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Letteratura scientifica selezionata sul tema "Particle filter"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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Articoli di riviste sul tema "Particle filter"

1

Liu, Jing Xian, De Qiang Chang, Yue Xie, Ning Mao, and Xi Sun. "Research on Fine Particles Capture of Baghouse Filter Media." Applied Mechanics and Materials 300-301 (February 2013): 1293–97. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.1293.

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Industrial dust emission is one of the main sources of fine particle especially for PM2.5 in atmosphere. Filter media is the key component for baghouse. In the paper, several normal needle felt filters and membrane filter are studied through experiments. The performances of filter such as resistance, capture efficiency for total particle and number counting efficiency for fine particle are tested.The experimental results show that the resistance of filter increase after aging, the resisitance increasing rate of membrane filter is the smallest; The efficiencies for total particles of normal fil

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2

Kelly, Wayne, Donald Grant, and Joseph Zahka. "Optimization of Filter Properties for Recirculating Etch Baths." Journal of the IEST 43, no. 3 (2000): 30–40. http://dx.doi.org/10.17764/jiet.43.3.72574h1883p177u4.

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Membrane filters are often used to remove small particles from liquids in recirculating etch baths (REBs). The ideal filter for this application would have both high particle capture efficiency and high flow permeability. Unfortunately, filters with high particle capture efficiency often have low permeability because the dominant particle capture mechanism is mechanical sieving. This paper describes more efficient capture mechanisms, interception and diffusion, and a filter with a surface modified to capture particles by these mechanisms. The filter has the same permeability as a conventional

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3

Pei, Fujun, Mei Wu, and Simin Zhang. "Distributed SLAM Using Improved Particle Filter for Mobile Robot Localization." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/239531.

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The distributed SLAM system has a similar estimation performance and requires only one-fifth of the computation time compared with centralized particle filter. However, particle impoverishment is inevitably because of the random particles prediction and resampling applied in generic particle filter, especially in SLAM problem that involves a large number of dimensions. In this paper, particle filter use in distributed SLAM was improved in two aspects. First, we improved the important function of the local filters in particle filter. The adaptive values were used to replace a set of constants i

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4

Örenbaş, Halit, and Muharrem Mercimek. "Clustered Exact Daum-Huang Particle Flow Filter." Mathematical Problems in Engineering 2019 (May 13, 2019): 1–8. http://dx.doi.org/10.1155/2019/8369565.

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Unlike the conventional particle filters, particle flow filters do not rely on proposal density and importance sampling; they employ flow of the particles through a methodology derived from the log-homotopy scheme and ensure successful migration of the particles. Amongst the efficient implementations of particle filters, Exact Daum-Huang (EDH) filter pursues the calculation of migration parameters all together. An improved version of it, Localized Exact Daum-Huang (LEDH) filter, calculates the migration parameters separately. In this study, the main objective is to reduce the cost of calculati

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5

Zhang, Yinhang, Xiuhua Men, Shuai Wang, Xiuli Fu, and Liwen Chen. "CFD-DEM Study of Pleated Filter Plugging Process Based on Porous Media Model." Machines 10, no. 10 (2022): 862. http://dx.doi.org/10.3390/machines10100862.

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The pneumatic conveying process of fine particles through filters was studied by CFD-DEM simulation method. The porous media model and porous structure were used to simulate the airflow state and the blocking effect of fine particles when they flowed through the filter. Under different particle feed rates and initial particle velocities, the effects of the plugging rate and settling velocity in pleated filters were analyzed, and the effect of particle deposition height on fluid zone was studied. The results showed that particles should avoid the feed rate of 250–750 g/s and choose the initial

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Papavasiliou, Anastasia. "A uniformly convergent adaptive particle filter." Journal of Applied Probability 42, no. 4 (2005): 1053–68. http://dx.doi.org/10.1239/jap/1134587816.

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Particle filters are Monte Carlo methods that aim to approximate the optimal filter of a partially observed Markov chain. In this paper, we study the case in which the transition kernel of the Markov chain depends on unknown parameters: we construct a particle filter for the simultaneous estimation of the parameter and the partially observed Markov chain (adaptive estimation) and we prove the convergence of this filter to the correct optimal filter, as time and the number of particles go to infinity. The filter presented here generalizes Del Moral's Monte Carlo particle filter.

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Papavasiliou, Anastasia. "A uniformly convergent adaptive particle filter." Journal of Applied Probability 42, no. 04 (2005): 1053–68. http://dx.doi.org/10.1017/s0021900200001108.

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Abstract (sommario):

Particle filters are Monte Carlo methods that aim to approximate the optimal filter of a partially observed Markov chain. In this paper, we study the case in which the transition kernel of the Markov chain depends on unknown parameters: we construct a particle filter for the simultaneous estimation of the parameter and the partially observed Markov chain (adaptive estimation) and we prove the convergence of this filter to the correct optimal filter, as time and the number of particles go to infinity. The filter presented here generalizes Del Moral's Monte Carlo particle filter.

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8

Kim, Inkyu, Nosan Kwak, Heoncheol Lee, and Beomhee Lee. "Improved particle fusing geometric relation between particles in FastSLAM." Robotica 27, no. 6 (2009): 853–59. http://dx.doi.org/10.1017/s0263574708005250.

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SUMMARYFastSLAM is a framework for simultaneous localization and mapping using a Rao-Blackwellized particle filter (RBPF). But, FastSLAM is known to degenerate over time due to the loss of particle diversity, mainly caused by the particle depletion problem in resampling phase. In this work, improved particle filter using geometric relation between particles is proposed to restrain particle depletion and to reduce estimation errors and error variances. It uses a KD tree (k-dimensional tree) to derive geometric relation among particles and filters particles with importance weight conditions for

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9

Lee, Yoonsang, and Andrew J. Majda. "State estimation and prediction using clustered particle filters." Proceedings of the National Academy of Sciences 113, no. 51 (2016): 14609–14. http://dx.doi.org/10.1073/pnas.1617398113.

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Particle filtering is an essential tool to improve uncertain model predictions by incorporating noisy observational data from complex systems including non-Gaussian features. A class of particle filters, clustered particle filters, is introduced for high-dimensional nonlinear systems, which uses relatively few particles compared with the standard particle filter. The clustered particle filter captures non-Gaussian features of the true signal, which are typical in complex nonlinear dynamical systems such as geophysical systems. The method is also robust in the difficult regime of high-quality s

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Michalski, Jacek, Piotr Kozierski, Wojciech Giernacki, Joanna Zietkiewicz, and Marek Retinger. "MultiPDF particle filtering in state estimation of nonlinear objects." Nonlinear Dynamics 106, no. 3 (2021): 2165–82. http://dx.doi.org/10.1007/s11071-021-06913-2.

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AbstractThis paper presents a new particle filter algorithm (MultiPDF) for state estimation of nonlinear systems. The proposed method is a modification of the standard particle filter approach. Due to the strong need for the acceleration of calculations and an improvement in the estimation quality of state estimation, the authors propose a method which enables one to divide the main particle filter into smaller sub-filters with an accordingly smaller number of particles for each one of them. The algorithm has been implemented for various numbers of particles and subordinate parallel filters. E

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Tesi sul tema "Particle filter"

1

Cao, Hui. "Smoothed Particle Filter." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2005. http://hdl.handle.net/2237/10425.

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Morzfeld, Matthias, Daniel Hodyss, and Chris Snyder. "What the collapse of the ensemble Kalman filter tells us about particle filters." TAYLOR & FRANCIS LTD, 2017. http://hdl.handle.net/10150/623125.

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The ensemble Kalman filter (EnKF) is a reliable data assimilation tool for high-dimensional meteorological problems. On the other hand, the EnKF can be interpreted as a particle filter, and particle filters (PF) collapse in high-dimensional problems. We explain that these seemingly contradictory statements offer insights about how PF function in certain high-dimensional problems, and in particular support recent efforts in meteorology to 'localize' particle filters, i.e. to restrict the influence of an observation to its neighbourhood.

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Rane, Nikhil. "Isomap tracking with particle filter." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1181252052/.

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Xia, Gongyi. "Particle Swarm Optimization and Particle Filter Applied to Object Tracking." Thesis, North Dakota State University, 2016. https://hdl.handle.net/10365/27610.

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Abstract (sommario):

The particle filter is usually used as a tracking algorithm in non-linear under the Bayesian tracking framework. However, the problems of degeneracy and impoverishment degrade its performance. The particle filter is thereafter enhanced by evolutionary optimization, in particular, Particle Swarm Optimization (PSO) is used in this thesis due to its capability of optimizing non-linear problems. In this thesis, the PSO enhanced particle filter is reviewed followed by an analysis of its drawbacks. Then, a novel sampling mechanism for the particle filter is proposed. This method generates particles

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Gebart, Joakim. "GPU Implementation of the Particle Filter." Thesis, Linköpings universitet, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94190.

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This thesis work analyses the obstacles faced when adapting the particle filtering algorithm to run on massively parallel compute architectures. Graphics processing units are one example of massively parallel compute architectures which allow for the developer to distribute computational load over hundreds or thousands of processor cores. This thesis studies an implementation written for NVIDIA GeForce GPUs, yielding varying speed ups, up to 3000% in some cases, when compared to the equivalent algorithm performed on CPU. The particle filter, also known in the literature as sequential Monte-Car

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Käll, Viktor, and Erik Piscator. "Particle Filter Bridge Interpolation in GANs." Thesis, KTH, Matematisk statistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301733.

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Generative adversarial networks (GANs), a type of generative modeling framework, has received much attention in the past few years since they were discovered for their capacity to recover complex high-dimensional data distributions. These provide a compressed representation of the data where all but the essential features of a sample is extracted, subsequently inducing a similarity measure on the space of data. This similarity measure gives rise to the possibility of interpolating in the data which has been done successfully in the past. Herein we propose a new stochastic interpolation method

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Johansson, Henrik. "Road-constrained target tracking using particle filter." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11562.

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<p>In this work a particle filter (PF) that uses a one-dimensional dynamic model to estimate the position of vehicles traveling on a road is derived. The dynamic model used in the PF is a second order linear-Gaussian model. To be able to track targets traveling both on and off road two different multiple model filters are proposed. One of the filters is a modified version of the Efficient Interacting Multiple Model (E-IMM) and the other is a version of the Multiple Likelihood Models (MLM). Both of the filters uses two modes, one for the on road motion and one for the off road motion. The E-IMM

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Tonetto, Leonardo. "A Particle Filter approach to GPS signals." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177320.

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Localization systems nowadays are extensively used by a growing number of mobile devices, such as smartphones and tablets integrated with various applications, and their use for traditional purposes such as navigation and geodesy have pushed the development of new techniques and improved algorithms. The combination of multiple techniques is the most common approach. Global Navigation Satellite Systems, such as GPS are well known and established localization systems that have great accuracy but are limited to locations where the strength of the signal is good. Therefore a new approach that coul

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9

Raveendran, Palanivel. "Mechanisms of particle detachment during filter backwashing." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/18989.

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Watson, Paul David Julian. "Geotextile filter design and particle bridge formation." Thesis, Queen Mary, University of London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307520.

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Libri sul tema "Particle filter"

1

Dubuisson, Séverine. Tracking with Particle Filter for High-Dimensional Observation and State Spaces. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119004868.

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2

Jonathan, Brandt, AWWA Research Foundation, and United States. Environmental Protection Agency., eds. Characterization of particles in filter effluents. Awwa Research Foundation, 2007.

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Jonathan, Brandt, AWWA Research Foundation, and United States. Environmental Protection Agency., eds. Characterization of particles in filter effluents. Awwa Research Foundation, 2007.

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Jonathan, Brandt, AWWA Research Foundation, and United States. Environmental Protection Agency., eds. Characterization of particles in filter effluents. Awwa Research Foundation, 2007.

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Jonathan, Brandt, AWWA Research Foundation, and United States. Environmental Protection Agency., eds. Characterization of particles in filter effluents. Awwa Research Foundation, 2007.

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6

Ristic, Branko. Particle Filters for Random Set Models. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6316-0.

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Ristic, Branko. Particle Filters for Random Set Models. Springer New York, 2013.

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8

Stone, Lawrence D., Roy L. Streit, and Stephen L. Anderson. Introduction to Bayesian Tracking and Particle Filters. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32242-6.

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9

Kolaru, Olukunle. An investigation into soil particle bridging in geotextile filters. Queen Mary and Westfield College, 1994.

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10

Lee, Rubow Kenneth, American Filtration Society, and American Filtration Society. Regional Meeting, eds. Fine particle filtration and separation. Gulf Pub. Co., 1991.

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Capitoli di libri sul tema "Particle filter"

1

Giron-Sierra, Jose Maria. "Kalman Filter, Particle Filter and Other Bayesian Filters." In Signals and Communication Technology. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2540-2_1.

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Davey, Samuel, Neil Gordon, Ian Holland, Mark Rutten, and Jason Williams. "Particle Filter Implementation." In SpringerBriefs in Electrical and Computer Engineering. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0379-0_8.

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3

Bruno, Marcelo G. S. "Auxiliary Particle Filter." In Sequential Monte Carlo Methods for Nonlinear Discrete-Time Filtering. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-031-02535-8_9.

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4

Nitti, Davide, Tinne De Laet, and Luc De Raedt. "Distributional Clauses Particle Filter." In Machine Learning and Knowledge Discovery in Databases. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44845-8_45.

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Zhang, Xiaoqin, Weiming Hu, and Steve Maybank. "A Smarter Particle Filter." In Computer Vision – ACCV 2009. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12304-7_23.

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Schröder, Christina, Xingwen Wei, Undine Fischer, Gert Schmidt, Olena Volkova, and Christos G. Aneziris. "In Situ Observation of Collision Between Exogenous and Endogenous Inclusions on Steel Melts for Active Steel Filtration." In Multifunctional Ceramic Filter Systems for Metal Melt Filtration. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-40930-1_2.

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AbstractInvestigations at the high-temperature confocal laser scanning microscope (HT-CLSM) allow observing the interaction of non-metallic particles in terms of potential filter material with endogenous particles of molten steel in the high-temperature range. The respective particle velocities are determined from the particle movements and conclusions are drawn about the attractive forces of the particles. The interactions of exogenous Al2O3 particles, MgO and MgAl2O4 spinel particles, and CA6 calcium aluminate particles with endogenous constituents of molten steel X15CrNiSi25-20 are analyzed

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Bain, Alan, and Dan Crisan. "A Continuous Time Particle Filter." In Stochastic Modelling and Applied Probability. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-76896-0_9.

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Goodrum, Matthew A., Michael J. Trotter, Alla Aksel, Scott T. Acton, and Kevin Skadron. "Parallelization of Particle Filter Algorithms." In Computer Architecture. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24322-6_12.

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Wang, Qicong, Li Xie, Jilin Liu, and Zhiyu Xiang. "Enhancing Particle Swarm Optimization Based Particle Filter Tracker." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-37275-2_151.

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Evensen, Geir, Femke C. Vossepoel, and Peter Jan van Leeuwen. "Particle Filter for Seismic-Cycle Estimation." In Springer Textbooks in Earth Sciences, Geography and Environment. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96709-3_19.

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AbstractThe particle filter is an effective data-assimilation method for low-dimensional, nonlinear systems. It is easy to implement, and it is straightforward to include model error, parameters, and controls in the state vector. This chapter demonstrates the use of a particle filter in the case of a parameter bias.

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Atti di convegni sul tema "Particle filter"

1

Wu, M., A. V. Kuznetsov, and W. Jasper. "Modeling Mass Transfer and Nanoparticle Capture in Electrostatically Charged Monolith Filters." In 2010 14th International Heat Transfer Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ihtc14-22205.

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Analyzing trajectories of particles in monolith filters is important for predicting the capture efficiency and improving the design of this class of filters. Modeling and simulations of the particle trajectories are carried out to evaluate the probability of capture by the filter’s front surface and filter channel’s inner wall. Due to Brownian motion and electrostatic attraction, the particles exhibit a random walk and their trajectories deviate from the streamlines of the fluid flow. Particle trajectories are computed by the integration of Newton’s second law, where the electrostatic force, t

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2

Fan, Pengpai, Li-Fen Sui, Bing Wang, and Wei Wang. "Particle Filter-Weight Estimation and Dual Particle Filter." In 2009 International Workshop on Intelligent Systems and Applications. IEEE, 2009. http://dx.doi.org/10.1109/iwisa.2009.5073000.

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3

Yunpeng Li, Lingling Zhao, and Mark Coates. "Particle flow auxiliary particle filter." In 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, 2015. http://dx.doi.org/10.1109/camsap.2015.7383760.

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Comandur, Karthik, Yunpeng Li, and Santosh Nannuru. "Particle Flow Gaussian Particle Filter." In 2022 25th International Conference on Information Fusion (FUSION). IEEE, 2022. http://dx.doi.org/10.23919/fusion49751.2022.9841354.

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Viswanathan, Sandeep, Stephen S. Sakai, Mitchell Hageman, et al. "Effect of Particle Size Distribution on the Deep-Bed Capture Efficiency of an Exhaust Particulate Filter." In ASME 2014 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icef2014-5464.

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The exhaust filtration analysis system (EFA) developed at the University of Wisconsin – Madison was used to perform micro-scale filtration experiments on cordierite filter samples using particulate matter (PM) generated by a spark-ignition direct injection (SIDI) engine fueled with gasoline. A scanning mobility particle sizer (SMPS) was used to characterize running conditions with four distinct particle size distributions (PSDs). The distributions selected differed in the relative number of accumulation versus nucleation mode particles. The SMPS and an engine exhaust particle sizer (EEPS) were

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Murata, Masaya, Hidehisa Nagano, and Kunio Kashino. "Monte Carlo filter particle filter." In 2015 European Control Conference (ECC). IEEE, 2015. http://dx.doi.org/10.1109/ecc.2015.7330967.

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Al-Hajeri, M. H., and A. Witry. "Computational Fluid Dynamics Investigation of Cylindrical Filter Element." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85664.

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Cylindrical or candle filters have been developed for cleaning the hot combustion gas streams upstream of the turbine in a combined cycle power plant. To obtain continues operation a periodic cleaning is necessary and the cleaning efficiency depends on the distribution of the filtration cake. Consequently uniform particle deposition on the filter element surface is desired. The flow around three filter elements in cross flow is investigated computationally using the commercial code FLUENT. Three filter elements are placed in a two-dimensional rectangle duct with fixed face velocity and varying

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Jun, Liang, and Wu Yan. "Correlation particle filter." In 2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI). IEEE, 2017. http://dx.doi.org/10.1109/icemi.2017.8265904.

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Stano, Pawel, Zsofia Lendek, and Robert Babuska. "Saturated particle filter." In 2011 American Control Conference. IEEE, 2011. http://dx.doi.org/10.1109/acc.2011.5990757.

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Alderman, Steven, Michael Parsons, Kristina Hogancamp, O. Perry Norton, and Charles Waggoner. "Evaluation of the Effects of Media Velocity on HEPA Filter Performance." In The 11th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2007. http://dx.doi.org/10.1115/icem2007-7075.

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Section FC of the ASME AG-1 Code addresses glass fiber HEPA filters and restricts the media velocity to a maximum of 2.54 cm/s (5 ft/min). Advances in filter media technology allow glass fiber HEPA filters to function at significantly higher velocities and still achieve HEPA performance. However, diffusional capture of particles < 100 nm is reduced at higher media velocities due to shorter residence times within the media matrix. Therefore, it is unlikely that higher media velocities for HEPA filters will be allowed without data to demonstrate the effect of media velocity on removal of part

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Rapporti di organizzazioni sul tema "Particle filter"

1

Taylor, S., J. Lever, K. Burgess, et al. Sampling interplanetary dust from Antarctic air. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/43345.

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We built a collector to filter interplanetary dust particles (IDPs) larger than 5 µm from the clean air at the Amundsen Scott South Pole station. Our sampling strategy used long duration, continuous dry filtering of near-surface air in place of short duration, high-speed impact collection on flags flown in the stratosphere. We filtered ~107 m³ of clean Antarctic air through 20 cm diameter, 3 µm filters coupled to a suction blower of modest power consumption (5–6 kW). Our collector ran continuously for 2 years and yielded 41 filters for analyses. Based on stratospheric concentrations, we predic

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Kerlin, M., E. Balboni, and K. Knight. Characterization, Chemistry, and Particle Size Distribution of Fallout Particles Isolated from Filter Samples. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1864128.

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Liu, Xinmin, Zongli Lin, and Scott Acton. A New Particle Filter Based Algorithm for Image Tracking. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada501159.

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Williams, A., R. L. McCormick, R. Hayes, and J. Ireland. Biodiesel Effects on Diesel Particle Filter Performance: Milestone Report. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/878457.

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Posselt, Derek J. Toward an Operational Particle Filter-Based Ensemble Data Assimilation System. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada614557.

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6

Ahmadi, Goodarz. PARTICLE TRANSPORT AND DEPOSITION IN THE HOT-GAS FILTER AT WILSONVILLE. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/793319.

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7

Goodarz Ahmadi. PARTICLE TRANSPORTATION AND DEPOSITION IN HOT GAS FILTER VESSELS - A COMPUTATIONAL AND EXPERIMENTAL MODELING APPROACH. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/823418.

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8

Kilpatrick, L. L. Particle size distribution of ground ITP washed precipitate for estimating filter box radioactive cesium release during transfer. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10107805.

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9

Beal, Samuel, and Matthew Bigl. Particle size characteristics of energetic materials distributed from low-order functioning mortar munitions. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49189.

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Abstract (sommario):

Particles of explosive filler distributed from low-order (LO) munition functioning are susceptible to dissolution and potential mobilization into groundwater and surface water. We command-initiated three mortar munitions as LO in triplicate using a fuze simulator and recovered particles from an ice surface to constrain LO particle characteristics. Total explosive mass recovery (19–55%) and spatial distribution (0->20 m) varied significantly both between munitions and between replicate LOs of the same munition. The median particle size (0.27–3.99 mm) varied with total mass recovery. In gener

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10

Lawson. L51597 Feasibility Study of New Technology for Intake Air Filtration. Pipeline Research Council International, Inc. (PRCI), 1989. http://dx.doi.org/10.55274/r0010105.

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Abstract (sommario):

Inlet air filters are widely used to remove solids and liquid droplets from the ambient air before it enters the compressor of a gas turbine. Clean inlet air provides many advantages: Less corrosion of the compressor and of gas-path hot parts, such as the turbine, decreased compressor fouling, less erosion of the compressor bladeThese in turn prevent deterioration of output and heat rate, and reduce maintenance costs. Compressor fouling is caused by the ingestion of substances that deposit and adhere to blade surfaces, resulting in reduced aerodynamic efficiency and decreased available output.

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