Results 191 to 200 of about 193,234 (311)
Microstructural evolution of premium rail steel during flash butt welding (FBW), comparing physically simulated heat‐affected zones with actual weld regions. Thermal cycles induce phase transformations and microstructural heterogeneity that influence weld quality and mechanical performance. These findings provide insights into optimizing FBW parameters
Emmanoelle Cintra da Cunha Araújo +15 more
wiley +1 more source
The enigma of molar root-incisor malformation: A rare case report and clinical insight. [PDF]
Hasija MK +4 more
europepmc +1 more source
Accelerated in situ formation of TiB and TiC in Ti–5Al–2.5Sn–B4C is driven by transient liquid phase formation, which enhances particle reactions and microstructural evolution. This process increases hardness and establishes a coupled relationship between sintering temperature and reinforcement content, strongly influencing porosity in the resulting ...
Fernando. Y. Kojima, Juliano. Soyama
wiley +1 more source
Genetic analysis of a family with ZBTB18-related intellectual disability: Report of a rare case
Mengling Chen +3 more
doaj +1 more source
Particle morphology controls the balance between printability and electrical connectivity in low‐temperature AgCu/Ag metallization pastes. Flake‐shaped AgCu particles form extended low‐resistance contacts, whereas spherical particles favor processability at high metal loading. Fine Ag particles further tune void filling and conductive‐network formation
O. Mhirsi +3 more
wiley +1 more source
The present work reports the microstructural, mechanical, and texture evolution of a dissimilar combination laser‐welded maraging steel with 4340 steel. This is important for aerospace applications. The demand for dissimilar welding is growing rapidly with the requirement of efficient and durable joints.
Bharat Behl +3 more
wiley +1 more source
Primary intimal sarcoma of the left atrium: Report of a rare case
Qingtao Wang +3 more
doaj +1 more source
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad +8 more
wiley +1 more source

