Surface mapping and automatic tool path generation
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| Title: | Surface mapping and automatic tool path generation |
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| Authors: | Ferreira, Labiche |
| Committee Members: | Hosni, Yasser A.; Hosni, Yasser A. [VIAF] Hosni, Yasser A. [LC]University of Central Florida. College of Engineering [VIAF]University of Central Florida. College of Engineering [LC] |
| Summary: | With the use of machine vision systems in the manufacturing cycle of a product, the lead time for producing the final product has been substantially reduced. Efforts in the past have aimed at automating the tasks right from the drawing board stage to final production of the product. Such technologies include CAD, CAM, and CAPP. However the task of tool path (NC code) generation has not yet been fully automated. In the current techniques, the user plays a crucial role in the NC code generation process. There is an increasing trend for using machine vision systems in the fabrication of a part. Most machine vision (surface mapping) techniques generate a huge amount of data. Ideally, a CAM system should be capable of accepting data in any format for tool path generation with minimum intervention from the user. This thesis proposes a four step, computer based method for tool path (NC Code) generation from X,Y,Z data, aimed at minimizing if not eliminating the user role. The different techniques of surface mapping and curve fitting are also presented. These four steps extract relevant information needed for the generation of NC code, thereby automating the process traditionally handled by a user a interface. |
| URL: | https://stars.library.ucf.edu/rtd/3826 |
| Database: | OpenDissertations |
| Abstract: | With the use of machine vision systems in the manufacturing cycle of a product, the lead time for producing the final product has been substantially reduced. Efforts in the past have aimed at automating the tasks right from the drawing board stage to final production of the product. Such technologies include CAD, CAM, and CAPP. However the task of tool path (NC code) generation has not yet been fully automated. In the current techniques, the user plays a crucial role in the NC code generation process. There is an increasing trend for using machine vision systems in the fabrication of a part. Most machine vision (surface mapping) techniques generate a huge amount of data. Ideally, a CAM system should be capable of accepting data in any format for tool path generation with minimum intervention from the user. This thesis proposes a four step, computer based method for tool path (NC Code) generation from X,Y,Z data, aimed at minimizing if not eliminating the user role. The different techniques of surface mapping and curve fitting are also presented. These four steps extract relevant information needed for the generation of NC code, thereby automating the process traditionally handled by a user a interface. |
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