06/01340 Neural networks estimation of diesel particulate matter composition from transesterified waste oils blends

Fuel and Energy Abstracts ◽

10.1016/s0140-6701(06)81344-5 ◽

2006 ◽

Vol 47 (3) ◽

pp. 200

Keyword(s):

Neural Networks ◽

Particulate Matter ◽

Diesel Particulate Matter ◽

Diesel Particulate ◽

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Neural networks estimation of diesel particulate matter composition from transesterified waste oils blends

Fuel ◽

10.1016/j.fuel.2005.04.029 ◽

2005 ◽

Vol 84 (16) ◽

pp. 2080-2085 ◽

Author(s):

A DURAN ◽

M LAPUERTA ◽

J RODRIGUEZFERNANDEZ

Keyword(s):

Neural Networks ◽

Particulate Matter ◽

Diesel Particulate Matter ◽

Diesel Particulate ◽

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Scrubbing effect on diesel particulate matter from transesterified waste oils blends

Fuel ◽

10.1016/j.fuel.2005.10.004 ◽

2006 ◽

Vol 85 (7-8) ◽

pp. 923-928 ◽

Author(s):

A. Durán ◽

J.M. Monteagudo ◽

O. Armas ◽

J.J. Hernández

Keyword(s):

Particulate Matter ◽

Diesel Particulate Matter ◽

Diesel Particulate ◽

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287. NIOSH Method 5040: A Rugged Method for Measuring Occupational Exposures to Diesel Particulate Matter

10.3320/1.2763135 ◽

1999 ◽

Author(s):

M. Birch

Keyword(s):

Particulate Matter ◽

Occupational Exposures ◽

Diesel Particulate Matter ◽

Diesel Particulate

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Silver Nano-Particles from Diesel Particulate Matter: An Environmental Pollutant to a Potential Antimicrobial Agent and a Photocatalyst

International Journal of Scientific and Research Publications (IJSRP) ◽

10.29322/ijsrp.9.05.2019.p8992 ◽

2019 ◽

Vol 9 (5) ◽

pp. p8992

Author(s):

L. Palliyaguru ◽

M.U.S. Kulatunga ◽

K.G.U.R. Kumarasinghe ◽

S.S.N. Fernando ◽

T.D.C.P. Gunasekara ◽

...

Keyword(s):

Particulate Matter ◽

Antimicrobial Agent ◽

Environmental Pollutant ◽

Nano Particles ◽

Diesel Particulate Matter ◽

Diesel Particulate

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Workplace atmospheres. Determination of diesel particulate matter. General requirements

10.3403/03023973 ◽

2004 ◽

Keyword(s):

Particulate Matter ◽

Diesel Particulate Matter ◽

Diesel Particulate

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Effects of exhaust gas recirculation on the functional groups and oxidation characteristics of diesel particulate matter

Powder Technology ◽

10.1016/j.powtec.2019.02.016 ◽

2019 ◽

Vol 346 ◽

pp. 265-272 ◽

Author(s):

Yang Zhao ◽

Mingdi Li ◽

Zhihao Wang ◽

Guangju Xu ◽

Yinnan Yuan

Keyword(s):

Particulate Matter ◽

Functional Groups ◽

Exhaust Gas Recirculation ◽

Diesel Particulate Matter ◽

Exhaust Gas ◽

Diesel Particulate ◽

Oxidation Characteristics ◽

Gas Recirculation

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Capability of the Airstream Helmet for Protecting Mine Workers from Diesel Particulate Matter

Mining Metallurgy & Exploration ◽

10.1007/s42461-020-00352-0 ◽

2021 ◽

Author(s):

J. Noll ◽

T. Lee ◽

S. Vanderslice ◽

T. Barone

Keyword(s):

Particulate Matter ◽

Diesel Particulate Matter ◽

Diesel Particulate ◽

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Comparison of Heavy-Duty Truck Diesel Particulate Matter Measurement:TEOM and Traditional Filter

10.4271/2005-01-2153 ◽

2005 ◽

Author(s):

Shuhong Xu ◽

Nigel Clark ◽

Mridul Gautam ◽

W. Scott Wayne

Keyword(s):

Particulate Matter ◽

Diesel Particulate Matter ◽

Diesel Particulate ◽

Heavy Duty Truck

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Reduction of diesel particulate matter by oil consumption using radioisotopes measuring technique Ken Mase, Yasuhiro Ohmiya, Kenichi Yamada, Masago Yamamoto (Toyota Central R & D Labs., Inc.), Yoshihiko Masuda (Toyota Motor Corp.)

JSAE Review ◽

10.1016/s0389-4304(97)85114-4 ◽

1997 ◽

Vol 18 (2) ◽

pp. 202

Keyword(s):

Particulate Matter ◽

Measuring Technique ◽

Diesel Particulate Matter ◽

Oil Consumption ◽

Diesel Particulate

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Alumina substrate-supported electrochemical device for potential application as a diesel particulate matter sensor

Sensors and Actuators B Chemical ◽

10.1016/j.snb.2010.01.030 ◽

2010 ◽

Vol 145 (2) ◽

pp. 708-712 ◽

Author(s):

Yanbai Shen ◽

Takashi Takeuchi ◽

Shinya Teranishi ◽

Takashi Hibino

Keyword(s):

Particulate Matter ◽

Potential Application ◽

Alumina Substrate ◽

Diesel Particulate Matter ◽

Diesel Particulate ◽

Electrochemical Device

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