Research on the Data Segmentation Technique of Large Rapid Prototyping Sample Based on Features

Xin Liu; Wei Fan

doi:10.4028/www.scientific.net/AMM.248.551

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Computational Study on Influence of Water Injection Angle to Aluminum/Water Reaction Motor
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An Approach to Optimization of Takagi-Sugeno Type Fuzzy Regulator Parameters by Genetic Algorithm from Mamdani Regulation Surface
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Research on the Data Segmentation Technique of Large Rapid Prototyping Sample Based on Features
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Research Advances in Mobile Advertising Areas
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Intelligent Controller of Motion Assisting Robot Using Online Update of Vector Field
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A Traffic Control Method Based on the Congestion Mechanism in an on-Ramp Traffic System with a Nearby Bus Stop
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The Application and Research of the Fuzzy PID Control in the Afterheat Recovery System of Temperature Constant and Frequency Variable
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 248Research on the Data Segmentation Technique of...

Research on the Data Segmentation Technique of Large Rapid Prototyping Sample Based on Features

Abstract:

Because of the small workbench molding size of rapid prototyping equipment, the processing of large rapid prototyping samples is a problem during the new product development process, for example, motorcycle covering. The relative merits of accuracy engraving technique and rapid prototyping technique during processing are discussed. The method combining accuracy engraving machine and rapid prototyping machine to processing new motorcycle cover samples is proposed. And the surface data segmentation technique based on features is adopt to divide the large rapid prototyping sample reasonably, and then the small parts are collaged after respectively processing, so the problem of large rapid prototyping sample cannot once molding is solved, the speed of new product development is accelerated, the cost of new product development is decreased, the rapid manufacturing is realized. This method has been applied to the processing of new motorcycle cover samples and the application method is expounded.