Wenming Liu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Wenming Liu has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Hongmei Yin
School of Digital Equipment, Jiangsu Vocational College of Electronics and Information, Huaian 223003, China
1 shared publication - Zhiqiang Xu
School of Mechanical Engineering and Rail Transit, Changzhou University, Changzhou 213164, China
1 shared publication - Zhiqiang Xu
School of Digital Equipment, Jiangsu Vocational College of Electronics and Information, Huaian 223003, China
1 shared publication
Latest Publications
- Open Access
Catalyst Loading Technology for Fixed-Bed Reactors: From Empirical Heuristics to Data-Driven Intelligent Regulation
Fixed-bed reactors are pivotal in chemical industries, where catalyst loading critically determines reactor performance and economy. This critical review delineates and analyzes a three-stage evolution of loading technology: from empirical manual methods, through scenario-adaptive innovations, to closed-loop intelligent systems. It aims to decode the underlying scientific principles, assess the performance enhancements and inherent limitations of each stage, and critically examine the architectural framework and constraints of intelligent loading systems. Industrial validation data, such as from a 2.4 Mt/a hydrocracker, demonstrate potential improvements (e.g., 20–22% catalyst life extension, 1.8% bed pressure-drop fluctuation). However, the progression presents complex trade-offs in terms of scalability, cost, and standardization. The future direction is discussed, pointing toward addressing challenges in multi-physics modeling, digital twin integration, and fundamental research gaps. This work provides a balanced framework for evaluating loading technology evolution, acknowledging its context-dependent applicability.
Open AccessCatalyst Loading Technology for Fixed-Bed Reactors: From Empirical Heuristics to Data-Driven Intelligent Regulation
Fixed-bed reactors are pivotal in chemical industries, where catalyst loading critically determines reactor performance and economy. This critical review delineates and analyzes a three-stage evolution of loading technology: from empirical manual methods, through scenario-adaptive innovations, to closed-loop intelligent systems. It aims to decode the underlying scientific principles, assess the performance enhancements and inherent limitations of each stage, and critically examine the architectural framework and constraints of intelligent loading systems. Industrial validation data, such as from a 2.4 Mt/a hydrocracker, demonstrate potential improvements (e.g., 20–22% catalyst life extension, 1.8% bed pressure-drop fluctuation). However, the progression presents complex trade-offs in terms of scalability, cost, and standardization. The future direction is discussed, pointing toward addressing challenges in multi-physics modeling, digital twin integration, and fundamental research gaps. This work provides a balanced framework for evaluating loading technology evolution, acknowledging its context-dependent applicability.