Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150917
Title: Investigation and prediction of crystallization of PA12 in multi jet fusion process using regression model
Authors: Foo, Yuan Ru
Keywords: Engineering::Mechanical engineering
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Foo, 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/10356/150917
Project: C098
Abstract: The 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.
URI: https://hdl.handle.net/10356/150917
Fulltext Permission: embargo_restricted_20220602
Fulltext Availability: With Fulltext
Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)

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