■ Feature
It is mainly made of top class silica, via shaping and burning under the high temperature, possesses high temperature resistant, high strength and low impurities, etc.
► Advantage:
1) Good thermal insulaton effects
2) Good acid erosion resistance.
3) High softening point with temperature.
4) No shrink in burn repeatedly.
Stable Capability, High Quality, Excellent Service, Competitive price is the most important advantage of our products.
► Application:
The main applications are the low temperature parts such as blast furnaces and hot blast furnaces, waste incinerators and glass melting furnaces.
■ Technical Data
► Physical and chemical index:
| Item | QG-0.8 | QG-1.0 | QG-1.1 | QG-1.15 | QG-1.2 |
| SiO2 % | ≥88 | ≥91 | ≥91 | ≥91 | ≥91 |
| Bulk Density g/cm3 | ≤0.85 | ≤1.00 | ≤1.10 | ≤1.15 | ≤1.20 |
| Cold Crushing Strength Mpa | ≥1.0 | ≥2.0 | ≥3.0 | ≥5.0 | ≥5.0 |
| 0.2Mpa Refractoriness Under Load T0.6 ℃ | ≥1400 | ≥1420 | ≥1460 | ≥1500 | ≥1520 |
| Permanent Linear Change On Reheating（%）1450℃X2h | 0～+0.5 | 0～+0.5 | 0～+0.5 | 0～+0.5 | 0～+0.5 |
| 20－1000℃ Thermal Expansich10-6/℃ | 1.3 | 1.3 | 1.3 | 1.3 | 1.3 |
| Thermal Conductivity (W/MK) 350℃ | 0.55 | 0.55 | 0.60 | 0.65 | 0.70 |
■ 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.
