Browse Topic: Spectroscopy

Items (647)
The development of remote tower systems in aviation and the resurgence of multi-display interfaces and virtual environments have dramatically influenced ATC, increasing both controllers’ visual demands and their ergonomic needs. This study uses the Visual Ergonomics to study the impact of screen luminance level, along with color temperature, on trainees’ visual performance, fatigue, and physical discomfort in the control rooms of the Remote Tower. By combining a simulated remote control system with spectrometer measurements, PVT alertness tests, VMT (Visual Memory Test) measurements, and subjective evaluations, COST B21 can build up a multi-dimensional ergonomic assessment framework. Eight levels of display luminance (and color temperature) were tested, including two illuminance levels (300 lx and 400 lx) and four color temperature ranges (6000 K–9000 K). Using the Analytic Hierarchy Process (AHP), these parameters were assigned weights to derive a Visual Ergonomics (VE) scoring model, and the ideal visual performance was observed at 400 lx illuminance and 8000 K CCT. The results clearly illustrate the significant impact of display parameters on operational performance in remote tower systems and provide both practical data and a theoretical basis for the human factors design and fatigue reduction research on RTSs.
Zhong, LinfengHu, RuohuiLuo, PeilinZuo, QinghaiZhong, QingweiAi, Yi
To measure the fuel proportion within the lubricant film, an in-situ Raman spectroscopy technique was employed in a specially modified single-cylinder direct-injection spark-ignition engine. The engine block was engineered for optical access with a fused silica window, enabling a focused laser beam to probe the lubricant film on the engine liner under motoring conditions. The lubricant used was GTL8 base oil with ZDDP additive, and iso-octane was injected as a model fuel to study fuel-lubricant mixing. A calibration curve was established by recording Raman spectra of known mixtures of GTL8 oil and iso-octane. The Raman intensity ratio of the iso-octane peak to the oil peak was used as a quantitative indicator of fuel concentration. During engine operation, Raman spectra were acquired in real time, on a cycle-by-cycle basis, through the optical window. Upon iso-octane injection, its characteristic Raman peak appeared in the spectrum, and the intensity ratio was referenced against the calibration curve to estimate the fuel proportion within the lubricant film. Experimental results demonstrated that the iso-octane signal could be detected during and after injection and this allowed for real-time monitoring of fuel dilution dynamics. The main challenge encountered was high fluorescence from oil, which sometimes obscured the Raman peaks and complicated quantification. Despite this, the technique successfully demonstrated the feasibility of direct, in-situ, and real-time quantification of fuel dilution in engine lubricant films, providing a valuable tool for studying fuel-lubricant interactions under operating engine conditions.
Bolle, BastienAugoye, KobiWong, JanetAleiferis, PavlosHall, JonathanBassett, MikeCracknell, Roger
This study aimed to develop a thermally conductive TPE mat and assess its performance in comparison to an existing antiskid rubber mat, specifically evaluating its impact on wireless charger efficiency. Moreover, morphological and thermal analyses were conducted to establish a correlation between the material behaviours of the new and current thermally conductive antiskid mats. The process of developing the thermally conductive TPE involved utilizing a two-roll mill followed by compression moulding to achieve a 2D sheet shape. Notably, the thermally conductive mat demonstrated a consistent enhancement in charging efficiency over the conventional antiskid mat. To examine the thermal characteristics, thermal characterization techniques including DSC and TGA were employed for both the existing and newly developed mats. FTIR spectroscopy was also utilized to confirm the presence of organic functional groups within the mat. The morphological analysis of the fillers used to enhance thermal conductivity was conducted through SEM. The resulting insights contributed to understanding the structural changes that contributed to the improved thermal performance. Subsequently, the developed thermally conductive mat sheet was evaluated in the context of wireless charger performance. The findings and implications of these evaluations were thoroughly discussed. In summary, this research successfully developed a thermally conductive TPE mat and highlighted its superior performance in terms of wireless charging efficiency compared to the traditional antiskid mat. Thermal and morphological analyses provided deeper insights into the material properties, while the evaluation of the mat's impact on wireless charger performance demonstrated its practical significance.
Naikwadi, Amol TarachandMali, ManojPatil, BhushanTata, Srikanth
Nitrile Butadiene Rubber (NBR), known for its superior resistance to hydrocarbon oil, low gas permeability, and excellent thermal stability, finds extensive use in seals, O-rings, conveyor belts etc. Importantly, these performance attributes are chiefly governed by acrylonitrile content in NBR. Analytical characterization of raw NBR is relatively straightforward using conventional techniques such as elemental analysis (CHNS) and liquid state 13C NMR. In contrast, the analysis of vulcanized NBR presents considerable challenges due to its crosslinked structure, which renders it insoluble in most organic and inorganic solvents, thereby restricting direct molecular-level analysis. While solid-state 13C NMR is an established technique for structural characterization in rubber vulcanizates, its high-cost curbs routine industrial analysis. In this study, Pyrolysis-Gas Chromatography-Mass Spectrometry (Py-GC-MS) technique has been explored as a robust, precise, cost-effective alternative. Quantitative determination of acrylonitrile (ACN) content in vulcanized NBR, covering a compositional range of 15% to 52% is carried out using Py-GC-MS. For sequence distribution of ACN units, liquid-state 13C NMR, is utilized exclusively for soluble, uncured NBR. The absolute ACN content values thus obtained serve as reference standards for validating the Py-GC-MS method, enabling robust quantification across both raw and cured material forms.
Samanta, RajyasreeGhosh, DebojitAnjana, KanhaiyaSen, AmitGuria, BiswanathChanda, JagannathSamui, BarunGhosh, PrasenjitMukhopadhyay, Rabindra
Given the promising prospects of retired lithium-ion batteries in second-life utilization, enhancing their consistency through a rational sorting process has become a pressing priority. Traditional capacity-based sorting methods have significant limitations as it takes high time costs and fails to provide internal dynamic information about the batteries. To address this, the present study introduces a novel approach by incorporating electrochemical impedance spectroscopy (EIS) into the sorting process. Firstly, principal component analysis (PCA) analysis is applied to extract the first principal component from the EIS data, which has a strong correlation with battery capacity. It serves as a key feature for assessing the residual value of retired batteries. Accurate estimation of battery capacity is then achieved using a simple linear equation: For retired nickel-cobalt-manganese (NCM) batteries, the mean absolute percentage error (MAPE) and root mean squared percentage error (RMSPE) for estimated capacity are 3.12% and 4.49%, respectively. While for retired lithium iron phosphate (LFP) batteries, the values are 4.47% and 6.16%. To characterize the differences in internal states among various batteries, distribution of relaxation time (DRT) is employed to analyze the electrochemical processes within the EIS. The similarity of the DRT curves is then calculated using the dynamic time programming (DTW) algorithm. Subsequently, the DRT curve similarity that indicates internal state is combined with external indicators, including estimated capacity and ohmic impedance, to serve as sorting factors. Finally, a two-stage sorting scheme is proposed: The density-based spatial clustering of applications with noise (DBSCAN) algorithm identifies abnormal batteries and performs preliminary sorting, followed by the greedy algorithm for further grouping based on the preliminary sorting clusters. The sorting results of the two retired batteries demonstrate that the above method can achieve comprehensively consistent sorting of the external characteristics and internal states, injecting new impetus into a more accurate and efficient sorting process.
Fan, WenjunWang, XueyuanJin, YiqunJiang, BoZhu, JiangongWei, XuezheDai, Haifeng
Polyaniline (PANI)-polymer based smart paints have emerged as a promising solution for enhancing the durability and performance of automobile surface coatings. These paint coatings offer a superior corrosion resistance, conductivity, and environmental stability, making it an ideal. Here novel copolymers of dodecylbenzene sulfonic acid(DBSA) aided poly (aniline-co-m-chloroaniline) nanocomposites of various compositions were prepared by oxidative method in micellar solution. These nanocomposites were analyzed by using UV-Vis and FT-IR spectroscopic methods. The crystalline nature of the polymer was evidenced through XRD patterns. SEM revealed the presence of particles with spherical morphology 100 nm in diameter. The electrical activity of the doped polymer was found to be content increasing from 3:1 to 3:3 x 10-2 S/cm to 5.64 x 10-7 S/cm with chloroaniline. These copolymers are added as additives in manufacturing of paint. These novel paints offer multiple protective mechanisms, including barrier protection, passivation, inhibition of cathodic and anodic reactions, and electrochemical stabilization. These mechanisms work synergistically to prevent the penetration of corrosive agents and redistribute electrochemical activity across the metal surface, thereby reducing the rate of corrosion. In addition to corrosion resistance, these paints also provide anti-static properties contributing to the overall functionality and longevity of automotive components.
Pachanoor, VijayanandMoorthi, Bharathiraja
Electrochemical impedance spectroscopy (EIS) is often used for fault diagnosis as an important parameter to characterize the state of fuel cells. However, online diagnosis requires high real-time performance and usually can only measure single-frequency or dual-frequency impedance. Too few diagnostic features make it difficult for traditional fault diagnosis methods based on EIS to ensure high accuracy. Therefore, this paper proposes a fault diagnosis method based on fast EIS measurement and an optimized random forest algorithm. Firstly, using a multi-sine excitation signal to realize the simultaneous measurement of multi-frequency impedance, provides more health status information in a single measurement. To solve the problem of large signal peaks caused by the superimposed signals, the phase is optimized by the genetic algorithm, which reduces the crest factor of the excitation signal. Then, multi-frequency impedance is used as a training feature for the random forest (RF) algorithm to realize the diagnosis of flooding and drying faults. The particle swarm optimization (PSO) algorithm is used to optimize the algorithm's hyperparameters to improve the identification accuracy. Finally, experimental verification is carried out based on the fault dataset of an automotive fuel cell, and the results show that the accuracy of the proposed algorithm can reach 99%, which is better than other common methods.
Ni, ShengqiZhang, CunmanZhu, YuanZhong, Xiaolong
Purified nickel and a large number of MgTi2 / NiO2 catalysts with various MgTi2 loadings were produced using the traditional incipient wetness method. X-ray crystallography and Fourier-transform infrared spectroscopy were used to examine the catalysts. To understand the material's microstructure better, the researchers investigated oxygen adsorption at 90K. The amine titration method was used to investigate the acidic characteristics of these catalysts. In a study on cumene cracking, these catalysts were employed. The catalyst was found to be amorphous up to a loading of 12 weight percent MgTi2, but at higher loadings, crystalline MgTi2 phase formed on an amorphous silica substrate. When NiO2 is doped with more MgTi2, there are significant differences in the structure, surface acidity, and catalytic activity of the catalysts. Catalysts with a higher MgTi2 loading are noticeably more acidic than those with a lower MgTi2 loading. A correlation between the amount of cracking activity and the number of acid sites on the catalyst surface has been shown in numerous studies. Cumene cannot be cracked over the investigated catalysts unless the catalyst contains extremely acidic sites. Unmistakably Bronsted acid sites, with the breaking action attributed to a mechanism involving chromium ions. The results were validated by comparing them with relevant studies in the existing literature. These comparisons demonstrate consistency with similar research, confirming the effectiveness of the MgTi2/NiO2 catalysts.
Ashok Kumar, B.Dhiyaneswaran, J.Selvaraj, MalathiPradeepkumar, M.Shajeeth, S.
In physical chemistry, time-resolved spectroscopy is the study of dynamic processes in materials or chemical compounds. Within this field, various techniques including transient absorption spectroscopy are used to study the mechanistic and kinetic details of chemical processes that occur within just a few picoseconds to a femtosecond — the equivalent of one millionth of one billionth of a second.
The work investigates the penetration depth of a low environmental impact Cr(III)-based sealing on two anodized Aluminum-Silicon alloys (i.e., EN AC-42200 and EN AC-43200) for brake system applications. EN AC-42200 and EN AC-43200 specimens are: 1) obtained by sectioning of gravity cast components; 2) anodized using different process times to obtain different anodic layer thicknesses; and 3) sealed in a Cr(III)-based proprietary sealing solution at low temperature. The obtained sealed anodic layers are characterized using several techniques including: Glow Discharge Optical Emission Spectroscopy (GDOES), metallographic analyses and Eddy current thickness measurements. Results demonstrate that: a) the Cr(III) concentration within the anodic layers shows an exponentially decreasing trend from the specimen surface toward the anodic layer-substrate interface; b) the typical thickness of the sealing layer is in the order of 1.5μm; and c) the Cr(III) penetration depth is only marginally affected by the thickness of the anodic layers and composition of the Aluminum-Silicon alloy under investigation.
Pavesi, AriannaFumagalli, LucaAbello, Mary AngelBonfanti, AndreaMancini, AlessandroVedani, MaurizioBertasi, Federico
Have you ever gazed at the vastness of the stars and wondered what else your CNC machine can create? Greg Green had the opportunity to find out when he joined the staff at the Canada-France-Hawaii Telescope (CFHT) in Waimea, Hawaii.
Light measurement devices called optical frequency combs have revolutionized metrology, spectroscopy, atomic clocks, and other applications. Yet challenges with developing frequency comb generators at a microchip scale have limited their use in everyday technologies such as handheld electronics.
Lasers developed at the University of Rochester offer a new path for on-chip frequency comb generators. University of Rochester, Rochester, NY Light measurement devices called optical frequency combs have revolutionized metrology, spectroscopy, atomic clocks, and other applications. Yet challenges with developing frequency comb generators at a microchip scale have limited their use in everyday technologies such as handheld electronics. In a study published in Nature Communications, researchers at the University of Rochester describe new microcomb lasers they have developed that overcome previous limitations and feature a simple design that could open the door to a broad range of uses.
A Columbia Engineering team has published a paper in the journal Joule that details how nuclear magnetic resonance spectroscopy techniques can be leveraged to design the anode surface in lithium metal batteries. The researchers also present new data and interpretations for how this method can be used to gain unique insight into the structure of these surfaces.
Selective Laser Melting (SLM) has gained widespread usage in aviation, aerospace, and die manufacturing due to its exceptional capacity for producing intricate metal components of highly complex geometries. Nevertheless, the instability inherent in the SLM process frequently results in irregularities in the quality of the fabricated components. As a result, this hinders the continuous progress and broader acceptance of SLM technology. Addressing these challenges, in-process quality control strategies during SLM operations have emerged as effective remedies for mitigating the quality inconsistencies found in the final components. This study focuses on utilizing optical emission spectroscopy and IR thermography to continuously monitor and analyze the SLM process within the powder bed, intending to strengthen process control and minimize defects. Optical emission spectroscopy is employed to study the real-time interactions between the laser and powder bed, melt pool dynamics, material behavior, and energy deposition. In parallel, IR thermography provides temperature gradient mapping and thermal insights during SLM, facilitating the detection of potential thermal irregularities. By employing these diagnostic methods, deviations from anticipated process behavior are identified and classified, which can be employed in multi-physics models as input for studying defects and deformation. Real-time data acquisition enables swift detection of anomalies like powder segregation, uneven layer melting, and potential thermal concerns. The insights derived from optical emission spectroscopy and IR thermography are processed and analyzed. This study provides comprehensive process insights through optical spectroscopy and IR thermography. These advanced diagnostics not only elevate the overall quality of manufactured components but also cut down on post-processing and material wastage, rendering additive manufacturing more efficient and dependable.
Raju, BenjaminKancherla, Kishore BabuB S, DakshayiniRoy Mahapatra, Debiprosad
Measurements of air–fuel ratio (AFR) and λ (AFRactual/AFRstoich) are crucial for understanding internal combustion engine (ICE) performance. However, current λ sensors suffer from long light-off times (on the order of seconds following a cold start) and limited time resolution. In this study, a four-color mid-infrared laser absorption spectroscopy (LAS) sensor was developed to provide 5 kHz measurements of temperature, CO, CO2, and NO in engine-out exhaust. This LAS sensor was then combined with 1 kHz hydrocarbon (HC) measurements from a flame ionization detector (FID), and the Spindt exhaust gas analysis method to provide 1 kHz measurements of λ. To the authors’ knowledge, this is the first time-resolved measurement of λ during engine cold starts using the full Spindt method. Three tests with various engine AFR calibrations were conducted and analyzed: (1) 10% lean, (2) stoichiometric, and (3) 10% rich. The measurements were acquired in the exhaust of a light-duty truck with an 8-cylinder gasoline engine. The LAS-FID-based λ sensor results were compared with those obtained from a universal exhaust gas oxygen (UEGO) sensor. The LAS-FID method provided robust λ measurements from the first combustion exhaust event (avoiding the light-off time associated with traditional λ sensors) in addition to enhanced temporal resolution (on the order of 100× increase compared to traditional diffusion-based λ sensors). The insight gained from this novel method could be used to benefit crank, cold start, and open- or closed-loop air–fuel ratio control strategies in gasoline engines for reduced emissions.
Stiborek, Joshua W.Kempema, Nathan J.Schwartz, Charles J.Szente, Joseph J.Loos, Michael J.Goldenstein, Christopher S.
In today’s landscape, environmental protection and nature conservation have become paramount across industries, spurring the ever-increasing aspect of decarbonization. Regulatory measures in transportation have shifted focus away from combustion engines, making way for electric mobility, particularly in smaller engines. However, larger applications like ships and stationary power generation face limitations, not enabling an analogous shift to electrification. Instead, the emphasis shifted to zero-carbon fuel alternatives such as hydrogen and ammonia. In addition to minimal carbon-containing emissions due to incineration of lubricating oil, hydrogen combustion with air results in nitrogen oxide emissions, still necessitating quantification for engine operation compliance with legal regulations. A commonly used multicomponent exhaust gas analyzer on FTIR principle can suffer from higher volumetric water shares in the exhaust gas of the hydrogen engine, influencing the emission analysis. This concern prompted the development of a new evaluation approach for hydrogen operation, analyzing unique wavelength bands for hydrogen operation while considering the higher volumetric water shares in the exhaust gas of a hydrogen engine and its missing carbonaceous emissions. The method’s capability of providing more credible results for hydrogen-powered engines is demonstrated by assessing the newly introduced hydrogen method through variations of the indicated mean effective pressure, the air–fuel equivalence ratio, and the intake air humidity. Presuming minimal CO2 emissions, the method allows a more realistic allocation of absorption spectra to other emissions. In addition to investigations on the new hydrogen evaluation method, a model for calculating the volumetric water share in the hydrogen engine’s exhaust gas is presented. By comparing the theoretical to the measured water share, the hydrogen emissions of the engine can be calculated without the need for additional hydrogen slip measurement.
Armbruster, FelinaKraus, ChristophPrager, MaximilianHärtl, MartinJaensch , Malte
Fossil fuel reserves are swiftly depleting when consumer demand for these fuels continues to rise. In order to meet the demand and diminish the pollution derived through conventional fuels, it is crucial to employ cleaner fuels made from substitutes such as waste biomass. Also, converting waste biomass to fuel can lower usage of landfills. There are many biomass resources that are suitable for fuel production, out of which groundnut is also a potential feedstock. Groundnut shell biomass was chosen for this study, as it is a waste leftover during shelling of groundnuts for various commercial applications. The procured groundnut shells were converted to oil using pyrolysis process and was distilled. Both the pyrolysis oil and the distilled oil were analyzed using Fourier transform infrared instrument wherein the presence of functional groups such as alcohols, amines, and carboxylic acids were identified. Further analysis of the distilled oil using gas chromatography and mass spectrometry indicates that major peaks correspond to phenolic groups. Acetic groups such as vaccenic acid and dicarboxylic acid were also identified in the distilled oil. Physiochemical property tests of distilled oil reveal that the overall qualities were inferior when compared to diesel. Further studies on using groundnut shell distilled oil as a fuel for combustion engine can be done using blend strategy.
Chelladorai, PrabhuBalakrishnan, Navaneetha KrishnanKeerthiga, G.Singhvi, SambhavAtekov, Parahat
This study demonstrates the defossilized operation of a heavy-duty port-fuel-injected dual-fuel engine and highlights its potential benefits with minimal retrofitting effort. The investigation focuses on the optical characterization of the in-cylinder processes, ranging from mixture formation, ignition, and combustion, on a fully optically accessible single-cylinder research engine. The article revisits selected operating conditions in a thermodynamic configuration combined with Fourier transform infrared spectroscopy. One approach is to quickly diminish fossil fuel use by retrofitting present engines with decarbonized or defossilized alternatives. As both fuels are oxygenated, a considerable change in the overall ignition limits, air–fuel equivalence ratio, burning rate, and resistance against undesired pre-ignition or knocking is expected, with dire need of characterization. Two simultaneous high-speed recording channels granted cycle-resolved access to the natural flame luminosity, which was recorded in red/green/blue and OH chemiluminescence. Selected conditions were investigated in more detail with the simultaneous application of planar laser-induced fluorescence of OH and HCHO and recording natural flame luminescence in a cycle-averaged manner. Poly oxymethylene dimethyl ether was used as pilot fuel, building on prior investigations. The mixture of 65 vol% Dimethyl Carbonate and 35 vol% Methyl Formate with prior verification on a passenger-car-sized engine substitutes synthetic natural gas in this study. Thermodynamically, the increased compression ratio up to 17.6 resulted in feasible operation and increased indicated efficiency. On the lower compression ratio of 15.48, a more comprehensive range of applicable air–fuel equivalence ratios and increased degrees of freedom regarding the pilot’s total energy share are observed compared to the base configuration with natural gas and EN590 as pilot fuel. The air–fuel equivalence ratio sweep from λ = 1.0–2.0 revealed predominantly premixed and high-temperature heat release via OH*. The temporal and spatial evolution shifts while leaning out the mixture with increasing gradients on the radial distribution and decouples for lean mixtures from the initial spray trajectory.
Mühlthaler, Markus SebastianHärtl, MartinJaensch, Malte
Various feedstocks can be employed for biodiesel production, leading to considerable variation in composition and engine fuel characteristics. Using biodiesels originating from diverse feedstocks introduces notable variations in engine characteristics. Therefore, it is imperative to scrutinize the composition and properties of biodiesel before deployment in engines, a task facilitated by predictive models. Additionally, the international commercialization of biodiesel fuel is contingent upon stringent regulations. The traditional experimental measurement of biodiesel properties is laborious and expensive, necessitating skilled personnel. Predictive models offer an alternative approach by estimating biodiesel properties without depending on experimental measurements. This research is centered on building models that correlate mid-infrared spectra of biodiesel and critical fuel properties, encompassing kinematic viscosity, cetane number, and calorific value. The novelty of this investigation lies in exploring the suitability of support vector machine (SVM) regression, a burgeoning machine learning algorithm, for developing these models. Hyperparameter optimization for the SVM models was conducted using the grid search method, Bayesian optimization, and gray wolf optimization algorithms. The resultant SVM models exhibited a noteworthy reduction in mean absolute percentage error (MAPE) for the prediction of biodiesel viscosity (3.1%), cetane number (3%), and calorific value (2.1%). SVM regression, thus, emerges as a proficient machine learning algorithm capable of establishing correlations between the mid-infrared spectra of biodiesel and its properties, facilitating the reliable prediction of biodiesel characteristics.
Bukkarapu, Kiran RajKrishnasamy, Anand
Hydrogen exhibits the notable attribute of lacking carbon dioxide emissions when used in internal combustion engines. Nevertheless, hydrogen has a very low energy density per unit volume, along with large emissions of nitrogen oxides and the potential for backfire. Thus, stratified charge combustion (SCC) is used to reduce nitrogen oxides and increase engine efficiency. Although SCC has the capacity to expand the lean limit, the stability of combustion is influenced by the mixture formation time (MFT), which determines the equivalence ratio. Therefore, quantifying the equivalence ratio under different MFT is critical since it determines combustion characteristics. This study investigates the viability of using a Laser Induced Breakdown Spectroscopy (LIBS) for measuring the jet equivalence ratio. Furthermore, study was conducted to analyze the effect of MFT and the double injection parameter, namely the dwell time and split ratio, on the equivalence ratio. Simultaneously, the structural characteristics of the jet were examined within a constant volume chamber to assess the accuracy of the measurement results. The findings indicate that, as MFT lengthens, the width of the jet also increases. This leads to decrease in equivalence ratio in the center of the jet due to enhanced dispersion effects. A decrease in the proportion of first injection and an increase in dwell time lead to jet contraction, resulting in higher local equivalence ratio measured in the center of the jet. The measurement findings of equivalence ratio, integrated with the analysis of the jet, contribute to an increased reliability of LIBS results. Furthermore, these findings reveal the potential for achieving hydrogen lean stratification. This should make a significant contribution towards the advancement of hydrogen engines in the pursuit of achieving carbon neutrality.
Ki, YoungminKim, Jungho JustinLee, Seong-YoungHwang, JoonsikBae, Choongsik
The parameterization of the electrochemical pseudo-two-dimensional (P2D) model plays an important role as it determines the acceptance and application range of subsequent simulation studies. Electrochemical impedance spectroscopy (EIS) is commonly applied to characterize batteries and to obtain the exchange current density and the solid diffusion coefficient of a given electrode material. EIS measurements performed with frequencies ranging from 1 MHz down to 10 mHz typically do not cover clearly isolated solid state diffusion processes of lithium ions in positive or negative electrode materials. To extend the frequency range down to 10 μHz, the distribution function of relaxation times (DRT) is a promising analysis method. It can be applied to time-domain measurements where the battery is excited by a current pulse and relaxed for a certain period. By means of curve-fitting techniques, the pulse-relaxation measurement can be transferred in a function suitable for the DRT analysis, which is the basis for constructing additional low-frequency impedance points. In this work, the EIS measured in the frequency domain and the simulated EIS derived from the time-domain measurement by the DRT method are combined to cover all electrochemical processes of the battery, especially the lithium-ion diffusion in the electrodes. The electrical equivalent circuit model (ECM) consisting of resistors, ZARC elements and Warburg elements in the frequency domain is applied to fit the EIS curve and identify the P2D model parameters. By investigating the intercalation processes using the distribution function of the differential capacity (DDC) technique, particles with different particle sizes are considered and their corresponding solid diffusion coefficients are identified by the established ECM. The consistency between time- and frequency-domain data is elaborated based on a model of a commercial automotive cell.
Chen, ChaoWurzenberger, Johann
Water content estimation is a key problem for studying the PEM fuel cell. When several hundred fuel cells are connected in serial and their active surface area is enlarged for sufficient power, the difference between cells becomes significant with respect to voltage and water content. The voltage of each cell is measurable by the cell voltage monitor (CVM) while it is difficult to estimate water content of the individual. Resistance of the polymer electrolyte membrane is monotonically related to its water content, so that the new online high frequency resistance (HFR) measurement technique is investigated to identify the uniformity of water content between cells and analyze its sensitivity to operating conditions in this paper. Firstly, the accuracy of the proposed technique is experimentally validated to be comparable to that of a commercialized electrochemical impedance spectroscopy (EIS) measurement equipment. Secondly, the HFR of each cell of a 164-cell and 270 cm2 stack is acquired by means of the re-designed CVM and it contributes to the uniformity identification of their water content. Thirdly, the sensitivity analysis of the HFR to operating conditions implies the importance of air excess ratio and chamber pressure in adjusting water content, and the dynamic experiment shows the difference of time constant between removal and accumulation of water in the fuel cell, namely the hysteresis phenomenon. The online HFR measurement technique for each cell of a large stack proposed in this study can be implemented to more situations like experimental research in laboratory, application in transportation area and even extension to battery research.
Hong, PoMing, PingwenZhang, Cunman
In the diagnosis of membrane flooding and drying faults in a Proton Exchange Membrane Fuel Cell (PEMFC) through Electrochemical Impedance Spectroscopy (EIS), this paper proposes a Genetic Algorithm (GA)-based feature selection method for selecting the required frequency points of failure, to reduce the measurement time taken by EIS while ensuring high diagnostic accuracy. This feature selection method searches the feature space through GA and proposes an encoding method tailored to this problem. During the searching process, three algorithms, i.e., Backpropagation Neural Network (BPNN), K-Nearest Neighbor (KNN), and eXtreme Gradient Boosting (XGBoost), are used to extract various features and select higher diagnostic rates of feature frequencies. Comparisons are made between the feature frequencies selected by the proposed method and those selected by conventional methods based on empirical experience, and it is found that the feature frequencies selected by the proposed method have better diagnostic performance.
Guan, PengShen, YitaoWang, ZheyuBai, YuXinJi, ZhaoQi
Optical parametric oscillator (OPO) lasers test optical fibers and components to characterize the spectral response of optical components. OPO lasers are common in sophisticated test and measurement applications such as mass spectrometry, photoacoustic imaging, and spectroscopy. Now, these tunable pulsed lasers are being used to facilitate a range of tests at different wavelengths to qualify and quantify the performance of optical components such as fiber optic strands, filters, lenses, and coated mirrors.
Multicolored light-emitting arrays could be useful in low-power sensing, computing, and spectroscopy, but too often their spectral range is limited to a few colors due to material and device constraints. Now, Berkeley engineers have devised a way to produce an economical and compact light-emitting device with limitless colors that could greatly increase resolution in spectral imaging.
Mass spectrometry (MS), which is used to identify molecules within a sample by measuring the mass-to-charge ratio of ions, is employed across many fields of study, including biology, chemistry, physics, and clinical medicine. As the technology continues to evolve, so will the applications that can benefit from this important tool.
The Euro 7 emission regulations currently under consideration by the EU will adopt on-road emissions test as the main Type Approval procedure, and it has been proposed that the number of gas components to be measured will be increased. Therefore, the Portable Emissions Measurement System (PEMS) used for on- road emissions testing must be able to simultaneously measure more components with higher precision while maintaining the same compact and lightweight structure as in the existing PEMS. The authors have applied a relatively new technique, quantum cascade laser infrared spectroscopy (QCL-IR), to an on-board multi-component gas analyzer. Comparison with laboratory tests on a gasoline passenger car on a dynamometer showed that the newly developed QCL- IR PEMS correlated well with conventional PEMS and stationary conventional analyzers. Signal noise and interference from other gases was also confirmed to show the expected performance, which was equal to or better than that of conventional analyzers.
Kondo, YosukeHamauchi, ShotaKowada, YoshihitoShibuya, KyojiOtsuki, Yoshinori
Aerospace & Defense Technology: September 202323AERP099/7/2023
How Thunderbolt 4 Helps Bring Fault-Tolerant, Distributed Systems to Market Delivering Operational Energy to Enhance Warfighter Capability Optoelectronic Analog Signal Transmission Takes Center Stage Amidst Aerospace and Defense Innovation Shaking Outside the Box to Advance Flight Research An Introduction to Quantum Computing How Laser Communications Innovation is Finally Coming of Age and Driving Innovation in Defense Spatial Calibration for Accurate Long Distance Measurement Using Infrared Cameras A new spatial calibration procedure has been introduced for infrared optical systems developed for cases where camera systems are required to be focused at distances beyond 100 meters. Towards Greater Sensitivity: A Brief FTIR and Infrared-Based Cavity Ring Down Spectroscopy Comparative Study A presentation of work comparing efficacy of a traditional IR method used as a standard within the U.S. Army Combat Capabilities Development Command (DEVCOM) and by international collaborators with that of an emerging technology, cavity ring down spectroscopy (CRDS). Determining Optical Material Parameters With Motion in Structured Illumination A set of power measurements as a function of controlled nanopositioner movement of a planar film arrangement in a standing wave field is presented as a means to obtain the thicknesses and the dielectric constants to a precision dictated by noise in an exciting laser beam and the positioning and detector process, all of which can be refined with averaging. Deep Image Prior Amplitude SAR Image Anonymization An extensive evaluation of the Deep Image Prior (DIP) technique for image inpainting on Synthetic Aperture Radar (SAR) images. Free-Space Quantum Communications in Harsh Environments Exploring the possibility of all-weather secure quantum communication using macroscopic quantum states of light.
Chemical Vapor Deposition (CVD) and Atomic Layer Deposition (ALD) processes deposit material on all surfaces in a process chamber. Over time, the thickness of these deposits increases to the point that material begins to delaminate, producing gas-phase particulates that negatively impact process yield. Remote and in situ chemical etching processes are used to periodically remove these deposits from chamber walls, maintaining chamber cleanliness.
A threat in the form of chemical vapor may not be visible, but rapid detection is critical for preservation of life and property. In addition, understanding the surrounding environment informs the posture that the warfighter will need to take. The field of chemical vapor detection spans far beyond the warfighter and is rich in research. A search in SciFinder for “chemical vapor detection” provides over 400,000 results with over 3,000 books, 26,000 reviews, and nearly 300,000 journal articles. The focus of this document will be with an eye towards perimeter monitoring for a wide range of gas-phase chemicals. To accomplish such sensing, compound-specific sensors should not be employed as they lack capability to detect or inform about the presence of many potential threats outside of their selected targets. A viable technique for sensing a wide range of compounds is infrared absorption as most potential threats provide an infrared absorbance spectrum which arises from each compound’s unique molecular structure.
A presentation of work comparing efficacy of a traditional IR method used as a standard within the U.S. Army Combat Capabilities Development Command (DEVCOM) and by international collaborators with that of an emerging technology, cavity ring down spectroscopy (CRDS). Army Combat Capabilities Development Command, Aberdeen Proving Ground, MD A threat in the form of chemical vapor may not be visible, but rapid detection is critical for preservation of life and property. In addition, understanding the surrounding environment informs the posture that the warfighter will need to take. The field of chemical vapor detection spans far beyond the warfighter and is rich in research. A search in SciFinder for “chemical vapor detection” provides over 400,000 results with over 3,000 books, 26,000 reviews, and nearly 300,000 journal articles. The focus of this document will be with an eye towards perimeter monitoring for a wide range of gas-phase chemicals. To accomplish such sensing, compound-specific sensors should not be employed as they lack capability to detect or inform about the presence of many potential threats outside of their selected targets. A viable technique for sensing a wide range of compounds is infrared absorption as most potential threats provide an infrared absorbance spectrum which arises from each compound's unique molecular structure. The purpose of this article is to provide a comparison between a commercially available instrument long utilized as a standard within several defense laboratories around the globe which employs FTIR methods for detection of environmental gasses in industrial environments to a newer class of IR absorption-based detectors that use cavity ringdown to determine the absorption profile.
This program involved the detailed evaluation of a novel laser-based in-exhaust ammonia sensor using a diesel fuel-based burner platform integrated with an ammonia injection system. Test matrix included both steady-state modes and transient operation of the burner platform. Steady-state performance evaluation included tests that examined impact of exhaust gas temperature, gas velocity and ammonia levels on sensor response. Furthermore, cross sensitivity of the sensor was examined at different levels of NOX and water vapor. Transient tests included simulation of the FTP test cycles at different ammonia and NOX levels. A Fourier transform infrared (FTIR) spectrometer as well as NIST traceable ammonia gas bottles (introduced into the exhaust stream via a calibrated flow controller) served as references for ammonia measurement. Results suggested that Indrio’s sensor exhibits a strong linear relationship with reference ammonia measurement across the tested range of 0 ppm to 200 ppm with a regression factor (R2) ~ 0.99. Exhaust flowrate did not have a significant impact on sensor performance. With no temperature compensation applied, Indrio’s sensor performance was not impacted by temperatures of the order of 300°C to 400°C, however, it slightly overestimated ammonia levels at lower temperatures (~200°C). Cross-sensitivity experiments indicated that the presence of 200 ppm NOX resulted in less than 2.5% change in slope (Indrio sensor vs reference). Transient sensor response indicated that the sensor tracked reference ammonia concentration reasonably well. Overall, the sensor exhibited tremendous potential to serve as an accurate onboard ammonia sensor that could be used for real-time SCR control strategy optimization which will be invaluable for future low NOX platforms.
Premnath, VinayBalakrishnan, ArunSur, RitobrataKhalek, ImadEakle, Scott
This work elaborates the transferability of electrode diffusion coefficients gained from fitting procedures in frequency domain to an electrochemical battery model run in time domain. An electrochemical battery model of an NMC622 half-cell electrode is simulated with sinusoidal current excitations at different frequencies. The current and voltage signals are analyzed in frequency domain via Nyquist and Bode plots. The frequency domain analysis of time domain simulations is applied to assess the numerical convergence of the simulation and the sensitivity on particle diameter, electrode and electrolyte diffusion coefficients. The simulated frequency spectra are used to fit the electrode diffusion coefficient by means of different electrical equivalent circuit models and the electrochemical battery model itself. The fitted diffusion coefficients from the different electrical equivalent circuit models deviate by one order of magnitude from the a priori known reference data. The fitting results from the electrochemical battery model show a perfect match and the corresponding simulation times underline the feasibility of this fitting approach. The impact of different electrode diffusion coefficients is further assessed by constant current discharge and pulse discharge simulations at different C-rates. The voltage responses deviate in the range of 20 mV for the 2C discharge pulse.
Wurzenberger, Johann C.Lechner, ChristophChen, ChaoKolmbauer, MichaelMele, IgorKatrasnik, Tomaz
As NASA expands its quest to discover exoplanets — planets beyond our solar system — it also grows its toolbox. Last summer, a new tool called NEID (pronounced NOO-id) delivered its first batch of data on the nearest and best-studied star, our Sun.
Army Research Laboratory, Adelphi, MD Developing single photon UV detection for compact chemical and biological sensors. This report summarizes the main lines of effort for the Electro-Optics Materials Research (EOMR) program including its goals and major accomplishments, focusing on the past 5 years. This EOMR program was an effort within 601102A.31B.1 titled “Optoelectronic and Integrated Photonic Materials and Device Research” for FY16-FY19 and 611102A.AA8.1 titled “Photonic Materials and Device Research” for FY20-FY21. The focus of this EOMR for most of the program was to develop novel semiconductor optoelectronic devices to reduce the size, weight, power, and cost (SWaP-C) of chemical and biological detection and identification systems. Specifically, the program addressed the need for high sensitivity photodetectors in the near-UV (NUV) spectrum between 300 and 350 nm for biological agent detection using light-induced fluorescence techniques employed by the Tactical Biological (TAC-BIO) detector, developed by the US Army Combat Capabilities Development Command Chemical Biological Center, as well as in the deep UV spectrum (220-240 nm) important for standoff chemical detection based upon fluorescence-free Raman spectroscopy. Late in the program, this effort pivoted to address assured communications challenges relevant to the Army modernization priority for future networks through examining how to improve the efficiency of solar-blind UV LEDs.
Mobile NIR spectroscopy has gathered a lot of interest in recent years. On site and real time measurements of the chemical composition of solid or fluid samples could be applied to identification, authentication or estimation of quality parameters and similar relevant measurement tasks. This measurement technique is particularly useful for, but not limited to samples containing organic compounds.
Scientists, including an Oregon State University materials researcher, have developed a better tool to measure light, contributing to a field known as optical spectrometry in a way that could improve everything from smartphone cameras to environmental monitoring.
This article discusses the basic design concepts of a UV-visible-NIR range microscope spectrometer in several different configurations. These include configurations to acquire absorbance, reflectance, fluorescence and Raman spectra of microscopic samples. A brief summary of some of the uses of the microscope-spectrometer is also included.
In the present study, a reverse micelle method is used to fabricate Lanthanum ferrite nanopowders. Toluene (oil phase), Igepal CO 520 (non-ionic surfactant), and mixed aqueous solutions of Lanthanum (III) nitrate hydrate and Iron (III) nitrate nonohydrate are used to make the microreactor (water phase). The precipitate is formed by introducing ammonium hydroxide to microemulsion. The deposit is then centrifuged, dried, and calcined to prepare LaFeO3 nanopowders. The prepared LaFeO3 nanopowders were subjected to X-ray diffraction (XRD), and Transmission electron microscopy (TEM). XRD confirms the presence of LaFeO3 with cubic spinel structure annealed at 600°C. The size of the crystallites grows as the water to surfactant ratio rises. TEM shows the particle size at water to surfactant ratio of about 11.4 nm. Weak ferromagnetic behavior and reduced magnetic moments are revealed by magnetic measurements. When the water-to-surfactant ratio rises, the absorption band at R=12 shifts to a longer wavelength, as shown by UV-NIR spectroscopy.
J, ChandradassN.V., RengasamyM, AMUTHA SURABIkim, Ki HyeonRajendran, R
The Coordinating Research Council (CRC) is actively involved in developing and applying advanced analytical techniques to the chemical characterization of transportation fuels. This article complements a 2017 CRC project to quantify and compare the effects of a commercially available renewable diesel fuel (hydrotreated vegetable oil [HVO]) and an ultralow sulfur diesel (ULSD) fuel on engine-out gaseous and particulate matter (PM) emissions from a light-duty vehicle. Results showed that the combustion of HVO fuel had an advantage over ULSD in terms of lowering engine-out emissions (THC, CO, NOx, etc.). Furthermore, this advantage is strongly related to the fuel composition. This article summarizes the results of advanced and comprehensive analytical tests on the same ULSD and HVO fuels and attempts to connect some of the engine-out emissions results to fuel composition and specific chemical structures. A variety of test methods, generally unavailable in combination, were employed, such as one-dimensional (1D) and two-dimensional (2D) gas chromatography (GC), nuclear magnetic resonance spectroscopy (NMR), and high-pressure solid-liquid phase transition experiments. In summary, the ULSD sample was found to have representation across the expected set of hydrocarbon classes typical for the sample type. Interestingly, a high content of cycloparaffins (>50 wt%) and a very low content of diaromatics (~2 wt%) were present. While not without precedent, these are higher and lower, respectively, than typically found for commercial ULSD compositions. In contrast, HVO was found to consist of only two hydrocarbon classes: n-paraffins (~10 wt%) and iso-paraffins (~90 wt%), both predominantly in a narrow carbon atom number range (i.e., C14–C18). HVO engine-out emissions results for the LA-92 and steady-state testing can be tracked to the narrow carbon atom number range of the n-paraffins and iso-paraffins, which result in a high cetane number fuel having a narrow distillation range. Previously, the low-temperature operability of HVO has been a concern, but that appears not be the case for this particular HVO. HVO and ULSD were evaluated at pressures up to ~275 MPa and found to have comparable solid-liquid equilibria despite significant compositional differences.
Bays, J. TimothyGieleciak, RafalViola, Michael B.Lewis, Russ P.Cort, John R.Campbell, Kristen B.Coffey, Gregory W.Linehan, John C.Kusinski, Matthew
Developed by Rudolph Diesel in the 1890s, the diesel powertrain is used in many applications worldwide. For significant time the engine fuel source for these engines was petroleum diesel, until new legislation regarding emission reduction and smog mitigation saw the introduction of petroleum diesel and biodiesel (Fatty acid methyl ester; FAME) blends in the early 2000s. Since then there have been many instances of filters in diesel powertrains across heavy, light and off-road platforms becoming blocked with unidentified material, for example in the United States, Northern Europe and Scandinavia. Filters are designed to remove contaminants from the fuel system and as the filter becomes plugged it restricts the fuel flow resulting in loss of engine power and eventual breakdown. Understanding The nature of the material responsible for such blockages is clearly important to the industry and has been the subject of many studies. However, it is also clear from such work that not all the materials responsible for filter blocking have been identified. This work will describe the application of a variety of mass spectrometry techniques such as Fourier Transforms Ion Cyclotron Mass Spectrometry (FT-ICR-MS); Ultrahigh Performance Supercritical Fluid Mass Spectrometry. (UHPSFC-MS) to further identify the filter blocking materials in conjunction with more traditional analytical techniques for example Scanning Electron Microscopy, (SEM), X-ray Fluorescence Spectroscopy (EDS) and Fourier Transform Infra-red Microscopy (FTIRM).
Barker, JimLangley, GrahamCarter, AnastarsiaHerniman, JulieReid, JacquelineWilmot, Ed
Scientists used photoelectrochemical measurement and x-ray photoelectron spectroscopy to clarify the source of titanium’s biocompatibility when implanted into the body, as with hip replacements and dental implants. They find that its reactivity with the correct ions in the extracellular fluid allows the body to recognize it. This work may lead to a new generation of medical implants that last longer.
To define capabilities and limitations of Raman spectroscopy as it pertains to counterfeit detection of EEE parts and suggest possible applications to these ends. Additionally, this document outlines requirements associated with the application of Raman spectroscopy including: Operator training; Sample preparation; Data interpretation; Computerized spectral matching including pass/fail criteria; Equipment maintenance and; Reporting of data. If AS6171/8 is invoked in the contract, the base document, AS6171 General Requirements shall also apply.
G-19A Test Laboratory Standards Development Committee
This document defines capabilities and limitations of FTIR spectroscopy as it pertains to counterfeit electronic component detection and suggests possible applications to these ends. Additionally, this document outlines requirements associated with the application of FTIR spectroscopy including: operator training, sample preparation, various sampling techniques, data interpretation, computerized spectral matching including pass/fail criteria, equipment maintenance, and reporting of data. The discussion is primarily aimed at analyses performed in the mid-infrared (IR) from 400 to 4000 wavenumbers; however, many of the concepts are applicable to the near and far IR. If AS6171/9 is invoked in the contract, the base document, AS6171 General Requirements shall also apply.
G-19A Test Laboratory Standards Development Committee
Titan, Saturn’s largest moon and the only celestial body which is found to have a landmass composed of liquid hydrocarbons. Nitrogen - The building block of all life that exists on earth is found to be abundant in Titan’s atmosphere of up to 97%. Aerobots provide a great platform for exploring a celestial body with an atmosphere such as Titan. They have modest power requirements, longer mission duration, and can cover a longer distance in a shorter time. They are powered by a Radioisotope Thermoelectric Generator for optimal mission life. Aerobot’s altitude can be altered by varying the temperature of the air inside the balloon and yaw can be controlled using a Reaction Wheel and a motor-driven propeller for forwarding thrust. The proposed Aerobot will be equipped with four miniature deployable fixed weather stations that can be dropped from the aerobot to Titan's surface. They can be deployed at diverse locations such as the equator and Polar Regions to deeply explore the Titan’s climate and atmosphere. These weather stations contain payloads such as nitrogen, methane, oxygen sensor, and a spectrometer to analyze the composition of the atmosphere. Temperature sensors and wind speed sensors can be equipped. Also, a lightning detector can be used to trace lightning and thunderstorm, an essential element for organisms’ inhabitable environments. Radiation sensors both in weather stations and Aerobots can help us to understand the risks in its atmosphere. These weather stations are mounted on a floatable structure to float on rivers on Titan. They have an on-board memory storage facility to store data from sensors and transmit the saved data once the aerobot comes across them in the sky. Also, the aerobot will be inflated before landing on Titan to safeguard the aerobot without falling on to rivers of Titan. This work focused to design and computationally investigates the fluid dynamic behaviour and its structural impacts on the proposed Unmanned Aerobot under the environmental conditions of Titan.
Raja, Manoj KumarSaravana Mohan, HaribalanThangavel, SabariRaja, VijayanandhGnanasekaran, Raj KumarSivasankaran, Abinash Nataraj
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