Intelligent Optimization Design Framework for Alternating Current Pulse Modulation Electrohydrodynamic Printing Process Parameters (Small 22/2025)
Source abstract
Abstract
Printing The cover design contains three main elements: the “brain” representing machine learning, the process of AC-EHD printing, and the “curved surface” representing parameter optimization, which expresses the paper's idea of using a machine learning-based optimization framework to rapidly optimize the AC-EHD printing parameters. More in article number 2407496, Yiwen Feng, Dazhi Wang, and co-workers.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Electrohydrodynamics and Fluid Dynamics · Power Transformer Diagnostics and Insulation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory for Micro/Nano Technology and System of Liaoning Province Dalian University of Technology Dalian 116024 China
State Key Laboratory of High‐performance Precision Manufacturing Dalian 116024 China
Liaoning Huanghai Laboratory Dalian 116024 China
Ningbo Institute of Dalian University of Technology Ningbo 315000 China
References
Reference metadata was not supplied for this record.