Metallic Components Repair Strategies Using the Hybrid Manufacturing Process

Access full-text files

Date

2017

Authors

Zhang, Xinchang
Cui, Wenyuan
Li, Wei
Liou, Frank

Journal Title

Journal ISSN

Volume Title

Publisher

University of Texas at Austin

Abstract

The hybrid manufacturing process which integrates additive manufacturing with subtractive machining is competitive and promising in component repair. To automate this process, detecting the missing volume and generating the deposition tracks is the key. In this study, strategies for repairing defects on flat and non-flat surfaces were investigated. A cost-effective reverse engineering tool was utilized to reconstruct STL models of damaged objects. Point data of the fracture surface on flat surfaces was obtained to generate the tool path for material building up. For defects on non-flat surfaces, the damaged model was best-fitted with the nominal model. Then both models were sliced and by using area comparison method, the defective domain was detected. Then a series of projection rays were utilized to slice the damaged cross-sections to extract the repair volume. Finally, repair experiments were performed to assess the repair quality through repair automation.

Description

LCSH Subject Headings

Citation