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Journal of Measurements in Engineering

Publisher:
—
ISSN:
2335-2124
Category:
ENGINEERING, MECHANICAL
Impact factor:
0.6

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9 parsed articles

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Latest articles

Study on the effect of laser welding rate on Q235 weld quality

2026-02-18

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Journal of Measurements in Engineering, (in Press). Pinxiao Liu, Deping Liu, Guangyu Cai, Jisen Yan, Zhenyang Liu, Haonan Liu, Kai Li Q235 low-carbon steel is widely used in construction, bridges, machinery manufacturing and other fields because of its good plasticity and weldability. To explore the optimized application of laser welding technology in Q235 steel processing, this study used an EEF-LWM-1500 welding machine and systematically investigated the effect of different welding speeds on the joint quality of Q235 steel under the condition of a constant laser power of 1200 W. The weld quality was systematically evaluated through multiple characterization methods, including metallographic microscopy, scanning electron microscopy, tensile testing, microhardness measurement, electrochemical corrosion tests, and friction-wear experiments. Experimental results indicated that a welding speed of 120 mm/min caused burn-through in the steel plate, while increasing the speed to 240 mm/min achieved good joint formability. Notably, the heat-affected zone gradually decreased with higher welding speeds. The hardness and tensile strength of the laser-welded zone both exceeded those of the base material. Specifically, the average hardness of the weld zone peaked at 177.56 HV when the welding speed was 500 mm/min. Below this speed, hardness increased with rising welding speed, while it tended to decrease above 500 mm/min. Tensile strength showed a similar trend, with the highest value of 424.98 MPa and the lowest value of 421.94 MPa. Electrochemical corrosion tests revealed that the welded joint at 500 mm/min exhibited the smallest self-corrosion current density (1.41×10⁻5 A/cm2) and the largest capacitive arc radius, confirming optimal corrosion resistance. This study identifies that the optimal laser welding speed for Q235 steel is 500 mm/min, which provides important technical references for improving the welding quality and production efficiency of Q235 steel in practical production and expanding its application scope.

Measurement of gravitational constan t G between 30 t steel plate and 5 kg iron ball

2026-02-15

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Journal of Measurements in Engineering, (in Press). Qinggui Hu, Xinlong Zhang In 2008, we proposed the “New Experimental Scheme for Measuring the Gravitational Constant G between Large-Mass Objects”. In 2021, this scheme was implemented, yielding a new value of G: 9.09×10-9 N·m2/kg2. By contrast, the currently internationally recognized value is 6.67259×10-11 N·m2/kg2. The discrepancy between these two values is so significant that it cannot be adequately explained by traditional theories. To address this issue, a permanent experimental platform was established in early June 2023 at the new campus of Neijiang Normal University, enabling a repeat of the experiment. Based on this platform, an additional experimental measurement was conducted, resulting in a new G value of 7.3827302×10-10 N·m2/kg2. Subsequently, we analyzed the causes of the significant difference between the latest measured value and the first one. And we also performed a comparative analysis between the new experiment and the traditional Cavendish torsion balance experiment. The results demonstrated that the new experimental system features fewer error sources and higher stability. These new G values suggest that the gravitational constant may not be a true constant; instead, it could be related to factors such as the shape and density of objects etc.

Estimation of vehicle state based on improved dual layer UKF

2026-02-06

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Journal of Measurements in Engineering, (in Press). Qianqian Wang, Yingjie Liu, Dawei Cui In order to address the issue of lower estimation accuracy of traditional methods, an adaptive dual layer unscented Kalman filter algorithm (ADLUKF) is proposed, which combines the dual layer unscented Kalman filter (DLUKF) with an improved Sage-Husa algorithm to estimate the states and reduce the error in vehicle driving state estimation. The Carsim and Matlab/Simulink for joint simulation is applied and real vehicle test is established to verify the effectiveness of the estimator, and compare it with the Unscented Kalman Filter (UKF) algorithm. The results indicate that the ADLUKF algorithm can improve the estimation accuracy of vehicle estimation effectively.

Wide-band high-voltage cable current wireless measurement device based on TMR

2026-01-17

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Journal of Measurements in Engineering, (in Press). Zou Xiangyu, Zhou Yunjie, Li Hai, He Yang, Wang Xiaodi, Yang Shuting Wide-band electrical data contains abundant fault transient characteristics, but traditional transformers are difficult to accurately capture wide-band transient signals due to bandwidth limitations. To address this issue, this paper innovatively proposes a non-intrusive current measurement scheme based on an accurate time scale and develops a prototype device. A Tunnel Magnetoresistance (TMR) chip is used to detect the magnetic induction intensity generated by cable current, the ratio coefficient is derived from the spatial position of the high-voltage cable and the sensor, and data recording and real-time display are realized by a microprocessor. A low-noise adjustable gain sensing circuit and a transient signal wireless acquisition module are designed to improve the wide-band signal sensing capability; a mathematical model of the sensor installation position is established to achieve accurate reconstruction of the primary current. A validation platform is built to conduct measurement tests of Direct Current (DC), Industrial Frequency (IF), and transient processes, and a comparative experiment of ground fault current is carried out in a 110 kV high-voltage cable. The study identifies the key factors affecting the measurement accuracy of magnetoresistive sensors, and the experiments show that the measurement errors of DC and IF are controlled within 1 %, and the measurement errors of high-frequency signals do not exceed 3 %.This device adopts a combined power supply of solar cells and current transformer online power supply, which can provide up to 10 W of electrical power, with a lithium-ion polymer battery integrated inside as the energy storage module; the instrumentation op-amp is composed of three discrete operational amplifiers to meet the high bandwidth requirement for wide-band signal measurement.

Analysis of environmental driving mechanisms for vertical surface deformation in the permafrost section of the Qinghai-Tibet engineering corridor, China

2026-01-14

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Journal of Measurements in Engineering, (in Press). Qingsong Du, Anhua Xu, Fei Wang, Huimin Luo, Shunshun Qi Permafrost in the Qinghai-Tibet Plateau is highly susceptible due to thawing and degradation under the climate warming and extreme warming events, which can trigger surface subsidence and uplift phenomena. This study investigates the vertical surface deformation along the Qinghai-Tibet Engineering Corridor (QTEC) based on the dataset derived from interferometric synthetic aperture radar (InSAR) processing of the ascending and descending Sentinel-1 datasets. Using the geographical detector method, 24 potential factors influencing deformation was selected, including climatic, topographic, soil, hydrological, vegetation index, and cryospheric indicators to explore the driving mechanisms according to the q-value of factor detection processing. Results indicate that climatic factors (mean annual temperature and precipitation) and permafrost-related parameters (surface frost number, freezing index, thawing index) are the primary drivers of vertical deformation, with the q-value greater than 0.095. Topographic parameters (latitude, elevation, topographic relief, slope, longitude) also significantly influence deformation with the q-value between 0.054 and 0.086, followed by the east-west deformation rate and soil organic matter content with the q-value at 0.052, while other factors with the q-value less than 0.05. This study elucidates the intrinsic mechanisms driving surface subsidence and uplift along the QTEC, providing a theoretical foundation for the construction of future infrastructure projects and the maintenance of existing engineering facilities in permafrost regions.

Three-dimensional trajectory planning for unmanned aerial vehicles based on the starfish optimization algorithm (SFOA)

2025-12-13

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Journal of Measurements in Engineering, Vol. 14, Issue 1, 2026, p. 39-56 . Weiqi Feng, Yujie Fu, Yong Yang, Changjian Gao, Kaijun Xu When solving the path planning problem for Unmanned Aerial Vehicle (UAV) in a three-dimensional complex environment, traditional algorithms often face issues like falling into local optimum easily, insufficient global search ability, poor efficiency and defective optimization result. To address these issues, a three-dimensional path planning method is proposed based on the Starfish Optimization Algorithm (SFOA). This algorithm, inspired by the exploration, preying, and regeneration behaviors of starfish, balances global search and local exploitation, enhancing UAV trajectory planning in complex environments. The study constructs a complex three-dimensional environment model and designs a comprehensive optimization objective by covering constraints like trajectory length, safety, flight height, and smoothness. The trajectory planning framework proposed in this study is designed for pre-mission planning, generating UAV paths offline based on known static terrain and threat information. Comparative experimental results with Ant Colony Optimization and Particle Swarm Optimization show that the SFOA-based UAV trajectory planning achieves significant improvements in comprehensive cost and convergence speed, demonstrating superior global optimization performance. This offers an innovative solution for UAV efficiently and safe trajectory planning in complex environments.

Prediction of wharf subsidence deformation degree based on deep learning technology

2025-09-18

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Journal of Measurements in Engineering, Vol. 13, Issue 4, 2025, p. 845-853 . Heng Wang, Kai Li, Wenwu Cai This paper presents an algorithm that combines a convolutional neural network (CNN) with a gated recurrent unit (GRU) to predict the wharf subsidence deformation. First, the digital elevation model (DEM) image features of the wharf area were extracted using the CNN, and then the patterns of change in wharf settlement were captured using the GRU. Moreover, the wharf in the Longtan Port area of Nanjing Port, located in Jiangsu Province, was analyzed. When the CNN comprised three convolutional layers and the activation function was set to sigmoid, the prediction performance of the proposed algorithm was the best. In both short-term and long-term scenarios, the CNN+GRU algorithm had better prediction performance than long short-term memory and GRU models.

Development of a flexible piezoresistive sensor prototype using resin doped with magnetically oriented nanoparticles

2025-09-13

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Journal of Measurements in Engineering, Vol. 13, Issue 4, 2025, p. 1018-1028 . Rafael Hernando Blanco Gómez, Andres Felipe Rubiano Navarrete, Carlos Andrés Palacio Gómez, Leonel Paredes-Madrid, Yaneth Pineda Triana High-performance flexible piezoresistive sensors are highly useful in areas such as biomedicine, soft robotics, and pressure change detection technology. However, they require complex designs and advanced manufacturing methods. In this study, the design and fabrication of a flexible piezoresistive sensor using a flexible resin matrix doped with magnetically oriented iron nanoparticles is presented. The sensor consists of a flexible polymer resin matrix as substrate, reinforced with iron nanoparticles in different concentrations (0.5 %, 0.7 % and 1 % by weight), oriented by a magnetic field during the manufacturing process. The nanoparticles significantly enhance the piezo-resistive properties of the sensor, increasing its sensitivity and electrical conductivity under compressive loads. The sensor demonstrated high sensitivity under loads greater than 100 N in samples with concentrations of 0.7 % and 1 % of nanoparticles, and exhibited stability during cyclic testing, demonstrating durability. Additionally, stability tests showed excellent durability in repeated load cycles. Scanning Electron Microscopy (SEM) and Confocal Laser Scanning Microscopy (CLSM) confirmed the effective alignment and distribution of the nanoparticles within the matrix, enhancing conductivity. This flexible piezoresistive sensor doped with nanoparticles has great potential for future applications in technologies such as soft robotics and electronic skins, where high sensitivity and durability in pressure detection are required.

Study on stability of shaft surrounding rock under adjacent shafts mining disturbance in underground mine

2025-09-07

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Journal of Measurements in Engineering, Vol. 13, Issue 4, 2025, p. 982-1004 . Feifei Wang, Anmin Jiang, Zhenjun Cui The stability of mine shafts is crucial for safe production in underground mining. To elucidate the impact of adjacent shaft mining disturbance on shaft structural stability in underground mines, this study takes a Manganese Mine in Guizhou, China as a case study. A refined three-dimensional model at engineering scale was established by using the Rhino-FLAC3D coupled modeling method. This model can numerically simulate the mining of ore bodies at different stages of mining. The displacement, stress distribution, and plastic zone in both strata and shaft surrounding rock were systematically analyzed to reveal the response laws of shaft surrounding rock under mining disturbance. The results showed that during the first and second mining phases, no measurable deformation occurred in the surrounding rock of the main shaft, auxiliary shaft, or ventilation shaft. During the third mining phase, the maximum displacement observed in these shafts’ surrounding rock reached 0.048 m, which remains within the stability threshold of rock masses according to evaluation criteria. Regression analysis was conducted on the monitoring displacement of three mining stages, and power function fitting curves were obtained. Plastic zones (20-30 m range) developed along the periphery of goaf areas, maintaining a safe distance of 45-55 m from adjacent shafts. A stress gradient formed around goaf areas, with tension stresses up to 1.33 MPa exceeding the ultimate tension strength of roof strata. There was potential tension failure in the roof strata of the goaf. Although mining disturbance effects on main and auxiliary shafts intensified with depth progression, no substantial structural impacts were observed. This confirms that all shaft structures can maintain stability during operational phases. The findings provide theoretical guidance for shaft stability control in deep mining operations.