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首页> 外文会议>International Conference on Computational Science and Its Applications(ICCSA 2006) pt.2; 20060508-11; Glasgow(GB) >An Implementation of the Vectorizing-Based Automatic Nesting Software NST
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An Implementation of the Vectorizing-Based Automatic Nesting Software NST

机译：基于向量化的自动套料软件NST的实现

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Among the processes to manufacture parts from footwear materials like upper leathers, one of the most essential processes is the cutting process for optimally arranging parts on raw footwear materials. A new nesting strategy was proposed for the 2-dimensional part layout by using a two-stage approach which can be effectively used for water jet cutting. In the initial layout stage, a SOAL(Self-Organization Assisted Layout) based on the combination of FCM (Fuzzy C-Means) and SOM(Self-Organizing Maps) were adopted. In the layout improvement stage, SA(Simulated Annealing)-based approach was adopted for a finer layout. The approach proposed in this paper saves much CPU time through a two-stage approach scheme, while other annealing-based algorithms so far reported for nesting problems are computationally expensive. The proposed nesting approach uses the stochastic process, and has a much higher possibility to obtain a global solution than the deterministic searching techniques. We developed the automatic 2-dimensional nesting software NST(ver.1.1) for footwear industry by implementing these proposed algorithms. The optimized automatic nesting algorithm of NST has been applied for cutting without the loss of leathers, if possible, after detecting defected areas. NST can also consider various distinctive qualities in not only natural leathers but artificial ones. Lastly, NST can reduce a required time to generating NC-code, cutting time, and waste of raw materials because it automatically performs parts arrangement, cutting paths generation and finally NC-code generation, which require a lot of efforts and time to generate them manually.
机译：在由鞋类材料（例如鞋面皮革）制造零件的过程中，最重要的过程之一是用于将零件最佳地布置在鞋类原材料上的切割过程。通过使用可有效用于水刀切割的两阶段方法，为二维零件布局提出了一种新的嵌套策略。在初始布局阶段，采用了基于FCM（模糊C均值）和SOM（自组织地图）的组合的SOAL（自组织辅助布局）。在版图改进阶段，采用基于SA（模拟退火）的方法来获得更好的版图。本文提出的方法通过两步方案节省了很多CPU时间，而到目前为止，其他有关嵌套问题的基于退火的算法在计算上也很昂贵。所提出的嵌套方法使用随机过程，并且比确定性搜索技术更有可能获得全局解决方案。通过实施这些拟议算法，我们为制鞋业开发了自动二维套料软件NST（ver.1.1）。 NST的优化自动套料算法已被用于切割，如果可能的话，在检测到缺陷区域后，皮革不会丢失。 NST不仅可以考虑天然皮革还可以考虑人造皮革的各种独特品质。最后，NST可以减少生成NC代码，切割时间和原材料浪费所需的时间，因为它可以自动执行零件布置，切割路径生成以及最终的NC代码生成，这需要大量的精力和时间来生成它们手动。

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