Results 161 to 170 of about 93,025 (314)
Tool Wear and Surface Finish in AISI 304 Stainless Steel Dry Turning with Cermet Inserts. [PDF]
Magalhães LC +3 more
europepmc +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
Intelligent tool wear monitoring using XGBoost, SVR, and DNN models in NMQL environment. [PDF]
Almomani O +9 more
europepmc +1 more source
Stacked nanoflake assembly (SNA) membranes can oscillate autonomously, offering opportunities for soft actuation and energy harvesting. This work uncovers the physical mechanism behind the sustained oscillation of SNA membranes in gradient humidity and identifies three governing dimensionless parameters, enabling rational design for optimizing SNA ...
Zijing Zhang +5 more
wiley +1 more source
Cloud-based collaborative CNC manufacturing framework integrating tool wear monitoring and scheduling support. [PDF]
Imran, Nouioua M, Mekid S.
europepmc +1 more source
Tool Wear Issues in Hot Forging of Steel. [PDF]
Krawczyk J +7 more
europepmc +1 more source
Behaviour of polymeric materials in machining [PDF]
The machining characteristics of a glassy thermoplastic (Polyvinyl Chloride) and a semi-crystalline thermoplastic (High Density Polyethylene) have been studied.
Kim, Yong-hwan, Ph.D.
core
Advances in Magnesium‐Based Thermoelectrics: A Critical Review
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang +5 more
wiley +1 more source
Research on Tool Wear Prediction Method Based on CNN-ResNet-CBAM-BiGRU. [PDF]
Sun B, Wang H, Zhang J, Zhang L, Wu X.
europepmc +1 more source

