■ Feature
►Specifications
1.Fused Magnesia Brick Refractory
2.CCS:60mpa,RUL:1700
3.Good erosion resistance
4.High quality
5.Reasonable price
►Fused Magnesia Brick Features:
Excellent performance of basic slag resistance, high refractoriness, thermal stability, anti-erosion and anti-peeling
Excellent strength of pressure bending, abrasion proof
Excellent performance of high-temperature firing, high rates of associative property, anti-erosion ability
Excellent thermal shock resistance and spalling resistance
Excellent ability of high refractoriness, anti-erosion of alkaline residue;
High temperature load of refractoriness under load. High mechanical strength
High temperature resistance excellent corrosion resistance
Resistance to spalling
The products are fused magnesia as main raw material, after a reasonable size distribution, high pressure forming, high-temperature sintering. The product has strong resistance to slag corrosion ability and high temperature dimensional stability. Mainly used in glass furnace regenerator, the upper part.
►Application:
it is mainly applied to the regenerators of glass kilns and other high temperature glass furnaces.
1.Fused Magnesia Brick Refractory
2.CCS:60mpa,RUL:1700
3.Good erosion resistance
4.High quality
5.Reasonable price
►Fused Magnesia Brick Features:
Excellent performance of basic slag resistance, high refractoriness, thermal stability, anti-erosion and anti-peeling
Excellent strength of pressure bending, abrasion proof
Excellent performance of high-temperature firing, high rates of associative property, anti-erosion ability
Excellent thermal shock resistance and spalling resistance
Excellent ability of high refractoriness, anti-erosion of alkaline residue;
High temperature load of refractoriness under load. High mechanical strength
High temperature resistance excellent corrosion resistance
Resistance to spalling
The products are fused magnesia as main raw material, after a reasonable size distribution, high pressure forming, high-temperature sintering. The product has strong resistance to slag corrosion ability and high temperature dimensional stability. Mainly used in glass furnace regenerator, the upper part.
►Application:
it is mainly applied to the regenerators of glass kilns and other high temperature glass furnaces.
■ Technical Data
►Physical and Chemical Index:
Item | Behaviors | ||||
Fused Magnesia Brick | |||||
DMZ-95 | DMZ-96 | DMZ-97 | DMZ-98 | ||
Chemical composition | MgO % | ≥95 | ≥96 | ≥97 | ≥97.5 |
SiO2 % | ≤1.5 | ≤1.2 | ≤1.0 | ≤0.5 | |
CaO % | ≤1.5 | ≤1.2 | ≤1.2 | ≤0.6 | |
Apparent Porosity % | ≤18 | ≤18 | ≤17 | ≤15 | |
Cold Crushing Strength Mpa | ≥55 | ≥60 | ≥60 | ≥60 | |
0.2Mpa Refractoriness Under Load T0.6 | ≥1650 | ≥1680 | ≥1700 | ≥1700 | |
Bulk Density g/cm3 | ≥2.95 | ≥3.0 | ≥3.05 | ≥3.05 | |
Thermal Stability 950℃ Wind cycles | ≥15 | ≥20 | ≥20 | ≥20 |
■ About Us
development history »
As adaptive case management (ACM) systems mature, we are moving beyond simple systems that allow knowledge workers to define ad hoc processes, to creating more intelligent systems that support and guide them. Knowledge workers still need to dynami-cally add information, define activities and collaborate with others in order to get their work done, but those are now just the table stakes in a world of big data and intelligent agents. To drive innovation and maintain operational efficiencies, we need to augment case work typically seen as relying primarily on human intelligence with machine intelligence. In other words, we need intelligent ACM.
Factory strength »
As adaptive case management (ACM) systems mature, we are moving beyond simple systems that allow knowledge workers to define ad hoc processes, to creating more intelligent systems that support and guide them. Knowledge workers still need to dynami-cally add information, define activities and collaborate with others in order to get their work done, but those are now just the table stakes in a world of big data and intelligent agents. To drive innovation and maintain operational efficiencies, we need to augment case work typically seen as relying primarily on human intelligence with machine intelligence. In other words, we need intelligent ACM.
Highly predictable work is easy to support using traditional programming techniques, while unpredictable work cannot be accurately scripted in advance, and thus requires the involvement of the knowledge workers themselves. The core element of Adaptive Case Management (ACM) is the support for real-time decision-making by knowledge workers.
As adaptive case management (ACM) systems mature, we are moving beyond simple systems that allow knowledge workers to define ad hoc processes, to creating more intelligent systems that support and guide them. Knowledge workers still need to dynami-cally add information, define activities and collaborate with others in order to get their work done, but those are now just the table stakes in a world of big data and intelligent agents. To drive innovation and maintain operational efficiencies, we need to augment case work typically seen as relying primarily on human intelligence with machine intelligence. In other words, we need intelligent ACM.
Factory strength »
As adaptive case management (ACM) systems mature, we are moving beyond simple systems that allow knowledge workers to define ad hoc processes, to creating more intelligent systems that support and guide them. Knowledge workers still need to dynami-cally add information, define activities and collaborate with others in order to get their work done, but those are now just the table stakes in a world of big data and intelligent agents. To drive innovation and maintain operational efficiencies, we need to augment case work typically seen as relying primarily on human intelligence with machine intelligence. In other words, we need intelligent ACM.
Highly predictable work is easy to support using traditional programming techniques, while unpredictable work cannot be accurately scripted in advance, and thus requires the involvement of the knowledge workers themselves. The core element of Adaptive Case Management (ACM) is the support for real-time decision-making by knowledge workers.