Toolpath Design for Additive Manufacturing Using Graph Theory
General Material Designation
[Thesis]
First Statement of Responsibility
Cheng, Puikei
Subsequent Statement of Responsibility
Liu, Wing Kam
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
Northwestern University
Date of Publication, Distribution, etc.
2020
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
126
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Ph.D.
Body granting the degree
Northwestern University
Text preceding or following the note
2020
SUMMARY OR ABSTRACT
Text of Note
Metal Additive manufacturing (AM) processes build 3D objects by heating and consolidating material in a point-by-point manner. Unlike traditional manufacturing methods, AM allows the material properties of each point in the build to vary by controlling process conditions locally. The process parameters can be considered as inputs to the AM system, whereas the resulting thermal, microstructural, or property distributions can be considered as outputs to the AM system. Characterizing how AM inputs affect AM outputs is a forward problem. On the contrary, process parameter design involves solving the backward, or inverse, problem. AM presents the opportunity for extremely flexible design, but it also greatly increases the complexity of the search for the optimal set of process parameters.