A Diffusion Approximation and Numerical Methods for Adaptive Neuron Models with Stochastic Inputs

The work is devoted to the consideration of improving the quality of teaching students the discipline “Numerical methods” through the development of the cognitive component of computational thinking based on blended learning. The article presents a methodology for the formation of computational thinking of mathematics students, based on the visualization of algorithmic design schemes and the activation of the cognitive independence of students. The characteristic of computational thinking is given, the content and structure of computational thinking are shown. It is argued that a student with such a mind is able to manifest himself in his professional field in the best possible way. The results of the application of the technique are described. To determine the level of development of the cognitive component of computational thinking, a diagnostic model has been developed based on measuring the content, operational and motivational components. It is shown that the proposed method of developing computational thinking of students, taking into account the individual characteristics of students’ thinking, meaningfully based on the theoretical and practical aspects of studying the discipline, increases the effectiveness of learning the course “Numerical methods”. The materials of the article are of practical value for teachers of mathematical disciplines who use information and telecommunication technologies in their professional activities.

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Analysis of the Effect of Casting Residual Stress on Durability by a Combination of Different Numerical Methods

Korean Journal of Metals and Materials ◽

10.3365/kjmm.2011.49.6.468 ◽

2016 ◽

Vol 49 (6) ◽

Keyword(s):

Residual Stress ◽

Numerical Methods

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Performance study of RTV-2 Silicone Rubber Material For Soft Actuator by Experimental and Numerical methods: The Effect of Inflation Pressure and Wall Thickness

International Journal of Automotive and Mechanical Engineering ◽

10.15282/ijame.17.1.2020.01.0556 ◽

2020 ◽

Vol 17 (1) ◽

pp. 7524-7532 ◽

Cited By ~ 1

Author(s):

Deepak D. ◽

Nitesh Kumar ◽

Shreyas P. Shetty ◽

Saurabh Jain ◽

Manoj Bhat

Keyword(s):

Numerical Methods ◽

Wall Thickness ◽

Silicone Rubber ◽

Inflation Pressure ◽

Performance Study ◽

Rubber Material ◽

Soft Actuator ◽

Alternative Materials ◽

Load Carrying ◽

Influential Parameters

The expensive nature of currently used materials in the soft robotic industry demands the consideration of alternative materials for fabrication. This work investigates the performance of RTV-2 grade silicone rubber for fabrication of a soft actuator. Initially, a cylindrical actuator is fabricated using this material and its performance is experimentally assessed for different pressures. Further, parametric variations of the effect of wall thickness and inflation pressure are studied by numerical methods. Results show that, both wall thickness and inflation pressure are influential parameters which affect the elongation behaviour of the actuator. Thin (1.5 mm) sectioned actuators produced 76.97% more elongation compared to thick sectioned, but the stress induced is 89.61 % higher. Whereas, the thick sectioned actuator (6 mm) showed a higher load transmitting capability. With change in wall thickness from 1.5 mm to 6 mm, the elongation is reduced by 76.97 %, 38.35 %, 21.05 % and 11.43 % at pressure 100 kPa, 75 kPa, 50 kPa and 25 kPa respectively. The induced stress is also found reduced by 89.61 %, 86.66 %, 84.46 % and 68.68 % at these pressures. The average load carrying capacity of the actuator is found to be directly proportional to its wall thickness and inflation pressure.

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Purifiers in Dust Plasma. Comparison of Numerical Methods

Прикладная механика и техническая физика ◽

10.15372/pmtf20180507 ◽

2018 ◽

Keyword(s):

Numerical Methods ◽

Dust Plasma

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