基于3 × 3矩阵电极阵列的双平面微型平面三维ECT传感器

IF 1.6 4区 工程技术 Q3 INSTRUMENTS & INSTRUMENTATION
Wen Pin Gooi, Pei Ling Leow, Jaysuman Pusppanathan, Xian Feng Hor, Shahrulnizahani Mohammad Din
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引用次数: 0

摘要

作为层析成像技术的一种,电容层析成像(ECT)在许多工业领域得到了广泛的应用。虽然大多数电痉挛传感器都将电极放置在圆柱形腔室周围,但平面电痉挛传感器已经被研究用于深度和缺陷检测。然而,平面电痉挛传感器由于其单面评估,仅使用单平面设计,因此高度和深度传感能力有限。本文的目的是研究一种采用3 × 3矩阵电极阵列的双平面微型平面三维ECT传感器的设计。采用三维可视化、奇异值分解和轴向分辨率分析等方法,对双平面微型平面三维ECT传感器的灵敏度图进行了分析。然后,在三维成像实验的基础上,对传感器进行了性能分析。结果灵敏度图分析表明,双平面微型平面三维电痉挛传感器具有增强的高度感知能力,并且在三维图像重建中具有较小的病态性。与单平面传感器设置相比,双平面微型平面3D ECT传感器在重建3D图像质量方面提高了28%。提出了3 × 3矩阵电极阵列,仅使用必要的电极对组合进行图像重建。此外,双平面传感器设置的电极数量的增加提高了测试样品的高度重建。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual-plane miniature planar 3D ECT sensor based on 3 × 3 matrix electrode array
Purpose As one of the tomographic imaging techniques, electrical capacitance tomography (ECT) is widely used in many industrial applications. While most ECT sensors have electrodes placed around a cylindrical chamber, the planar ECT sensor has been investigated for depth and defect detection. However, the planar ECT sensor has limited height and depth sensing capability due to its single-sided assessment with the use of only a single-plane design. The purpose of this paper is to investigate a dual-plane miniature planar 3D ECT sensor design using the 3 × 3 matrix electrode array. Design/methodology/approach The sensitivity map of dual-plane miniature planar 3D ECT sensor was analysed using 3D visualisation, the singular value decomposition and the axial resolution analysis. Then, the sensor was fabricated for performance analysis based on 3D imaging experiments. Findings The sensitivity map analysis showed that the dual-plane miniature planar 3D ECT sensor has enhanced the height sensing capability, and it is less ill-posed in 3D image reconstruction. The dual-plane miniature planar 3D ECT sensor showed a 28% improvement in reconstructed 3D image quality as compared to the single-plane sensor set-up. Originality/value The 3 × 3 matrix electrode array has been proposed to use only the necessary electrode pair combinations for image reconstruction. Besides, the increase in number of electrodes from the dual-plane sensor setup improved the height reconstruction of the test sample.
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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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