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激光沉积制造零件表面粗糙度预测及控制方法研究

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针对激光沉积制造(LDM)成形零件表面粗糙度高、成形质量差,以及打印后必须进行机加工等后处理的问题,自主搭建成形平台,使用"小光斑、小层厚、小粉末粒径"的工艺方法打印具有不同倾斜角度的薄壁零件,并考虑熔道搭接、层间抬升量及成形角度的影响,基于增材制造分层切片原理,给出了不同几何特征下典型薄壁零件的理论表面粗糙度预测模型,通过实际打印薄壁零件对其进行三维共聚焦观测表面形貌和粗糙度,测量验证了所提出的表面粗糙度预测模型的正确性,并在此基础上提出了激光沉积制造零件表面粗糙度的控制策略.
Research on Surface Roughness Prediction and Control Method of Laser Deposition Manufacturing Parts
Aiming at the problems of high surface roughness,poor forming quality,and post-processing such as machining after printing of laser deposition manufacturing(LDM)formed parts,the forming platform is built independently to print thin-walled parts with different inclination angles by using the process method of"small spot,small layer thickness and small powder particle size".Based on the principle of layered slicing of additive manufacturing,the theoretical surface roughness prediction model of typical thin-walled parts under different geometric characteristics is given.On this basis,the control strategy of surface roughness of laser deposition manufacturing parts is proposed.The results show that it is feasible to obtain the prediction model of the mathematical model by rotating and translating the surface roughness prediction model of the component by combining the fusion lap with the step effect.The main parameters of the roughness prediction model are the fusion lap offset,the interlayer lift and the tilt angle.When the fusion lap offset is 0.5 mm,the upper surface roughness of the part is 10.5 μm.When the interlayer lifting amount is 0.15 mm,the surface roughness of the vertical side is 12.214 μm,and the theoretical error of the surface roughness of the inclined side with the forming angle of 60° is the largest.The powder adhesion phenomenon is the main reason for the large error.

Laser deposition manufacturing(LDM)Ti-6Al-4VThin-walled partsSurface roughnessPrediction model

杨光、李昕彤、王雨时、任宇航、王向明

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沈阳航空航天大学,沈阳 110136

沈阳航空航天大学航空制造工艺数字化国防重点学科实验室,沈阳 110136

航空工业沈阳飞机设计研究所,沈阳 110035

激光沉积制造(LDM) Ti-6Al-4V 薄壁件 表面粗糙度 预测模型

2024

航空制造技术
北京航空制造工程研究所

航空制造技术

CSTPCD北大核心
影响因子:0.403
ISSN:1671-833X
年,卷(期):2024.67(14)