Laser Microstructuring of Polymer Optical Fibres for Enhanced and Autonomous Sensor Architectures

Αθανασέκος, Λουκάς; Dimas, D.; Katsikas, Serafeim; Pispas, Stergios; Vainos, N.A.; Boucouvalas, Anthony C.; Riziotis, Christos

doi:10.1016/j.proeng.2011.12.394

Cited by 5 publications

(6 citation statements)

References 5 publications

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“…The selection of large core optical fibers allows the use of low power light sources and photodetectors that could be integrated in the sensing unit with low power requirements. Initially a lab prototype of a Fiber Optic Driver Circuit Board (FODCB) [7] supplied by 2 AA batteries (3 V in total), for the integration of the LED source (1000 microwatts output optical power at 650 nm) and a phototransistor was developed, as shown in Figure 12.…”

Section: Resultsmentioning

confidence: 99%

“…Photonics technology is currently a quite favorable solution for the development of environmentally robust sensors [2] with operational safe characteristics, even in demanding explosive or flammable environments [4] and which also exhibit electromagnetic interference immunity (EMI), crucial to a number of industrial applications. Certain photonics technologies [5] mainly focused on large core optical fibers, have demonstrated some unique characteristics such as low cost, easy handling, compatibility with inexpensive transceivers, and also compatibility for easy and rapid customization [6,7]. Combining such low cost fibers functionalized with sensitive materials [8,9] is a realistic way for the development of reliable yet affordable sensing heads that could be employed as reusable or disposable sensors.…”

Section: Introductionmentioning

confidence: 99%

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Characterization of Industrial Coolant Fluids and Continuous Ageing Monitoring by Wireless Node—Enabled Fiber Optic Sensors

Sachat

Meristoudi

Markos

et al. 2017

Sensors

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Environmentally robust chemical sensors for monitoring industrial processes or infrastructures are lately becoming important devices in industry. Low complexity and wireless enabled characteristics can offer the required flexibility for sensor deployment in adaptable sensing networks for continuous monitoring and management of industrial assets. Here are presented the design, development and operation of a class of low cost photonic sensors for monitoring the ageing process and the operational characteristics of coolant fluids used in an industrial heavy machinery infrastructure. The chemical, physical and spectroscopic characteristics of specific industrial-grade coolant fluids were analyzed along their entire life cycle range, and proper parameters for their efficient monitoring were identified. Based on multimode polymer or silica optical fibers, wide range (3–11) pH sensors were developed by employing sol-gel derived pH sensitive coatings. The performances of the developed sensors were characterized and compared, towards their coolants’ ageing monitoring capability, proving their efficiency in such a demanding application scenario and harsh industrial environment. The operating characteristics of this type of sensors allowed their integration in an autonomous wireless sensing node, thus enabling the future use of the demonstrated platform in wireless sensor networks for a variety of industrial and environmental monitoring applications.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Characterization of Industrial Coolant Fluids and Continuous Ageing Monitoring by Wireless Node—Enabled Fiber Optic Sensors

Sachat

Meristoudi

Markos

et al. 2017

Sensors

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“…Selection of proper materials can produce highly customizable POF sensors for a variety of applications in chemical and biochemical detection covering industrial needs of process monitoring in food or pharmaceutical industry. Modern laser micromachining techniques [21] can accurately process POFs surface forming suitable features that can act as hosting cavities for efficient functionalisation [22,23] of POFs' with sensitive materials. Figure 7 shows the development of POF sensor heads with sensitive overlayers and the development of a laser-induced sensing window on a POF.…”

Section: Pilot Testingmentioning

confidence: 99%

Wireless Condition Monitoring Integrating Smart Computing and Optical Sensor Technologies

Emmanouilidis

Riziotis

2014

Lecture Notes in Mechanical Engineering

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Condition monitoring is increasingly benefitting from the application of emerging technologies, such as mobile computing and wireless sensors, including photonics sensors. The latter can be applicable to diverse application needs, due to their versatility, low costs, installation and operational flexibility, as well as unique safety and reliable operation characteristics in real industrial environments of excessive electromagnetic interference and noise. Coupling the monitoring flexibility offered by photonics technologies, with the data transmission flexibility of wireless networking provides opportunities to develop hybrid wireless sensor solutions, incorporating optical sensors into wireless condition monitoring architectures. This paper presents ongoing work within an integrated architecture for condition monitoring and maintenance management support, exploiting the added value of optical technology, inherently safe with respect to electromagnetic compatibility. The reported results are part of a collaborative project involving technology providers in wireless sensor networking, embedded systems and maintenance engineering, as well as research organizations active on photonics technologies and informatics for wireless and intelligence-enabled engineering asset management. The industrial test cases are from a lifts manufacturing industry, focusing on both production facilities assets, as well as on the end-product. The photonic platform of plastic optical fibers was selected due to its versatility and suitability for rapid customization and prototyping. The platform can serve diverse sensing and monitoring needs, ranging from physical parameters as strain and displacement in machinery parts, to chemical and biochemical monitoring of industrial-grade coolants' aging. Use of novel nanostructured optical materials together with laser-based micromachining techniques enabled the functional enhancement through rapid prototyping of optical fiber devices towards highly

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“…The SENSE-MI (Sensor Embedded Maintenance Intelligence) Subsystem is populated by components responsible for handling, accessing and computationally utilizing the WelCOM's sensor nodes and a prototype Wireless Optical Sensor (WOS) [2]. These components operate to serve the node's smart behavior through a range of modeling tasks (sample pre-processing, novelty detection).…”

Section: Maximizing the Efficiency Of Domain Feature Integrationmentioning

confidence: 99%

E-Learning and Context Aware e-Support Software for Maintenance

Papathanasiou

Emmanouilidis

Pistofidis

et al. 2012

J. Phys.: Conf. Ser.

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Industrial Maintenance is seeking to enhance the efficiency of asset usage according to multiple criteria and constraints. Its implementation is facilitated by the application of a range of enabling technologies, termed in this context as e-Maintenance. Integrated e-Maintenance solutions can support a multitude of industrial maintenance procedures, from toplevel management to low-level machinery technical issues. The level of complexity in these procedures varies greatly and requires a multidisciplinary level of skills from the involved personnel. Therefore, e-Maintenance applications can benefit from incorporating e-Learning and e-Support solutions. E-Learning can be an effective training method for maintenance, by providing cost effective, location-independent and easily updated training content. E-Support can be employed to provide technical staff with contextualized information and services in order to aid them with their assigned tasks. The WelCOM e-Maintenance architecture offers a framework that combines a networked infrastructure of intelligent wireless sensors, and a toolset of maintenance support services, linked to a CMMS. In this setting, one of the objectives is to integrate e-Learning in the form of web-based training modules and e-Support, by providing ubiquitous help through mobile devices to technical staff. The web-based learning is tailored to condition monitoring tasks, whereas the e-Support is planned to include instructions, videos, manuals or technical reports, all specially formatted to be delivered by a mobile device (tablet), exploiting its graphic, storage and networking capabilities. In this way, we aim for a smooth acceptance of the new e-Maintenance system, by providing easily accessible and context-depended support for maintenance personnel.

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Laser Microstructuring of Polymer Optical Fibres for Enhanced and Autonomous Sensor Architectures

Cited by 5 publications

References 5 publications

Characterization of Industrial Coolant Fluids and Continuous Ageing Monitoring by Wireless Node—Enabled Fiber Optic Sensors

Characterization of Industrial Coolant Fluids and Continuous Ageing Monitoring by Wireless Node—Enabled Fiber Optic Sensors

Wireless Condition Monitoring Integrating Smart Computing and Optical Sensor Technologies

E-Learning and Context Aware e-Support Software for Maintenance

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