Improved Low Concentration Water Content Detection in Biodiesel Utilizing Phase-Shift-Based Capacitive Method

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Hari Sumartono;Mahfudz Al Huda;Berkah Fajar TK;Achmad Widodo;Fatih Dzulfiqar;Nacep Suryana;Azmi Muhamed;Illyas Md Isa;Suriani Abu Bakar;Ratno Nuryadi
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Abstract

Biodiesel has become an alternative fuel to substitute conventional fuel, yet challenges remain, particularly concerning water content. The presence of water in biodiesel can negatively impact engine spray and combustion properties and may lead to damage storage tanks. To address this issue, a phase-shift-based capacitive sensor was developed in this study to accurately measure water concentration in biodiesel. The sensor, designed with a semicylindrical electrode on a glass tube, is integrated with a signal conditioning circuit and the Digilent Analog Discovery module, allowing for real-time data analysis and enhanced sensitivity in detecting low concentrations of water concentration in biodiesel. The experimental results demonstrated a direct correlation between capacitance values and phase shift, with higher capacitance leading to more significant phase shifts. A Bode plot and simulation analysis, utilizing the transfer function, validated these experimental conditions, confirming the relationship between capacitance and signal phase shift. Additionally, experiments assessing biodiesel water content revealed a proportional increase in phase-shift angle with rising water concentration, measuring water concentration in biodiesel at levels as low as 800 ppm. These findings underscore that the phase-shift magnitude in the sensor’s output reliably detects low-concentration water content in biodiesel. The performance of this sensor is particularly advantageous due to its high sensitivity, enabling the detection of low water concentrations that are crucial for maintaining biodiesel quality. Moreover, the real-time data analysis capability provided by the Digilent Analog Discovery highlights the sensor’s practicality and efficiency for on-the-spot monitoring, offering a significant improvement over conventional methods.
基于相移电容法的生物柴油低浓度含水量检测改进
生物柴油已成为替代传统燃料的替代燃料,但挑战依然存在,特别是在水含量方面。生物柴油中水的存在会对发动机的喷射和燃烧性能产生负面影响,并可能导致储罐损坏。为了解决这一问题,本研究开发了一种基于相移的电容式传感器,以准确测量生物柴油中的水浓度。该传感器在玻璃管上设计了一个半圆柱形电极,集成了信号调节电路和Digilent Analog Discovery模块,可以进行实时数据分析,并提高了检测生物柴油中低浓度水浓度的灵敏度。实验结果表明,电容值与相移之间存在直接关系,电容值越高,相移越明显。利用传递函数的波德图和仿真分析验证了这些实验条件,证实了电容与信号相移之间的关系。此外,评估生物柴油含水量的实验显示,随着水浓度的升高,相移角成比例地增加,测量生物柴油中的水浓度低至800 ppm。这些发现强调,传感器输出的相移幅度可靠地检测生物柴油中低浓度的水含量。由于其高灵敏度,该传感器的性能特别有利,可以检测对维持生物柴油质量至关重要的低水浓度。此外,Digilent Analog Discovery提供的实时数据分析能力突出了传感器在现场监测方面的实用性和效率,与传统方法相比有了显着改进。
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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