Masters Theses

Keywords and Phrases

Additive Manufacturing; Linear Regression Analysis; Part Accuracy; Point Cloud Measurement; Position Dependency; Selective Laser Melting


“Selective laser melting is one of the commonly used additive manufacturing processes employed for production of functional part. Therefore, quality aspects such as dimensional accuracy have become a point of great interest. Like all of the other additive manufacturing processes selective laser melting process suffers from the issue if having wide range of process parameters making the process control a complex task. Additionally, issues specific to the selective laser melting process such as position dependency of accuracy of the part, makes it difficult to predict the resulting dimensional inconsistencies in the part manufactured by this processes. This research is an effort to address the issue of part accuracy as a function of part positioning within the build volume. In this research part errors are defined as the function of part location using multiple linear regression model fitting technique. The resulting model is used to develop the understanding of the effect of principle directions onto errors in the part. In addition, a case study has been conducted to validate the model application for different combination of part geometries and part location. The model was found to be useful to accurately compensate part dimensions at same as well as different part locations within the build chamber for parts having same geometry as that of calibration part. The approach can prove to be useful for practical applications such as small batch production reducing part errors thereby requiring lesser post processing work”--Abstract, page iii.


Liou, Frank W.

Committee Member(s)

Chandrashekhara, K.
Pan, Heng


Mechanical and Aerospace Engineering

Degree Name

M.S. in Manufacturing Engineering


Missouri University of Science and Technology

Publication Date

Spring 2017


viii, 74 pages

Note about bibliography

Includes bibliographic references (pages 72-73).


© 2017 Ninad Kulkarni, All rights reserved.

Document Type

Thesis - Open Access

File Type




Thesis Number

T 12027

Electronic OCLC #


Included in

Manufacturing Commons