Fatigue crack fracture
is one of the main reasons for the failure
of a refractory lining in a coal-water slurry gasifier. To explore
the fracture failure behavior of a refractory lining during the operation
of a gasifier, the stress intensity factor (SIF) and
J
-integral at crack front were calculated by the finite element method,
and a crack growth model for the refractory was established. At the
same time, the effects of different crack length, depth, and angle
on the stress and SIF, as well as
J
-integral distribution
around the crack-tip, were presented. The simulation results demonstrated
that very large stresses occurring at the crack tip and the distribution
regulation of
K
I
and
J
-integral along the crack front for surface cracks were similar.
The maximum values occurred near the two ends of the crack (θ
= 0°, 180°), and the minimum values appeared near the deepest
crack front (θ = 90°).
K
I
and
J
-integral values at the same position increase with increasing
crack length and depth and decrease with the angle of crack when the
a
/
c
was kept constant. Furthermore,
J
-integral results indicated that excessive crack depths
were likely to cause destabilizing crack growth. These results have
provided a reliable theoretical basis for fracture analysis and life
prediction of the refractory lining in a gasifier.
This paper investigates impact degree of blast furnace related elements towards blast furnace gas (BFG) production. BFG is a by-product in the steel industry, which is one of the enterprise’s most essential energy resources. While because multiple factors affect BFG production it has characteristics of large fluctuations. Most works focus on finding a satisfactory method or improving the accuracy of existing methods to predict BFG production. There are no special studies on the factors that affect the production of BFG. Finding the elements that affect BFG production is benefit to production of BFG, which has a significance in economy. We propose a novel framework, combining cross recurrence plot (CRP) and cross recurrence quantification analysis (CRQA). Moreover, it supplies a general method to convert time series of BFG related data into high-dimensional space. This is the first analytical framework that attempts to reveal the inherent dynamic similarities of blast furnace gas-related elements. The experimental results demonstrate that this framework can realize the visualization of the time series. In addition, the results also identify the factor that has the greatest impact on blast furnace gas production by quantitative analysis.
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