Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150917
Full metadata record
DC FieldValueLanguage
dc.contributor.authorFoo, Yuan Ruen_US
dc.date.accessioned2021-06-16T08:24:09Z-
dc.date.available2021-06-16T08:24:09Z-
dc.date.issued2021-
dc.identifier.citationFoo, Y. R. (2021). Investigation and prediction of crystallization of PA12 in multi jet fusion process using regression model. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150917en_US
dc.identifier.urihttps://hdl.handle.net/10356/150917-
dc.description.abstractThe growing popularity of additive manufacturing has ignited the possibility of mass manufacturing. This has led to special attention in polymer powder bed fusion technologies such multi jet fusion (MJF). This report analyses the material properties of Polyamide 12 (PA12) powders and printed dogbone samples using MJF technologies. The point is identified where a small amount of specimen would be cut from to conduct numerous Differential Scanning Calorimetry (DSC) tests that measures the degree of crystallinity value of each sample. Three different regression models are then developed using the crystallinity data obtained from the DSC tests and have their accuracy compared with parameters such as the coefficient of determination, mean and maximum error. The results showed that the Lasso regression model was the best but still had certain limitations in its predictive accuracy. This report details the investigation of how crystallinity degree can be predicted within the MJF print chamber using regression models. It includes the experiment process, results obtained and development process of the regression model.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationC098en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleInvestigation and prediction of crystallization of PA12 in multi jet fusion process using regression modelen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorDu Hejunen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeBachelor of Engineering (Mechanical Engineering)en_US
dc.contributor.researchHP-NTU Digital Manufacturing Corp Laben_US
dc.contributor.supervisoremailMHDU@ntu.edu.sgen_US
item.grantfulltextembargo_restricted_20220602-
item.fulltextWith Fulltext-
Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
FooYuanRu_ FYP_Final Report_V2.pdf
  Until 2022-06-02
2.72 MBAdobe PDFUnder embargo until Jun 02, 2022

Page view(s)

95
Updated on Oct 16, 2021

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.