FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2948453390> ?p ?o ?g. }

• W2948453390 endingPage "129" @default.
• W2948453390 startingPage "113" @default.
• W2948453390 abstract "Abstract Exposures to airborne particles and toxic gases generated by welding fabrication activities will potentially lead to various diseases. Accurate information on the transport and deposition of such aerosols in the respiratory system is critically needed for precise health risk assessments. To address the data demand mentioned above, a multiscale computational fluid-particle dynamics (CFPD) model was developed in this study. Specifically, a virtual fabrication shop was integrated with a virtual human in the numerical model to evaluate the effects of ventilation condition, particle size, and gas species on the lung uptakes of those welding fume particles and gases. Welding fume particle and gases transmission, transport, and deposition have been simulated and analyzed starting from the emission source to the subject-specific human respiratory system via oral inhalation. Spherical iron particles with diameters of 100, 190, and 830 nm were simulated. The transport and absorption of NOx and CO were predicted too. Steady-state inhalation with 11.87 L/min was applied with two different air filter ventilation conditions. The numerical results indicate that the ventilation condition can significantly influence welding gas transport and deposition. The pulmonary gas absorption rate is much higher at poor ventilation conditions. The air-tissue absorption coefficient is another crucial factor that can impact pulmonary gas absorption. The total particle deposition fractions (TDFs) from mouth/nose to generation 6 (G6) are less than 18.0%, and particles mostly deposit in the oral cavity. Regional and local particle deposition data demonstrate that particles tend to enter the two upper lobes more than the other three lobes. In summary, this study paves the way to build a personalized in silico tool based on CFPD models for noninvasive precise health risk assessments associated with different welding activities." @default.
• W2948453390 created "2019-06-14" @default.
• W2948453390 creator A5015963016 @default.
• W2948453390 creator A5035942767 @default.
• W2948453390 creator A5042241049 @default.
• W2948453390 creator A5059025435 @default.
• W2948453390 creator A5075946040 @default.
• W2948453390 date "2019-09-01" @default.
• W2948453390 modified "2023-10-17" @default.
• W2948453390 title "Numerical simulation of welding fume lung dosimetry" @default.
• W2948453390 cites W1623532987 @default.
• W2948453390 cites W1915635001 @default.
• W2948453390 cites W1974076107 @default.
• W2948453390 cites W1974097079 @default.
• W2948453390 cites W1995054410 @default.
• W2948453390 cites W2000108132 @default.
• W2948453390 cites W2000918214 @default.
• W2948453390 cites W2003366520 @default.
• W2948453390 cites W2005819285 @default.
• W2948453390 cites W2014088917 @default.
• W2948453390 cites W2020355569 @default.
• W2948453390 cites W2025231202 @default.
• W2948453390 cites W2030750493 @default.
• W2948453390 cites W2035616341 @default.
• W2948453390 cites W2046370810 @default.
• W2948453390 cites W2055841859 @default.
• W2948453390 cites W2055975025 @default.
• W2948453390 cites W2062727479 @default.
• W2948453390 cites W2068933712 @default.
• W2948453390 cites W2081979876 @default.
• W2948453390 cites W2084641588 @default.
• W2948453390 cites W2085517914 @default.
• W2948453390 cites W2086611131 @default.
• W2948453390 cites W2089755190 @default.
• W2948453390 cites W2094080694 @default.
• W2948453390 cites W2102914155 @default.
• W2948453390 cites W2115559534 @default.
• W2948453390 cites W2123026690 @default.
• W2948453390 cites W2126707512 @default.
• W2948453390 cites W2144487360 @default.
• W2948453390 cites W2150007071 @default.
• W2948453390 cites W2158040052 @default.
• W2948453390 cites W2159969974 @default.
• W2948453390 cites W2168941266 @default.
• W2948453390 cites W2172012864 @default.
• W2948453390 cites W2315097932 @default.
• W2948453390 cites W2337147254 @default.
• W2948453390 cites W2346796204 @default.
• W2948453390 cites W2412256970 @default.
• W2948453390 cites W2413419379 @default.
• W2948453390 cites W2565554643 @default.
• W2948453390 cites W2597924643 @default.
• W2948453390 cites W2749791179 @default.
• W2948453390 cites W2750583645 @default.
• W2948453390 cites W2764085115 @default.
• W2948453390 cites W2765312263 @default.
• W2948453390 cites W2768654481 @default.
• W2948453390 cites W2775027552 @default.
• W2948453390 cites W2781797993 @default.
• W2948453390 cites W2792259010 @default.
• W2948453390 cites W2802002150 @default.
• W2948453390 cites W2802469598 @default.
• W2948453390 cites W2804286258 @default.
• W2948453390 cites W2806816559 @default.
• W2948453390 cites W2807932053 @default.
• W2948453390 cites W2901428244 @default.
• W2948453390 cites W2941113793 @default.
• W2948453390 cites W2941429355 @default.
• W2948453390 doi "https://doi.org/10.1016/j.jaerosci.2019.05.006" @default.
• W2948453390 hasPublicationYear "2019" @default.
• W2948453390 type Work @default.
• W2948453390 sameAs 2948453390 @default.
• W2948453390 citedByCount "25" @default.
• W2948453390 countsByYear W29484533902019 @default.
• W2948453390 countsByYear W29484533902020 @default.
• W2948453390 countsByYear W29484533902021 @default.
• W2948453390 countsByYear W29484533902022 @default.
• W2948453390 countsByYear W29484533902023 @default.
• W2948453390 crossrefType "journal-article" @default.
• W2948453390 hasAuthorship W2948453390A5015963016 @default.
• W2948453390 hasAuthorship W2948453390A5035942767 @default.
• W2948453390 hasAuthorship W2948453390A5042241049 @default.
• W2948453390 hasAuthorship W2948453390A5059025435 @default.
• W2948453390 hasAuthorship W2948453390A5075946040 @default.
• W2948453390 hasConcept C116915560 @default.
• W2948453390 hasConcept C127413603 @default.
• W2948453390 hasConcept C191897082 @default.
• W2948453390 hasConcept C192562407 @default.
• W2948453390 hasConcept C19474535 @default.
• W2948453390 hasConcept C2989005 @default.
• W2948453390 hasConcept C71924100 @default.
• W2948453390 hasConcept C75088862 @default.
• W2948453390 hasConceptScore W2948453390C116915560 @default.
• W2948453390 hasConceptScore W2948453390C127413603 @default.
• W2948453390 hasConceptScore W2948453390C191897082 @default.
• W2948453390 hasConceptScore W2948453390C192562407 @default.
• W2948453390 hasConceptScore W2948453390C19474535 @default.
• W2948453390 hasConceptScore W2948453390C2989005 @default.

• next