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首页> 外文期刊>Journal of Computing and Information Science in Engineering >'FabSearch': A 3D CAD Model- Based Search Engine for Sourcing Manufacturing Services
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'FabSearch': A 3D CAD Model- Based Search Engine for Sourcing Manufacturing Services

机译:“ FabSearch”:用于采购制造服务的基于3D CAD模型的搜索引擎

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In this paper, we present "FabSearch," a prototype search engine for sourcing manufacturing service providers, by making use of the product manufacturing information (PMI) contained within a 3D digital file of a part product. FabSearch is designed to take in a query 3D model, such as the .STEP file of a part model which then produces a ranked list of job shop service providers who are best suited to fabricate the part. Service providers may have potentially built hundreds to thousands of parts with associated part 3D models over time. FabSearch assumes that these service providers have shared shape signatures of the part models built previously to enable the algorithm to most effectively rank the service providers who have the most experience to build the query part model. FabSearch has two important features that helps it produce relevant results. First, it makes use of the shape characteristics of the 3D part by calculating the Spherical Harmonics signature of the part to calculate the most similar shapes built previously be job shop service providers. Second, FabSearch utilizes metadata about each part, such as material specification, tolerance requirements to help improve the search results based on the specific query model requirements. The algorithm is tested against a repository containing more than 2000 models distributed across various job shop service providers. For the first time, we show the potential for utilizing the rich information contained within a 3D part model to automate the sourcing and eventual selection of manufacturing service providers.
机译:在本文中,我们通过使用零件产品的3D数字文件中包含的产品制造信息(PMI),展示了“ FabSearch”,这是一个用于搜索制造服务提供商的原型搜索引擎。 FabSearch旨在接受查询3D模型,例如零件模型的.STEP文件,然后生成最适合制造零件的加工车间服务提供商的排名列表。随着时间的推移,服务提供商可能会使用关联的零件3D模型构建成百上千的零件。 FabSearch假定这些服务提供者具有先前构建的零件模型的共享形状签名,以使算法能够最有效地对拥有最丰富的查询零件模型经验的服务提供者进行排名。 FabSearch具有两个重要功能,可帮助产生相关结果。首先,它通过计算零件的Spherical Harmonics签名来利用3D零件的形状特征,以计算先前由车间服务提供商构建的最相似的形状。其次,FabSearch利用有关每个零件的元数据(例如材料规格,公差要求)来帮助改进基于特定查询模型要求的搜索结果。该算法针对包含超过2000个模型的存储库进行了测试,这些模型分布在各个车间服务提供商之间。首次,我们展示了利用3D零件模型中包含的丰富信息来自动化制造服务提供商的采购和最终选择的潜力。

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