scholarly journals Use of Triz SU-Field Models in the Process of Improving the Injector of an Internal Combustion Engine

2018 ◽  
Vol 1 (1) ◽  
pp. 257-268 ◽  
Author(s):  
Leszek Chybowski

AbstractThe article describes a method for analyzing and solving problem situations with the use of Su-Field models and 76 inventive standards. These tools are part of the “Theory of Inventive Problem Solving”. The author has presented the basic concepts of Su-Field models, including in the compilation of the most commonly used substances their fields and types of interactions in Su-Field models. The inventive standards have also been presented and grouped. Attempts have been made to solve two undesirable situations that occur during the operation of a complex technical system, which is the fuel injector of the self-ignition engine. Problem situations related to insufficient impact were modelled - too low tightening of the injector spring, and negative (harmful) interaction - erosive wear of the holes in the atomizer nozzle. Using the inventive standards of Class-1 and Class-2, general solutions to these problems have been found. After the transformation, exemplary detailed ways of solving the aforementioned problems have been presented in order to improve the design of the injector for these models. A summary and comments on the applicability of the presented methodology, regarding such complex technical systems, have also been presented.

Author(s):  
A.R. ABLAEV ◽  
E.V. KHROMOV ◽  
R.R. ABLAEV ◽  
A.P. POLYAKOV

The article investigates the issue of optimization of a complex technical system at the stage of its design using a heuristic–phenomenological approach. The analysis of the principles of complex optimization of complex technical systems is carried out. A four–level structure for the synthesis of methodological, informational and software support for complex optimization of complex technical systems is proposed, which will allow controlling the programmable parameters of complex technical systems at each stage of their design.


2019 ◽  
Vol 1 (7) ◽  
pp. 46-52 ◽  
Author(s):  
V. M. Balashov ◽  
S. A. Nazarevich ◽  
A. V. Urentsev

In conditions when the volume of government orders for defense products may significantly decline, enterprises of the radioelectronic industry are faced with the need to move to civilian product markets, which will stabilize the order portfolio and reduce macroeconomic and technological risks. The article presents the main approaches to the analysis of the trend potential of complex technical systems on the example of unmanned aerial vehicles. Methods for assessing the quality of complex technical systems at different stages of the development of the potential of complex technical systems in the structure of the life cycle are proposed. A hypothetical fragment of a chronological analysis of the potential state of complex technical systems with a planning horizon of five to ten years is presented. The proposed approaches and mathematical models make it possible to predict the potential and to optimize the consumer characteristics of complex technical systems, based on the requirements of customers, the development of their needs, as well as on the implementation of advanced standardization.


2020 ◽  
pp. 48-56
Author(s):  
Aleksey Kubarev ◽  
◽  
Aleksey Lapsar’ ◽  
Alexander Asyutikov ◽  
◽  
...  

The purpose of the article: improving the security and stability of the functioning of complex technical systems managed by critical information infrastructure objects under the conditions of a destructive information impact, using parameterized evolutionary models. Methods: synthesis of parametrized evolutionary models of significant objects of critical information infrastructure based on the Markov theory of estimation of multidimensional diffusion processes. The result: within the framework of an integrated approach to ensuring the security of complex technical systems, a parametrized evolutionary model of an object of a critical information infrastructure operating under conditions of destructive information impact has been synthesized. An approach to the development of recommendations for managing a complex technical system by means of an operational assessment of the main characteristics of the functioning of a critical information infrastructure object is proposed. A sequence has been developed for developing solutions for the operation of a complex technical system, based on an assessment of the impact level and the results of an operational calculation of the main characteristics of the functioning of a critical information infrastructure object. The results obtained make it possible to reasonably formulate technical requirements for the created or modernized means of ensuring the security of significant objects of critical information infrastructure that manage complex technical systems.


2020 ◽  
pp. 11-15
Author(s):  
A. V. Urentsev ◽  
S. A. Nazarevich

The article discusses the problems of forecasting technical and consumer characteristics at designing or modernization of complex technical systems. The model of the technique of complex technical system potential monitoring is proposed, it consists of two successive stages: analysis of technical level of the researched object relatively to its competitor and forecasting changes of consumer characteristics of the leading analogue for studied object using the moving average method. The methodology algorithm for monitoring of potential of a complex technical systems has been developed. The features of the developed methodology connected with obtaining of analytical data basing on which the enterprise becomes able to control the trends of complex technical systems modernization are indicated. Also the renewal of knowledge information bank will promote development of flexibility of small-scale production technological processes and adaptation to the factors of external competitive environment, adjusting itself to the needs of the current customer without extra human and financial resources.


Author(s):  
N G Yarushkina ◽  
V S Moshkin ◽  
I A Andreev ◽  
G I Ishmuratova

The article provides a formal description of fuzzy ontologies and features of the representation of elements of fuzzy axioms in FuzzyOWL notation. An ontological model for assessing the state of helicopter units has been developed. According to the proposed approach, the summarizing of the state of a complex technical system is carried out by means of an inference based on a fuzzy ontology. As part of this work, experiments were conducted to search for anomalous situations and search for possible faulty helicopter units using the developed approach to the integration of fuzzy time series and fuzzy ontology. The proposed approach of hybridization of fuzzy time series and fuzzy ontologies made it possible to reliably recognize anomalous situations with a certain degree of truth, and to find possible faulty aggregates corresponding to each anomalous situation.


Author(s):  
Станислав Назаревич ◽  
Stanislav Nazarevich

The article presents a summary of the method for predicting the technical potential of a complex technical system. The method consists in considering the life cycle curve in the form of a group of indicators reflecting not only the technical side of the functional characteristics of the product produced or the volume sold in a short time interval, but also indicators of competitiveness and equipment of the enterprise implementing this type of products. A model for assessing industrial competitiveness, including the interpretation of interval characteristics, is presented, and a graphical representation of the life cycle curve in an enlarged composition is also presented.


Author(s):  
Evgenia R. Muntyan

The article analyzes a number of methods of knowledge formation using various graph models, including oriented, undirected graphs with the same type of edges and graphs with multiple and different types of edges. This article shows the possibilities of using graphs to represent a three-level structure of knowledge in the field of complex technical systems modeling. In such a model, at the first level, data is formed in the form of unrelated graph vertices, at the second level – information presented by a related undirected graph, and at the third level – knowledge in the form of a set of graph paths. The proposed interpretation of the structure of knowledge allows to create new opportunities for analytical study of knowledge and information, their properties and relationships.


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