Results 201 to 210 of about 73,182 (264)

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

Wear mechanism of ceramic tools

Wear, 1993
Abstract Cutting tests were performed using ceramic cutting tools under continuous cutting conditions. The tests were carried out on AISI 1040 steel, with cutting speeds ranging from 5 to 11 m s −1 . The wear mechanism was investigated for both crater and flank.
CASTO SL   +4 more
openaire   +2 more sources

Tool Wear or Tool Design

1975
There are a group of problems which on face value appear to be associated with tool-wear mechanisms, but which, after a careful examination are either design based or metallurgical in their nature.
R. A. Etheridge, A. J. A. Scott
openaire   +1 more source

DIAGNOSIS OF TOOL WEAR WITH A MICROCONTROLLER

IFAC Proceedings Volumes, 2006
Tool wear monitoring is very important for economical reasons. In this paper a very economical solution is presented. The idea is to use easily available microcontroller based hardware, which is very cheap due to mass production. The cheap hardware is combined together with sophisticated software. The use of regression analysis techniques together with
Jantunen Erkki, Vaajoensuu Eero
openaire   +2 more sources

Review on tools and tool wear in EDM

Machining Science and Technology, 2021
Electric discharge machining (EDM) is a nontraditional machining process based on the thermal erosion of the electrically conductive workpiece and tool electrodes.
Deepak Sharma, Somashekhar S. Hiremath
openaire   +1 more source

Thermoelectric wear in tools

Wear, 1973
Abstract Thermoelectric tool wear was measured by the thermocurrent generated in Machine-Tool-Workpiece-Machine (MTWM) circuit. The relationship between thermocurrent and the cutting parameters in the machining of EN 24 steel with a carbide tool and the significance of the influencing parameters are assessed statistically.
H. Bagchi, S.K. Basu
openaire   +1 more source

Tool Design, Tool Wear and Tool Life

2009
Metal cutting is a process of removing material from a workpiece in the form of chips using single- or multi-point cutting tools with a clearly defined geometry. To some extent, the performance of a cutting tool determines the cutting behaviour and the process capability.
Jiwang Yan   +2 more
openaire   +1 more source

Prehensile Wear on Flint Tools

Lithic Technology, 2004
AbstractMicroscopic functional research has mainly been focused on use-wear traces visible on working edges (active tool parts). Non-active parts have been largely neglected, although these parts may also carry traces worth exploring. Not only technological traces, but also prehensile traces can be observed, resulting from hand-held, wrapped or hafted ...
openaire   +2 more sources

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