VOL 1, NO 1 (2023) (IN PUBLISHING)

Table of Contents

Articles

by Feng Li, Jianhang Yu, Ying Gao, Yanfeng Jiang
98 Views, 90 PDF Downloads

In this paper, a novel calibration algorithm for piezoresistive pressure sensors is proposed to address the problems of deviation from the zero point, nonlinearity, zero temperature drift, sensitivity temperature drift, etc. Firstly, the data is obtained through experimental tests. On the basis of analyzing the calibration principle of the pressure sensor calibration algorithm, the calibration coefficients are calculated. Then, the calibration algorithm is applied to obtain the calibrated output. In order to make the calibration algorithm applied to a high-end pressure sensor with a reduced cost, the calibration algorithm is implemented into a DSP chip (Digital Signal Processing). With the consideration of floating-point arithmetic processing and error interception, the synthesized DSP chip shows the advantages of fast arithmetic speed and low cost, which is of good value for engineering applications.

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Articles

by Bochi Meng, Xiaowen Tao
30 Views, 35 PDF Downloads
In response to the growing emphasis on environmentally friendly transportation and the challenges posed by factors like the epidemic and increasing fuel costs, an escalating number of individuals are turning to cycling as a sustainable and secure means of travel. However, in this era of technological advancement, characterized by the pervasive integration of digital tools, navigating through the information-rich landscape has become a commonality for car users yet remains relatively untapped for cyclists. This paper delves into an intricate exploration of the iterative process involved in conceiving and executing an augmented reality (AR) cycling glasses application. This innovative program stands to revolutionize the cycling experience by offering a seamless conduit for accessing pertinent information even while engaged in cycling. The research method incorporated a well-structured questionnaire designed to elicit the preferences of cyclists for AR glasses in a myriad of biking scenarios. The intent was to comprehensively ascertain the divergent needs that cyclists harbor for AR glasses across varying conditions. In summation, the paper unfurls a comprehensive narrative encapsulating the design, development, and real-world testing of an AR cycling glasses program. By melding technology with the art of cycling, the program stands as a testament to the potential of human-machine collaboration in augmenting the realms of physical activities and everyday experiences.
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Articles

by Zhixing Huang, Zhigang Wang, Xianjun Li, Jiawen Li, Tianyang Zhou, Dongshuo Wang
20 Views, 15 PDF Downloads
The improved generalized self-consistent model (GSCM) has shown good performance in predicting the mechanical properties of multiphase refractory materials. In this study, three representative refractory materials were selected to investigate the applicability of this model. Under ambient conditions, the mechanical properties of aluminum-magnesium-carbon material with multiple inclusions, magnesium-carbon material with low matrix and high aggregate content, and aluminum matrix material were predicted. The damage behavior of the materials under compression was simulated using an iterative method. The results showed that the GSCM still exhibited good predictive performance for the elastic modulus and Poisson’s ratio of multiphase inclusion materials and aluminum matrix materials, with errors of approximately 5%. When simulating the compressed damage behavior, the maximum error for AMC-type materials was around 10%, while for aluminum matrix materials, it was around 25%. The maximum errors occurred near the maximum strain, which was attributed to the excessive pore conversion rate in the GSCM when simulating material damage. At non-maximum strains, the fitting error was within an acceptable range, achieving the purpose of estimating the mechanical properties of the materials using this model. However, the predictive performance for materials with low matrix and high aggregate content was poor due to the inherent characteristics of these materials, where the matrix cannot effectively encapsulate the aggregates, resulting in heterogeneous mechanical properties at the macroscopic level. The limitations of the GSCM mechanism prevented it from achieving accurate predictions in such cases. In conclusion, the generalized self-consistent model can be applied to estimate the mechanical properties of various composite materials. However, for materials with heterogeneous mechanical properties, such as those where the matrix cannot effectively encapsulate the particle phase, the GSCM is not suitable.
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Articles

by Shifei Jiang, Zhaoguo Zhang, Faan Wang, Zhi Li, Kaiting Xie, Chenglin Wang, Jinhao Liang
20 Views, 20 PDF Downloads

As the final output product of tobacco agriculture, the appearance quality of cigarettes is the key link to control. However, there is no special detection equipment for the whole appearance defect detection of tobacco, while it mainly depends on manual detection, leading to the test standard is not unique and the test data cannot be stored effectively. In this research, the shape characteristics and appearance inspection requirements of cigarettes were analyzed with the black-box method. Then, a kind of cigarette appearance quality inspection equipment was designed, and the experimental data of the equipment was analyzed with Design-Expert11. The results show that the device can image the appearance of a cigarette completely. The optimum parameters of the equipment are: the lifting speed of slide plate is 0.3 m/s, the angle of transition plate is 40°, the displacement speed of roller is 0.045 m/s, the movement speed of the slide plate is 0.4 m/s, the expansion speed of the cylinder is 20 mm/s, the spring coefficient is 3 n/s, the angle of the light source is 10°, and the height difference between the light source and the cigarette is 30 mm. The equipment can meet the needs of cigarette appearance detection and provide a reference for cylindrical object appearance detection.

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Review Article

by Adel Razek
194 Views, 119 PDF Downloads

This article aims to evaluate and analyze the role of piezoelectric actuation in miniature robots in general and converging towards systems using traveling waves on beams and plates of thin structures. In other words, examining the later in the general context of the first. The useful values of interest concerned by this subject are diverse: applications needing high specific power particularly suitable for miniaturized robots, vibrations supervision, damage and fatigue revealing, medical and other micro pumps applications, different controls in difficult access areas, harvesting of energy, etc. The characteristics and behaviors of actuation, which is accomplished by resonant and non-resonant piezoelectric systems, are first reviewed and examined. The amplification of the actuation is then highlighted. Next, non-resonant piezoelectric actuators for stepping functions are discussed. Then, the main principles of piezoelectric resonant ultrasonic motors are summarized allowing the illustration of the operation of traveling wave piezoelectric resonant beam robots. Next, traveling waves on thin structures are examined, reviewed and conferred. This involves, driving of piezoelectric patches in miniature robots, applications of thin structure embracing piezoelectric materials, and finally thin structure piezoelectric miniature beams and plate robots. Following the last sections, a discussion of the operations of locomotion and positioning of the piezoelectric actuators is presented.

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