives evident from the resulting Pareto front. Based on the material selection of 304 stainless steel, the TOPSIS analysis identified the optimal structural parameters as a channel spacing (d) of 2.0 mm and a fin spacing ratio (α) of 0.5. Under this material-specific context, this configuration yielded a TOPSIS closeness coefficient of 0.824, significantly outperforming other candidates. Compared to the initial design, this optimized structure achieved an 18.7% increase in heat transfer rate, a 22.3% reduction in pressure drop, and a 15% decrease in material volume. The proposed wall shear stress-modified asymptotic fouling model accurately captured the typical fouling growth trend. The predicted fouling resistance values showed excellent agreement with the 3 000 h experimental data, with a mean relative error of only 3.94%. Sensitivity analysis confirmed that the model could quantitatively describe the influences of the removal rate constant and wall shear stress on fouling dynamics. In the field engineering trial, the system operated stably over three months without significant fouling or corrosion. The exhaust gas was cooled by an average of 56 ℃ (from 182 ℃ to 126 ℃), while fresh air was preheated by 158 ℃. The system achieved a heat recovery efficiency of 25.2% and an exergy efficiency of 18.7%. The annual economic and environmental benefits are substantial, with projected savings of 73 800 m3 (Standard m3) of natural gas and a reduction of 199 tons of CO2 emissions per year (based on 6 000 operating hours).

Conclusion This research successfully delivers a validated, integrated solution for waste heat recovery from stenter exhaust. 304 stainless steel is confirmed as the most cost-effective and durable material choice. The identified structural parameters (d=2.0 mm, α=0.5) represent an optimal engineering compromise, significantly enhancing thermal-hydraulic performance while reducing material costs. The novel fouling model provides a reliable tool for predicting maintenance needs and optimizing cleaning schedules. The successful industrial application demonstrates that the designed system offers high efficiency, robust long-term stability, and significant energy-saving and emission-reduction potential, providing a practical and scientifically-grounded technology pathway for sustainable development in the textile industry.

Key words: plate-fin heat exchanger, stenter, waste heat recovery, 304 stainless steel, structural optimization, fouling model

中图分类号: 

  • TS198

表1

不同材质在不同温度下的热导率与耐腐蚀性能"

材料 热导率/(W·(m·K)-1) 耐腐蚀性能
20 ℃ 100 ℃ 200 ℃ 300 ℃ 腐蚀电流密度/
(μA·cm-2)
腐蚀速率/
(mm·a-1)
碳钢 50.2 49.2 47.9 46.5 12.45 0.144 0
304不锈钢 15.4 16.3 17.5 18.7 0.85 0.009 8
316不锈钢 14.2 16.3 20.4 22.6 0.72 0.008 3
316L不锈钢 12.1 16.1 17.3 18.6 0.68 0.007 8
钛合金(TA1) 17.0 17.5 18.1 18.8 0.05 0.000 6

图1

不同通道间距下单位间距的换热量、压降和综合评价系数"

图2

不同翅片间距比的换热量、压降和综合评价系数"

表2

结构参数对通道内特性与宏观性能的影响机制"

结构参数
变化
对内部流动与
传热特性的影响
对宏观性能的
工程影响
工程设计
启示
减小翅
片间距
流通面积减小,流速增大;涡流增强,扰动加剧;热边界层破坏,对流换热系数提高 换热量显著提升,但压降大幅增加 适用于换热性能要求高、泵功裕量充足的场景;α=0.5时换热增益优于压降代价,为优选
增大通
道间距
流通面积增大,流速降低;壁面剪切力减弱;热边界层增厚,传热强度下降 压降显著降低,运行能耗减少,但单位体积换热量略有下降 适用于压降敏感或能耗受限系统;d=2.0 mm时压降降幅显著,换热损失小,综合最优
最优组
合(d=
2.0 mm,
α=0.5)
在强扰动与低平均流速间取得平衡;维持较高换热系数,避免热边界层过厚 综合评价系数最高,实现高效换热与合理流动阻力的最佳匹配 为余热回收系统提供高效、低阻的设计基准

图3

换热量、压降与材料体积的Pareto前沿分布"

表3

TOPSIS综合评价前5名解及其参数"

排名 通道
间距/mm
翅片
间距比
换热量/
W
压降/
kPa
材料体
积/cm3
接近度
1 2.0 0.5 469 12.45 312 0.824
2 2.0 0.6 452 10.89 305 0.791
3 1.8 0.6 488 14.12 298 0.777
4 2.2 0.5 438 9.67 328 0.764
5 1.8 0.5 501 15.23 290 0.745

图4

渐进式污垢预测模型预测结果"

图5

参数kr与τw对污垢热阻动态特性的影响"

表4

换热前后温度与流量测试结果"

项目 废气
温度/
新风
温度/
废气流量/
(m3·h-1)
新风流量/
(m3·h-1)
热回收
效率/%
㶲效率/
%
换热前 182±1 15±1 6 000±120 1 246±25
换热后 126±1 173±2 6 000±120 1 246±25
变化量 -56±1 +158±2 25.2±
0.5
18.7±
0.4

图6

换热系统运行期间温度与热回收功率动态变化"

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