Investigation and prediction of crystallization of PA12 in multi jet fusion process using regression model
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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2021
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/150917 |
| _version_ | 1826111846237601792 |
|---|---|
| author | Foo, Yuan Ru |
| author2 | Du Hejun |
| author_facet | Du Hejun Foo, Yuan Ru |
| author_sort | Foo, Yuan Ru |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T02:57:33Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/150917 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:57:33Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1509172021-06-25T10:52:01Z Investigation and prediction of crystallization of PA12 in multi jet fusion process using regression model Foo, Yuan Ru Du Hejun School of Mechanical and Aerospace Engineering HP-NTU Digital Manufacturing Corp Lab MHDU@ntu.edu.sg Engineering::Mechanical engineering 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. Bachelor of Engineering (Mechanical Engineering) 2021-06-16T08:24:09Z 2021-06-16T08:24:09Z 2021 Final Year Project (FYP) 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 https://hdl.handle.net/10356/150917 en C098 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Mechanical engineering Foo, Yuan Ru Investigation and prediction of crystallization of PA12 in multi jet fusion process using regression model |
| title | Investigation and prediction of crystallization of PA12 in multi jet fusion process using regression model |
| title_full | Investigation and prediction of crystallization of PA12 in multi jet fusion process using regression model |
| title_fullStr | Investigation and prediction of crystallization of PA12 in multi jet fusion process using regression model |
| title_full_unstemmed | Investigation and prediction of crystallization of PA12 in multi jet fusion process using regression model |
| title_short | Investigation and prediction of crystallization of PA12 in multi jet fusion process using regression model |
| title_sort | investigation and prediction of crystallization of pa12 in multi jet fusion process using regression model |
| topic | Engineering::Mechanical engineering |
| url | https://hdl.handle.net/10356/150917 |
| work_keys_str_mv | AT fooyuanru investigationandpredictionofcrystallizationofpa12inmultijetfusionprocessusingregressionmodel |