■ Feature
Main mineral component of corundum brick is corundum phase, it has excellent physical property in high temperature, resistance to chemical corrosion. It is widely used in lining of ovens of petrochemical industry; bottom of steel rolling mill and in the second-stage converters of the 300000t ammonia synthesis furnaces, steel notch.
► Application:
Fused corundum block is mainly used in key parts of the industrial furnace that require high abrasion and temperature resistance, such as gliding rail bricks in steel pusher metallurgical furnaces, the tapping platform (tapping spout) style walking beam furnaces, and also as the interior for destructors.
■ Technical Data
| Item | Behaviors | ||
| TY-G93 | TY-G98 | ||
| Chemical Composition % | Al2O3 | ≥93 | ≥98.5 |
| SiO2 | ≤5.0 | ≤0.2 | |
| Fe2O3 | ≤0.1 | ≤0.1 | |
| CaO | ≤1.2 | ≤1.2 | |
| Na2O | - | - | |
| ZrO2 | - | - | |
| Cr2O3 | - | - | |
| Apparent Prosity (%) | ≤17 | ≤17 | |
| Bulk Density g/cm3 | ≥3.15 | ≥3.2 | |
| Cold Crushing Strength Mpa | ≥100 | 100 | |
| Modulus of Rupture at High Temperature 1250℃ Mpa |
≥9.5 | ≥9.5 | |
| Refractoriness ℃ | ≥1900 | ≥1850 | |
| 0.2Mpa Refractoriness Under Load T0.6 ℃ | ≥1700 | ≥1680 | |
| Reheat liner change 1600℃×3h ％ | ≤±0.2 | ≤±0.2 | |
■ 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.
