Results 161 to 170 of about 35,538 (312)
Design and Analysis of Compression–Torsion Coupling Metamaterials Using the Golden Section Method
A novel compression–torsion metamaterial is engineered using inclined rods and symmetry breaking. To optimize its torsional performance, the golden section method is employed. The mechanical response of the metamaterial is validated through both numerical analysis and experimental validation.
Amirhossein Hassani, Sara Bagherifard
wiley +1 more source
Il compressed sensing è una tecnica di risoluzione di un sistema indeterminato di equazioni lineari sotto le ipotesi che la soluzione del sistema sia S-sparsa, ovvero che in un'opportuna rappresentazione abbia al più S elementi non nulli.
Celin, Alberto
core
Active Corrosion Protection of Sintered AA7075 Aluminum Alloy via Mn Powder Addition
AA7075 containing Mn‐rich particles is fabricated via spark plasma sintering using AA7075 and Mn powders. Corrosion resistance is evaluated through dip‐and‐dry tests using 0.1 M NaCl (pH 6.0), and mass loss decreases with increasing Mn addition. Mn‐rich particles function as a source of Mn ions, and formation of Mn‐accumulation films on Cu‐containing ...
Ko Ebina, Masashi Nishimoto, Izumi Muto
wiley +1 more source
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati +11 more
wiley +1 more source
Hybrid Metal–Carbon Ink for Printed Stretchable Temperature Sensors
We prepare conductive inks for temperature sensing with silver flakes and carbon or graphite flakes in a silicone elastomer matrix. Silver dominates the temperature‐dependent conductivity, while the carbon filler network ensures the stability of the conductive pathways and retains function under strain.
Makara Lay +3 more
wiley +1 more source
Functionally graded metal–ceramic femoral stems are engineered through continuous UMAT‐based stiffness tailoring, eliminating discrete material interfaces while enhancing biomechanical compatibility. Low‐index power‐law gradation optimizes load transfer, reduces stress shielding, and controls implant–bone micromotion, highlighting a materials‐design ...
Rihem Nouira, Sameh Elleuch, Hanen Jrad
wiley +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Manufacturing problems such as heat treatment‐induced cracking hinder the widespread application of the laser powder bed fusion (LPBF) process to superalloys. In this study, cracks in the LPBF components of Inconel 738LC superalloy are characterized after heat treatment at various temperature ranges, revealing two distinct cracking behaviors.
Kosuke Kuwabara +4 more
wiley +1 more source
Additive Manufacturing of Alumina‐Reinforced Elastomers
Vat‐photopolymerized elastomers reinforced with platelet‐shaped alumina exhibited preferential orientation, reduced porosity, and significantly enhanced mechanical performance. A 3 wt% platelet loading increased tensile strength from 12.4 to 45.7 MPa, highlighting the critical role of filler morphology in elastomeric VPP composites.
Majid Barzegar Keyvani +6 more
wiley +1 more source
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari +4 more
wiley +1 more source

