A new approach to the optimal design of industrial chemical-engineering apparatuses

2012 ◽  
Vol 46 (5) ◽  
pp. 437-445 ◽  
Author(s):  
D. S. Dvoretskii ◽  
S. I. Dvoretskii ◽  
G. M. Ostrovskii ◽  
B. B. Polyakov
Author(s):  
R. M. R. Barros ◽  
E. G. da Costa ◽  
T. V. Ferreira ◽  
J. F. Araujo ◽  
F. L. M. Andrade

2001 ◽  
Vol 16 (10) ◽  
pp. 849-854 ◽  
Author(s):  
Ashutosh Bhardwaj ◽  
Kirti Ranjan ◽  
Namrata ◽  
Sudeep Chatterji ◽  
Ajay K Srivastava ◽  
...  

2007 ◽  
Author(s):  
Elena F. Sheka ◽  
Theodore E. Simos ◽  
George Maroulis

2021 ◽  
Vol 3 (1) ◽  
pp. 52-66
Author(s):  
Serge Zacher

Following the famous third physical Newton’s laws, “for every action there is an equal and opposite re-action”, a new approach for analysis and design of dynamic systems was introduced by [Zacher, 1997] and called «Antisystem-Approach» (ASA). According to this approach, a single isolated dynamic system does not exist alone. For every dynamic system, which transfers its inputs into outputs with an operator A in one direction, there is an equal system with the same operator A, which transfers other inputs into outputs in opposite direction. The antisystem does not have to be a physical system; it can also be a mathematical model of the original system. The most important feature of ASA is the exact balance between a system and its antisystem, which is called “energy” or “intensity”. In the group theory the system and antisystem are denote as antisymmetric. They build duality, which is common in many branches of sciences as mathematics, physics, biology etc. In the twenty years since first publication of the ASA there were developed different methods and applications, which enable to simplify the engineering, analysing the antisystem instead of original system. In the proposed paper is given the definition of ASA und are shown its features. It is described, how the ASA was used in electrical and chemical engineering, automation, informatics. Only several applications will be discussed, although ASA-solutions are common and could be used for wide range of dynamic systems.


2019 ◽  
Vol 363 ◽  
pp. 66-77 ◽  
Author(s):  
Lin Xu ◽  
Baoye Song ◽  
Maoyong Cao ◽  
Yihui Xiao

1994 ◽  
Vol 116 (4) ◽  
pp. 1019-1025 ◽  
Author(s):  
G. Emch ◽  
A. Parkinson

Engineering models can and should be used to understand the effects of variability on a design. When variability is ignored, brittle designs can result that will not function properly or that will fail in service. By contrast, robust designs function properly even when subjected to off-nominal conditions. There is a need for better analytical tools to help engineers develop robust designs. In this paper we present a new approach for developing designs that are robust to variability induced by worst-case tolerances. An advantage of this approach is that tolerances may be placed on any or all model inputs, whether design variables or parameters. The method adapts nonlinear programming techniques in order to determine how a design should be modified to account for variability. We tested the method under relatively severe conditions on 13 problems, with excellent results. Using this approach, a designer can account for the effects of worst-case tolerances, making it possible to build robustness into an engineering design.


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