NDLI: Self-powering wireless devices for cloud manufacturing applications

Content Provider	Springer Nature Link
Author	Ostasevicius, V. Jurenas, V. Markevicius, V. Gaidys, R. Zilys, M. Cepenas, M. Kizauskiene, L.
Copyright Year	2015
Abstract	Cloud manufacturing will play a significant role in future manufacturing, enabling companies to share resources and equipping them with scalable, flexible as well as cost-efficient manufacturing solutions with cheaper maintenance. With the main focus on cloud manufacturing, this paper aims to propose new devices for monitoring of manufacturing processes. The proposed self-powered wireless devices cover two main groups: rotating and non-rotating cutting tools. The most common rotating tool—mill—and non-rotating one—turning tool—are examined. Energy harvesting from the accelerations of the rotating cutting tool is mostly influenced by the speed of the tool and the number of cutting edges, while energy harvesting from the non-rotating tool is affected by the vibration modes of the tool. A significant difference between these two types of excitation frequencies obliges to use cantilever for energy harvesting from the rotating tool and disc-shaped piezoelectric harvesters for the non-rotating tool. The results of theoretical and experimental studies of the dynamics of these harvesters show an effective way for approaching their natural frequencies to the resonant frequencies of the cutting tools. The amplitude-frequency analysis of vibrations of the tool could be useful for the technological process monitoring as well as for the evaluation of machine tool state. Vibration and acoustic signal analysis using fast Fourier transform (FFT) enables to identify the level of tool wear and, moreover, the mode of tool fixture and technical state of the spindle. As the intensity of energy accumulation depends on the state of the cutting tool wear, it indicates and detects the tool condition. The voltage generated from the cutting tool vibrations of the harvester exponentially rises till the capacitor is fully charged and a wireless signal is sent to the receiver. All the proposed technique and methods are inseparable from cloud manufacturing technologies.
Starting Page	1937
Ending Page	1950
Page Count	14
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	83
Issue Number	9-12
e-ISSN	14333015
Language	English
Publisher	Springer London
Publisher Date	2015-08-22
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Turning tool Milling tool Vibrations Energy harvesting Wireless transmission Industrial and Production Engineering Production Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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Self-powering wireless devices for cloud manufacturing applications

Monitoring the condition of the cutting tool using self-powering wireless sensor technologies

Displacements analysis of self-excited vibrations in turning

Self-excited vibrations in turning: cutting moment analysis

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In-process tool-failure detection by means of AR models

Development and evaluation of a three-component micro-cutting force wireless measurement apparatus and method in turning-milling compound machining

Using spindle noise to monitor tool wear in a turning process

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Self-powering wireless devices for cloud manufacturing applications

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