An optical-based measurement method for center distance between two double-hole components

IF 1.6 4区 工程技术 Q3 INSTRUMENTS & INSTRUMENTATION Sensor Review Pub Date : 2024-02-29 DOI:10.1108/sr-06-2023-0197
Heng Liu, Yonghua Lu, Haibo Yang, Lihua Zhou, Qiang Feng
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引用次数: 0

Abstract

Purpose

In the context of fixed-wing aircraft wing assembly, there is a need for a rapid and precise measurement technique to determine the center distance between two double-hole components. This paper aims to propose an optical-based spatial point distance measurement technique using the spatial triangulation method. The purpose of this paper is to design a specialized measurement system, specifically a spherically mounted retroreflector nest (SMR nest), equipped with two laser displacement sensors and a rotary encoder as the core to achieve accurate distance measurements between the double holes.

Design/methodology/approach

To develop an efficient and accurate measurement system, the paper uses a combination of laser displacement sensors and a rotary encoder within the SMR nest. The system is designed, implemented and tested to meet the requirements of precise distance measurement. Software and hardware components have been developed and integrated for validation.

Findings

The optical-based distance measurement system achieves high precision at 0.04 mm and repeatability at 0.02 mm within a range of 412.084 mm to 1,590.591 mm. These results validate its suitability for efficient assembly processes, eliminating repetitive errors in aircraft wing assembly.

Originality/value

This paper proposes an optical-based spatial point distance measurement technique, as well as a unique design of a SMR nest and the introduction of two novel calibration techniques, all of which are validated by the developed software and hardware platform.

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基于光学的双孔元件中心距测量方法
目的 在固定翼飞机机翼装配中,需要一种快速、精确的测量技术来确定两个双孔部件之间的中心距。本文旨在利用空间三角测量法提出一种基于光学的空间点距测量技术。本文的目的是设计一种专门的测量系统,特别是一个球面安装的反向反射镜巢(SMR nest),配备两个激光位移传感器和一个旋转编码器作为核心,以实现双孔之间距离的精确测量。设计/方法/途径为了开发一种高效、精确的测量系统,本文在 SMR nest 中使用了激光位移传感器和旋转编码器的组合。该系统的设计、实施和测试均符合精确测量距离的要求。研究结果基于光学的距离测量系统在 412.084 毫米至 1,590.591 毫米的范围内实现了 0.04 毫米的高精度和 0.02 毫米的可重复性。原创性/价值本文提出了一种基于光学的空间点距离测量技术,以及 SMR 巢的独特设计和两种新型校准技术的引入,所有这些都通过所开发的软件和硬件平台进行了验证。
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来源期刊
Sensor Review
Sensor Review 工程技术-仪器仪表
CiteScore
3.40
自引率
6.20%
发文量
50
审稿时长
3.7 months
期刊介绍: Sensor Review publishes peer reviewed state-of-the-art articles and specially commissioned technology reviews. Each issue of this multidisciplinary journal includes high quality original content covering all aspects of sensors and their applications, and reflecting the most interesting and strategically important research and development activities from around the world. Because of this, readers can stay at the very forefront of high technology sensor developments. Emphasis is placed on detailed independent regular and review articles identifying the full range of sensors currently available for specific applications, as well as highlighting those areas of technology showing great potential for the future. The journal encourages authors to consider the practical and social implications of their articles. All articles undergo a rigorous double-blind peer review process which involves an initial assessment of suitability of an article for the journal followed by sending it to, at least two reviewers in the field if deemed suitable. Sensor Review’s coverage includes, but is not restricted to: Mechanical sensors – position, displacement, proximity, velocity, acceleration, vibration, force, torque, pressure, and flow sensors Electric and magnetic sensors – resistance, inductive, capacitive, piezoelectric, eddy-current, electromagnetic, photoelectric, and thermoelectric sensors Temperature sensors, infrared sensors, humidity sensors Optical, electro-optical and fibre-optic sensors and systems, photonic sensors Biosensors, wearable and implantable sensors and systems, immunosensors Gas and chemical sensors and systems, polymer sensors Acoustic and ultrasonic sensors Haptic sensors and devices Smart and intelligent sensors and systems Nanosensors, NEMS, MEMS, and BioMEMS Quantum sensors Sensor systems: sensor data fusion, signals, processing and interfacing, signal conditioning.
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