期刊名：Processes

期刊主页：https://www.mdpi.com/journal/processes

本期文献清单精选了Processes期刊AI-Enabled Process Engineering栏目2024-2025年的15篇前沿文章，聚焦过程模拟与优化、智能制造、新材料技术、绿色环境工程以及 AI 辅助的材料与生物加工等方向。希望能为相关领域的研究者提供有价值的思路与参考。

1. Development of a Novel Retrofit Framework Considering Industry 4.0 Concepts: A Case Study of a Modular Production System

基于工业4.0理念的新型改造框架开发：以模块化生产系统为例

Mendonca, R.S.; da Silva, M.; Ayres, F.A.C., Jr.; Bessa, I.V.; Medeiros, R.L.P.; Lucena, V.F., Jr. Development of a Novel Retrofit Framework Considering Industry 4.0 Concepts: A Case Study of a Modular Production System. Processes 2025, 13, 136.

http://www.mdpi.com/2227-9717/13/1/136

2. SharkNet Networks Applications in Smart Manufacturing Using IoT and Machine Learning

SharkNet网络在智能制造中的物联网与机器学习应用

Xie, Y.; Liu, W.; Yang, Q.; Sun, X.; Zhang, Y. SharkNet Networks Applications in Smart Manufacturing Using IoT and Machine Learning. Processes 2025, 13, 282.

http://www.mdpi.com/2227-9717/13/1/282

3. Integrating MILP, Discrete-Event Simulation, and Data-Driven Models for Distributed Flow Shop Scheduling Using Benders Cuts

基于Benders切割的集成MILP、离散事件仿真与数据驱动模型的分布式流水车间调度

Wallrath, R.; Franke, M.B. Integrating MILP, Discrete-Event Simulation, and Data-Driven Models for Distributed Flow Shop Scheduling Using Benders Cuts. Processes 2024, 12, 1772.

https://www.mdpi.com/2227-9717/12/8/1772

4. Optimization of Coreless PCB Coils Based on a Modified Taguchi Tuning Method for WPT of Pedelec

基于改进田口整定法的无芯PCB线圈在电动自行车无线电力传输中的优化

Chen, Y.-K.; Wang, C.-A. Optimization of Coreless PCB Coils Based on a Modified Taguchi Tuning Method for WPT of Pedelec. Processes 2024, 12, 2148.

https://www.mdpi.com/2227-9717/12/10/2148

5. Recovery of Lesser-Known Strategic Metals: The Gallium and Germanium Cases

未被广泛知晓的战略性金属回收：镓与锗的案例

Robla, J.I.; Alonso, M.; Alguacil, F.J. Recovery of Lesser-Known Strategic Metals: The Gallium and Germanium Cases. Processes 2024, 12, 2545.

https://www.mdpi.com/2227-9717/12/11/2545

6. Design and Characterization of a Continuous Melt Milling Process Tailoring Submicron Drug Particles

用于制备亚微米药物颗粒的连续熔融研磨工艺设计与表征

da Igreja, P.; Grenda, T.; Bartsch, J.; Thommes, M. Design and Characterization of a Continuous Melt Milling Process Tailoring Submicron Drug Particles. Processes 2024, 12, 1417.

http://www.mdpi.com/2227-9717/12/7/1417

7. Cloud Point Extraction as an Environmentally Friendly Technique for Sample Preparation

浊点萃取：一种环境友好的样品制备技术

Sznek, B.; Kupczyk, O.; Czyrski, A. Cloud Point Extraction as an Environmentally Friendly Technique for Sample Preparation. Processes 2025, 13, 430.

http://www.mdpi.com/2227-9717/13/2/430

8. Physicochemical, Functional, Antioxidant, Pasting and FT-IR Spectroscopic Properties of Fermented Acorns and Sorghum Using Traditional Algerian Processes

阿尔及利亚传统工艺发酵橡子与高粱的理化、功能、抗氧化、糊化及FT-IR光谱特性

Belmouloud, R.; Bourekoua, H.; Wójtowicz, A.; Mahroug, H.; Ayad, R.; Krajewska, M.; Rózylo, R. Physicochemical, Functional, Antioxidant, Pasting and FT-IR Spectroscopic Properties of Fermented Acorns and Sorghum Using Traditional Algerian Processes. Processes 2024, 12, 1647.

http://www.mdpi.com/2227-9717/12/8/1647

9. Challenges and Advances in Tertiary Waste Water Treatment for Municipal Treatment Plants

城市污水处理厂三级废水处理的挑战与进展

Solcova, O.; Dlaskova, M.; Kastanek, F. Challenges and Advances in Tertiary Waste Water Treatment for Municipal Treatment Plants. Processes 2024, 12, 2084.

http://www.mdpi.com/2227-9717/12/10/2084

10. Machine Learning-Based Estimation of Sewage Treatment Facility Capacity and Design Adequacy: A Case Study in Korea

基于机器学习的污水处理设施处理能力与设计合理性评估：以韩国为例

Lee, J.-S.; Kim, C.-H.; Shin, D.-C. Machine Learning-Based Estimation of Sewage Treatment Facility Capacity and Design Adequacy: A Case Study in Korea. Processes 2025, 13, 3995.

https://www.mdpi.com/2227-9717/13/12/3995

11. A Review of Intelligent Modeling for Microalgae Systems: Integrating Data Mining, Machine Learning, and Hybrid Approaches

微藻系统智能建模综述：整合数据挖掘、机器学习与混合方法

Freitas, G.R.; Badenes, S.; Oliveira, R.; Martins, F.G. A Review of Intelligent Modeling for Microalgae Systems: Integrating Data Mining, Machine Learning, and Hybrid Approaches. Processes 2025, 13, 2956.

http://www.mdpi.com/2227-9717/13/9/2956

12. Co-Gasification of Plastic Waste Blended with Biomass: Process Modeling and Multi-Objective Optimization

塑料废弃物与生物质混合气化：过程建模与多目标优化

Aentung, T.; Patcharavorachot, Y.; Wu, W. Co-Gasification of Plastic Waste Blended with Biomass: Process Modeling and Multi-Objective Optimization. Processes 2024, 12, 1906.

http://www.mdpi.com/2227-9717/12/9/1906

13. A New Use Strategy of Artificial Intelligence Algorithms for Energy Optimization in Plastic Injection Molding

人工智能算法在塑料注塑成型能耗优化中的新应用策略

Pascoschi, G.; De Filippis, L.A.C.; Decataldo, A.; Dassisti, M. A New Use Strategy of Artificial Intelligence Algorithms for Energy Optimization in Plastic Injection Molding. Processes 2024, 12, 2798.

http://www.mdpi.com/2227-9717/12/12/2798

14. Evaluating Generalization, Bias, and Fairness in Deep Learning for Metal Surface Defect Detection: A Comparative Study

评估深度学习在金属表面缺陷检测中的泛化能力、偏差与公平性：一项比较研究

Rattanaphan, S.; Briassouli, A. Evaluating Generalization, Bias, and Fairness in Deep Learning for Metal Surface Defect Detection: A Comparative Study. Processes 2024, 12, 456.

http://www.mdpi.com/2227-9717/12/3/456

15. An AI-Assisted Thermodynamic Equilibrium Simulator: A Case Study on Steam Methane Reforming in Isothermal and Adiabatic Reactors

人工智能辅助热力学平衡模拟器：以等温与绝热反应器中蒸汽甲烷重整为例

dos Santos Junior, J.M.; de Freitas, A.C.D.; Mariano, A.P. An AI-Assisted Thermodynamic Equilibrium Simulator: A Case Study on Steam Methane Reforming in Isothermal and Adiabatic Reactors. Processes 2025, 13, 2508.

https://www.mdpi.com/2227-9717/13/8/2508

Processes 期刊介绍

主编：Prof. Dr. Giancarlo Cravotto, University of Turin, Italy

Processes 专注于过程工程和系统工程领域，主题内容涵盖化学、生物、材料、环境、能源、食品、制药、制造、自动化控制等相关过程工程方向。目前已被Scopus、SCIE (Web of Science)、Ei Compendex, CAPlus/SciFinder、Inspec 等数据库收录。

2025 Impact Factor: 3.4

2025 CiteScore: 5.7

Time to First Decision: 14.9 Days

Median Publication Time: 36 Days