Defect analysis on investment casting: a case study
Investment casting process is a manufacturing method for many critical and value added components in many industrial and commercial applications. The principal advantage over other processes such as fabrication, forging and extrusion is the production of a single and complex casting. the proce...
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2004
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/7763/1/24p%20SULASTRI%20SABUDIN.pdf http://eprints.uthm.edu.my/7763/2/SULASTRI%20SABUDIN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/7763/3/SULASTRI%20SABUDIN%20WATERMARK.pdf |
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| Summary: | Investment casting process is a manufacturing method for many critical and value
added components in many industrial and commercial applications. The principal
advantage over other processes such as fabrication, forging and extrusion is the
production of a single and complex casting. the process is more prone to defects due to its
complexity of part design and process. Therefore, this research has been conducted to
identity defect that occurred in a part, which cast by investment casting process. Body
Valve 1 is a product ofMMI Precision Sdn. Bhd., and after a few batch of manufacturing,
it was identified that leakage is one of major problem of the part. MAGMAsofi, a casting
simulation software has been chosen as a tool to simulate the casting process, and the
defect was predicted. To demonstrate the ability and accuracy of defect predictions made
with MAGMAsofi, casting inspection has been done to verity the computational predicted
result. Radiographic examination by using x-ray has become an option in comparing both
experimental and computational result. It shows that there is excellent agreement between
computer predicted and the result from Radiography as the defects occur at the same
predicted locations and appears as shrinkage porosity. It is characteristic of a shrink to
appear at heavier sections, at change of sections or at hot spots. |
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