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Geometric model reconstruction through a surface extension algorithm for remanufacturing of twist blades

Jian Gao (Key Laboratory of Mechanical Equipment Manufacturing and Control Technology of Ministry of Education, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China)
Hao Wen (Key Laboratory of Mechanical Equipment Manufacturing and Control Technology of Ministry of Education, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China)
Zhiyuan Lin (Key Laboratory of Mechanical Equipment Manufacturing and Control Technology of Ministry of Education, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China)
Haidong Wu (Key Laboratory of Mechanical Equipment Manufacturing and Control Technology of Ministry of Education, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China)
Si Li (Key Laboratory of Mechanical Equipment Manufacturing and Control Technology of Ministry of Education, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China)
Xin Chen (Key Laboratory of Mechanical Equipment Manufacturing and Control Technology of Ministry of Education, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China)
Yun Chen (Key Laboratory of Mechanical Equipment Manufacturing and Control Technology of Ministry of Education, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China)
Yunbo He (Key Laboratory of Mechanical Equipment Manufacturing and Control Technology of Ministry of Education, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China)

Rapid Prototyping Journal

ISSN: 1355-2546

Article publication date: 20 March 2017

449

Abstract

Purpose

Remanufacturing of worn blades with various defects normally requires processes such as scanning, regenerating a geometrical reference model, additive manufacturing (AM) through laser cladding, adaptive machining and polishing and quality inspection. Unlike the manufacturing process of a new part, the most difficult problem for remanufacturing such a complex surface part is that the reference model adaptive to the worn part is no longer available or useful. The worn parts may suffer from geometrical deformation, distortion and other defects because of the effects of harsh operating conditions, thereby making their original computer aided design (CAD) models inadequate for the repair process. This paper aims to regenerate the geometric models for the worn parts, which is a key issue for implementing AM to build up the parts and adaptive machining to reform the parts. Unlike straight blades with similar cross sections, the tip geometry of the worn tip of a twist blade needs to be regenerated by a different method.

Design/methodology/approach

This paper proposes a surface extension algorithm for the reconstruction of a twist blade tip through the extremum parameterization of a B-spline basis function. Based on the cross sections of the scanned worn blade model, the given control points and knot vectors are firstly reconstructed into a B-spline curve D. After the extremum of each control point is calculated by extremum parameterization of a B-spline basis function, the unknown control points are calculated by substituting the extremum into the curve D. Once all control points are determined, the B-spline surface of the worn blade tip can be regenerated. Finally, the extension algorithm is implemented and validated with several examples.

Findings

The proposed algorithm was implemented and verified through the exampled blades. Through the extension algorithm, the tip geometry of the worn tip of a twist blade can be regenerated. This method solved a key problem for the repair of a twist blade tip. It provides an appropriate reference model for repairing worn blade tips through AM to build up the blade tip and adaptive machining/polishing processes to reform the blade geometry.

Research limitations/implications

The extension errors for different repair models are compared and analyzed. The authors found that there are several factors affecting the accuracy of the regenerated model. When the cross-section interval and the extension length are set properly, the restoration accuracy for the blade tip can be improved, which is acceptable for the repairing.

Practical implications

The lack of a reference geometric model for worn blades is a significant problem when implementing blade repair through AM and adaptive machining processes. Because the geometric reference model is unavailable for the repair process, reconstruction of the geometry of a worn blade tip is the first crucial step. The authors proposed a surface extension algorithm for the reconstruction of a twist blade tip. Through the implementation of the proposed algorithm, the blade tip model can be regenerated.

Social implications

Remanufacturing of worn blades with various defects is highly demeaned for the aerospace enterprises considering sustainable development. Unlike straight blades, repair of twist blades encountered a very difficult problem because the geometric reference model is unavailable for the repair processes. This paper proposed a different method to generate the reference model for the repair of a twist blade tip. With this model, repair of twist blades can be implemented through AM to build up the blade tip and adaptive machining to subtract the extra material.

Originality/value

The authors proposed a surface extension algorithm to reconstruct the geometric model for repair of twist blades.

Keywords

Acknowledgements

This work is supported by the National Natural Science Foundation of China (Grant No. 51175093, No. 51675106) and Guangdong Provincial Science and Technology R&D Project (2015A030312008, 2016A030308016).

Citation

Gao, J., Wen, H., Lin, Z., Wu, H., Li, S., Chen, X., Chen, Y. and He, Y. (2017), "Geometric model reconstruction through a surface extension algorithm for remanufacturing of twist blades", Rapid Prototyping Journal, Vol. 23 No. 2, pp. 382-390. https://doi.org/10.1108/RPJ-11-2015-0179

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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