不同增材制造方法的计算机断层扫描比较

Paras Shah, Radu Racasan, Paul Bills
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引用次数: 73

摘要

与传统制造相比,增材制造(AM)可以使用更少的资源、更少的能耗和更短的供应链来快速制造三维物体。增材制造因其具有成本效益的方法而具有重要意义,该方法具有在原型设计和最终用户工业应用(如航空航天,汽车和医疗行业)中生产以前无法实现的几何复杂性水平的组件的能力。然而,这些工艺目前缺乏再现性和可重复性,由于不符合规格或孔隙率高,一些“打印”很可能需要返工甚至报废,从而导致结构应力失效。因此,必须实施强有力的质量体系,以显著降低这些过程的浪费水平。本研究提出了一种利用计算机断层扫描(CT)优化形状表征的人工制品,具有代表性的几何尺寸和公差特征,内部通道和结构可与热交换器中的冷却通道相媲美。在此基础上,从特征尺寸和形状分析两方面对该伪影的CT采集条件进行了优化。本文研究了CT测量与坐标测量机(CMM)参考测量的精度和能力,并重点评价了不同的增材制造方法。
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Comparison of different additive manufacturing methods using computed tomography

Additive manufacturing (AM) allows for fast fabrication of three dimensional objects with the use of considerably less resources, less energy consumption and shorter supply chain than would be the case in traditional manufacturing. AM has gained significance due to its cost effective method which boasts the ability to produce components with a previously unachievable level of geometric complexity in prototyping and end user industrial applications, such as aerospace, automotive and medical industries. However these processes currently lack reproducibility and repeatability with some ‘prints’ having a high probability of requiring rework or even scrapping due to out of specification or high porosity levels, leading to failure due to structural stresses. It is therefore imperative that robust quality systems be implemented such that the waste level of these processes can be significantly decreased. This study presents an artefact that is optimised for characterisation of form using computed tomography (CT) with representative geometric dimensioning and tolerancing features and internal channels and structures comparable to cooling channels in heat exchangers. Furthermore the optimisation of the CT acquisition conditions for this artefact are presented in light of feature dimensions and form analysis. This paper investigates the accuracy and capability of CT measurements compared with reference measurements from coordinate measuring machine (CMM), as well as focus on the evaluation of different AM methods.

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Contents Editorial Board Editorial Board Contents Comparison of surface-based and image-based quality metrics for the analysis of dimensional computed tomography data
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