Cyber Integrated Metrology, Learning and Evaluation System: An Approach Towards Smart Factories
Cyber Integrated Metrology, Learning and Evaluation System: An Approach Towards Smart Factories
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网络集成计量、学习和评估系统：迈向智能工厂的方法
DOI：
10.1115/imece2017-71336
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
V. Kalhori
中科院分区：
文献类型：
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作者：
M. Helgoson;Pontus Westlin;V. Kalhori
在过去几十年中，制造工艺不断变化，仍然是全球财富和发展的核心要素。尽管为提高效率做出了巨大努力，但在制造执行期间仍然存在大量浪费源。这些问题主要是基于可制造性差、工艺效率低和机器利用率低。然而，向“智能工厂”的数字化转型将促进新型方法和技术的发展，这些方法和技术将支持先进的自动化、资源效率和进一步改进精益制造工艺。本文提出了一种集成评估从工艺规划到机加工部件的误差的方法。关键参数、影响因素和相关因素、连续工艺步骤的标称值偏差和实时加工在一个通用的信息物理模型中进行分析。这将反过来使根本原因的分析，并作为基础的过程反馈，质量保证和机器learning.The重点在本文中是描述的网络集成计量，学习和评估系统（CIMLES）的方法和结果的概念证明示威者的3轴和5轴加工，为了评估和验证该方法的各种子系统而开发。版权所有© 2017由ASME
Manufacturing processes has seen constant change in the last decades to remain a central element of global wealth and development. Despite large efforts to increase efficiency, still significant sources of waste during manufacturing execution exist. These are mainly based on poor manufacturability, inefficient processes and low machine utilization.The digital transformation towards “smart factories” will however enable development of new types of methods and technologies that will support advanced automation, resource efficiency and further improvements towards Lean Manufacturing processes.This paper presents an approach for integrated evaluation of errors introduced from process planning to machined component. Critical parameters, influencing and interrelated factors, nominal value deviations from successive process steps and real-time machining are analyzed in one common cyber-physical model. This will in turn enable analyses of root-causes and serve as basis for process feedback, quality assurance and machine learning.The focus in this paper is to describe the architecture of the Cyber Integrated Metrology, Learning and Evaluation System (CIMLES) approach and results from proof of concept demonstrators for 3- and 5-axis machining, developed in order to evaluate and verify various subsystems of the approach.Copyright © 2017 by ASME