Results 41 to 50 of about 12,418 (275)
Physics-inspired machine learning of localized intensive properties
Chemical Science, 2023 A physics-inspired machine learning approach to predicting localized intensive properties in molecules is presented. The new method is applied to predicting orbital energies and localisations in potential organic semiconductors.
Ke Chen +4 more
openaire +3 more sources
International Journal of Electrochemical Science, 2019 In Electrochemical machining sECM), anodic dissolution process is strongly affected by the electrochemical behavior of the target metal. This study aims to improve the counter-rotating electrochemical machining (CRECM) performance of lug boss on Inconel ...
Dengyong Wang, Juchen Zhang
doaj +1 more source
A Novel Approach for Simplification of Industrial Robot Dynamic Model Using Interval Method [PDF]
, 2014 This paper proposes a new approach to simplify the dynamic model of industrial robot by means of interval method. Due to strong nonlinearities, some components of robot dynamic model such as the inertia matrix and the vector of centrifugal, Coriolis and ...
ABBA, Gabriel +2 more
core +4 more sources
WEDM as a Replacement for Grinding in Machining Ceramic Al2O3-TiC Cutting Inserts
Metals, 2021 Small-size cutting inserts for assembly cutters are widely used to manufacture a variety of parts for the aerospace, automotive and mechanical engineering industries.
Sergey N. Grigoriev +4 more
doaj +1 more source
Observations of transient high temperature vortical microstructures in solids during adiabatic shear banding [PDF]
, 2001 By using a unique infrared high-speed camera especially constructed for recording highly transient temperature fields at the microscale, we are able to reveal the spatial and temporal microstructure within dynamically growing shear bands in metals. It is
Guduru, P. R. +2 more
core +1 more source
Information-rich localization microscopy through machine learning [PDF]
Nature Communications, 2018 Abstract Recent years have witnessed the development of single-molecule localization microscopy as a generic tool for sampling diverse biologically relevant information at the super-resolution level. While current approaches often rely on the target-specific alteration of the point spread function to encode the multidimensional ...
Kim, Taehwan, Moon, Seonah, Xu, Ke
openaire +5 more sources
Electrostatic Actuating Bendable Flat Electrode for Micro Electrochemical Machining
Nanotechnology and Precision Engineering, 2018 : In micro-electrochemical machining (μECM), material dissolution takes place at very close vicinity of tool electrode due to localization of electric field. Controlling the gap between tool electrode and workpiece is the key to μECM.
Ruining Huang, Xiaokun Zhu
doaj +1 more source
Applied SciencesIn response to the high missed detection rates and low efficiency of traditional methods in detecting tiny defects on the machining surfaces of mechanical parts, this study proposes an efficient defect detection method based on deep learning.
Haotian Li +3 more
doaj +1 more source
Modelling of the dynamic behaviour of hard-to-machine alloys
EPJ Web of Conferences, 2012 Machining of titanium alloys and nickel based superalloys can be difficult due to their excellent mechanical properties combining high strength, ductility, and excellent overall high temperature performance.
Bäker M. +4 more
doaj +1 more source
Adiabatic Shear Banding in Nickel and Nickel-Based Superalloys: A Review
Metals, 2022 This review paper discusses the formation and propagation of adiabatic shear bands in nickel-based superalloys. The formation of adiabatic shear bands (ASBs) is a unique dynamic phenomenon that typically precedes catastrophic, unpredicted failure in many
Russell A. Rowe +3 more
doaj +1 more source