Application of big data and data driven control in additive manufacturing
controlling of microstructural features is possible by changing of additive manufacturing process parameters. The purpose of this paper is the application investigation of manufacturing process data analysis in process parameters during manufacturing of parts. In this paper, microstructural defect such as grain misorientation is presented, and then the effect of microstructural and manufacturing parameters control on elimination of these defects is studied. In-situ controlling of microstructural features is possible by using data of thermographic imaging during the additive manufacturing process. Forecasting of microstructural and mechanical properties is possible by developing a system for gathering and analysis of manufacturing data during the process.
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