Design And Analysis Of Base Assembly For Flange Resurface Machine

Mohamad Zahuri, Jamil (2015) Design And Analysis Of Base Assembly For Flange Resurface Machine. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 pages) Design And Analysis Of Base Assembly For Flange Resurface Machine 24 Pages.pdf Download (414kB)

Abstract

As the demand for maintaining the flange surface in oil and gas industry increases so does the need for high performance flange resurface machine. Thus, this final year project was performed with the goal to design and analysis the base assembly for the Flange Resurface Machine in order to reducing the weight due to the difficulties to operate the machine and to ensure the machining product is to meet the specifications of job site requirements. One of the key components of the flange resurface machine is the perfect rigid base assembly. After careful consideration, a few assessment have been taken into account to identify the factors and solution mainly on design and materials used. The three major factors were material selected, factor of vibration and surface finish design. Catia V5R20 design software was used to evaluate the potential design and analyse the statistical significance of each variable along with any interactions between variables. The complete proposed design are being analyse using three different computer aided software which is Solidthinking analysis, Catia analysis and Hypermesh analysis. Results showed that using the tools steel will reduce the weight compared to other metal with the same strength. The analysis also has shown a variety of results since the software used has it limit of capability to run the analysis. However, the overall result obtained were very delightful since the value of Von Mises Stress and Displacement that being taken as reference value was accepted. Last but not least, the improvement that can be done towards this research is to have a more longer timing to run this project and also to use other different type of analysis software in order to get the best analysis results.

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