New model for large scale chemical industrial layout optimization

2020 ◽  
Vol 161 ◽  
pp. 58-71
Author(s):  
Yan Wu ◽  
Shuai Zhang ◽  
Ruiqi Wang ◽  
Yufei Wang ◽  
Xiao Feng
2019 ◽  
Vol 42 (3) ◽  
pp. 472-484 ◽  
Author(s):  
Arvind Kumar Prajapati ◽  
Rajendra Prasad

The aim of this paper is the construction of a new model reduction technique for large scale stable linear dynamic systems. It is principally focused on the dominant modes and time moments retention. This reduction implicates the translation of the overall important features confined in the large scale complete order model into the lower order system, allowing the computation of approximant denominator by using generalized pole clustering method. The approximant numerator is obtained by means of the factor division algorithm. As a result, a lower order system is obtained. To demonstrate its effectiveness, to highlight some fundamental of its features, and to accomplish its accuracy, a comparative study is done. Two standard numerical examples are taken, where approximant model computed by the proposed method is compared with the reduced order models computed from the recently proposed methods as well as well-known model reduction schemes. The paper is also emphasized on the design of compensator by using moment matching algorithm with the help of the reduced model. The design of compensator is validated and illustrated with the help of a standard numerical example taken from the literature.


Author(s):  
Wayne Strasser ◽  
Francine Battaglia ◽  
Keith Walters

Non-zonal hybrid RANS-LES models, i.e. those which do not rely on user-prescribed zones for activating RANS or LES, have shown promise in accurately resolving the energy-containing and highly anisotropic large-scale motions in complex separated flows. In particular, the recently proposed dynamic hybrid RANS-LES (DHRL) approach, a method which relies on the continuity of turbulence production through the RANS-to-LES transition zone, has been validated for several different compressible and incompressible single phase flow problems and has been found to be accurate and relatively insensitive to mesh resolution. Time-averaged source terms are used to augment the momentum balance. An added benefit of the DHRL is the ability to directly couple any combination of RANS and LES models into a hybrid model without any change to numerical treatment of the transition region. In this study, an attempt is made to extend the application of this model to multiphase flows using two open literature coaxial two-stream injectors involving non-Newtonian liquids. For the first time, the new model has been successfully implemented in a multiphase framework, combining the SST RANS model with MILES LES approach. Favre averaging is used to ensure consistency between the momentum equations and the density fluctuations. It was found that the momentum source terms must be density weighted in order to ensure stability of the solution. Primary atomization findings with a stable model are encouraging. The spray character with the new model was somewhere between that of a RANS model and the LES result. Droplet sizes, which are indicative of the shear layer energy, for the RANS model were greater than the hybrid results, which were comparable to the LES result and matched the experimental expectation. Additionally, the new approach showed a liquid core breakup length close to that expected from the literature.


2010 ◽  
Vol 408 (4) ◽  
pp. 2397-2412 ◽  
Author(s):  
Francesco Montesano ◽  
Ariel G. Sánchez ◽  
Stefanie Phleps
Keyword(s):  

2016 ◽  
Vol 7 (4) ◽  
pp. 1398-1407 ◽  
Author(s):  
Yingying Chen ◽  
Zhao Yang Dong ◽  
Ke Meng ◽  
Feng ji Luo ◽  
Zhao Xu ◽  
...  

Solar Physics ◽  
1985 ◽  
Vol 97 (1) ◽  
pp. 59-79 ◽  
Author(s):  
P. S. McIntosh ◽  
P. R. Wilson
Keyword(s):  

2008 ◽  
Vol 2008.2 (0) ◽  
pp. 167-168
Author(s):  
Yoshinori NAGAYAMA ◽  
Kazunari TAKATA ◽  
Yuji OHYA ◽  
Takashi KARASUDANI
Keyword(s):  

2003 ◽  
Vol 20 (8) ◽  
pp. 1044-1064 ◽  
Author(s):  
Matthew Gilbert ◽  
Andrew Tyas

2014 ◽  
Vol 511-512 ◽  
pp. 950-953
Author(s):  
Huan Xin Peng ◽  
Wen Kai Wang ◽  
Bin Liu

The convergence rate is very important in the distributed consensus problems, especially, for the distributed consensus algorithms based on large-scale complex networks. In order to accelerate the convergence rate of the distributed consensus algorithms, in the paper, we propose an optimized topology model by adding randomly a few shortcuts to the nearest neighbor coupling networks, and the shortcuts follow a normal distribution. By analyses and simulations, the results show that the algebraic connectivity of the new model is bigger than that of the NMW model, and the convergence rate of the distributed consensus based on the new model is higher than that based on the NMW model


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