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Development of an AI-based Rapid Manufacturing Advice System

机译：基于AI的快速制造建议系统的开发

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The purpose of this paper is to assess the possibility of using Rapid Manufacturing (RM) as a final manufacturing route through a comparison of RM capabilities vs. conventional manufacturing routes. This is done by means of a computer-aided system intended to guide the designer in the selection of optimum production parameters according to general product requirements proper of the first design stages. The proposed system makes use of a number of artificial intelligence (AI) tools, namely: fuzzy inference, relational databases and rule-based decision making to reach an optimum solution. A pilot application developed in Matlab~? is presented to illustrate the system application on a real mechanical part used as a case study. In the article it is shown how the proposed model may be useful for presenting feasible RM alternatives for parts and products not originally intended for additive manufacture. It also indicates when no RM alternatives are suitable for the given tasks, thus indicating those areas of knowledge which are necessary to expand in order to have at disposal comprehensive and reliable info on RM to compete with conventional processes.
机译：本文的目的是通过比较RM能力与传统制造路线来评估使用快速制造（RM）作为最终制造路线的可能性。这是通过计算机辅助系统完成的，该系统旨在根据最初设计阶段的一般产品要求指导设计人员选择最佳生产参数。拟议的系统利用了许多人工智能（AI）工具，即：模糊推理，关系数据库和基于规则的决策以达到最佳解决方案。在Matlab中开发的试验应用程序？提出来说明该系统在实际机械零件上的应用作为案例研究。在本文中，表明了所提出的模型对于提出最初并非旨在用于增材制造的零件和产品的可行RM替代方案可能是有用的。它还指示什么时候没有RM替代方案适合于给定的任务，从而表明那些必须扩展的知识领域，以便掌握关于RM的全面而可靠的信息以与常规流程竞争。

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