Energy Analysis And Modeling Approach For Selective Laser Melting Processes

With the proposal of 'made in China 2025'development strategy,more and more attention has been paid to the green and sustainable production in manufacturing.With unique fabrication method of manufacturing technology,Additive Manufacturing(AM)has attracted more attention of many enterprises and researchers because of its huge potential in the process of promoting sustainable manufacturing.Energy consumption is an important indicator of sustainable manufacturing,and its optimization is the key to the transformation of low carbon manufacturing.However,the application and development of AM technology is still now in the primary stage arid there is the lack of data and research about energy consumption,which make energy consumption prediction and optimization in AM is very difficult.There is no definite calculation model for energy consumption at home and abroad for specific AM process.This paper combines theoretical and experimental methods together with selective laser melting(SLM)as the object,which is one of mature fabrication technologyThe relationship between main process parameters and energy consumption in SLM process would be analyzed in detail.Based on experimental research,this paper proposes an energy consumption predictive method based on energy density.A practical energy consumption predictive model for SLM process is established to provide data and method for energy consumption calculation of AM process.Firstly,this paper mainly introduces the research background of the thesis,purpose and significance of the research.And then,this paper reviews the research status in related research and analyzes the gap of current energy consumption research of AM.The manufacturing processes are described in details based on energy consumption calculation and analysis.Later,the relationship between processing parameters and energy consumption of each sub-process is theoretically simulated and analyzed by theory and experiment and the relationship between these parameters and power and time is quantitatively analyzed through experiments.On the basis of previous research,this paper introduces an innovative model to predict energy consumption in SLM process through regression analysis.Further,the energy consumption predictive model is verified by fabricating composite parts,which proves that this model has good utility and Practicability.Finally,the applicability of this model is described in detail.The analysis of the significant degree of processing parameters on energy consumption can help to optimizing parameter design and adjust parameters with priority.In addition,the study of the influence of each parameter on the power and time has provided a good reference for the related research of SLM.This paper proposes joint analysis of parameters as methods of making energy consumption predictive model.The methods and related data will be a valuable reference for achieving energy consumption prediction and calculation in additive manufacturing.