► Description
High alumina lightweight insulation brick are also known as high alumina heat insulating bricks. It is a new type of lightweight insulating material which contains approximately 48% alumina,mullite and glass phase or corundum. Light weight alumina insulating brick adopts inorganic matter as ignition loss substance in order to increase the porosity of refractory, which has such advantages as high porosity, small volume density, good insulation effect, high mechanical intensity, small thermal conductivity and long service life. For various industrial kilns & furnaces, it is a kind of essential refractory for energy saving and temperature preservation.
► Specifications
--Characterized by low bulk density,maximum service temperature is 1350C.
--High cold crushing strengh,size precision and hold the most stable and lowest thermal conductivity of all insulating refractory bricks at present.
--The total weight of the furnace body and walls thickness can be reduced effectively.
--Thermal efficiency and working condition can be improved,energy consumption can be lowered,productivity and significant economic results can be achieved.
► Application
Light Weight High Alumina Insulating Brick is widely used in lining or insulating layers of various industrial furnaces, and kilns in petrochemical, machinery, ceramic industry, such as:
--lining and insulating layer of high temperature kilns.--carbon black stove, gasifier, hydrogen manufacturing furnace and shuttle kiln,etc.
► Physical and chemical index:
Brand/ Inedx | LG-1.2 | LG-1.0 | LG-0.9 | LG-0.8 | LG-0.7 | LG-0.6 | LG-0.5 |
Al2O3,% ≥ | 48 | ||||||
Fe2O3,% ≤ | 2.0 | ||||||
Bulk Density(g/cm3) ≤ | 1.2 | 1.0 | 0.9 | 0.8 | 0.7 | 0.6 | 0.5 |
Cold Crushing Strength Mpa ≥ | 5 | 3.92 | 3.43 | 2.94 | 2.45 | 1.96 | 1.47 |
Thermal Conductivity (350℃)W/m.K ≤ | 0.55 | 0.5 | 0.45 | 0.35 | 0.35 | 0.30 | 0.25 |
Temp reheating shrinkage less than 2.0% ℃ | 1400 | 1400 | 1400 | 1400 | 1350 | 1350 | 1250 |
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.
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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.