Prediction and Improvement of warpage in parts fabricated using material extrusion process / (Record no. 614665)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02301nam a22001577a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 670 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Sufyan, Muhammad |
| 245 ## - TITLE STATEMENT | |
| Title | Prediction and Improvement of warpage in parts fabricated using material extrusion process / |
| Statement of responsibility, etc. | Muhammad Sufyan |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Islamabad : |
| Name of producer, publisher, distributor, manufacturer | SMME- NUST; |
| Date of production, publication, distribution, manufacture, or copyright notice | 2025. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 80p. |
| Other physical details | Soft Copy |
| Dimensions | 30cm |
| 500 ## - GENERAL NOTE | |
| General note | Additive Manufacturing (AM) has transformed manufacturing by enabling the fabrication<br/>of complicated geometries with less material waste which is particularly beneficial in a<br/>variety of industries, including aerospace, automotive, healthcare, and consumer goods.<br/>Fused Deposition Modeling (FDM) is a prominent approach in the realm of AM, attributed<br/>to its economic practicality, user-friendly execution, and material flexibility. The persistent<br/>of warpage in FDM poses a critical challenge in FDM affecting dimensional accuracy,<br/>fitment and mechanical reliability of components. Despite advancements, a lack of<br/>comprehensive studies on the combined effects of key process parameters limits the ability<br/>to predict and mitigate the effect of warpage. This research aims at providing approaches<br/>to rectify warpage in FDM-printed parts a priority based on process improvements. This<br/>research investigates three critical printing parameters i.e., raster pattern, bed temperature,<br/>and infill density. Samples are printed with various printing conditions and warpage is<br/>measured followed by validation using FEA analysis. The initially developed predictive<br/>model gained relatively high precision with overall variance of value being less than 10%<br/>in accordance with experimental tests. FEA simulations show that the FCC raster pattern<br/>decreases warping by 40% than the grid raster pattern. Similarly, 80ºC bed temperature<br/>decreases warpage by 30% comparing with 40ºC. Infill density of 90% decreases warpage<br/>by 20% more than 10% infill density. Optimizing key process parameters in FDM can<br/>significantly reduce warpage, improving dimensional accuracy and mechanical reliability<br/>in precision-critical applications. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MS Design and Manufacturing Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor: Dr. Muhammad Rizwan ul Haq |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://10.250.8.41:8080/xmlui/handle/123456789/54779">http://10.250.8.41:8080/xmlui/handle/123456789/54779</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Barcode | Koha item type |
|---|---|---|---|---|---|---|---|
| School of Mechanical & Manufacturing Engineering (SMME) | School of Mechanical & Manufacturing Engineering (SMME) | E-Books | 09/18/2025 | 670 | SMME-TH-1160 | Thesis |