Conference on Intelligent Computation in Manufacturing Engineering-CIRP ICME ' 16 Intelligent pattern recognition of a SLM machine process and sensor data
Conference on Intelligent Computation in Manufacturing Engineering-CIRP ICME ' 16 Intelligent pattern recognition of a SLM machine process and sensor data
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发表时间：
2017
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通讯作者：
Eckart Uhlmanna;Rodrigo Pastl Pontesa;Abdelhakim Laghmouchia;André Bergmanna
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作者：
Eckart Uhlmanna;Rodrigo Pastl Pontesa;Abdelhakim Laghmouchia;André Bergmanna
选择性激光熔化是一种增材制造工艺，在过去几年中，研究不断增加，以满足客户的特定要求。因此，监控新的制造参数增加了机器中的传感器数量。因此，它导致数据量更大并且难以进行手动数据分析。为了改进分析，本文阐述了使用不同的历史过程和来自 SLM 机器的传感器数据进行模式识别的可能性。使用 Fraunhofer IPK 开发的算法配置和数据分析智能工具对结果进行评估。 © 2016 作者。由 Elsevier B.V. 出版，由“第十届 CIRP ICME 会议”国际科学委员会负责评选和同行评审。
Selective Laser Melting is an additive manufacturing process, in which the research has been increasing over the past few years to meet customer-specific requirements. Therefore, new manufacturing parameters have been monitored raising the number of sensors in the machines. Consequently, it leads to a bigger amount of data and difficulties to perform manual data analysis. In order to improve the analysis, this paper illustrates a possibility of pattern recognition using a different historical process and sensors data from a SLM machine. The results are evaluated using an intelligent tool for algorithms configuration and data analysis developed at Fraunhofer IPK. © 2016 The Authors. Published by Elsevier B.V. Selection and peer-review under responsibility of the International Scientific Committee of “10th CIRP ICME Conference”.