2011
DOI: 10.1016/j.cherd.2010.07.004
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Modeling and multi-objective optimization of square cyclones using CFD and neural networks

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Cited by 47 publications
(16 citation statements)
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“…The computational results of the three grid types are presented in Table 4. As seen the maximum difference between the results is less than 5%, so the grid template 490,164 produces grid independent results [48]. It has been observed that even 490,164 grid provides a sufficient grid independency.…”
Section: Strategy To Reach Convergencementioning
confidence: 86%
See 1 more Smart Citation
“…The computational results of the three grid types are presented in Table 4. As seen the maximum difference between the results is less than 5%, so the grid template 490,164 produces grid independent results [48]. It has been observed that even 490,164 grid provides a sufficient grid independency.…”
Section: Strategy To Reach Convergencementioning
confidence: 86%
“…Also its successful applications in the most recent cyclone separators studies have been reported in many articles [e.g. [46][47][48]10,49] The Reynolds stress turbulence model (RSM) requires the solution of transport equations for each of the Reynolds stress components. It yields an accurate prediction on the swirl flow pattern, axial velocity, tangential velocity, cut-off diameter and pressure drop in cyclone simulations [50,31,42,10].…”
Section: Selection Of the Turbulence Modelmentioning
confidence: 99%
“…In this paper, the mapping method [17] is used to compute and nd such a point. In this method, both objective functions are mapped between 0 and 1 and, then, the norm of their sum is calculated.…”
Section: Resultsmentioning
confidence: 99%
“…NSGA II algorithm is one of the best and most complete multi-objective optimization algorithms, which is used in this paper as well. This algorithm was rst proposed by Deb et al [16], and it has been used in recent years in various engineering-related applications [17][18][19].…”
Section: Introductionmentioning
confidence: 99%
“…This visualization has been successfully used in control systems [36,37,38,15], safety systems analysis [52], and reliability engineering [50,51]. As pointed in [41], LD is one of the most useful methods for visualizing m-dimensional Pareto fronts.…”
Section: Introductionmentioning
confidence: 99%