Results 101 to 110 of about 85,118 (311)

Eco‐Efficient Processing and Refining Routes for Secondary Raw Materials from Silicon Ingot and Wafer Manufacturing

Advanced Energy and Sustainability Research, EarlyView.
The ICARUS project developed pilot‐scale processes to recover and refine secondary raw materials from silicon photovoltaic (PV) ingot and wafer manufacturing waste. Silicon kerf, graphite, and silica residues are purified into high‐value inputs for the PV value chain and beyond.
Martin Bellmann, Berhane Darsene Dimd, Anne‐Karin Søiland, Arne Dahle, C. Landaas, Victorien Iwaszko, Rene Peche, Wolfram Palitzsch, Philippe Lenain, Iratxe de Meatza, Theodora Kyratsi, Liu Huiping, Emanuele Milani, Guy Chichignoud, Stefan Fischer, Almut Schwenke, Eirik Nordboe, Marco Pieterse, Roland Riva   +18 more
wiley   +1 more source

Assessing bankruptcy risk for Romanian metallurgical companies

Metalurgija, 2014
In this paper it propose to evaluate the bankruptcy risk of the companies which operate within the Romanian metallurgy industry, over the period 2001-2012, highlighting the impact of financial crisis on this sector.
S.N. Borlea, M.V. Achim
doaj  

Restricting Copper Reconstruction with Ultrathin Polydopamine for Selective and Stable Electrochemical CO2 Reduction Reaction to C2 Products

Advanced Energy and Sustainability Research, EarlyView.
An ultrathin polydopamine coating on copper microcubes mitigates the surface reconstruction during EC‐CO2RR. Copper nanocubes form on the surface of the microcubes in the early stages of the EC‐CO2RR, contributing to suppressed surface reconstruction and sustained Faradaic efficiency for C2 products.
Omran Moradlou, Mohammad Qorbani, Amr Sabbah, Varad Modak, Mengstu Etay Ashebir, Osama Nasr, Chih‐Yang Huang, Fadila Arum Ramadani, Chen‐Hao Wang, Heng‐Liang Wu, Li‐Chyong Chen, Kuei‐Hsien Chen   +11 more
wiley   +1 more source

INTELLIGENT FLOWMETERS FOR METALLURGICAL INDUSTRY [PDF]

METAL Conference Proeedings, 2021
Ondřej KOZINSKI, Miroslav KLUS, Jan BŘEZINA   +2 more
openaire   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Statistical Analysis and Prediction of Fatal Accidents in the Metallurgical Industry in China. [PDF]

Int J Environ Res Public Health, 2020
Xu Q, Xu K.
europepmc   +1 more source

Bioconvection Darcy–Forchheimer Flow of Ree‐Eyring Nanofluid Over a Riga Plate With Arrhenius Activation Energy and Viscous Dissipation

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This work examines the intricate interactions of heat radiation, viscous dissipation, the Cattaneo–Christov thermal model, gyrotactic microorganisms, Arrhenius activation energy, and Darcy–Forchheimer flow affecting Ree‐Eyring nanofluid behavior across a Riga plate.
M. Vinodkumar Reddy, V. Sivaramakrishna, Jintu Mani Nath, V. V. L. Deepthi, Bamdeb Dey   +4 more
wiley   +1 more source

A Novel Deep Temporal Feature Enhanced Just‐in‐Time Learning Framework for Predicting Rare Earth Component Content

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang, Liangfang Liao, Chunfa Liao, Hui Zhang, Tao Qi, Rongxiu Lu, Wenhao Dai   +6 more
wiley   +1 more source

How transition led to internationalization? [PDF]

Since 2002 Russian metallurgical firms have been investing abroad. Taking advantage of the very positive economic climate in the sector, they settle in peripheral as well as in core countries of the world economy. Russia has upgraded from the 50th to the
Cédric Durand
core  

Oxygen application to chloride leaching of complex sulfide ores [PDF]

, 1987
The study investigates leaching of complex sulfide ores with simultaneous regeneration of the leaching solution and removal of dissolved iron to balance the iron concentration in the leaching process.
Chou, Kuo Tung
core