Investigation on thermal-hydraulic performance of parallel-flow shell and tube heat exchanger with a new type of anti-vibration baffle and wire coil using RSM method

Effect of helical baffles and water‐based Al2O3, CuO, and SiO2nanoparticles in the enhancement of thermal performance for shell and tube heat exchanger

“…Shell side pressure drop 2,14 $$$\Delta {P}_{s}=\frac{{\rho }_{s}{v}_{s}^{2}}{2}\left(\frac{L{f}_{s}}{B}\frac{{D}_{s}}{{D}_{e}}\right).$$$…”

“…The hydraulic diameter of the shell side fluid for square pattern 14,33 $$${D}_{h}=\frac{4\left({P}_{t}^{2}-\frac{\pi {d}_{0}^{2}}{4}\right)}{\pi {d}_{0}}.$$$…”

“…The author found a 22% effectiveness improvement in STHX without baffles, 2.5% with 50° align baffles. Yu et al 14 studied the thermal‐hydraulic performance of parallel flow STHX with round rod baffles (RRB‐STHX), STHX with a new type of anti‐vibration baffle (hexagon clamping baffle), and equilateral triangle cross‐sectioned wire coils (HCBetsw‐STHX) using response surface method by considering the distance of baffle, pitch, the diameter of coil and Re are main parameters for design, from this study HCBetsw‐STHX was better for enhancing heat transfer when compared with RRB‐STHX.…”

Constructal optimization for an organic fluid shell-and-tube heat exchanger based on entransy theory

“…管壳式换热器广泛应用于国民经济的各个领域 中 [1,2] , 对管壳式换热器结构和性能参数进行优化是提 高其性能的重要措施. 一些学者采用经典传热优化方 法分别以传热率 [3~6] 、效率 [5,7,8] 、压降 [4,6,7] 、总成 本 [3,7,9] 、熵产率 [7,10,11] 、场协同数 [12,13] 等为优化目标对 其进行了优化, 使得其性能得到显著提高.…”

Fluid Flow and Heat Transfer Characteristics Investigation in the Shell Side of the Branch Baffle Heat Exchanger

“…Yang et al (2014) compared the results of rod baffle heat exchanger calculated from four different numerical models with experimental data and reported that the whole model has the highest accuracy in predicting heat transfer, pressure drop, and genuine flow conditions, whereas the whole model requires a large amount of computing resource. As far as research methodology is concerned, experimental results tend to be more convincing and broadly recognized (Yu et al 2019). However, experiments will consume much time and financial resources.…”