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1

Walaszek, Milena, Julien Laurent, Paul Bois, and Adrien Wanko. "Dynamique de rétention des micropolluants par un système extensif de traitement de rejets urbains de temps de pluie stricts d’un bassin versant résidentiel." Revue des sciences de l’eau 31, no. 2 (2018): 89–95. http://dx.doi.org/10.7202/1051693ar.

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L’objectif de cette étude est le suivi du devenir des polluants majeurs et des micropolluants dans une filière rustique de traitement des eaux pluviales strictes et l’évaluation de son efficacité. Le site expérimental est localisé à Strasbourg (67, France). Les eaux de ruissellement du bassin versant résidentiel urbain (2,71 ha) sont collectées par une mare de sédimentation connectée à un filtre planté de roseaux à écoulement vertical via un déversoir flottant. Elles sont ensuite rejetées dans le cours d’eau Ostwaldergraben. Le site est équipé d’une station météo dédiée et de trois préleveurs
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2

Nuel, Maximilien, Julien Laurent, Paul Bois, et al. "Potentialité des zones humides infiltrant des eaux routières dans la nappe rhénane – étude de huit bassins de rétention et d’infiltration à Wolfisheim, Alsace." Revue des sciences de l’eau 29, no. 1 (2016): 1–8. http://dx.doi.org/10.7202/1035712ar.

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Quatre filières de rétention et d’infiltration des eaux de ruissellement situées sur la route départementale 45 (RD 451) dans le Bas-Rhin constituent l’objet de l’étude. Chaque filière est composée : d’un bassin de rétention étanchéifié et équipé d’un « peigne végétal », d’un bassin d’infiltration végétalisé et équipé de plaques lysimétriques qui permettent de récupérer les eaux infiltrées à 25 et 50 cm de profondeur et d’un piézomètre/qualitomètre pour le suivi qualitatif et quantitatif de la nappe (mesure des concentrations en hydrocarbures aromatiques polycycliques (HAP) et en métaux). Enfi
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3

Jiang, Da Hai, Guang Tao Yao, Xin Yun Zi, Hong Wei Liu, and Ming Mao. "Study on Particulate Accumulated Characteristics of Diesel Particulate Filter." Applied Mechanics and Materials 229-231 (November 2012): 331–35. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.331.

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The paper has carried out numerical simulation and experimental study on the pressure loss of filter. Based on pressure loss model of filter, research methods of particulate accumulated characteristics has proposed according to the exhaust flow, exhaust temperature and exhaust back pressure. Meanwhile, the model is important for the online calculation of accumulated particulate matters in the filters and failure monitoring of diesel particulate filter.
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4

FLANAGAN, K., P. BRANCHU, L. BOUDAHMANE, et al. "Vers une maîtrise à la source de la contamination des eaux pluviales urbaines : rétention et devenir de micropolluants dans deux ouvrages de filtration végétalisés." Techniques Sciences Méthodes, no. 12 (January 20, 2020): 65–88. http://dx.doi.org/10.36904/tsm/201912065.

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Les ouvrages de filtration végétalisés pour la gestion à la source des eaux pluviales, appelés à l’international des ouvrages de biofiltration, de biorétention ou vegetative filter strips, visent la maîtrise du flux polluant associé aux eaux pluviales urbaines. Ces ouvrages permettent le stockage, la fltration au travers d’un substrat planté et éventuellement l’infiltration de l’eau. L’efficacité épuratoire a été évaluée in situ pour deux systèmes de biofiltration, un accotement filtrant et une noue filtrante, pour un panel diversifié de polluants. Ce panel comprend des éléments traces métalliq
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5

Nguyen Huu Nhon, Y., H. Mohamed Magan, and C. Petit. "Catalytic diesel particulate filter." Applied Catalysis B: Environmental 49, no. 2 (2004): 127–33. http://dx.doi.org/10.1016/j.apcatb.2003.12.005.

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6

IJRAME, Journal. "Diesel Particulate Filter Pressure Drop." International Journal of Research in Aeronautical and Mechanical Engineering 12, no. 11 (2024): 01–17. https://doi.org/10.5281/zenodo.14047028.

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Particulate matter (PM) emitted from diesel vehicles has serious threats to the global climate, environment, and human health. Diesel particulate filters (DPFs) are currently the only effective after-treatment technology for reducing PM emissions, making it crucial to evaluate their filtration and pressure drop performance using numerical methods. This study developed and validated a lumped model based on spherical packed bed theory and Darcy’s law to describe the dynamic PM filtration process in DPFs. The model accurately predicts real-time characteristics such as wall porosity, soot lo
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7

Becker, Carsten, Bernd Reinsch, Martin Strobel, Hans-Peter Frisse, and Andreas Fritsch. "Particulate filter made of cordierite." MTZ worldwide 69, no. 6 (2008): 20–26. http://dx.doi.org/10.1007/bf03227892.

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8

McKay, Roy T. "Air Purifying Particulate Filter Respirators." AAOHN Journal 44, no. 5 (1996): 250–57. http://dx.doi.org/10.1177/216507999604400514.

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9

Koltsakis, Grigorios, Onoufrios Haralampous, Christopher Depcik, and J. Colter Ragone. "Catalyzed diesel particulate filter modeling." Reviews in Chemical Engineering 29, no. 1 (2013): 1–61. http://dx.doi.org/10.1515/revce-2012-0008.

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10

IJRAME, Journal. "Diesel Particulate Filter Dynamic Filtration." International Journal of Research in Aeronautical and Mechanical Engineering 12, no. 10 (2024): 42–57. https://doi.org/10.5281/zenodo.14042053.

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Particulate matter (PM) emitted from diesel vehicles has serious threats to the global climate, environment, and human health. Diesel particulate filters (DPFs) are currently the only effective after-treatment technology for reducing PM emissions, making it crucial to evaluate their filtration and pressure drop performance using numerical methods. This study developed and validated a lumped model based on spherical packed bed theory and Darcy’s law to describe the dynamic PM filtration process in DPFs. The model accurately predicts real-time characteristics such as wall porosity, soot lo
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11

Felchner, Benjamin, Alexander Bösswetter, Matthias Eder, and Michael Frambourg. "CO2-neutral particulate reduction in the diesel particulate filter." MTZ worldwide 71, no. 5 (2010): 46–49. http://dx.doi.org/10.1007/bf03227015.

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12

Singalandapuram Mahadevan, Boopathi, John H. Johnson, and Mahdi Shahbakhti. "Development of a Kalman filter estimator for simulation and control of particulate matter distribution of a diesel catalyzed particulate filter." International Journal of Engine Research 21, no. 5 (2018): 866–84. http://dx.doi.org/10.1177/1468087418785855.

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The knowledge of the temperature and particulate matter mass distribution is essential for monitoring the performance and durability of a catalyzed particulate filter. A catalyzed particulate filter model was developed, and it showed capability to accurately predict temperature and particulate matter mass distribution and pressure drop across the catalyzed particulate filter. However, the high-fidelity model is computationally demanding. Therefore, a reduced order multi-zone particulate filter model was developed to reduce computational complexity with an acceptable level of accuracy. In order
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13

GOLOMB, Peter. "New method for particulate matter measurement with TEOM diesel particulate mass monitor." Combustion Engines 130, no. 3 (2007): 48–51. http://dx.doi.org/10.19206/ce-117324.

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In the paper the Author pointed out, that the major number of the Particulate Mater in the exhaust gas of engines riches the sizes of less than 0.1 μm. For the better determination of the PM diameter distribution the Horiba enterprise has proposed new metering method of the gravimetric type named TEOM. In the metering system a set of fi lters with different fl ow capacity has been applied. The mass of Particulate Metter hold-up on every filter is being determined by the analysis of the filter vibration frequency. The presented method allows the measurements of the PM-mass with the accuracy of
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14

Aleksandrova, Svetlana, Jonathan Saul, Humberto Medina, et al. "Gasoline Particulate Filter Wall Permeability Testing." SAE International Journal of Engines 11, no. 5 (2018): 571–84. http://dx.doi.org/10.4271/03-11-05-0039.

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15

Friedrich, Christian, Tobias Inclán, Birgit Wilmes, Volker Brichzin, and Martin Eller. "Diesel vaporizer for particulate filter regeneration." MTZ worldwide 70, no. 5 (2009): 36–42. http://dx.doi.org/10.1007/bf03226952.

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16

SCHREWE, KLAUS, FRANK NOACK, BERND MAURER, and BETTINA BAIER. "Innovative Regeneration of Diesel Particulate Filter." MTZ worldwide 72, no. 9 (2010): 40–45. http://dx.doi.org/10.1365/s38313-011-0088-z.

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17

Maus, Wolfgang, Rolf Brück, Jan Hodgson, and Christian Vorsmann. "Electrostatic particulate filter for nanoparticle reduction." MTZ worldwide 72, no. 2 (2011): 22–27. http://dx.doi.org/10.1007/s38313-011-1035-8.

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18

Amir, Muhammad, and Mehmood Ali. "Biomass activated carbon air filter for particulate removal." Polimery 70, no. 4 (2025): 266–77. https://doi.org/10.14314/polimery.2025.4.5.

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An air filter prototype was developed, in which a polyester fabric impregnated with activated carbon (10%) obtained from biomass (banana peels, wood sawdust) was used as the filter medium. FT-IR and XRD were used to characterize the activated carbon. The filtration efficiency of the prototype filter was evaluated using the iodine absorption test, air pressure drops, moisture content, quality factor and statistical analysis. The filtration efficiency of the non-impregnated polyester fabric for PM1.0, PM2.5 and PM10.0 particles were 34%, 19% and 8%, respectively. The use of the banana peel activ
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19

Maksimov, I. M., G. V. Mavrin, A. V. Gordeev, and A. Yu Pogodin. "Active regeneration particulate filter operating cycle theoretical justification." Trudy NAMI, no. 1 (March 28, 2024): 31–44. http://dx.doi.org/10.51187/0135-3152-2024-1-31-44.

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Introduction (problem statement and relevance). Particulate filters or traps used in diesel vehicles to catch suspended particles require continuous and/or periodic regeneration in order to maintain operability. The order of diesel particulate filter loading and its regeneration can be presented in the form of an algorithm. Specific features of particulate filter functioning both in regular conditions and during active regeneration have been studied in a number of scientific papers, and the results obtained in them can be considered when developing the algorithm.The purpose of the work is deve
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20

BOHARI, Abdul Rahman, and Naoki MIZUNO. "Estimation of Particulate Loading in Diesel Particulate Filter Using Neural Network." JSME International Journal Series C 41, no. 4 (1998): 792–97. http://dx.doi.org/10.1299/jsmec.41.792.

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21

Foley, Ryan, John Johnson, Jeff Naber, and Leigh Rogoski. "Experimental Measurements of Particulate Matter Distribution in a Catalyzed Particulate Filter." Emission Control Science and Technology 1, no. 1 (2014): 32–48. http://dx.doi.org/10.1007/s40825-014-0005-4.

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22

Wang, Jiguang, Feng Xu, Li Wang, et al. "Particulate Matter Load Estimation and Distribution Characteristics of Diesel Particulate Filter." Journal of Physics: Conference Series 2528, no. 1 (2023): 012019. http://dx.doi.org/10.1088/1742-6596/2528/1/012019.

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Abstract This paper focuses on the offline electric heating regeneration technology of DPF (Diesel Particulate Filter). Based on the actual operating conditions of the airport passenger elevator, the pressure drop changes before and after the offline regeneration of DPF, the passive regeneration process during the vehicle operation, and the capture efficiency of PM and PN after the offline regeneration of DPF are studied. The DPF pressure drop increases with the operation time because of the extremely low efficiency of passive regeneration before offline regeneration, and the initial pressure
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23

Fox, John T., Kun Yang, and Robert Hunsicker. "Diesel Particulate Filter Cleaning Effectiveness: Estimated Ash Loading, Quantified Particulate Removal, and Post-cleaning Filter Pressure Drop." Emission Control Science and Technology 6, no. 1 (2019): 75–85. http://dx.doi.org/10.1007/s40825-019-00149-8.

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24

Wirojsakunchai, Ekathai, Renato Yapaulo, David E. Foster, and Michael Akard. "EM3-1: Impact of Filtration Velocities and Particulate Matter Characteristics on Diesel Particulate Filter Wall Loading Performance(EM: Exhaust Emission Control and Measurement,General Session Papers)." Proceedings of the International symposium on diagnostics and modeling of combustion in internal combustion engines 2008.7 (2008): 737–44. http://dx.doi.org/10.1299/jmsesdm.2008.7.737.

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25

M., Nawdali* I. Zarguili J. Toyir H. Zaitan S. Tahiri H. Ahlafi. "TECHNOLOGY PROGRESSES IN DIESEL EXHAUST PARTICLES CONTROL." Global Journal of Engineering Science and Research Management 3, no. 9 (2016): 54–68. https://doi.org/10.5281/zenodo.159027.

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Implementation of straight and stringent legislation of the pollutant emissions from diesel-engine vehicles and exhaust after-treatment technologies requires the new technological development for diesel particulate matter (DPM) abatement. This article summarizes the current status of DPM control strategy. The main focus is put forward diesel particles composition, particulates formation mechanisms, the particle emissions standards, combustion control strategies and exhaust after-treatment systems for state-of-the-art DPF technologies. Also, the paper covers the DPF regeneration control methodo
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26

ZAIGRAYEV, Leonid, Yury SHEKHOVTSOV, and Oleg IGNATOV. "Research into diesel particulate filter passive regeneration under operating conditions." Combustion Engines 147, no. 4 (2011): 62–68. http://dx.doi.org/10.19206/ce-117075.

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The paper presents the design procedure and results of computational and theoretical research of passive regeneration of the diesel soot filter with a catalytic coating at different operation diesel modes. As the parameters of regeneration the accumulation rate of the filter, burning rate of soot and the maximum filter temperature have been selected. The equations for parameters represent a function of engine speed and its power, flow and temperature of the exhaust gases, and the mass of soot accumulated in the filter.
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27

Wang, Zhibin, Peng Liu, Haiming Li, Rui Li, Xiaobing Pan, and Yu Zhao. "The Development of Diesel Particulate Filter Technology." IOP Conference Series: Earth and Environmental Science 632 (January 14, 2021): 032012. http://dx.doi.org/10.1088/1755-1315/632/3/032012.

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28

Iwasaki, Shingo, Takashi Mizutani, Yukio Miyairi, Kazuya Yuuki, and Mikio Makino. "New Design Concept for Diesel Particulate Filter." SAE International Journal of Engines 4, no. 1 (2011): 527–36. http://dx.doi.org/10.4271/2011-01-0603.

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29

Miya, Masakazu. "Ecosafe System-Diesel Exhaust Particulate Filter System-." MEMBRANE 33, no. 1 (2008): 39–43. http://dx.doi.org/10.5360/membrane.33.39.

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30

Shyam, Amit, Edgar Lara-Curzio, Thomas R. Watkins, and Randy J. Parten. "Mechanical Characterization of Diesel Particulate Filter Substrates." Journal of the American Ceramic Society 91, no. 6 (2008): 1995–2001. http://dx.doi.org/10.1111/j.1551-2916.2008.02381.x.

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31

Moraal, P. E., Y. Yacoub, V. Christen, B. Carberry, and S. T. Guérin. "Diesel Particulate Filter Regeneration: Control of Calibration?" IFAC Proceedings Volumes 37, no. 22 (2004): 349–53. http://dx.doi.org/10.1016/s1474-6670(17)30368-3.

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32

Seguelong, Thierry. "Eolys to meet Diesel Particulate Filter regeneration." MTZ worldwide 63, no. 11 (2002): 18–19. http://dx.doi.org/10.1007/bf03228009.

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33

Yang, Shichun, Cheng Deng, Yanfei Gao, and Yongling He. "Diesel particulate filter design simulation: A review." Advances in Mechanical Engineering 8, no. 3 (2016): 168781401663732. http://dx.doi.org/10.1177/1687814016637328.

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34

Brunel, Olivier, Frederic Duault, Jacques Lavy, Yann Creff, and Bilal Youssef. "Smart Soot Sensor for Particulate Filter OBD." SAE International Journal of Passenger Cars - Electronic and Electrical Systems 6, no. 1 (2013): 307–27. http://dx.doi.org/10.4271/2013-01-1334.

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35

KUBO, Shuichi, Koichi KURAZONO, Hidemitsu HAYASHI, and Akihiko ASANO. "Particle Filtration Mechanism in Diesel Particulate Filter." Transactions of the Japan Society of Mechanical Engineers Series B 72, no. 721 (2006): 2103–8. http://dx.doi.org/10.1299/kikaib.72.2103.

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36

Matsunuma, K. "Development of porous metal diesel particulate filter." JSAE Review 16, no. 3 (1995): 312. http://dx.doi.org/10.1016/0389-4304(95)95027-r.

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37

Zheng, Haishan, and Jason M. Keith. "Averaging theory for diesel particulate filter regeneration." AIChE Journal 53, no. 5 (2007): 1316–24. http://dx.doi.org/10.1002/aic.11156.

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38

Pontikakis, George, and Anastassios Stamatelos. "Three-Dimensional Catalytic Regeneration Modeling of SiC Diesel Particulate Filters." Journal of Engineering for Gas Turbines and Power 128, no. 2 (2005): 421–33. http://dx.doi.org/10.1115/1.2130732.

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Increasingly stringent diesel particulate emissions standards have reestablished international interest in diesel filters, whose first series application dates back to 1985. Modern diesel engine technology, with computerized engine management systems and advanced, common rail injection systems, needs to be fully exploited to support efficient and durable diesel filter systems with catalytic aids, as standard equipment in passenger cars. Efficient system and components’ optimization requires the use of mathematical models of diesel filter performance. The three-dimensional model for the regener
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39

Chitranshi, Megha, Daniel Rui Chen, Peter Kosel, Marc Cahay, and Mark Schulz. "Flexible and Lightweight Carbon Nanotube Composite Filter for Particulate Matter Air Filtration." Nanomaterials 12, no. 22 (2022): 4094. http://dx.doi.org/10.3390/nano12224094.

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Particulate Matter (PM) has become an important source of air pollution. We proposed a flexible and lightweight carbon nanotube (CNT) composite air filter for PM removal. The developed CNT filtering layers were fabricated using a floating catalyst chemical vapor deposition (FC-CVD) synthesis process and then combined with conventional filter fabrics to make a composite air filter. Filtration performance for CNT filtering layer alone and composited with other conventional filter fabrics for particles size 0.3 μm to 2.5 μm was investigated in this study. The CNT composite filter is highly hydrop
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40

Cai, Jing, Kaspar R. Daellenbach, Cheng Wu, et al. "Characterization of offline analysis of particulate matter with FIGAERO-CIMS." Atmospheric Measurement Techniques 16, no. 5 (2023): 1147–65. http://dx.doi.org/10.5194/amt-16-1147-2023.

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Abstract. Measurements of the molecular composition of organic aerosol (OA) constituents improve our understanding of sources, formation processes, and physicochemical properties of OA. One instrument providing such data at a time resolution of minutes to hours is the chemical ionization time-of-flight mass spectrometer with filter inlet for gases and aerosols (FIGAERO-CIMS). The technique collects particles on a filter, which are subsequently desorbed, and the evaporated molecules are ionized and analyzed in the mass spectrometer. However, long-term measurements using this technique and/or fi
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41

Khayatzadeh Mahani, Mohammad Reza, and Edris Faizabadi. "Particular nanowire superlattice as a spin filter." Physics Letters A 373, no. 43 (2009): 3994–96. http://dx.doi.org/10.1016/j.physleta.2009.09.011.

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42

Aniket, B.Kolekar, Arbaz Soudagar, Saurabh Pansare, Saurav Palekar, and Rohit Mohod. "Review on BS-VI norms and Particulate Matter emission of diesel engines." RESEARCH REVIEW International Journal of Multidisciplinary 3, no. 12 (2018): 892–97. https://doi.org/10.5281/zenodo.2531824.

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The new BS-VI norms which will bring down the NOx, HC & PM values for diesel and petrol engines.For diesel engines will have less no. of NOx, HC + NOx & PM values. The emissions from the engines will be measured in a different way than the traditional method; it will be done by use of a particulate counting machine, which will be counting the particulate matters that are coming out of the exhaust of the engines. Particulate matter consists of 3 major sub-types i.e. soot, insoluble part, and soluble part. For reducing Particulate Matter emission of diesel engines, Diesel Particulate Fil
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43

YAMAMOTO, KAZUHIRO, SHINGO SATAKE, HIROSHI YAMASHITA, NAOKI TAKADA, and MASAKI MISAWA. "LATTICE BOLTZMANN SIMULATION ON FLOW WITH SOOT ACCUMULATION IN DIESEL PARTICULATE FILTER." International Journal of Modern Physics C 18, no. 04 (2007): 528–35. http://dx.doi.org/10.1142/s0129183107010760.

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Since diesel exhaust gas has more ambient air pollutants such as NOx and particulate matters (PM) including soot, the special treatment for exhaust emission standards is needed. Recently, a diesel particulate filter (DPF) has been developed to reduce PM in the after-treatment of exhaust gas. However, since the structure of the filter is small and complex, it is impossible to examine the phenomena inside the filter experimentally. In this study, we conduct fluid simulation in the diesel filter. We use the lattice Boltzmann method. The soot accumulation is considered to simulate the PM trap in t
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44

SAITOH, KATSUMI, KOICHIRO SERA, and KOUICHI SHIMOMURA. "PIXE ANALYSIS OF NIST URBAN PARTICULATE MATTER COLLECTED ON A POLYCARBONATE MEMBRANE FILTER." International Journal of PIXE 13, no. 03n04 (2003): 141–47. http://dx.doi.org/10.1142/s0129083503000191.

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In order to confirm the accuracy of direct analysis of filter samples containing atmospheric aerosol particles collected on a polycarbonate membrane filter by PIXE, we carried out PIXE analysis on a polycarbonate membrane filter (Nuclepore®, pore size: 0.8 μm) on which was collected National Institute of Standards and Technology (NIST, USA) urban particulate matter (SRM 1648). We also investigated whether a polycarbonate membrane filter would possibly bias elemental quality determined by PIXE analysis. We found that the polycarbonate membrane filter did not bias values determined by PIXE. In t
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45

Kim, Han-Jung, Dong-In Choi, Sang-Keun Sung, et al. "Eco-Friendly Poly(Vinyl Alcohol) Nanofiber-Based Air Filter for Effectively Capturing Particulate Matter." Applied Sciences 11, no. 9 (2021): 3831. http://dx.doi.org/10.3390/app11093831.

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Due to the increasing use of polypropylene-based nonwoven dust masks and air filters, environmental problems that occur due to the plastic pollution resulting from the disposal of these materials have also increased. Hence, an eco-friendly air filter based on PVA nanofibers (NFs) was fabricated by electrospinning on a nonwoven fabric, and its performance was evaluated as a filter capable of blocking or capturing particulate matter. The quality factor of the optimized PVA NF-based air filter was found to be 0.010606 Pa−1, which is lower than that of a HEPA filter (0.015394 Pa−1), but higher tha
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46

LIU, Guanghui. "Simultaneously catalytic removal of NOx and particulate mat-ter on diesel particulate filter." Chinese Science Bulletin 48, no. 3 (2003): 305. http://dx.doi.org/10.1360/03tb9063.

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47

Liu, Guanghui, Zhen Huang, Wenfeng Shangguan, and Cunxian Yan. "Simultaneously catalytic removal of NO x and particulate matter on diesel particulate filter." Chinese Science Bulletin 48, no. 3 (2003): 305–8. http://dx.doi.org/10.1007/bf03183304.

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48

Wang, Xiu Ye, Guo Bin Li, and Nan Xu. "The Design of Exhaust Gas Cooler for Diesel Particulate Bag Filter." Applied Mechanics and Materials 737 (March 2015): 608–11. http://dx.doi.org/10.4028/www.scientific.net/amm.737.608.

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Currently, the application of bag-filter technology in controlling diesel exhaust particulate emissions has been close to practical stage. As one of the key links in bag-filter technology, engine exhaust cooling can directly influence working safety of the entire exhaust particulate filter system. Thermodynamic calculations and experimental research of water-cooled chiller has provided a feasible basis for water cooler to be used in actual diesel exhaust particulate emission control system. The cooler can make engine exhaust temperature drop from 400 to 180 . Even when engine works in high-spe
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49

Yamamoto, Kazuhiro, and Kazuki Yamauchi. "Numerical simulation of continuously regenerating diesel particulate filter." Proceedings of the Combustion Institute 34, no. 2 (2013): 3083–90. http://dx.doi.org/10.1016/j.proci.2012.06.117.

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50

Yu, Mengting, Dan Luss, and Vemuri Balakotaiah. "Analysis of ignition in a diesel particulate filter." Catalysis Today 216 (November 2013): 158–68. http://dx.doi.org/10.1016/j.cattod.2013.05.003.

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