Effect of Anisotropic Yield Criterion on the Springback in Plane Strain Pure Bending

Grechnikov, F. V.; Erisov, Yaroslav; Alexandrov, Sergei

doi:10.18287/1613-0073-2016-1638-569-577

Cited by 6 publications

(5 citation statements)

References 17 publications

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“…In the context of crisis management, management decisions in the field of pricing based on methods that are sensitive to changes in economic factors come to the fore in the construction industry (Geraskin & Kuznetsova, 2020;Geras'kin & Chkhartishvili, 2017;Komarevtseva, 2017;Ramzaev et al, 2016Ramzaev et al, , 2017Ramzaev et al, , 2020. Of the modern forecasting methods with maximum sensitivity, the neural network modeling method can be distinguished as the most preferable for this parameter (Borovikov, 2001).This method is often used in various fields, for example, such as predicting optimal technological parameters in injection molding, stamping tooling (Demyanenko & Popov, 2012;Grechnikov et al, 2016;Grechnikov et al, 2018) , additive technologies (Agapovichev et al, 2017;Smelov et al, 2016), in modeling the structure of a material (Grechnikov & Khaimovich, 2015). Often these calculations are performed using BIG DATA technology (Bogdanov et al, 2018).…”

Section: Research Questionsmentioning

confidence: 99%

Forecasting Of The Cost Of Building Materials In A Volatile Market

Хаймович¹

2022

Proceedings of the III International Conference on Economic and Social Trends for Sustainability of Modern Society – (ICEST-III

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The article proposes a methodology for forecasting market price indicators of one of the main structural elements of the cost of construction material resources. Predictive models are developed taking into account changes in social and economic factors based on neural network methods. The authors provide recommendations on the use of a predictive model in managing the cost of construction products in the system of construction cost engineering. Conclusions and recommendations on the use of neural network models for predicting the cost of material resources in the system of cost engineering in construction: the developed methodology allows planning prices for building materials, taking into account changes in social and economic factors in the regional building materials market; the use of neural network predictive models of the cost of building materials is effective at various stages of the investment and construction process -when planning capital investments, when forming the estimated cost, when determining the price of contracts.

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Section: Research Questionsmentioning

confidence: 99%

Forecasting Of The Cost Of Building Materials In A Volatile Market

Хаймович¹

2022

Proceedings of the III International Conference on Economic and Social Trends for Sustainability of Modern Society – (ICEST-III

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“…A distinctive feature of martensite-aging steels is the production of quenched practically carbon-free doped martensite and its subsequent aging at a temperature of about 500 °C, accompanied by the release of intermetallic phases. This provides a combination of high strength properties with sufficient ductility and toughness [9,10]. The risk of brittle fracture at low temperatures, unlike other high-strength steels, is reduced due to the presence of nickel and low carbon content (no more than 0.03%).…”

Section: Austenitic Steel Ozh9k14n6mzdmentioning

confidence: 99%

Cast Austenitic Steels for Cryogenic Technology

Ermakov

Vologzhanina

Bobrovskij

et al. 2019

KEM

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This article presents the results of a study of martensitic steels. Studied steels: OZH9K14N6MZD, 12X18N10TL, 07X13G28ANFL. The object of the study was the optimization of properties for use in cryogenic technology. The purpose of the study is to increase the strength and service life of products for various purposes. The destruction of steel 12X18N10TL and 07X13G28ANFL was investigated. It has been established that 07X13G28ANFL steel is more preferable for cryogenic use and is recommended by the authors.

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“…On the other hand, they do not allow carrying out technical analysis of micro thin foils considering the crystallographic texture [5]. As a result, it is difficult to determine the arrangement of crystallographic texture in terms of the necessities of specific microforming processes [6,7]. However, there is short of systematic research on the micro limiting dome height [LDH] test and failure mechanism of the ultra thin foils considering the crystal orientation.…”

Section: Introductionmentioning

confidence: 99%

Effect of crystallographic texture on the forming limit in microforming of brass

Mashalkar

Nandedkar

2019

Manufacturing Rev.

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Microforming is an emerging technology to manufacture products in the light of miniaturization in several domains of industry. Plastic anisotropy is one of the material characteristics significantly affecting the micro forming process. The crystal orientation influences tensile strength, yield strength and ductility, depending on different grain sizes and principle sliding planes. The present work elaborates on the influence of the plastic anisotropic in microforming for a plane stress state condition. Yield function and constitutive equations for the anisotropic material with consideration of the crystal lattice constants and parameters of crystallography texture are proposed. The crystal orientation is considered in a subroutine VUMAT algorithm, as an internal variable based on the developed mathematical model which is implemented in Abaqus as an user material subroutine. Micro limiting dome height experimental tests for different strain paths are conducted with brass foils. The results are compared with that predicted with numerical analysis, considering critical damage and element deletions. The numerical and experimental results show a good agreement for the Alpha brass ultra-thin foils, using a set of failure criterion.

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Effect of Anisotropic Yield Criterion on the Springback in Plane Strain Pure Bending

Cited by 6 publications

References 17 publications

Forecasting Of The Cost Of Building Materials In A Volatile Market

Forecasting Of The Cost Of Building Materials In A Volatile Market

Cast Austenitic Steels for Cryogenic Technology

Effect of crystallographic texture on the forming limit in microforming of brass

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