2006•Jisuanji fangzhenRequires access

Improved optimal algorithm and simulation of temperature distribution for reheating furnace

Zhu Hui

Open publisher page 2 citations

Abstract

Under the condition of normal steel's hot rolling,optimizing temperature distribution of reheating furnace is an effective way to reduce the reheating energy consumption and it obtains the better product quality.Aiming at the defects of previous methods for temperature setting,an improved optimal algorithm for furnace's temperature distribution was proposed on the base of analyzing the reheating object and reheating mechanism.The simulation results show that the method is effective.

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What this paper is about

Under the condition of normal steel's hot rolling,optimizing temperature distribution of reheating furnace is an effective way to reduce the reheating energy consumption and it obtains the better product quality.Aiming at the defects of previous methods for temperature setting,an improved optimal algorithm for furnace's temperature distribution was proposed on the base of analyzing the reheating object and reheating mechanism.The simulation results show that the method is effective.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Under the condition of normal steel's hot rolling,optimizing temperature distribution of reheating furnace is an effective way to reduce the reheating energy consumption and it obtains the better product quality.Aiming at the defects of previous methods for temperature setting,an improved optimal algorithm for furnace's temperature distribution was proposed on the base of analyzing the reheating object and reheating mechanism.The simulation results show that the method is effective.

Key concepts: Distribution (mathematics), Base (topology), Research Object, Algorithm, Quality (philosophy), Product (mathematics), Process engineering, Computer science

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