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OPTIMIZATION ON SELECTIVE FIBER LASER SINTERING OF BIMETALLIC POWDER VIA DESIGN OF EXPERIMENTS METHOD

机译:通过实验设计优化双金属粉末的选择性光纤激光烧结

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The objective of this study is to investigate the effect of various parameters on rapid prototyping parts for processes of sintering metallic powder mixture by using Ytterbium fiber optic laser via the design of experiments (DOE) method. Experiments based on the DOE method were utilized to determine an optimal parameter setting for achieving a minimum amount of porosities in specimens during the selective laser sintering (SLS) process. Analysis of variance (ANOVA) was further conducted to identify significant factors. A regression model predicting percentages of porosities under various conditions was developed when the traditional Taguchi's approach failed to identify a feasible model due to strong interactions of controlled factors. The significant factors to the process were identified by ANOVA. Four controlled factors including pulse frequencies and scan rate of laser beams, laser power and scan line spacing with particle sizes of 75 μm of the powder mixture base material had significant influence on the sintering process. Future investigation planned to be carried out for achieving multiple quality targets such as the hardness and the density for 3D parts. The implementation of the DOE method provided a systematic approach to identify an optimal parameter setting of the SLS process; thus, the efficiency of designing optimal parameters was greatly improved. This approach could be easily extended to 3D cases by just including additional parameters into the design. Additionally, utilization of the normality analysis on the residual data ensured that the selected model was adequate and extracted all applicable information from the experimental data.
机译:这项研究的目的是通过实验设计(DOE)方法研究Y光纤激光器烧结金属粉末混合物过程中各种参数对快速成型零件的影响。利用基于DOE方法的实验来确定最佳参数设置,以在选择性激光烧结(SLS)过程中实现样品中的最小孔隙率。进一步进行了方差分析(ANOVA)以识别重要因素。当传统的田口方法由于受控因素的强烈相互作用而无法确定可行的模型时,便建立了一种预测各种条件下孔隙率百分比的回归模型。通过方差分析确定了该过程的重要因素。粉末混合物基料的粒径为75μm的脉冲频率和激光束扫描速率,激光功率和扫描线间距这四个受控因素对烧结过程有重大影响。计划进行进一步的研究以实现多个质量目标,例如3D零件的硬度和密度。 DOE方法的实施提供了一种系统的方法来识别SLS过程的最佳参数设置。因此,极大地提高了设计最佳参数的效率。只需在设计中包括其他参数,即可轻松地将此方法扩展到3D情况。另外,对残差数据进行正态分析可确保所选模型足够,并从实验数据中提取所有适用信息。

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