■ Feature
Main Application
1. Mainly used as side wall lining for Al electrolysis cell, burner for Al refining furnace, garbage destructor, etc.
2. Mainly used for lower part of stack, bosh, belly lining of blast furnace and boiler linings of fluidization furnace, etc.
3. Mainly used as kiln furniture such as deck and pillars for industries of ceramics, electro-ceramics and abrasive wheel.
4. Mainly used as heat exchange pipe for high temperature kilns, heater for Al refining furnaces, tuyere sleeve for blast furnace, etc.
1. Mainly used as side wall lining for Al electrolysis cell, burner for Al refining furnace, garbage destructor, etc.
2. Mainly used for lower part of stack, bosh, belly lining of blast furnace and boiler linings of fluidization furnace, etc.
3. Mainly used as kiln furniture such as deck and pillars for industries of ceramics, electro-ceramics and abrasive wheel.
4. Mainly used as heat exchange pipe for high temperature kilns, heater for Al refining furnaces, tuyere sleeve for blast furnace, etc.
■ Technical Data
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MOR MPa |
Room temp. ≥ |
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Refractoriness under load, ℃ ≥ (0.2MPa, 0.6%) |
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■ 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.
