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Global Finish Curvature Matched Machining

As competition grows among manufacturing companies, greater emphasis has recently been placed on product aesthetics and decreasing the product development time. This is promoting and standardizing widespread use of sculptured surface styling within product design. Therefore, industries are looking for high efficiency machining strategies for sculptured surface machining (SSM). Many researchers have produced various methods in tool path generation for SSM. Five-axis curvature matched machining (CM2) is the most efficient. With the widespread use of 5-axis mill in industries, CM2 is a better solution for improving the machining efficiency for product concept models. CM2 has very good performance for global machining of single patch surface or a quilt of simple sculptured surface patches. But when CM2 is used to generate tool paths for global machining of a large region of complex sculptured surface such as the top or side skins of a vehicle, there will be some limitations, that is, the performance will be influenced greatly in some steep areas where the lead angle of the tool becomes larger to match the curvature or avoid gouging. Larger lead angles mean smaller effective curvatures at the leading edge of the tool bottom where it contacts the part surfaces. Therefore, the density of CM2 tool path is very high in these steep regions. By setting a smaller upper limit for the lead angle, the density of tool path will not be very high in the steep regions, but there will be some uncut materials. This thesis focuses on how to determine the uncut or rework areas of the previous CM2 and how to define the boundary of these regions. Strategies for generating more efficiency CM2 tool paths are also discussed. These methods will be tested by applying finish global machining to a one-fourth scale Ford GT model.

Identiferoai:union.ndltd.org:BGMYU2/oai:scholarsarchive.byu.edu:etd-1701
Date18 November 2005
CreatorsWang, Jianguo
PublisherBYU ScholarsArchive
Source SetsBrigham Young University
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceTheses and Dissertations
Rightshttp://lib.byu.edu/about/copyright/

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