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Mathematical modeling and energy conservation for rolling in passes
Metallurgist. 2010. Vol. 54. No. 7-8. P. 498–504.
Energy conservation during hot shape rolling can be achieved by reducing of working temperature, optimization of rolling speed and calibration schedules, including a reduction of the passes number. For this, at the design stage of technology, it is necessary to produce a targeted search of the optimum characteristics associated with the large number of preliminary estimations and calculations. The speed of algorithms and techniques witch used in the process of the search plays a key role and directly determines its effectiveness. The paper describes the method of finite element simulation of shape rolling process based on «2,5 D» techniques, which is due to the number of simplifications, allows to increase the speed of calculation considerably (by comparison with 3D modeling). To verify this technique the comparison of model results with data obtained at a metallurgical plant «Třinecké železarny» in the special industrial experiment was performed. The comparison confirmed the adequacy and effectiveness of the proposed models and computer system developed on their basis.
Keywords: математическое моделированиеMathematical simulationFast algorithmsComputer systemExperimental testingIndustrial testingБыстрые алгоритмыКомпьютерная системаПрокатка в калибрахЭкспериментальная проверкаПромышленное опробованиеЭффективность производства прокатаrolling in gruvesproduction efficiency
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A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
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