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引用次数: 0
摘要
球形颗粒是一种高价值产品,具有优异的宏观特性,并能提高下游加工效率。本研究采用了人工神经网络(ANN)和遗传算法(GA)相结合的综合数字设计策略来优化球形团聚(SA)工艺。首先,创建了一个苯甲酸 SA 工艺数据集,随后用于训练和测试 ANN 模型。构建了环境影响可持续性指数(STI),以评估与苯甲酸生产过程中每个操作变量相关的环境影响。为实现多目标优化,采用了 GA 与 ANN 模型相结合的方法。此外,考虑到所分配权重的变化,还制定了一个分数函数来生成帕累托前沿,以满足实际场景的特定需求。此外,该模型还适用于阿司匹林 SA 工艺,在仅有 20% 的原始运行条件数据的情况下提高了预测能力。
Design and optimization of spherical agglomeration process based on machine learning strategy
Spherical particles stand out as high-value products with superior macroscopic properties and enhanced downstream processing efficiency. In this study, an integrated digital design strategy, combining artificial neural networks (ANN) and genetic algorithms (GA) has been employed to optimize the spherical agglomeration (SA) process. Initially, a dataset of benzoic acid SA processes was created, which was subsequently employed for training and testing the ANN model. An environmental impact sustainability index (STI) was constructed to assess the environmental effects associated with each operational variable in the SA process. To attain multi-objective optimization, a GA was employed in combination with the ANN model. In addition, a Score function was formulated to generate Pareto fronts, tailored to meet the specific needs of real scenarios, considering variations in the assigned weights. Furthermore, the model was adapted for aspirin SA process, enhancing predictive abilities with only 20% of original data on operating conditions.
期刊介绍:
The AIChE Journal is the premier research monthly in chemical engineering and related fields. This peer-reviewed and broad-based journal reports on the most important and latest technological advances in core areas of chemical engineering as well as in other relevant engineering disciplines. To keep abreast with the progressive outlook of the profession, the Journal has been expanding the scope of its editorial contents to include such fast developing areas as biotechnology, electrochemical engineering, and environmental engineering.
The AIChE Journal is indeed the global communications vehicle for the world-renowned researchers to exchange top-notch research findings with one another. Subscribing to the AIChE Journal is like having immediate access to nine topical journals in the field.
Articles are categorized according to the following topical areas:
Biomolecular Engineering, Bioengineering, Biochemicals, Biofuels, and Food
Inorganic Materials: Synthesis and Processing
Particle Technology and Fluidization
Process Systems Engineering
Reaction Engineering, Kinetics and Catalysis
Separations: Materials, Devices and Processes
Soft Materials: Synthesis, Processing and Products
Thermodynamics and Molecular-Scale Phenomena
Transport Phenomena and Fluid Mechanics.