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Machinability

1977
Publisher Summary Machining behavior is complex, and is not easily or meaningfully evaluated by a single measurement. This chapter describes machinability. Despite the lack of a universal metric, “machinability” can be assessed on the basis of criteria such as: tool life, limiting rate of metal removal, cutting forces, surface finish, and chip shape ...
Edward M. Trent, Paul K. Wright
openaire   +4 more sources

Machine-to-Machine Communication

IEEE Software, 2014
Although wireless communication is integral to our daily lives, there are numerous crucial questions related to coverage, energy consumption, reliability, and security when it comes to industrial deployment. The authors provide an overview of wireless machine-to-machine (M2M) technologies in the context of a smart factory.
Jan Philipp Schmidt   +2 more
openaire   +1 more source

Machine Translation For Machines

2021
Traditionally, Machine Translation (MT) systems are developed by targeting fluency (i.e. output grammaticality) and adequacy (i.e. semantic equivalence with the source text) criteria that reflect the needs of human end-users. However, recent advancements in Natural Language Processing (NLP) and the introduction of NLP tools in commercial services have ...
openaire   +2 more sources

Communication in machine-to-machine environments

Proceedings of the Fifth Balkan Conference in Informatics, 2012
It has been estimated that by the end of 2020 there will be 50 billion connected devices in Machine-to-Machine (M2M) networks. Such projections should encourage us to deal with the corresponding problems in heterogeneous M2M systems. First of all, devices can communicate through different access technologies (e.g.
Iva Bojic   +5 more
openaire   +4 more sources

Paper Machines

Philosophia Mathematica, 1995
Daniele Mundici and Wilfred Sieg. Paper Machines.
MUNDICI, DANIELE, W. Sieg
openaire   +2 more sources

Nanofluids application in machining: a comprehensive review

The International Journal of Advanced Manufacturing Technology, 2023
Xiaoming Wang   +12 more
semanticscholar   +1 more source

Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review

Journal of Intelligent Manufacturing, 2022
D. Pimenov   +5 more
semanticscholar   +1 more source

A review on deep learning in machining and tool monitoring: methods, opportunities, and challenges

The International Journal of Advanced Manufacturing Technology, 2021
Vahid Nasir, F. Sassani
semanticscholar   +1 more source

Machinability of titanium alloy through electric discharge machining

Materials and Manufacturing Processes, 2018
Titanium alloy (Ti-6Al-4V), being considered as hard-to-machine material, offers many challenges especially during conventional machining. Electric discharge machining could be a good option if it offers a good match between material removal rate and ...
Naveed Ahmed   +4 more
semanticscholar   +1 more source

A Comprehensive Review on Machining of Titanium Alloys

The Arabian journal for science and engineering, 2021
M. Hourmand   +3 more
semanticscholar   +1 more source

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