Comparison of Residual Stress Relief Processes for Crude Oil Storage Tank Roof Plates

Product name:Comparison of Residual Stress Relief Processes for Crude Oil Storage Tank Roof Plates
Keywords:Comparison of Residual Stress Relief Processes for Crude Oil Storage Tank Roof Plates
Industry:Petroleum, natural gas and chemical industry - Petroleum and natural gas industry
Process:Sheet metal - Various types of cutting
Material:Alloy steel

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Residual stress relief processes for crude oil storage tank roof plates mainly include overall heat treatment (stress relief by holding at 500℃), local heat treatment (infrared heating of the weld zone), and temperature difference stretching method (reverse stress field elimination). Overall heat treatment releases stress through recrystallization, but consumes a lot of energy. Local heat treatment can reduce stress peaks by 30%-50% and is suitable for simple welds. The temperature difference stretching method achieves 50%-70% stress relief through precise temperature control Δt, but is sensitive to process parameters.

Process selection needs to comprehensively consider the structural characteristics of the tank roof: 1) Segmented overall heat treatment is recommended for large-diameter tank roofs, combined with internal combustion heating to control deformation; 2) A combination of local heat treatment + vibration aging is recommended for complex weld areas, reducing costs by 40%; 3) The temperature difference stretching method is suitable for thin-plate structures (thickness ≤ 12mm), and heat input needs to be controlled to avoid grain coarsening. After using infrared local heat treatment on a certain 100,000 m³ storage tank, the ellipticity error of the tank roof decreased from 8‰ to 3‰.

Optimization directions include: 1) Developing digital twin models to predict stress distribution and guide process parameter optimization; 2) Introducing Hauke PT aging technology, which can achieve a stress relief rate of 80%-100%; 3) Establishing a residual stress-fatigue life correlation database to provide quantitative basis for process selection.

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