Results 181 to 190 of about 22,928 (311)
Large-size elemets machining accuracy – technological problems
W artykule przedstawiono czynniki technologiczne determinujące dokładność obróbki elementów, zwłaszcza wielkogabarytowych. Przedstawiono także sposoby aby zminimalizować negatywny wpływ tych czynników na dokładność wymiarową elementów.In the paper there ...
Bromberek, F. +3 more
core
A Study on Accuracy in Hot Machining
Ryoichi ICHIMIYA, Hideaki KAWAHARA
openaire +3 more sources
Editorial for Future Trends in Ultra-Precision Machining. [PDF]
Liu C, Zhang Y, Liang X.
europepmc +1 more source
ABSTRACT Electronic waste has emerged as a major environmental challenge, driven by the massive consumption and a limited lifetime of modern electronic devices, stimulating the development of sustainable electronics. Here, an all‐biomaterial gelatin‐choline‐citric acid ([Ch][CA]) ionogel is developed as an active binder to realize self‐sintered ...
Lin Guo +10 more
wiley +1 more source
New optical sensing system applied to taut wire based straightness measurement
In modern manufacturing industry, precision components are typically produced on Computer Numerical Controlled (CNC) machine tools which translate their accuracy onto machined parts. This accuracy is affected by a set of different motion errors caused by
Borisov, Oleg
core
Towards Ultra-Precision Manufacturing: Advancements and Future Trends in Energy Field-Assisted Jet Machining. [PDF]
He Y, Chen T, Man X, Su T.
europepmc +1 more source
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak +19 more
wiley +1 more source
Experimental investigations on hybrid manufacturing: WEDM of WAAM-fabricated stainless-steel components using ANFIS modelling. [PDF]
Thejasree P +7 more
europepmc +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Physics-guided explainable machine learning for multi-response modeling of electrochemical micro-machining using polymer graphite electrodes. [PDF]
Reddy BVS +5 more
europepmc +1 more source

