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Применение методов математического моделирования при решении задач энерго-и ресурсосбережения

Применение методов математического моделирования при решении задач энерго-и ресурсосбережения

Abstract

Показана необходимость применения метода математического моделирования при решении задач энерго- ресурсосбережения. На примере термообработки полимерной композиции, как наиболее энергоемкого процесса, показана возможность применения математической модели для оптимизации карбидизации (прогрев по заданному закону до 2000 0С). Разработаны программы в среде Matlab, позволяющие после введения характеристик образцов, рассчитать оптимальную скорость нагрева, полное время карбидизации и получить изделия с заданными параметрами без проведения дополнительных экспериментов, уменьшив тем самым суммарный объем токсичных выбросов более чем в два раза и расход электроэнергии более чем на 20%.

Necessity of mathematical modeling in solving tasks of energy and resource saving is shown. An example of heat treatment of polymer composite as the most energy consuming process is used to show applicability of mathematical modeling in optimization of carbidization (heating in the predetermined manner up to 2000 o). When sample parameters have been introduced programmes designed in the Matlab provide an opportunity to calculate optimum heating speed, complete carbidization time and produce items with pre set parameters without additional experiments thus reducing total amount of toxic wastes more than twice and energy consumption by more than 20%.

Keywords

МАТЕМАТИЧЕСКАЯ МОДЕЛЬ, MATLAB-ПРОГРАММЫ, ТЕРМООБРАБОТКА, ПЕНОМАТЕРИАЛЫ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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