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Deterministic grain distribution on cut-off grinding wheels
Cut-off grinding tools are subject to a significantly increased wear when applied on reinforced concrete. A strategy to compensate the wear is the application of higher grain concentrations. An alternative approach is to design tools with a deterministic grain distribution which is already realized on a special selection of cut-off grinding wheels on the market. Still, neither is a model available for the material-oriented design of deterministic grain patterns nor have the advantages of the targeted distribution already been proven so far. From scratch experiments on concrete and steel work pieces there were deduced quantifying parameters for the different material removal mechanisms of concrete and steel. These removal factors were chosen as a basis for the design of deterministic grain distributions on cut-off grinding wheels. With the help of these algorithms three prototypic, material-adapted grinding wheels were designed and produced in experimental manufacturing processes. The results of the circular sawing experiments show that the tangential forces are not significantly affected by a deterministic grain distribution. The normal forces, however, could be reduced by up to 27% with a deterministic tool design. With regard to an adapted grain concentration, the higher concentration resulting from the tool design based on the removal mechanisms of steel turned out to lead to the lowest process forces. Beside the process forces also the wear was evaluated. The stochastic tool design turned out to be most subject to steel adhesions. The deterministic tool with higher grain concentration showed the smallest amount of steel adhesions. This underlines the assumption that an adapted grain concentration combined with a deterministic grain distribution can help to improve the circular sawing process of steel-concrete compounds with regard to the resulting mechanical loads and the wear in form of steel adhesions.
Deterministic grain distribution on cut-off grinding wheels
Cut-off grinding tools are subject to a significantly increased wear when applied on reinforced concrete. A strategy to compensate the wear is the application of higher grain concentrations. An alternative approach is to design tools with a deterministic grain distribution which is already realized on a special selection of cut-off grinding wheels on the market. Still, neither is a model available for the material-oriented design of deterministic grain patterns nor have the advantages of the targeted distribution already been proven so far. From scratch experiments on concrete and steel work pieces there were deduced quantifying parameters for the different material removal mechanisms of concrete and steel. These removal factors were chosen as a basis for the design of deterministic grain distributions on cut-off grinding wheels. With the help of these algorithms three prototypic, material-adapted grinding wheels were designed and produced in experimental manufacturing processes. The results of the circular sawing experiments show that the tangential forces are not significantly affected by a deterministic grain distribution. The normal forces, however, could be reduced by up to 27% with a deterministic tool design. With regard to an adapted grain concentration, the higher concentration resulting from the tool design based on the removal mechanisms of steel turned out to lead to the lowest process forces. Beside the process forces also the wear was evaluated. The stochastic tool design turned out to be most subject to steel adhesions. The deterministic tool with higher grain concentration showed the smallest amount of steel adhesions. This underlines the assumption that an adapted grain concentration combined with a deterministic grain distribution can help to improve the circular sawing process of steel-concrete compounds with regard to the resulting mechanical loads and the wear in form of steel adhesions.
Deterministic grain distribution on cut-off grinding wheels
Denkena, B. (author) / Köhler, J. (author) / Seiffert, F. (author)
2011
6 Seiten, 4 Bilder, 10 Quellen
Conference paper
English
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