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机床上测量的可追溯性:综述

Traceability of On-Machine Tool Measurement: A Review.

作者信息

Mutilba Unai, Gomez-Acedo Eneko, Kortaberria Gorka, Olarra Aitor, Yagüe-Fabra Jose A

机构信息

Department of Mechanical Engineering, IK4-Tekniker, Eibar 20600, Spain.

I3A, Universidad de Zaragoza, Zaragoza 50018, Spain.

出版信息

Sensors (Basel). 2017 Jul 11;17(7):1605. doi: 10.3390/s17071605.

Abstract

Nowadays, errors during the manufacturing process of high value components are not acceptable in driving industries such as energy and transportation. Sectors such as aerospace, automotive, shipbuilding, nuclear power, large science facilities or wind power need complex and accurate components that demand close measurements and fast feedback into their manufacturing processes. New measuring technologies are already available in machine tools, including integrated touch probes and fast interface capabilities. They provide the possibility to measure the workpiece in-machine during or after its manufacture, maintaining the original setup of the workpiece and avoiding the manufacturing process from being interrupted to transport the workpiece to a measuring position. However, the traceability of the measurement process on a machine tool is not ensured yet and measurement data is still not fully reliable enough for process control or product validation. The scientific objective is to determine the uncertainty on a machine tool measurement and, therefore, convert it into a machine integrated traceable measuring process. For that purpose, an error budget should consider error sources such as the machine tools, components under measurement and the interactions between both of them. This paper reviews all those uncertainty sources, being mainly focused on those related to the machine tool, either on the process of geometric error assessment of the machine or on the technology employed to probe the measurand.

摘要

如今,在能源和交通等驱动行业中,高价值零部件制造过程中的误差是不可接受的。航空航天、汽车、造船、核电、大型科学设施或风力发电等行业需要复杂且精确的零部件,这就要求在制造过程中进行精确测量并快速反馈。机床中已经具备了新的测量技术,包括集成式接触式测头和快速接口功能。这些技术使得在工件制造期间或之后能够在机床上对其进行测量,保持工件的原始装夹状态,并避免因将工件运输到测量位置而中断制造过程。然而,机床测量过程的可追溯性尚未得到保证,测量数据对于过程控制或产品验证来说仍不够完全可靠。科学目标是确定机床测量的不确定度,并将其转化为机床集成的可追溯测量过程。为此,误差预算应考虑诸如机床、被测零部件以及两者之间相互作用等误差源。本文回顾了所有这些不确定度来源,主要聚焦于与机床相关的那些,无论是在机床几何误差评估过程中还是在用于探测被测量的技术方面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bca3/5539775/5aecefe0d8fc/sensors-17-01605-g001.jpg

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