Numerical Methods for Inverse Solution in Aerodynamic Design of Turbomachinery

Author(s):  
Naixing Chen
Author(s):  
J. D. Denton ◽  
W. N. Dawes

Computational fluid dynamics (CFD) probably plays a greater part in the aerodynamic design of turbomachinery than it does in any other engineering application. For many years the design of a modern turbine or compressor has been unthinkable without the help of CFD and this dependence has increased as more of the flow becomes amenable to numerical prediction. The benefits of CFD range from shorter design cycles to better performance and reduced costs and weight. This paper presents a review of the main CFD methods in use, discusses their advantages and limitations and points out where further developments are required. The paper is concerned with the application of CFD and does not describe the numerical methods or turbulence modelling in any detail.


1987 ◽  
Vol 109 (1) ◽  
pp. 42-49 ◽  
Author(s):  
K. H. Hunt

There are, it seems, several notions, widely but not universally accepted, that hamper the full velocity determination of serial robot arms: (a) that certain generally based rules must be rigorously followed to establish a configuration pattern for any particular robot; (b) that, when things get difficult, there is no alternative to numerical methods; (c) that little can be gained from carefully examining the relevance of certain fundamentals of kinematic geometry. The more usual serial arms can, however, be analyzed elegantly, but only when elementary screw theory is recognized as being both essential and ubiquitous. Then, with the aid of the coordinate transformation for screws, the inverse velocity problem can be simply formulated analytically. Certain other matters, such as closure determination and proximity to special configurations, are touched upon.


2019 ◽  
Author(s):  
Rajesh Kumar Gupta
Keyword(s):  

Author(s):  
M. M. Klunnikova

The work is devoted to the consideration of improving the quality of teaching students the discipline “Numerical methods” through the development of the cognitive component of computational thinking based on blended learning. The article presents a methodology for the formation of computational thinking of mathematics students, based on the visualization of algorithmic design schemes and the activation of the cognitive independence of students. The characteristic of computational thinking is given, the content and structure of computational thinking are shown. It is argued that a student with such a mind is able to manifest himself in his professional field in the best possible way. The results of the application of the technique are described. To determine the level of development of the cognitive component of computational thinking, a diagnostic model has been developed based on measuring the content, operational and motivational components. It is shown that the proposed method of developing computational thinking of students, taking into account the individual characteristics of students’ thinking, meaningfully based on the theoretical and practical aspects of studying the discipline, increases the effectiveness of learning the course “Numerical methods”. The materials of the article are of practical value for teachers of mathematical disciplines who use information and telecommunication technologies in their professional activities.


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