Masters Theses


Work-piece alignment for a hybrid multi-axis laser-aided manufacturing system

Alternative Title

Work piece alignment for a hybrid multi axis laser aided manufacturing system


Ajay Panackal

Keywords and Phrases

Laser Aided Manufacturing Process (LAMP)


"The Laser Aided Manufacturing Process (LAMP) is a multi-axis hybrid manufacturing process comprised of both an additive process, laser deposition, and a subtractive process, CNC machining. Work-piece alignment is a key issue for hybrid laser aided part repair. Proper alignment can greatly improve the accuracy of the repair process. Paper I introduces a method for aligning a physical work piece and a CAD model using a Renishaw touch probe and software tools. Also discussed is a model for computing 5-axis CNC positions based on a desired work piece orientation. Determination of transformation matrix is one of the most important tasks to bridge the gap between process planning (software) and real deposition/machining process. The first part of the Paper II discusses an algorithm for computing the position of point/points in three-dimensional space, using homogeneous transformation matrices. The second part of the paper discusses about how the algorithm was used in practice to build 3-D parts and part-repair using hybrid manufacturing process"--Abstract, leaf iv.


Mechanical and Aerospace Engineering

Degree Name

M.S. in Manufacturing Engineering


University of Missouri--Rolla

Publication Date

Fall 2006

Journal article titles appearing in thesis/dissertation

  • Work-piece alignment for hybrid laser-aided part repair process
  • Determination of transformation matrix in a hybrid multi-axis laser-aided manufacturing system and its practical implementation


ix, 41 leaves


© 2006 Ajay Panackal Padathu Vijayan, All rights reserved.

Document Type

Thesis - Citation

File Type




Library of Congress Subject Headings

Manufacturing processes -- Automation
Pulsed laser deposition
Machine-tools -- Numerical control
Process control -- Automation

Thesis Number

T 9122

Print OCLC #


Link to Catalog Record

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