Full
Outline
To address the challenges of limited heat transfer performance，high simulation costs，and low optimization efficiency faced by the environmentally friendly refrigerant R290 （propane） with low GWP （global warming potential） and zero ODP （ozone depletion potential） in the design of efficient heat exchangers，a distributed parameter model and algorithm were established，significantly improving computational efficiency.The predicted heat exchange error was only 2.78%，showing good agreement with experiments.Selecting corrugation inclination angle （β），corrugation pitch‑to‑height ratio （p/b），and plate length‑to‑width ratio （L/W） as design variables，an artificial neural network （ANN） surrogate model was constructed and coupled with the non‑dominated sorting genetic algorithm II （NSGA-II） for multi‑objective parameter optimization.The results show that the model's mean squared error （MSE） is only 0.54%，and the coefficient of determination （R2） is as high as 0.996 6，demonstrating strong predictive capability.By comprehensively analyzing heat exchange performance and pressure drop cost and analyzing the Pareto front，the optimal parameter combination is obtained：β=50°，p/b=2.0，L/W=2.0，achieving a total heat exchange increase of 31.20%.The research results provide a reliable method for the efficient design of R290 plate evaporators，contributing to the performance upgrade and low‑carbon transition of environmentally friendly refrigeration systems.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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