Recycling coated hardmetal scraps is becoming increasingly important for tungsten resource recovery. However, the coatings in these materials are one of the biggest problems, especially Al-containing coatings. In this study, discarded TiAlN-coated WC-Co hardmetal tool tips were isothermally oxidized at 900 °C in air, during which the final oxide, phase transition and microstructure evolution were investigated. Milled powders below 0.15 mm were completely oxidized in 180 min, and pieces of coatings were found in the final oxides. White WO was mainly distributed on defect-rich areas of oxide scale surfaces. Furthermore, the final oxide scale was triple-layered, mainly consisting of the WO-concentrated outmost layer, the AlO-concentrated middle layer, and the TiO-concentrated inner layer. It is different from the bi-layered AlO/TiO oxide scale that appeared for a new TiAlN-coated hardmetal during an oxidation resistance test. This was attributed to the defects in hardmetal scraps, which provided a fast pathway for element diffusion and volatilization of WO. Consequently, it was impossible to remove AlO completely.
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http://dx.doi.org/10.1039/c8ra09013k | DOI Listing |
ACS Nano
January 2025
Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.
Bismuth oxyselenide (BiOSe) stands as a highly promising layered semiconductor with outstanding optical, electrical, and thermal properties. For the practical application of the material toward the devices, growing BiOSe directly on the amorphous substrate at low temperatures (<400 °C) is essential; however, the negatively charged bottom Se layer originating from alternating stacks of Se and [BiO] has hindered this process. In this work, we report the method for synthesizing a BiOSe film on amorphous alumina (AlO) directly at 350 °C by using chemical solution deposition.
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February 2024
CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200030, China.
Pichia pastoris is a popular yeast host for high-level heterologous expression of proteins on an industrial scale owing to its reliable expression, robust growth, high fermentation density, and easy genetic manipulation and cultivation at a relatively low cost. Of particular interest is its high secretion efficiency for small proteins including insulin, human serum albumin, vaccines, enzymes, and llama-derived heavy-chain only antibodies (nanobodies) for pharmaceutical and research applications. However, a recurring challenge in using P.
View Article and Find Full Text PDFBioengineered
December 2025
Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India.
Polyhydroxyalkanoates (PHA) are bioplastics produced by few bacteria as intracellular lipid inclusions under excess carbon source and nutrient-deprived conditions. These polymers are biodegradable and resemble petroleum-based plastics. The rising environmental concerns have increased the demand for PHA, but the low yield in wild-type bacterial strains limits large-scale production.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Institute for Theoretical Physics, Georg-August University of Göttingen, 37077 Göttingen, Germany.
A Single-Chain-in-Mean-Field (SCMF) algorithm was introduced to study block copolymer electrolytes in nonequilibrium conditions. This method self-consistently combines a particle-based description of the polymer with a generalized diffusion equation for the ionic fluxes, thus exploiting the time scale separation between fast ion motion and the slow polymer relaxation and self-assembly. We apply this computational method to study ion fluxes in electrochemical cells containing poly(ethylene oxide)-polystyrene (PEO-PS) block copolymers with added lithium salt.
View Article and Find Full Text PDFWater Res
January 2025
Department of Chemical Engineering, University of Bath, Claverton Down, Bath BA2 7AY, UK; SWING - Department of Built Environment, Oslo Metropolitan University, St Olavs plass 0130, Oslo, Norway. Electronic address:
Climate resilience in water resource recovery facilities (WRRFs) necessitates improved adaptation to shock-loading conditions and mitigating greenhouse gas emission. Data-driven learning methods are widely utilised in soft-sensors for decision support and process optimization due to their simplicity and high predictive accuracy. However, unlike for mechanistic models, transferring machine-learning-based insights across systems is largely infeasible, which limits communication and knowledge sharing.
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