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Energy efficiency evaluation of metal laser direct deposition based on process characteristics and empirical modeling

机译:基于过程特征和经验造型的金属激光直接沉积能效评估

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Metal laser direct deposition (MLDD) is a typical process in additive manufacturing (AM), which permits the build of complex and fully dense metallic parts by using laser to melt the metal powder layer by layer. However, the process is characterized by high energy consumption and low energy efficiency. This paper established an empirical model to characterize the relationship between process parameters and energy efficiency for MLDD based on the essence of thermodynamics physical energy conversion. Additionally, a recognition method of cross-sectional profile of the deposited layer was achieved by adding tungsten carbide (WC) powder, which greatly improved the measurement reliability. Taguchi experiment and regression identification method were applied, and the relative error of the model was less than 10%. The results show that laser power has significant influence on the process energy efficiency of MLDD. The energy efficiency of single-track multi-layer stacking (SMS) process and multi-track single-layer lapping (MSL) process increased by 5.7% and 50.3%, respectively, under the optimal process parameter condition. The proposed model can be used effectively for the energy efficiency evaluation and offer the potential for improving the sustainability of MLDD.
机译:金属激光直接沉积(MLDD)是添加剂制造(AM)的典型过程,其允许通过使用激光通过层熔化金属粉末层来构建复杂和完全致密的金属部件。然而,该过程的特征在于能耗高和低能量效率。本文建立了一个经验模型,以表征基于热力学物理能量转换的本质的MLDD工艺参数和能源效率的关系。另外,通过添加碳化钨(WC)粉末,实现了沉积层的横截面剖面的识别方法,从而大大提高了测量可靠性。应用Taguchi实验和回归鉴定方法,模型的相对误差小于10%。结果表明,激光功率对MLDD的工艺能效具有显着影响。单轨多层堆叠(SMS)工艺的能效和多轨单层研磨(MSL)过程分别在最佳过程参数条件下分别增加了5.7%和50.3%。所提出的模型可以有效地用于能效评估,并提供提高MLDD可持续性的潜力。

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