Results 171 to 180 of about 69,300 (308)
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim +5 more
wiley +1 more source
Picosecond Laser Micro-welded Similar and Dissimilar Material [PDF]
Carter, Richard +4 more
core
This study investigates the feasibility of scaling up Prussian White (PW)‐based cathode manufacturing at a pilot scale. Through careful PW dehydration combined with optimized aqueous processing, we report the stepwise development of industrially relevant 1 Ah pouch cells and evaluate their performance under various conditions.
Faduma M. Maddar +7 more
wiley +1 more source
Consolidation of multiple binary distillation columns for large heat duty savings
ABSTRACT The enormous scales of chemical and petrochemical plants present significant challenges in separating and purifying numerous mixed streams generated within a facility, as well as in achieving effective energy utilization and process intensification.
Parikshit S. Kadu, Rakesh Agrawal
wiley +1 more source
Effect of Welding Current on Weld Formation, Microstructure, and Mechanical Properties in Resistance Spot Welding of CR590T/340Y Galvanized Dual Phase Steel. [PDF]
Zhang X, Yao F, Ren Z, Yu H.
europepmc +1 more source
Magnetic pulse welding: lessons to be learned from explosive welding [PDF]
De Waele, Wim +2 more
core +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Prediction of percentage of ferrite as a function of heat input in robotic gas metal arc welding of duplex stainless steel SAF 2205 Welds [PDF]
Muñoz-Escalona, Patricia +1 more
core +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Welding Forces and Bead Formation Mechanism in Electron-Beam Welding
Haruyoshi Suzuki +2 more
openaire +2 more sources

