With the development of the coking industry and the application of silica refractory bricks in coke ovens, the basic requirements of coke ovens for refractory materials are increasing day by day, especially the carbonization chambers require silica brick with high density, high thermal conductivity and High temperature compressive strength and other properties. Therefore, high thermal conductivity silica brick is a product that meets the development requirements of coke ovens. According to the structure of the coke oven, Sunrise has trial-produced new varieties such as high-density silica bricks and high thermal conductivity high-density silica bricks.
Increasing the density of silica brick is effective way to improve the quality and service life of coke oven and shorten the coking time. High-density silica brick requires porosity of finished product less than 16%, and the density of silica brick must be greater than 2.38g/cm3.
High thermal conductivity and high density silica brick is a refractory product made by adding high thermal conductivity and high density additives, such as CuO, Cu2O, TiO2, Fe2O3, etc. into its ingredients. The use of high thermal conductivity and high density silica bricks to build the coke oven can effectively shorten the coking time and increase the output of the coke oven.
Compared with traditional silica bricks, high thermal conductivity silica bricks have greatly improved in terms of structural morphology, crystal structure and physical and chemical indicators. After comparing the structure of high thermal conductivity silica brick and traditional silicon brick by 20 times, it is found that the pore diameter of high thermal conductivity silica brick is smaller and the distribution is more uniform. The gas in the pores has a lower thermal conductivity than solids, so the pores always reduce the thermal conductivity of the material. Within a certain temperature range, for a certain porosity, the smaller the porosity, the stronger the thermal conductivity.
The scale quartz content of the high thermal conductivity silicon brick is 70%, the scale silica content of the traditional silica brick is 60%, the scale quartz content of the high thermal conductivity silica brick is 10% higher than the scale silica content of the traditional silica brick, and the scale quartz is a spear-shaped double crystal, The structure is very dense, which is conducive to the improvement of thermal conductivity.
High thermal conductivity silica bricks all inherit the advantages of traditional coke oven silica bricks. On this basis, the characteristics of high thermal conductivity are further highlighted, and the performance of all aspects of high thermal conductivity silicon bricks is balanced. The use of high thermal conductivity silica bricks reduces the fuel consumption of coke ovens and reduces the emission of pollutants such as NOx. It has considerable economic and social benefits and is the new technical direction for the use of refractory materials in coke ovens in the future.
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.
