Process Optimization by Multiscale Modeling to Minimize Residual Stress in Powder Bed Fusion / (Record no. 607446)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02152nam a22001577a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 670 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Dilawar, Shakeel |
| 245 ## - TITLE STATEMENT | |
| Title | Process Optimization by Multiscale Modeling to Minimize Residual Stress in Powder Bed Fusion / |
| Statement of responsibility, etc. | Shakeel Dilawar |
| 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 | 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 134p. |
| Other physical details | Soft Copy |
| Dimensions | 30cm |
| 500 ## - GENERAL NOTE | |
| General note | Metal additive manufacturing often uses powder bed fusion (PBF), a renowned technology that<br/>selectively fuses metal powder particles in a bed using a laser or electron beam to create threedimensional objects. The metal powder exposed to the laser undergoes enormous temperature and<br/>phase change variations in a short period of time during PBF, resulting in undesired thermal<br/>stresses known as residual stresses. To quantify these stresses, the bridge curvature method (BCM)<br/>was applied. Multiscale modelling using adaptive coarsening was used to predict distortions based<br/>on experimentally validated models. Taguchi and Response Surface Method (TM and RSM) were<br/>used to minimize residual stress in stainless steel 316L. Based on optimal parametric results for<br/>minimal residual stress from part-scale simulation and statistical techniques, the parts were printed<br/>avoiding costly experiments. There was a minimum 8% error between optimized predicted and<br/>experimental results. The approach used was critical in lowering computational printing expense.<br/>The effects of individual parameters and their combinations in terms of energy density on residual<br/>stress were also analyzed. The relationship between residual stress, hatch spacing, scanning speed,<br/>and power in metal additive manufacturing can be characterized by an initial increase in residual<br/>stress, followed by a decrease as hatch spacing and scanning speed are increased, while power is<br/>also increased. The effect of beam diameter is very nominal and diminishes in comparison with<br/>energy density parameters. |
| 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. Syed Hussain Imran Jaffery |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://10.250.8.41:8080/xmlui/handle/123456789/32670">http://10.250.8.41:8080/xmlui/handle/123456789/32670</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 | 01/19/2024 | 670 | SMME-TH-838 | Thesis |