linear block
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Author(s):  
J. Sabo ◽  
T. Y. Kyagya ◽  
M. Solomon

In this research, we have proposed the simulation of linear block algorithm for modeling third order highly stiff problem without reduction to a system of first order ordinary differential equation, to address the weaknesses in reduction method. The method is derived using the linear block method through interpolation and collocation. The basic properties of the block method were recovered and was found to be consistent, convergent and zero-stability. The new block method is been applied to model third order initial value problems of ordinary differential equations without reducing the equations to their equivalent systems of first order ordinary differential equations. The result obtained on the process on some sampled modeled third order linear problems give better approximation than the existing methods which we compared our result with.


2021 ◽  
Vol 29 (4) ◽  
pp. 287-293
Author(s):  
Anton Panda ◽  
Volodymyr M. Anisimov ◽  
Volodymyr V. Anisimov ◽  
Konstantin Dyadyura

Abstract A significant disadvantage of parts made of linear block polyurethanes under conditions of friction contact in the presence of an aqueous medium is the intensification of hydrolysis processes and decrease in volume strength. It was proposed to slow down the hydrolysis of polyurethanes in three ways: by directed changes in chemical structure, by electromagnetic radiation of different intensities and by creation of composite materials, based on the principle of additional intermolecular crosslinking at the manufacturing and hot processing stages. The conditions for the formation of a smooth wear-resistant surface that protects the material from rapid destruction are revealed.


2021 ◽  
pp. 157-163
Author(s):  
Anirban Patra ◽  
Arindam Banerjee ◽  
Aniruddha Ghosh ◽  
Mainuck Das ◽  
Samiran Roy ◽  
...  

2021 ◽  
Vol 2021 (4) ◽  
pp. 4731-4735
Author(s):  
ANTON PANDA ◽  
◽  
VOLODYMYR MYKOLAJOVYCH ANISIMOV ◽  
VOLODYMYR VOLODYMYROVYCH ANISIMOV ◽  
KONSTANTIN DYADYURA ◽  
...  

A significant imperfection of parts made from linear block-polyurethanes under conditions of friction contact in the presence of water medium is an intensification of hydrolysis processes and reduction of bulk strength. In order to slow down the hydrolysis process, samples of the polyurethanes were subjected to three types of thermal impacts: thermal processing during some time, infrared and laser irradiations. It has been established that processing in thermal fields of different intensity allows 5-10 times increase of wear resistance of these materials during friction in water medium.


2021 ◽  
Vol 143 (35) ◽  
pp. 14106-14114 ◽  
Author(s):  
Cheng Zhang ◽  
Daniel L. Vigil ◽  
Dan Sun ◽  
Morgan W. Bates ◽  
Tessa Loman ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Feng Li ◽  
Yinsheng Luo ◽  
Naibao He ◽  
Ya Gu ◽  
Qingfeng Cao

A novel data-driven learning approach of nonlinear system represented by neural fuzzy Hammerstein-Wiener model is presented. The Hammerstein-Wiener system has two static nonlinear blocks represented by two independent neural fuzzy models surrounding a dynamic linear block described by finite impulse response model. The multisignal theory is designed for employing Hammerstein-Wiener system to separate parameter learning issues. To begin with, the output nonlinearity parameters are learned utilizing separable signal with different amplitudes. Furthermore, correlation analysis method is implemented for estimating linear block parameters using separable signal inputs and outputs; thereby, the interference of process noise is effectively handled. Finally, multi-innovation learning technology is introduced to improve system learning accuracy, and then, multi-innovation extended stochastic gradient algorithm is obtained for optimizing input nonlinearity and noise model using multi-innovation technique and gradient search method. The simulation results display that presented data-driven learning approach has the availability of learning Hammerstein-Wiener system.


Author(s):  
V.N. Anisimov ◽  
◽  
V.V. Anisimov

We showed that the development of recommendations for a reasonable choice of linear block copolyurethanes that would be optimal for given operating conditions is still intuitive and does not consider the features of the molecular structure and the nature of initial components. We suggested a new scientifically grounded approach to the creation of linear block-copolyurethanes with increased wear resistance in relation to strength, deformation, thermophysical and tribotechnical characteristics. To simplify analysis of the properties of the studied materials, a mathematical model was developed, which describes the relationship between all considered properties of materials and their structure. We proposed to assess the relationship between structure and properties of the investigated materials by using quality indexes. Maximum values of quality indexes, depending on the operating conditions, correspond to different contents of hard blocks (Pc), and, consequently, to different molecular structure of the studied polyurethanes. Thus, it is reasonable to use block-copolyurethanes based on OBGA500 with a maximum content of hard blocks (Рс>60%) for operating conditions where it is necessary to provide high strength characteristics. Polyurethanes synthesized with the formation of clusters of hard blocks in the range of 45–55% are recommended for the use as wear-resistant materials.


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