Influence of the accuracy of failure characterization of retired parts based on SFM

ZHANG Qi1, ZHANG Xiu-fen1, YU Gang2
(1.College of Mechanical Engineer, Inner Mongolia University of Technology, Hohhot 010051, China; 2.Department
of Teaching Practice, Inner Mongolia Technical College of Mechanics and Electrics, Hohhot 010070, China)

Abstract: 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.

Key words: shape from motion (SFM); Poisson surface reconstruction; 3D reconstruction; failure characterization; reconstruction accuracy