Doctoral Dissertations

Renwei Liu

Keywords and Phrases

Additive manufacturing; Hybrid manufacturing; Manufacturing automation; Multi-feature fitting; Repair

Abstract

"Many high-performance metal parts users extend the service of these damaged parts by employing repair technology. Hybrid manufacturing, which includes additive manufacturing (AM) and subtractive manufacturing, provides greater build capability, better accuracy, and surface finish for component repair. However, most repair processes still rely on manual operations, which are not satisfactory in terms of time, cost, reliability, and accuracy. This dissertation aims to improve the application of hybrid manufacturing for repairing metallic components by addressing the following three research topics. The first research topic is to investigate and develop an efficient best-fit and shape adaption algorithm for automating 3D models' the alignment and defect reconstruction. A multi-feature fitting algorithm and cross-section comparison method are developed. The second research topic is to develop a smooth toolpath generation method for laser metal deposition to improve the deposition quality for metallic component fabrication and repair. Smooth connections or transitions in toolpath planning are achieved to provide a constant feedrate and controllable deposition idle time for each single deposition pass. The third research topic is to develop an automated repair process could efficiently obtain the spatial information of a worn component for defect detection, alignment, and 3D scanning with the integration of stereo vision and laser displacement sensor. This dissertation investigated and developed key technologies to improve the efficiency, repair quality, precision, and automation for the repair of metallic components using hybrid manufacturing. Moreover, the research results of this dissertation can benefit a wide range of industries, such as additive manufacturing, manufacturing and measurement automation, and part inspection"--Abstract, page iv.

Advisor(s)

Liou, Frank W.

Committee Member(s)

Bristow, Douglas A.
Midha, A. (Ashok)
Newkirk, Joseph William
Pan, Heng

Department(s)

Mechanical and Aerospace Engineering

Degree Name

Ph. D. in Mechanical Engineering

Sponsor(s)

National Science Foundation (U.S. )
Missouri University of Science and Technology. Intelligent Systems Center
Missouri University of Science and Technology. Laser Aided Manufacturing Processes (LAMP) Laboratory
GKN (Firm). Aerospace Division

Comments

This research was supported by National Science Foundation Grants IIP-1046492, CMMI-1301414, CMMI-1547042, GNK Aerospace, and Intelligent Systems Center and Material Research Center at Missouri University of Science and Technology.

Research Center/Lab(s)

Intelligent Systems Center

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2017

Journal article titles appearing in thesis/dissertation

  • Multi-feature fitting and shape adaption algorithm for components repair
  • A smooth toolpath generation method for laser metal deposition
  • Stereo vision-based repair of metallic components

Pagination

xii, 115 pages

Note about bibliography

Includes bibliographic references.

Rights

© 2017 Renwei Liu, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 11495

Electronic OCLC #

1104294369

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