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Multi-sensor data fusion for the characterisation of laser cladded cermet coatings

机译:用于激光包覆金属陶瓷涂料的特征的多传感器数据融合

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In this work, we investigate the use of multi-sensor data fusion to characterise innovative materials combined with advanced manufacturing processes. A metal matrix composite coating produced by directed energy deposition, more specifically a Ti-6AI-4V (WC/W2C) cermet, obtained from titanium-alloy metal wire and tungsten carbide ceramic powder is selected as the test case. A wide-spectrum characterisation of chemical, microstructural, surface and mechanical properties is needed to investigate relationships with manufacturing process parameters. As multiple measurement technologies are therefore needed, a multi-sensor data fusion approach is discussed. For the test case, scanning electron microscopy, optical areal topography measurement, energy dispersive X-ray spectrometry and instrumented indentation testing to measure nano-hardness are integrated to obtain topography, microstructure, geometrical and chemical properties of the constituent phases and their spatial arrangement. The proposed method for multi-sensor data fusion focuses on co-localisation as a means to enable correlation of the datasets. In this work, the method is applied in particular to the investigation of the phases in the laser deposited cermet, and of the interfaces where the phase transitions take place.
机译:在这项工作中,我们调查了多传感器数据融合的使用,使创新材料结合使用先进的制造工艺。通过定向能量沉积产生的金属基质复合涂层,更具体地是由钛合金金属线和碳化钨陶瓷粉末获得的Ti-6ai-4V(WC / W2C)金属陶瓷作为测试用例。需要进行化学,微观结构,表面和机械性能的宽频谱表征,以研究与制造工艺参数的关系。因此需要多种测量技术,讨论多传感器数据融合方法。对于测试案例,扫描电子显微镜,光学面型形貌测量,能量分散X射线光谱法和仪表压痕测试以测量纳米硬度的集成,以获得构成阶段的形貌,微观结构,几何和化学性质及其空间排列。用于多传感器数据融合的所提出的方法侧重于协同定位作为能够相关数据集的相关性。在这项工作中,该方法特别适用于激光沉积的金属陶瓷中的相的研究,以及相位过渡发生的界面。

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