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  2. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-110.pdf
    1 May 2019: 6. 2.3 Other Approaches. 6. 2.4 Adapted Smoke Point Test. 7. ... investigate any further inherent weaknesses in the test. 2 Characterization of Sooting Propensity.
  3. Weighted particle methods for the Smoluchowski coagulation equation

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-47.pdf
    1 May 2019: For these tests the LPDA as described in 1.2 wasused throughout, including for the DSA calculation used to provide a reference solution.The first flame based test compared the accuracy ... As a test case for the distribution the flame JW1.69 [15] wasused.
  4. Cambridge Centre forComputational Chemical Engineering University of…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-15.pdf
    1 May 2019: group is h(x, yni )dt (c.f. Eq. (8)), the probability that the test droplet collides with. ... approx-imately equal to the number of collisions that a test droplet undergoes beforeit leaves the cell.
  5. Web Based Experiment CET1

    https://como.ceb.cam.ac.uk/media/presentations/as631-presentation-saopaulo-2005.pdf
    1 May 2019: Extended activity. • Test of knowledge. • Challenge. • Report.
  6. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-186.pdf
    1 May 2019: 10. 3.2.3 Test Particle Coagulation & Outflow. 10. 3.3 The Algorithm. ... Figure 3 illustrates the convergence of the test particle mass density to the field.
  7. Cambridge Centre forComputational Chemical Engineering University of…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-22.pdf
    1 May 2019: 11. 5 Numerical Investigation of the Mass-Flow Algorithm 14. 5.1 The Test Simulation. ... 14. 5.2 Results of the Test Simulation. 15. 6 Simulated Systems 18.
  8. c4e-frame.dvi

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-12.pdf
    1 May 2019: n-decane 1218 4825 [3] www.ensic.u-nancy.fr/DCPR/Anglais/GCR/softwares.htm. Table 2: Initial conditions for the test system. ... We found that for the test system considered, both packages performbest for RTOL = 0.
  9. Modelling gas-phase synthesis of single-walled carbon nanotubes on…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-44.pdf
    1 May 2019: 6. 2.2 Particle Coagulation and Sintering. 9. 2.3 Parameters. 11. 3 Test Case 12. ... 22] state that they exhibit similar thermodynamic behaviour,and was varied to test its influence.
  10. GKC-frame-001.dvi

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-9.pdf
    1 May 2019: 5 Test Case. Consider the case where coalescence and breakage occur according to:. ... 25. A Solution of Test Case. To solve the equation:. c(x, t).
  11. Stochastic solution of population balance equations for reactor…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-127.pdf
    1 May 2019: For the test particle mechanism, constant inception, surface growth rates will be assumed(with NSG = 1). ... Using the test case described in the previous section, the stochastic solutions using theDSA and the SWA were generated.
  12. Degree of crosslinking in combustion carbons Preprint Cambridge…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-205.pdf
    1 May 2019: Reactive. MD. Uniaxial. tensile test. 1. Contents. 1 Introduction 3. 2 Methodology 6. ... M. Hess, and L. L. Ban. A test object and criteria for high res-olution electron microscopy.
  13. Quantitative tools for cultivating symbiosis in industrial parks; a…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-152.pdf
    1 May 2019: 12. optimize total economic benefits. Utility networks, typically comprised of steam, water and electric, have also been studiedand optimised. ... Oliveira and Antunes[138] employed economic input-output LCA (EIO-LCA) to construct a model based
  14. The Random Cloud Model

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-173.pdf
    1 May 2019: t = t τ;end. 12. 5 Test case: particle in a potential well. ... A particle number system. Process dynamics. Numerical algorithm. Test case: particle in a potential well.
  15. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-150.pdf
    1 May 2019: The growth and development of Jurong Island currently does and will continue toplay a very important role to the overall economic growth of Singapore. ... The proposed EIP expertsystemâĂŹs aim is to answer important questions from stakeholders
  16. Simulating combustion of practical fuels and blends for modern engine …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-94.pdf
    1 May 2019: a series of RON/MONexperimental tests were conducted by Shell for various tri-component blends. ... 10] Standard test method for motor octane number of spart-ignition engine fuel.
  17. An assessment of the viability of alternatives to biodiesel transport …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-216.pdf
    1 May 2019: Vermuë, and R. H. Wijffels. Microalgal pro-duction - A close look at the economics. ... M. L. Laurens. Microalgae as biodiesel & biomassfeedstocks: Review & analysis of the biochemistry, energetics & economics.
  18. Cambridge Centre forComputational Chemical Engineering University of…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-34.pdf
    1 May 2019: During these tests wefound in addition that the influence of 5% trapped residual gas (internal exhaust gasrecirculation) on CA50 and emissions was small (i.e. ... Infurther tests we established that ignition timing and combustion duration are bothmuch
  19. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-154.pdf
    1 May 2019: 4.1 Test system. 15. 4.2 Performances of the stochastic methods at different fragmentation rates. ... 47). and the rate parameters used for this test system are summarised in Table 2.
  20. Deep Kernel Learning Approach to Engine Emissions Modelling

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-243.pdf
    12 Nov 2019: Output SurrogatePercentage w/in 20% of exper. RSMETraining Blind test Total Training Blind test. ... Experiment [ppm]. Mod. el [p. pm]. IdentityTraining data (90%)Blind-test data (10%)20% error.
  21. A predictor-corrector algorithm for the coupling of stiff ODEs to a…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-58.pdf
    1 May 2019: 3.1 Error Measures. 10. 3.2 Test System. 11. 3.3 Algorithm Parameters. ... Figure 4 shows the transient behaviour of particle number density in the test system fordifferent time-step sizes.

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