Complex Estimation of Strength Properties of Functional Materials on the Basis of the Analysis of Grain-Phase Structure Parameters

Gitman, M. B.; Klyuev, A.V.; Stolbov, V. Yu.; Gitman, Inna M.

doi:10.1007/s11223-017-9916-y

Cited by 8 publications

(19 citation statements)

References 7 publications

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“…The formulation and methodology of the integrated estimation of material's strength properties (sub‐problem 1) has been analysed in detail in . In particular, a new approach to the solution of this problem has been proposed, based on decomposition of the initial problem into several sub‐steps.…”

Section: Methodsmentioning

confidence: 99%

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Methodology to estimate the minimum number of experiments and key microstructural parameters in macroscopic strength properties evaluation

Gitman

Stolbov

et al. 2019

Z Angew Math Mech

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A novel methodology, based on the theory of fuzzy sets, to obtain materials with pre‐defined sets of strength properties has been analysed from the position of identifying the necessary and sufficient number of experiments needed to predict these macro characteristics and establishing which micro parameters significantly influence the macroscale results. The procedure to estimate, with a user‐defined degree of accuracy, the minimum number of experiments and significant micro parameters has been tested and verified using experimental data, obtained from digital images of material microsections under different heat treatment conditions while analysing strength properties of reinforcing steel. The results confirm the possibility of using the developed methodologies for the performance properties evaluation of materials based on the minimum number of experiments and identification of the key grain‐phase parameters.

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Section: Methodsmentioning

confidence: 99%

“…The second sub‐task (ii), in which an integrated estimation of the physico‐mechanical (macroscopic) characteristics from a set of the grain‐phase (microscopic) structure of the material can be performed, has been analysed in details in, however for readers’ benefits, the main aspects of the methodology are presented below.…”

Section: Methodsmentioning

confidence: 99%

Methodology to estimate the minimum number of experiments and key microstructural parameters in macroscopic strength properties evaluation

Gitman

Stolbov

et al. 2019

Z Angew Math Mech

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“…Introduction of factor 1 E for business planning level allows taking into account the character of production in assessment of its planning system openness degree. Given the following initial data defining the studied production system state at a timepoint taken as the start point:…”

Section: …4)mentioning

confidence: 99%

“…Let us consider a social and technical systems (STS) class, in which the social component prevails over the technical one and which are managed by various internal and external consumer groups [1,2]. Examples include production, information, and educational systems in which management the human factor is crucial.…”

Section: Introductionmentioning

confidence: 99%

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Synergetic openness as a social and technical system competitiveness parameter

Данилов

Stolbov

2017

SHS Web Conf.

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Abstract. The article introduces the general system competitiveness function in its business processes. It is assumed that in a small time period competitiveness can be viewed as a scalar function of process parameters that can be represented by system order parameters including its synergetic openness. The general problem of synergetic approach-based system openness management is set, part of which is defining optimum order parameters that improve the system competitiveness with restricted resources available. The article introduces a step-by-step management problem algorithm. Finally, a working example is made of an enterprise planning system openness degree management.

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Multi‐scale approach for strength properties estimation in functional materials

et al. 2018

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A new methodology to obtain metallic functional materials with predefined sets of strength properties has been developed. It has been shown that in order to accurately estimate set of material properties at the macro‐level, information from the micro‐level needs to be taken into account. As a result a two‐level estimation model, based on the theory of fuzzy sets, has been proposed. To demonstrate the developed methodology, a reinforcing steel has been analysed. Using microstructural information, derived from an available set of experimentally obtained digital images of material microsections under different heat treatment conditions, macroscopic strength properties of reinforcing steel have been determined.

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Complex Estimation of Strength Properties of Functional Materials on the Basis of the Analysis of Grain-Phase Structure Parameters

Cited by 8 publications

References 7 publications

Methodology to estimate the minimum number of experiments and key microstructural parameters in macroscopic strength properties evaluation

Methodology to estimate the minimum number of experiments and key microstructural parameters in macroscopic strength properties evaluation

Synergetic openness as a social and technical system competitiveness parameter

Multi‐scale approach for strength properties estimation in functional materials

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