Content area

Abstract

With the revolution of additive manufacturing (AM), researchers are working to adopt the benefits of AM for manufacturing flexibility and reduced wastage, which are some of the disadvantages of subtractive manufacturing. AM has introduced design flexibility during manufacturing of fiber reinforced polymer composites with complex geometries and varied internal structures. AM allows designing orientations and percentages of reinforcement fiber to achieve desired mechanical properties of parts. To obtain a high level of surface finish and tolerance, machining is still considered as a post-processing technique for 3D-printed composite parts. Finite element analysis (FEA) is a widely used numerical analysis tool that has the capability of revealing the physics of failure mechanisms of fiber, matrix, and interface during machining of polymer composites. A commercially available powerful FEA software ABAQUS/Explicit package has been used in this study. The objective of this research is to investigate the post-processing machinability of AM-CFRPs with various make strategies, infill patterns, layer widths and orientations. The machinability of AM-CFRPs has been compared to that of traditional laminated CFRP composite to understand how AM process adds further challenges during machining or post-processing of CFRPs. The effect of different machining conditions like variation in depth of cut was also studied to understand the machining behavior as well as failure mechanisms of additively manufactured carbon fiber reinforced polymer composites during post-process machining.

Details

1010268
Title
Numerical Investigation of Micro Milling on Laminated and AM CFRP Composites
Number of pages
102
Publication year
2024
Degree date
2024
School code
0126
Source
MAI 86/11(E), Masters Abstracts International
ISBN
9798314894392
Committee member
Ye, Zhijiang Justin; Hu, Yingbin
University/institution
Miami University
Department
Mechanical and Manufacturing Engineering
University location
United States -- Ohio
Degree
M.S.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
32112233
ProQuest document ID
3204702485
Document URL
https://www.proquest.com/dissertations-theses/numerical-investigation-micro-milling-on/docview/3204702485/se-2?accountid=208611
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Database
ProQuest One Academic