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Disassembly problem in rapid prototyping

机译:快速成型中的拆卸问题

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Abstract: Multiple parts can be built simultaneously in one R cycle, reducing significantly the build time for clients - an important issue for time compression technologies. Common to all the R approaches is that they are based on sliced 3D, solid CAD-model, and they all add material layer by layer on the part being built. As in any manufacturing process, batch formation is important for increased production. Concurrently with rapid prototyping, a critical issue is the need for disassembly or unpacking of the job mix of multiple parts, after the rapid prototyping cycle. Ikonen et. al. have discussed a bin-packing algorithm based on a genetic algorithm, called GARP. In GARP, the CAD-files of the job mixes are used to evaluate the potential for being packed into the R production volume. This paper addresses the generic unpacking issues for the SLS and other related R technologies. The paper suggests an object-oriented framework for the development of heuristics and algorithms for evaluating the quality of packing obtained by GARP for the unpacking problem.!14
机译:摘要:可以在一个R周期中同时构建多个零件,从而大大减少了客户的构建时间,这是时间压缩技术的重要问题。所有R方法的共同点是它们基于切片3D,实体CAD模型,并且它们都在要构建的零件上逐层添加材料。如同在任何制造过程中一样,批生产对于增加产量很重要。与快速原型制作同时存在的一个关键问题是,在快速原型制作周期之后,需要拆卸或拆开多个零件的工作组合。伊科宁等al。已经讨论了一种基于遗传算法的装箱算法,称为GARP。在GARP中,作业组合的CAD文件用于评估打包到R生产量中的潜力。本文解决了SLS和其他相关R技术的通用拆包问题。本文为启发式算法和算法的开发提出了一个面向对象的框架,用于评估由GARP针对解包问题获得的打包质量。14

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