摘要
针对失效特征与失效程度影响退役零件可再制造性问题,为了快速、准确地表征失效零件的失效程度,提出了基于从运动中恢复形状和泊松表面重建的退役零件失效特征表征方法。构建了由智能手机、Visual SFM、MeshLab和SolidWorks软件构成的实验平台,应用控制变量法和正交实验法研究了照片数量、拍摄高度、失效程度、零件形状对表征精度的影响;应用所提方法和实验平台对退役破碎锤进行了案例研究,对其失效特征进行了表征和量化实验。研究结果表明:平拍拍摄、箱体类、失效程度大的零件具有较高的重建精度和表征精度;所提方法能够准确、高效地重构退役零件,可为快速评估退役零件可再制造性提供数据支撑。
Aiming at the problems of failure characteristics and failure degree affect remanufacturability of retired parts,in order to rapid and accurate characterization of the failure of parts,a method to characterize the failure characteristics of retired parts was presented based on shape from motion and Poisson surface reconstruction.An experimental platform composed of smart phone,Visual SFM,MeshLab and SolidWorks software was constructed.The effects of the number of photos,shooting height,failure degree and part shape on the characterization accuracy were studied by using control variable method and orthogonal experiment method.The method and experimental platform were used to study the case of decommissioned crushing hammer.The results indicate that the flat shooting,box type and parts with large failure degree have higher reconstruction accuracy and characterization accuracy.The proposed method can reconstruct retired parts accurately and efficiently,and provide data support for rapid remanufacturability evaluation of retired parts.
作者
张琦
张秀芬
蔚刚
ZHANG Qi;ZHANG Xiu-fen;YU Gang(College of Mechanical Engineer,Inner Mongolia University of Technology,Hohhot 010051,China;Departmentof Teaching Practice,Inner Mongolia Technical College of Mechanics and Electrics,Hohhot 010070,China)
出处
《机电工程》
CAS
北大核心
2020年第11期1305-1310,共6页
Journal of Mechanical & Electrical Engineering
基金
国家自然科学基金资助项目(51965049,51565044)
内蒙古自治区自然科学基金资助项目(2017MS(LH)0510)
内蒙古自治区高等学校科学研究项目(NJZY19272)
内蒙古机电职业技术学院科学研究项目(NJDZJZR1813)。
关键词
从运动中恢复形状
泊松表面重建
三维重建
失效特征表征
重建精度
shape from motion(SFM)
Poisson surface reconstruction
3D reconstruction
failure characterization
reconstruction accuracy
