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Computer-driven models

Inadequacy of Recent Computer-Driven Models for Substance Profiling... [Pg.414]

Over the last few years, there has been a proliferation of computer-driven models developed to predict product safety and environmental behavior of chemical substances. Again, however, while good results have been documented with straightforward substances, most models do not yet appear applicable to HPP type levels of insolubility, to inorganic substances, or in some cases to polymers. [Pg.414]

The power law model can be extended by including the yield value r — r0 = kyn, which is called the Herschel-BulHey model, or by adding the Newtonian limiting viscosity,. The latter is done in the Sisko model, rf + ky71-1. These two models, along with the Newtonian, Bingham, and Casson models, are often included in data-fitting software supplied for the newer computer-driven viscometers. [Pg.167]

Infrared measurements were recorded on a Perkin-Elmer Model 580B Spectrophotometer. Absorption data were obtained on NaCl crystals. Standard instrument conditions were used and a computer driven data station was used to assist in analyzing the spectra. [Pg.300]

Figure 10. Borehole temperature versus depth as measured in central Gieeidand, and as simulated by Culfey et al. (1995). The model was a coupled heat- and ice-flow computation driven by the record of the ice converted to temperature assuming a linear relation. The spatial dependence of on temperature is approximately 0.65 per mil per degree, which provides a poor fit to the data the optimal model differs from this by a factor of 2, and provides a much better fit. (A) The profile from the bed (height 0) to the surface (height 1, or -3050 m) (B) the upper portion the profiles on an expanded temperature scale. In Figure lOA, the optimal and measured curves are indistinguishable in lOB, the small differences between the optimal and measured curves indicate time-variation of the calibration of 5 0 to temperature. Figure 10. Borehole temperature versus depth as measured in central Gieeidand, and as simulated by Culfey et al. (1995). The model was a coupled heat- and ice-flow computation driven by the record of the ice converted to temperature assuming a linear relation. The spatial dependence of on temperature is approximately 0.65 per mil per degree, which provides a poor fit to the data the optimal model differs from this by a factor of 2, and provides a much better fit. (A) The profile from the bed (height 0) to the surface (height 1, or -3050 m) (B) the upper portion the profiles on an expanded temperature scale. In Figure lOA, the optimal and measured curves are indistinguishable in lOB, the small differences between the optimal and measured curves indicate time-variation of the calibration of 5 0 to temperature.
A wholistic scale-up strategy consists of a comprehensive and detailed process characterization to identify key stress factors and key parameters influencing product yield and quality the most, and of an appropriate process control and process design ensuring optimum mixing and reaction conditions, supported by appropriate knowledge and data-driven models [234,235] as well as computational tools. [Pg.31]

Simulators are developed primarily for the procedure(s) they are designed to emulate. Surgical simulators can include animal models, cadavers, synthetic and tissue-based bench models, computer/web-based simulators, video box trainers, web-based interface simulators, VR (or computer driven) part-task trainers, VR simulators that can allow the user to mimic an entire surgical procedure (whole-task trainers), hybrid simulators... [Pg.172]

Chandramouli, R., Blackburn, M. Security functional testing using an interface-driven model-based test automation approach. In Proc. of the 18th Computer Security Applications Conference, Las Vegas, USA (December 2002)... [Pg.241]

Lith, P.J. van, B.H.L. Betlem, B. Roffel (2003). Combining prior knowledge with data driven modeling of a batch distillation column including start-up. Computers Chemical Engineering, 27(7), pp. 1021-30. [Pg.438]

Computational chemistry is the modeling of all aspects of chemistry by computation rather than experiment (Paul V. R. Schleyer). The number of publications dealing with computer-driven approaches to chemistry, biochemistry, and biology is ever increasing, and computational chemistry has developed into a must have tool (C EN News, May 12, 1997). Being multifaceted and truly interdisciplinary, it sometimes is difficult to choose a suitable computational approach for a specific problem. Therefore, the Encyclopedia of Computational Chemistry (ECC) should serve both the curious novice and the expert as a comprehensive reference. [Pg.3438]

Whereas the propagation of conditions through the modeling relationships always produces consistent completions in the definition of the initial state, this may not be true with the user-driven specifications. It is possible that a valve specified by the user to be OPEN, is found by the propagation of other conditions to be CLOSED. To detect such potential inconsistencies, we have developed a dependency network (Steele, 1980) to keep track of the flow of computations during constraint propagation. The dependency network is built on the undirected graph that represents the... [Pg.77]


See other pages where Computer-driven models is mentioned: [Pg.45]    [Pg.45]    [Pg.167]    [Pg.189]    [Pg.9]    [Pg.88]    [Pg.189]    [Pg.91]    [Pg.14]    [Pg.217]    [Pg.270]    [Pg.146]    [Pg.516]    [Pg.172]    [Pg.22]    [Pg.137]    [Pg.395]    [Pg.940]    [Pg.238]    [Pg.635]    [Pg.287]    [Pg.66]    [Pg.377]    [Pg.476]    [Pg.279]    [Pg.512]    [Pg.566]    [Pg.178]    [Pg.235]    [Pg.305]    [Pg.283]    [Pg.518]    [Pg.164]    [Pg.165]    [Pg.519]    [Pg.140]   
See also in sourсe #XX -- [ Pg.414 ]




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