■ Feature
► Description:
This diatomite insulating bricks are made of high diatomite, bonding with other porous materials. Produced by our licensed technology, shaping by casting, sintering at high temperature then cutting and polishing to the demand sizes, the strength and insulating property are obviously improved.
► Application:
Diatomite insulating bricks can be used in reduction cell and hot blast pipe of various thermal equipment, which placed in the high requirement on heat-insulating.
A- standard of our supply
B- standard of GB
C- standard of industry
■ Technical Data
| Sunrise Brand | GG-0.5 | GG-0. 6 | GG-0. 7 | GG-0.8 | GG-1.0 | |
| Max Service Temperature (℃) | 900 | 900 | 900 | 900 | 900 | |
| Bulk Density (g/cm3) ≤ | 0.5 | 0.6 | 0.7 | 0.8 | 1.0 | |
| Cold Crushing Strength (Mpa) ≥ | 0.8 | 1.2 | 2.0 | 3.5 | 5.0 | |
| Reheating Linear Change (%) 900 ℃X 8Hr ≤ | 0.5 | 0.5 | 0.5 | 0.5 | 0.5 | |
| Thermal conductivity（W/m.k） | 300℃ | 0.11 | 0.15 | 0.18 | 0.20 | 0.23 |
| SiO2 (%) | 71.5 | 71.0 | 70.5 | 70.0 | 70.0 | |
| Al2O3 (%) | 16.5 | 17.0 | 17.5 | 18.0 | 18.0 | |
| Fe2O3 (%) | 4.0 | 4.2 | 4.5 | 5.0 | 5.0 | |
■ 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.
