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Laser metal deposition is a rapidly evolving method for additive manufacturing that combines high performance and simplified production routine. Quality of production depends on an instrumental design and operational parameters, which require constant control during the process. In this work, feasibility of using optical spectroscopy as a control method is studied via modeling and experimentally. A simplified thermal model is developed based on the time-dependent diffusion-conduction heat equation and geometrical light collection into detection optics. Intense light emitted by a laser-heated spot moving across a sample surface is collected and processed to yield the temperature and other temperature-related parameters. In the presence of surface defects, the temperature field is distorted in a specific manner that depends on shape and size of the defect. Optical signals produced by such the distorted temperature fields are simulated and verified experimentally using a 3D metal printer and a sample with artificially carved defects. Three quantities are tested as possible metrics for monitoring the process: temperature, integral intensity, and correlation coefficient. The shapes of the simulated signals qualitatively agree with the experimental signals; this allows for a cautious inference that optical spectroscopy can detect surface defects and, possibly, predict their characters, e.g., inner or protruding.
Additive manufacturing by laser metal deposition (LMD) requires continuous online monitoring to ensure quality of printed parts. Optical emission spectroscopy (OES) is proposed for the online detection of printing defects by monitoring minute variations in the temperature of a printed spot during laser scan. A two-lens optical system is attached to a moving laser head and focused on a molten pool created on a substrate during LMD. The light emitted by the pool is collected by an ultraviolet–visible (UV–vis) spectrometer and processed.
Two metrics are used to monitor variations in the surface temperature: the spectrally integrated emission intensity and correlation coefficient. The variations in the temperature are introduced by artificial defects, shallow grooves, and holes of various widths and diameters carved on a substrate surface. The metrics show sufficient sensitivity for revealing the surface defects, except for the smallest
holes with an under-millimeter diameter. Additionally, numeric simulations are carried out for the detection of emission in the UV–vis and near-infrared (NIR) spectral ranges at various surface temperatures. It is concluded that both the metrics perform better in the NIR range. In general, this work demonstrates that spectrally resolved OES suits well for monitoring surface defects during 3D metal
printing.
Laser metal deposition is a rapidly evolving method for additive manufacturing that combines high performance and simplified production routine. Quality of production depends on instrumental design and operational parameters that require constant control during the process. In this work, feasibility of using optical spectroscopy as a control method is studied via modeling and experimentally. A simplified thermal model is developed based on the time-dependent diffusion-conduction heat equation and geometrical light collection into detection optics. Intense light emitted by a laser-heated spot moving across a sample surface is collected and processed to yield the temperature and other temperature-related parameters. In a presence of surface defects the temperature field is distorted in a specific manner that depends on a shape and size of the defect. Optical signals produced by such the distorted temperature fields are simulated and verified experimentally using a 3D metal printer and a sample with artificially carved defects. Three quantities are tested as possible metrics for process monitoring: temperature, integral intensity, and correlation coefficient. The shapes of the simulated signals qualitatively agree with the experimental signals; this allows a cautious inference that optical spectroscopy is capable of detecting a defect and, possibly, predicting its character, e.g. inner or protruding.
Laser metal deposition is a rapidly evolving method for additive manufacturing that combines high performance and simplified production routine. Quality of production depends on instrumental design and operational parameters that require constant control during the process. In this work, feasibility of using optical spectroscopy as a control method is studied via modeling and experimentally. A simplified thermal model is developed based on the time-dependent diffusion-conduction heat equation and geometrical light collection into detection optics. Intense light emitted by a laser-heated spot moving across a sample surface is collected and processed to yield the temperature and other temperature-related parameters. In a presence of surface defects the temperature field is distorted in a specific manner that depends on a shape and size of the defect. Optical signals produced by such the distorted temperature fields are simulated and verified experimentally using a 3D metal printer and a sample with artificially carved defects. Three quantities are tested as possible metrics for process monitoring: temperature, integral intensity, and correlation coefficient. The shapes of the simulated signals qualitatively agree with the experimental signals; this allows a cautious inference that optical spectroscopy is capable of detecting a defect and, possibly, predicting its character, e.g. inner or protruding.
Current interest in hydrogen gas as an energy source is growing due to its attractive properties such as high chemical energy density and the fact that its combustion produces water as by-product, qualifying this gas as an appealing clean energy source. In particular, the use of molecular hydrogen in automotive applications such as the hydrogen internal combustion engine (HICE) or hydrogen fuel cells is an excellent clean alternative.
Despite these promising opportunities, hydrogen gas has a distinct disadvantage as an everyday energy medium, that is, it is highly flammable. Hydrogen processing apparatuses should therefore be constantly monitored so that leaks are immediately detected. The implementation of direct sensing systems for H2(g) is thus a decisive factor for its application and acceptance as a clean energy source. Because the automotive market alone is already a mass market, these sensors do not only have to be reliable, robust and dimensionally small, but operation has to be simple and the device itself cost-effective. In addition, very low detection limits are a must as already escape of small quantities of H2(g) is directly related to public health and safety. Besides electrochemical or semiconductor sensors, optical sensors are especially appealing because the equipment is usually simple and accessible, easily miniaturized and measurements can be performed in situ and in real time.
If one cannot rely for instance on metallic palladium as interacting matrix, a major challenge for optochemical hydrogen sensors is to find a suitable material that fulfils all the requirements mentioned above and undergoes a dedicated indication reaction with H2(g). One such alternative can be Metal-Organic Frameworks (MOFs) which constitute a predefined, organized, mesoporous structure built up from metal ions and organic bridging ligands. With a myriad of building blocks being available, MOFs can be equipped with internal H2 reception sites that shall allow for selective and sensitive indication. For instance, if Pd ions are implemented in such a way that they express open metal sites (OMS), these OMS shall possess a strong affinity for hydrogen. If light absorbing and emitting organic ligands are additionally chosen, luminescent MOFs (LMOFs) can result that are perfect candidates for optical sensors, as changes at the analyte reception site can be effectively transduced into a measurable signal.
In this contribution, we intended to discuss the development of a new luminescent sensor material for the detection of the highly flammable H2(g). This sensor material is based on an LMOF assembled from Pd(II) and aromatic bridging ligands, the advent of hydrogen at the OMS in the LMOF producing distinct variations in the material’s optical properties.
A strongly fluorescent organic semiconducting polymer doped with a highly
temperature dependent fluorescent europium(III) complex is converted into a
nanosized material that is capable of optically sensing temperature (T) in the
range from 0 to 50 °C via two-photon excitation at 720 nm. The nanosensors
are prepared from a blue-fluorescent polyfluorene that acts as both a lightharvesting
antenna (to capture two-photon energy) and an energy donor in a
fluorescence resonance energy transfer (FRET) system. The photonic energy
absorbed by the polymer is transferred to the T-sensitive red-luminescent
europium complex contained in the nanoparticles. The close spatial proximity
of the donor and the acceptor warrants efficient FRET. A poly(ethylene glycol)-
co-poly(propylene oxide) block copolymer is also added to render the particles
biocompatible. It is shown that T can be calculated from a) the intensity of
the luminescence of the europium complex, b) the ratio of the intensities of
the red and blue luminescence, or c) the T-dependent luminescence lifetime
of the Eu(III) complex.
For patients under Magnetic Resonance Imaging (MRI) spontaneous respiration is constantly at risk of being impaired by anesthetic drugs or by upper airway obstruction. Therefore, continuous monitoring of the breathing activity is needed to assess adequate ventilation or to detect specific obstruction patterns. The paper describes three MRI compatible respiration sensors based on pure optical technologies developed within the EU FP6 project OFSETH. The sensors are based on fiber Bragg gratings, optical time-domain reflectometry and macrobending effects. The developed smart medical textiles can sense elongation up to 3% while maintaining the stretching properties of the textile substrates for patient's comfort. The OFSETH harness allows a continuous measurement of abdominal and thoracic respiration movement while all vitals organs are free for medical staff actions. The sensors were tested in MRI environment and on healthy adults.
The potential impact of optical fiber sensors embedded into medical textiles for the continuous monitoring of the patient during Magnetic Resonance Imaging (MRI) is now proved. We report how two pure optical technologies can successfully sense textile elongation between, 0% and 3%, while maintaining the stretching properties of the textile substrates for a good comfort of the patient. Investigating influence of different patients' morphology as well as textile integration issues to let free all vitals organs for medical staff actions, the OFSETH harness allows a continuous measurement of respiration movements. For example, anaesthesia for MRI examination uses the same drugs as for any surgical procedure. Even if spontaneous respiration can be preserved most of the time, spontaneous respiration is constantly at risk of being impaired by anaesthetic drugs or by upper airway obstruction. Monitoring of the breathing activity is needed to assess adequate ventilation or to detect specific obstruction patterns. Moreover artefacts due to physiological motions induce a blooming effect on the MRI result. The use of synchronisation devices allows reducing these effects. Positioned at certain strategic places according to the investigated organ, the presented sensors could constitute an efficient and adapted solution for respiratory synchronisation of the MRI acquisition.