利用激光金属沉积技术开发用于复杂三维部件修复和覆层的自适应工具路径

Igor Ortiz, P. Álvarez, M. A. Montealegre, F. Cordovilla, J. Ocaña
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引用次数: 0

摘要

本文设想利用激光金属沉积增材制造技术开发用于全三维几何部件的增材修复和包覆的特定刀具路径。由于减法和增材制造方法的本质区别,传统的减法CAD-CAM程序很难适用于3D增材制造增材制造部件的合理设计和制造。开发专门适用于增材制造-增材制造工艺的CAD-CAM工具的主要关键点是需要在涂层和层生长方面具有内在的工艺稳定性,需要在整个选定的表面积上重叠量身定制的增材轨道,以及需要集成与激光、添加材料和表面特性相关的特定特征的监测和控制。基于适当设计工具的完整增材制造过程的预期结果是,不仅能够根据规定的公差满足完整的3D几何形状,而且非常重要的是,能够满足沉积材料的微观结构规范,避免存在导致部件制造或维修失效的关键默认值。此外,开发的AZALA软件必须符合制造工作站通常的几何规格,预防性地检测可能的零件-工具与零件的碰撞,并确保整个高效的制造链。
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Development of Adaptive Toolpaths for Repair and Cladding of Complex 3D Components by Laser Metal Deposition
The paper envisages the development of specific toolpaths for additive repair and cladding of full 3D geometry components by the Laser Metal Deposition Additive Manufacturing technique. Due to the essential difference between substractive and additive manufacturing approaches, the use of traditional substractive CAD-CAM programs is hardly suitable for a proper design and manufacturing of 3D additive manufactured AM’d components. The main key points for the development of CAD-CAM tools specifically applicable to Additive Manufacturing - AM processes are the need for an intrinsic process stability in terms of coating and layer growth, the need for a well-tailored additive track overlapping over the whole selected surface area and the need for integration of specific features relative to the laser, addition material and surface properties monitoring and control. The expected result of the full AM process based on the appropriate design tools is an efficient capability to meet not only the full 3D geometry according to the specified tolerances, but, very importantly, the microstructure specifications for the deposited material, avoiding the existence of critical defaults invalidating the fabrication or repair of the component. Moreover, the developed AZALA software must comply with the geometric specifications usual for manufacturing workstations, detecting preventively possible part-tool collisions with part and assuring an overall efficient manufacturing chain.
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