The latest issue is the smart factory. In order to implement this smart factory, the most fundamental element is to establish product specifications for factors affecting the product, obtain useful data to analyzed and predicted, and maintain safety. But most manufacturers have many errors. Therefore, the purpose of this study is to verify factors of product through statistical techniques and to study the process control and safety.
The diesel engine generate many pollutants such as PM(Particulate matter) and NOx(Nitrogen oxide). So the SCR(Selective catalytic reduction) must be required to meet the emission standard. The SCR catalyst market is growing rapidly, and the automobile markets using alternative energy sources are growing rapidly. This study deals with optimization of the calcination process the manufacturing process of SCR catalyst to be competitive.
The calcination process is a bottleneck and it is required to optimize productivity and accept to be safety, But we cannot trade off anything in terms of safety. We applied DOE(Design of experiments) among many research methods performed in various fields. In order to achieve quality and productivity optimization. The dependent variables in the DOE were selected as NO Conversion(%). The independent variables were selected as the calcination temperature, soaking time and fan speed RPM. the CCD(Central composite designs) constructs response surface using the data onto experience and finds optimum levels within the fitted response surfaces. Our tests are our stability guarantee and efficient together with operation.
This study deals with optimization of the calcination process the manufacturing process of SCR catalyst to be competitive.
The calcination process is a bottleneck and it is required to optimize productivity and quality. We applied DOE(Design of experiments) among many research methods performed in various fields. In order to achieve quality and productivity optimization. The dependent variables in the DOE were selected as NO Conversion (%). The independent variables were selected as the calcination temperature, soaking time and fan speed RPM. The CCD(Central composite designs) constructs response surface using the data onto experience and finds optimum levels within the fitted response surfaces.
In this study, the concrete compressive strength test conducted according to the replacement ratio of electronic arc furnace oxidizing slag. As higher substitution rate of the electronic arc furnace oxidizing slag aggregates, early concrete compressive strength development is effective and the higher the concrete compressive strength as too.