197 research outputs found

    Machining of thermosetting composites by means of milling and drilling

    Get PDF
    Polymer composites are widely spread in machinery, construction activity, incl. production of wear plates and items of fitting systems. In process of manufacturing items from composites, the products must be machined by tools and cutters. During cutting, with mechanical and thermal loads applied, the destruction of composites takes place to deteriorate quality of products. To increase quality of products, the procedures of cutting modes calculation should be developed with introduction of correction factors considering specific properties of polymers, as well as their optimization with usage of multi-criteria methods. Β© IDOSI Publications, 2013

    Influence of particulate fillers on complex of dielectric properties of rigid and plasticized PVC compositions

    Get PDF
    The article discloses efficiency of modifying the polyvinyl chloride by organic and mineral fillers being the wastes of various industrial productions. Main dielectric properties of rigid and plasticized compositions were examined, for different combinations and ratios of modifying additives. The article displayed how the particulate fillers nature and composition influence on character and intervals of dielectric behavior modification. The results of researches were interpreted with consideration of structural-morphological composition of polyvinyl chloride, of modifying additives' nature, content and ratio. Β© IDOSI Publications, 2014

    НаправлСния ΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½ΠΈΡ Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… Π±Π°Π½ΠΊΠΎΠ² Π½Π° Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΈ РСспублики Ватарстан

    Get PDF
    The purpose of this study is to develop tools for assessing the state of regional banks and to justify decisions on the allocation of resources between their business areas by adapting existing methods of banking management to the new economic environment.The authors apply both general scientific methods (induction, deduction, analysis, synthesis) and special methods: systematic and retrospective analysis of existing developments in bank decisions.The results of the application of these methods are the mathematical models describing the functioning of the credit-deposit and transaction of commercial banks of Tatarstan in the past three years from the point of elasticity of actives and liabilities’ substitution. In the paper, we systematized the indicators of actives and liabilities of the five largest commercial banks in Tatarstan in 2019–2022, we approved the equations that characterize these actives and liabilities’ substitution elasticity in MS Excel.The conclusion is that in most cases, there is a unitary elasticity of their mutual substitution, which leads to the conclusion that the Tatarstan banking system is currently in the growth stage of a new life cycle, which began in 2014, after the Russian economy entered new realities due to sanctions pressure. The recommendations were formulated for the banks of Tatarstan in terms of improving the quality of loan portfolios in new conditions: they should improve the methods of making decisions about the loans for companies’ business activities which are first created.ЦСль исслСдования β€”Β  Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° инструмСнтария ΠΎΡ†Π΅Π½ΠΊΠΈ состояния Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… Π±Π°Π½ΠΊΠΎΠ² ΠΈ обоснования Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ ΠΎ распрСдСлСнии рСсурсов ΠΌΠ΅ΠΆΠ΄Ρƒ направлСниями ΠΈΡ… бизнСса посрСдством Π°Π΄Π°ΠΏΡ‚Π°Ρ†ΠΈΠΈ ΡΡƒΡ‰Π΅ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² банковского ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½Ρ‚Π° ΠΊ особСнностям Π½ΠΎΠ²ΠΎΠΉ экономичСской срСды. Авторы ΠΏΡ€ΠΈΠΌΠ΅Π½ΡΡŽΡ‚ ΠΊΠ°ΠΊ ΠΎΠ±Ρ‰Π΅Π½Π°ΡƒΡ‡Π½Ρ‹Π΅ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ (индукция, дСдукция, Π°Π½Π°Π»ΠΈΠ·, синтСз), Ρ‚Π°ΠΊ ΠΈ ΡΠΏΠ΅Ρ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Π΅: систСмный ΠΈ рСтроспСктивный Π°Π½Π°Π»ΠΈΠ· ΡΡƒΡ‰Π΅ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… Π½Π°Ρ€Π°Π±ΠΎΡ‚ΠΎΠΊ Π² сфСрС обоснования Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ банковского риск-ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½Ρ‚Π°. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠΌ примСнСния ΡƒΠΊΠ°Π·Π°Π½Π½Ρ‹Ρ… ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² ΡΠ²Π»ΡΡŽΡ‚ΡΡ матСматичСскиС ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΠΎΠΏΠΈΡΡ‹Π²Π°ΡŽΡ‰ΠΈΠ΅ функционирования ΠΊΡ€Π΅Π΄ΠΈΡ‚Π½ΠΎ-Π΄Π΅ΠΏΠΎΠ·ΠΈΡ‚Π½ΠΎΠ³ΠΎ ΠΈ Ρ‚Ρ€Π°Π½Π·Π°ΠΊΡ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ бизнСсов коммСрчСских Π±Π°Π½ΠΊΠΎΠ² Ватарстана Π² ΠΏΡ€ΠΎΡˆΠ΅Π΄ΡˆΠΈΠ΅ 3 Π³ΠΎΠ΄Π° с ΠΏΠΎΠ·ΠΈΡ†ΠΈΠΈ эластичности Π²Π·Π°ΠΈΠΌΠ½ΠΎΠ³ΠΎ замСщСния Ρ€Π°Π·Π½Ρ‹Ρ… Π²ΠΈΠ΄ΠΎΠ² Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ² ΠΈ пассивов. Π’ Ρ…ΠΎΠ΄Π΅ Ρ€Π°Π±ΠΎΡ‚Ρ‹ ΠΎΠ±ΠΎΠ±Ρ‰Π΅Π½Ρ‹ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ состояния Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ² ΠΈ пассивов пяти ΠΊΡ€ΡƒΠΏΠ½Π΅ΠΉΡˆΠΈΡ… коммСрчСских Π±Π°Π½ΠΊΠΎΠ² Ватарстана Π·Π° 2019–2022 Π³Π³., Π² MS Excel ΠΏΠΎΠ΄ΠΎΠ±Ρ€Π°Π½Ρ‹ уравнСния, Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΡƒΡŽΡ‰ΠΈΠ΅ ΡΠ»Π°ΡΡ‚ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ замСщСния Ρ€Π°Π·Π½Ρ‹Ρ… Π²ΠΈΠ΄ΠΎΠ² Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ² ΠΈ пассивов.Π‘Π΄Π΅Π»Π°Π½ Π²Ρ‹Π²ΠΎΠ΄, Ρ‡Ρ‚ΠΎ Π² Π±ΠΎΠ»ΡŒΡˆΠΈΠ½ΡΡ‚Π²Π΅ случаСв ΠΈΠΌΠ΅Π΅Ρ‚ мСсто Сдиничная ΡΠ»Π°ΡΡ‚ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ ΠΈΡ… Π²Π·Π°ΠΈΠΌΠ½ΠΎΠ³ΠΎ замСщСния, Ρ‡Ρ‚ΠΎ ΠΏΠΎΠ΄Π²ΠΎΠ΄ΠΈΡ‚ ΠΊ Π·Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΡŽ, Ρ‡Ρ‚ΠΎ банковская систСма Ватарстана Π² настоящСС врСмя находится Π½Π° этапС роста Π² Π½ΠΎΠ²ΠΎΠΌ ΠΆΠΈΠ·Π½Π΅Π½Π½ΠΎΠΌ Ρ†ΠΈΠΊΠ»Π΅, Π½Π°Ρ‡Π°Π²ΡˆΠ΅ΠΌΡΡ Π² 2014 Π³., послС вхоТдСния российской экономики Π² Π½ΠΎΠ²Ρ‹Π΅ Ρ€Π΅Π°Π»ΠΈΠΈ, обусловлСнныС санкционным Π΄Π°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ. Π‘Ρ„ΠΎΡ€ΠΌΡƒΠ»ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΈ для Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… Π±Π°Π½ΠΊΠΎΠ² РСспублики Ватарстан Π² части ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡ качСства ΠΊΡ€Π΅Π΄ΠΈΡ‚Π½Ρ‹Ρ… ΠΏΠΎΡ€Ρ‚Ρ„Π΅Π»Π΅ΠΉ Π² Π½ΠΎΠ²Ρ‹Ρ… условиях, Π° ΠΈΠΌΠ΅Π½Π½ΠΎ: ΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² принятия Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ ΠΎ ΠΊΡ€Π΅Π΄ΠΈΡ‚ΠΎΠ²Π°Π½ΠΈΠΈ ΠΊΠΎΡ€ΠΏΠΎΡ€Π°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… ΠΊΠ»ΠΈΠ΅Π½Ρ‚ΠΎΠ² ΠΏΠΎ Π½ΠΎΠ²Ρ‹ΠΌ создаваСмым направлСниям ΠΈΡ… бизнСса

    Generalizing Binary Solubility Data for Low-Volatile Liquids in Supercritical Fluids

    Get PDF
    EXISTING GENERALIZATION METHODS The key parameters that govern the feasibility of the separation of a mixture by supercritical fluid extraction are the binary solubilities of the components of the mixture in the extractant over a wide range of state variables. Several approaches to predicting the binary solubilities of liquids in compressed gases are known (1) where y i and y j are the concentrations (mole fractions) of the components; B ii is the second virial coefficient, which accounts for the interaction between identical molecules; B ij is the second virial cross coefficient, which accounts for the interaction between different molecules; and v m and z m are the molar volume and the compressibility of the gas phase, respectively. Within the framework of the thermodynamic similarity method, B ij is computed by various relations of the form where P cr and v cr are, respectively, the critical pressure and the critical molar volume of the component; is the characteristic temperature; and Ο‰ ij is the characteristic acentricity factor. There is a comprehensive review [2] of methods for calculating the characteristic cross parameters of mixtures, including higher order virial coefficients. Ο‰ ij is usually defined as the arithmetic mean of the acentricity factors of the mixture components. It was suggested [1] to calculate the characteristic temperature with the use of the empirical binary intermolecular interaction parameter k ij : ). = A generalized formula for k ij has been derived [1] for the interaction of organic liquids with a compressed gaseous solvent. The formula gives k ij as a function of the number of carbon atoms in the molecule of the dissolved liquid: where n is the number of carbon atoms in the molecules of dissolved n -paraffins, ketones, alcohols, and aromatic hydrocarbons. The interactions of nonpolar molecules with one another and of nonpolar molecules with polar molecules have been considered. The generalized formula is empirical, and the discrepancy between the parameters k ij obtained by experimental data processing and the generalized curve considerably exceeds the experimental error. The binary solubilities of low-volatile substances, including solids, have been represented [3] as a function of the solvent density: where y is the binary solubility (mole fraction), P is the pressure in the system, P 0 is the standard pressure, ρ is the solvent density, and ρ 0 is the standard solvent density. The parameters A and B are interrelated b

    ΠšΡ€Π΅Π΄ΠΈΡ‚Π½Ρ‹Π΅ риски российских коммСрчСских Π±Π°Π½ΠΊΠΎΠ²: Π½ΠΎΠ²Ρ‹Π΅ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Ρ‹ ΠΊ ΡƒΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΡŽ

    Get PDF
    In the realities of the modern domestic economy, the process of risk management of commercial banks associated to credit corporate customers, acquires new content. The assessment of what place in the company’s activity has a work that contributes to solving the most pressing problems of our time: environment, social and general corporate governance comes to the fore. As a result, the focus is on a group of lending risks known as ESG. Since the areas of work of clients β€” legal entities, with which these risks are associated, and described mainly by qualitative, non-formalized characteristics, a difficult task for modern bank risk-management becomes normalizing the process of their evaluation when making specific decisions on the loan. This explains the interest and relevance of this research, the object of which is the risk management subsystem for lending to corporate clients by commercial banks, the subject is the consideration of ESG factors in this process. The purpose of the paper is to develop the basics of decision-making tools in the management of bank credit risks, with this group of factors. The authors apply methods of both general scientific (induction, deduction, analysis, synthesis) and special: system and retrospective analysis of existing developments in the field of justification of decisions of bank risk management. The theoretical significance of the research results consists in a complex analysis of the role and place of ESG-risks in the overall risk landscape and the integration of environmental, social and managerial factors into credit risk assessment. Basic principles of construction of phenomenological model, used to support credit decisions by banks of corporate clients taking into account ESG-factors that influence their activity, have been developed.Π’ рСалиях соврСмСнной отСчСствСнной экономики процСсс управлСния рисками коммСрчСских Π±Π°Π½ΠΊΠΎΠ², связанными с ΠΊΡ€Π΅Π΄ΠΈΡ‚ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΊΠΎΡ€ΠΏΠΎΡ€Π°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… ΠΊΠ»ΠΈΠ΅Π½Ρ‚ΠΎΠ², ΠΎΠ±Ρ€Π΅Ρ‚Π°Π΅Ρ‚ Π½ΠΎΠ²ΠΎΠ΅ содСрТаниС. На ΠΏΠ΅Ρ€Π²Ρ‹ΠΉ ΠΏΠ»Π°Π½ Π²Ρ‹Ρ…ΠΎΠ΄ΠΈΡ‚ ΠΎΡ†Π΅Π½ΠΊΠ° Ρ‚ΠΎΠ³ΠΎ, ΠΊΠ°ΠΊΠΎΠ΅ мСсто Π² ΠΆΠΈΠ·Π½ΠΈ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ Π·Π°Π½ΠΈΠΌΠ°Π΅Ρ‚ Ρ€Π°Π±ΠΎΡ‚Π°, ΡΠΏΠΎΡΠΎΠ±ΡΡ‚Π²ΡƒΡŽΡ‰Π°Ρ Ρ€Π΅ΡˆΠ΅Π½ΠΈΡŽ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌ соврСмСнности: экологичСских (environment), ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… (social) ΠΈ ΠΎΠ±Ρ‰Π΅Π³ΠΎ ΠΊΠΎΡ€ΠΏΠΎΡ€Π°Ρ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ управлСния (governance). Π’ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ Π² Ρ†Π΅Π½Ρ‚Ρ€Π΅ внимания оказываСтся Π³Ρ€ΡƒΠΏΠΏΠ° рисков крСдитования, извСстная ΠΊΠ°ΠΊ ESG. ΠŸΠΎΡΠΊΠΎΠ»ΡŒΠΊΡƒ направлСния Ρ€Π°Π±ΠΎΡ‚Ρ‹ ΠΊΠ»ΠΈΠ΅Π½Ρ‚ΠΎΠ² β€” ΡŽΡ€ΠΈΠ΄ΠΈΡ‡Π΅ΡΠΊΠΈΡ… Π»ΠΈΡ†, с ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΌΠΈ связаны эти риски, ΠΎΠΏΠΈΡΡ‹Π²Π°ΡŽΡ‚ΡΡ Π² основном качСствСнными, Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½Ρ‹ΠΌΠΈ характСристиками, слоТной Π·Π°Π΄Π°Ρ‡Π΅ΠΉ для соврСмСнного банковского риск-ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½Ρ‚Π° становится упорядочиваниС процСсса ΠΈΡ… ΠΎΡ†Π΅Π½ΠΊΠΈ ΠΏΡ€ΠΈ принятии ΠΊΠΎΠ½ΠΊΡ€Π΅Ρ‚Π½Ρ‹Ρ… Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ ΠΎ Π²Ρ‹Π΄Π°Ρ‡Π΅ ΠΊΡ€Π΅Π΄ΠΈΡ‚Π°. Π­Ρ‚ΠΈΠΌ обусловлСна Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ Π΄Π°Π½Π½ΠΎΠ³ΠΎ исслСдования, ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠΌ ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ³ΠΎ являСтся подсистСма управлСния рисками крСдитования ΠΊΠΎΡ€ΠΏΠΎΡ€Π°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… ΠΊΠ»ΠΈΠ΅Π½Ρ‚ΠΎΠ² коммСрчСскими Π±Π°Π½ΠΊΠ°ΠΌΠΈ, ΠΏΡ€Π΅Π΄ΠΌΠ΅Ρ‚ΠΎΠΌ β€” ΡƒΡ‡Π΅Ρ‚ ESG-Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² Π² Π΄Π°Π½Π½ΠΎΠΌ процСссС. ЦСль исслСдования β€” Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° основ инструмСнтария принятия Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ Π² ΡƒΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΈ банковскими ΠΊΡ€Π΅Π΄ΠΈΡ‚Π½Ρ‹ΠΌΠΈ рисками с ΡƒΡ‡Π΅Ρ‚ΠΎΠΌ Π΄Π°Π½Π½ΠΎΠΉ Π³Ρ€ΡƒΠΏΠΏΡ‹ Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ². Авторы ΠΏΡ€ΠΈΠΌΠ΅Π½ΡΡŽΡ‚ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ ΠΊΠ°ΠΊ ΠΎΠ±Ρ‰Π΅Π½Π°ΡƒΡ‡Π½Ρ‹Π΅ (индукция, дСдукция, Π°Π½Π°Π»ΠΈΠ·, синтСз), Ρ‚Π°ΠΊ ΠΈ ΡΠΏΠ΅Ρ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Π΅: систСмный ΠΈ рСтроспСктивный Π°Π½Π°Π»ΠΈΠ· ΡΡƒΡ‰Π΅ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… Π½Π°Ρ€Π°Π±ΠΎΡ‚ΠΎΠΊ Π² сфСрС обоснования Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ банковского риск-ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½Ρ‚Π°. ВСорСтичСская Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² исслСдования Π·Π°ΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ΡΡ Π² комплСксном Π°Π½Π°Π»ΠΈΠ·Π΅ Ρ€ΠΎΠ»ΠΈ ΠΈ мСста ESG-рисков Π² ΠΎΠ±Ρ‰Π΅ΠΌ Π»Π°Π½Π΄ΡˆΠ°Ρ„Ρ‚Π΅ рисков ΠΈ ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΠΈ экологичСских, ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΈ управлСнчСских Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² Π² ΠΎΡ†Π΅Π½ΠΊΡƒ ΠΊΡ€Π΅Π΄ΠΈΡ‚Π½ΠΎΠ³ΠΎ риска. Π Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Ρ‹ Π±Π°Π·ΠΎΠ²Ρ‹Π΅ ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΡ‹ построСния фСномСнологичСской ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅ΠΌΠΎΠΉ для обоснования Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ ΠΎ ΠΊΡ€Π΅Π΄ΠΈΡ‚ΠΎΠ²Π°Π½ΠΈΠΈ Π±Π°Π½ΠΊΠ°ΠΌΠΈ ΠΊΠΎΡ€ΠΏΠΎΡ€Π°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… ΠΊΠ»ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΡƒΡ‡Π΅Ρ‚ΠΎΠΌ ESG-Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ², Π²Π»ΠΈΡΡŽΡ‰ΠΈΡ… Π½Π° ΠΈΡ… Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ

    Parameterization of microstructures in material science and material technology

    Get PDF
    The article deals with possible applications of multi-fractal parameterization of microstructures (MFP) fields of material science and welding. MFP is successfully used for fine selection of microstructures, specification of thermal treatment modes and others. Experimental data were recorded for samples manufactured from steels of austenitic class. The research also comprises data on dependence of grain size upon multi-fractal parameters of uniformity and orderliness got by other authors. The study suggests algorithm of predicting Vickers hardness on basis of multi-fractal parameterization of metallographic specimen by means of calculating the parameters of uniformity and orderliness. Program created on basis of algorithm allows analyze microstructure to determine the grain size. Β© IDOSI Publications, 2013

    Composites with improved absorption of noise and vibration

    Get PDF
    Β© 2017, Allerton Press, Inc. The development of composites based on thermosetting resins with improved vibration and noise absorption is considered. Mathematical and topological models are proposed to describe the influence of the composition on the vibration and noise absorption and elastic properties of the composites. The composition of filled epoxy, polyester, and polyurethane vibration-absorbing composites is optimized in terms of their loading, dynamic, and economic characteristics

    Special aspects of preparation of microstructure images for parametrization of welding joints

    Get PDF
    The paper discusses the implementation areas of multifractal parameterization of microstructures for metallurgy and welding purposes. The objects of investigation are welds made by argon arc welding in the austenitic steel parts. Radiographic, spectral, microstructure analysis, parameterization of microstructures and Vickers hardness test were used. The design data were acquired with MFRDrom software on the basis of the analysis of microstructure images of welding joints made from austenitic steel. It was determined how the preparation defects of thin sections (grind and polish marks) and welding defects such as pores, cracks, influence the results of parameterization of welding joint microstructures. The relations between hardness and multifractal parameters of uniformity and orderliness were established. Β© IDOSI Publications, 2014

    The influence of mineral fillers on mechanical properties of polyvinyl chloride composites

    Get PDF
    The paper reports the investigation results of tensile stress-strain properties of filled PVC composite during static and low cycle testing. The distinctive features of composite mechanical behavior depending on the content of dispersed mineral fillers which are basically industrial waste are established. It is revealed that small filler additives have a strong influence on the structural behavior that manifest itself as their abnormal change depending on the filler content. The experimental data obtained are explained based on the modern ideas about structural morphological model of base polymer structure. Β© IDOSI Publications, 2013
    • …
    corecore