Results 111 to 120 of about 1,517,422 (274)

Modelling and passive correction investigation of vibration induced machining errors on CNC machine tools [PDF]

Machine tool vibration is a complex subject requiring a multi-disciplinary approach involving the identification and analysis of the vibration sources and characteristics, as well as its direct and indirect effects. Machine tool vibration is influenced
Widiyarto, Muhammad Helmi Nur
core   +4 more sources

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

Advanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald, Hiroki Tomita, Giacomo Cotelli, Louka L. Brüll, Nanno G. de Rooij, Lucas R.L. Norg, Milo Clément, Reinder Coehoorn   +7 more
wiley   +1 more source

Challenges and control strategies for disrupting passive oxide layer formation in electrochemical machining

Journal of Electrochemical Science and Engineering
Electrochemical machining (ECM) is a non-traditional, precision machining process involving the removal of material through anodic dissolution. It is commonly utilized for machining complex geometries in conductive materials, especially in aerospace ...
Ritesh Kumar Upadhyay
doaj   +1 more source

Evaluation of process stability in precise electrochemical machining using machine learning models based on extracted features

Procedia CIRP
17. CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME ‘23, Naples, Italy, 12 Jul 2023 - 14 Jul 2023; Procedia CIRP 126, 498-503 (2024). doi:10.1016/j.procir.2024.08.408 special issue: "17th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME ‘23) / edited by Roberto Teti (Prof.)"
Tchoupe Sambou, Elio, Heidemanns, Lukas Franz, Küpper, Ugur, Klink, Andreas, Herrig, Tim, Bergs, Thomas   +5 more
openaire   +2 more sources

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
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, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Sustainable Poly(Lactic Acid)/Graphene Oxide Bioelectronic Platform for Neurotransmitters Sensing and Tunable Stimulation of Astrocytes

Advanced Materials, EarlyView.
This work introduces sustainable PLA/graphene oxide bioelectronic interfaces featuring electrodes with tunable conductivity and strong electrocatalytic performance. These platforms were used to implement a new method for tuning astrocyte Ca2+ signaling and for the efficient detection of key biomarkers.
Alessandra Scidà, Giulia Cazzador, Roberta Fabbri, Matteo Calosi, Alessandro Silvestri, Andrea Candini, Fabiola Liscio, Franco Corticelli, Aikaterini Konstantoulaki, Andrea D'Iorio, Marco Caprini, Vincenzo Palermo, Monica Bertoldo, Valentina Benfenati, Chiara Zanardi, Emanuele Treossi   +15 more
wiley   +1 more source

A data-driven approach for predicting time to short-circuit in precise electrochemical machining

Precise electrochemical machining (PECM) is employed in the manufacturing chain of various aero engine components to achieve higher surface quality and improved form accuracy. This method has shown significant advantages over direct current electrochemical machining (ECM) in its ability to provide valuable insights into working gap conditions through ...
Tchoupe Sambou, Elio, Yang, Zhiyu, Petersen, Timm, Herrig, Tim, Klink, Andreas, Bergs, Thomas   +5 more
openaire   +2 more sources

Machine learning approach using electrochemical immunosensor data for precise classification of Opisthorchis viverrini infection

Scientific Reports
Opisthorchiasis, a major foodborne parasitic zoonotic disease in Thailand and neighboring countries, is caused by the carcinogenic liver fluke Opisthorchis viverrini (OV). Accurate classification of OV infection is critical for timely intervention and public health management.
Aye, Nang Noon Shean, Daduang, Sakda, Tippayawat, Patcharaporn, Techasen, Anchalee, Maraming, Pornsuda, Sithithaworn, Paiboon, Phatthanakun, Rungrueang, Daduang, Jureerut   +7 more
openaire   +2 more sources

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Comprehensive Experimental Analysis of Electrochemical Jet Machining (ECJM) for Advanced Material Processing

Journal of Manufacturing and Materials Processing
This study examines the capabilities and optimisation of electrochemical jet machining (ECJM), a component of the electrochemical machining (ECM) production chain.
Shailesh Shirguppikar, Aleksandar Ašonja, Eleonora Desnica, Vaibhav Ganachari, Pankaj B. Gavali, Lakshmanan Selvarajan, Blaža Stojanović   +6 more
doaj   +1 more source