Tool Wear and Surface Finish in AISI 304 Stainless Steel Dry Turning with Cermet Inserts. [PDF]
Magalhães LC +3 more
europepmc +1 more source
Mechanistic anode engineering for aqueous aluminium‐ion batteries is discussed through alloying and microstructure control, surface/interface engineering, and electrolyte modification to regulate ion transport, suppress dendrites, passivation, hydrogen evolution, and side reactions, highlighting standardisation, computational acceleration, and ...
Hong Zhao +3 more
wiley +1 more source
Formation mechanism of grinding wheel oxide layer in the ultrasonic-assisted ELID grinding of silicon carbide ceramics. [PDF]
Jia X +6 more
europepmc +1 more source
Challenges and enablers in fluidization technology
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley +1 more source
Sustainable optimization of drilling performance in Al6061-B<sub>4</sub>C composites: process-property interactions for lightweight engineering applications. [PDF]
Nithyananda BS +3 more
europepmc +1 more source
Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source
Structural and Technological Aspects of Improving the Accuracy of Worm Gears in the Processes of Design, Manufacturing, and Assembly. [PDF]
Kacalak W +4 more
europepmc +1 more source
Physics‐encoded transfer learning for scale‐up modeling of CHO cell bioreactors
Abstract Developing reliable predictive models for mammalian cell bioreactors, particularly Chinese hamster ovary (CHO) cultures widely used in biopharmaceutical manufacturing, remains challenging due to severe data scarcity in industrial‐scale reactors.
Muyang Li, Ming Xiao, Zhe Wu
wiley +1 more source
Quality Control Technology for Abrasive Flow Precision Machining of a High-Performance Impeller. [PDF]
Li J +14 more
europepmc +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source

