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38th Annual Meeting of the American Society for Precision engineering, ASPE 2023

作者： Kawamura, Naru Hayashi, Akio Morimoto, Yoshitaka Graduate School of Engineering Mechanical Engineering Program Kanazawa Institute of Technology Ishikawa Nonoichi Japan

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Design and Performance Comparison of Current References for a 32-bit Microcontroller Using 22nm technology 16

Design and Performance Comparison of Current References for ...

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16th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2025

作者： Barcelos, Eduardo A. Campagnucci, Pamela R. A. N. Munoz, Daniel M. Amaral, Wellington A. Haddad, Sandro A. P. Mechatronics Graduate Program Faculty of Technology Department of Mechanical Engineering Electronics Engineering Undergraduate Program University of Brasilia Faculty of Gama DF Brasilia Brazil

ISBN: (纸本)9798331522124

With the advancement of semiconductor technologies, the need for efficient power management solutions in integrated systems, such as RISC-V architecture-based microcontrollers, becomes increasingly critical. However, there is a lack of studies comparing current reference architectures in terms of performance and robustness, particularly in 22nm technologies. In this paper, we present a comparative analysis of two current reference designs implemented in the same technology-referred to as Reference Design A and Reference Design B. We focus on their approaches to thermal compensation, supply stability, and layout optimizations. Through simulations and experimental tests, we evaluate the performance of each design within a power management system that includes DC-DC converters and LDO regulators. Our results indicate that Design A exhibits superior power supply rejection with a PSRR of -85 dB, while Design B demonstrates enhanced energy efficiency and thermal stability, achieving a nominal current of 5.14 μA and a temperature coefficient of 16.21 ppm. These findings underscore the importance of balancing energy efficiency, thermal stability, and power supply variation rejection when selecting current references for low-power, high-reliability applications, such as those in the Internet of Things (IoT). © 2025 IEEE.

关键词： Integrated circuit layout

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Performance analysis on mechanical and machinability attributes of Al6061-B4C-T6 composites processed via hot extrusion

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Proceedings of the Institution of mechanical Engineers, Part B: Journal of engineering Manufacture 2024年第9期238卷 1386-1400页

作者： Tinga, Sibel Karakoç, Halil Yağmur, Selçuk Saravana Kumar, M. Şeker, Ulvi Çıtak, Ramazan Department of Metallurgy and Materials Engineering Gazi University Ankara Turkey Department of Mechanical Program Hacettepe University Ankara Turkey Department of Manufacturing Engineering Gazi University Ankara Turkey Graduate Institute of Manufacturing Technology National Taipei University of Technology Taipei Taiwan

In this study, composite materials with Al6061 alloy matrix and B4C particles reinforcement were produced by hot extrusion process. Fabricated composites were examined for the mechanical and machinability attributes. Al6061 alloy powders (4C particles (4C (3%, 6%, and 9% by weight) of and then cold pressed under 200 MPa pressure. The cold pressed powder metal block was extruded hot after preheating at 550°C for 1 h. Further, the composites were subjected to T6 aging heat treatment after hot extrusion. Microstructure, density, hardness, tensile strength, and wear properties were examined. The effects of cutting speed and cutting force on the machinability were also investigated. In addition, surface roughness and chips formation were examined. High density (99.6%) values were achieved with the extrusion process. With increasing B4C particles ratio, the hardness and tensile values were increased which was substantiated by the fracture morphology of the tensile specimens. It has been observed that tool smearing was high in the machining of the low-reinforced (3% B4C) composite. The highest cutting force was measured as 236 N at a feed rate of 0.27 mm/rev and a cutting speed of 250 m/min. It has also been observed that the average surface roughness decreased with increasing cutting speed and it increased with increasing feed rate. © IMechE 2023.

关键词： Microstructure

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A 22nm CMOS PFM Buck Converter Used in a 32-Bit RISC-V Microcontroller for IoT Applications 16

A 22nm CMOS PFM Buck Converter Used in a 32-Bit RISC-V Micro...

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16th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2025

作者： Oliveira, Luiz H. N. Amaral, Wellington A. Haddad, Sandro A. P. Munoz, Daniel M. Barcelos, Eduardo A. Sotero, Vinicius V. M. Jonhson, Emmanuel K. M. Campagnucci, Pamela R. A. N. Lima, Luis V. N. Electronics Engineering Undergraduate Program Faculty of Gama Brazil Mechatronics Graduate Program University of Brasilia Faculty of Technology Department of Mechanical Engineering DF Brasilia Brazil

ISBN: (纸本)9798331522124

The demand for efficient power management solutions in electronic devices has increased significantly, especially for microcontrollers operating in low-power modes. This article presents the design and implementation of a Pulse Frequency Modulation (PFM)-based buck converter for applications in 32-bit microcontrollers using 22nm CMOS technology. The methodology involves the development of a Constant On Time (COT) architecture that maintains a fixed duration for the activation of the high-side MOSFET, using a monostable multivibrator to generate the necessary timing signals. The converter's performance was simulated under various load conditions and process corners to evaluate its efficiency and output characteristics. The results show that the proposed buck converter achieves high efficiency, with peak values above 95%, while maintaining a low output ripple. Specifically, the converter exhibits an efficiency of 93.4% at a load of 1mA, with output ripple voltages as low as 2.20 mV under ideal conditions. The contributions of this work lie in the advancement of PFM converter technology for modern microcontroller applications, demonstrating the potential of 22nm CMOS processes to improve power efficiency and performance. © 2025 IEEE.

关键词： CMOS integrated circuits

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Multi-criteria decision model for selection of a material suitable to lightning strike protection in aerospace applications

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Materials Today: Proceedings 2022年 59卷 725-733页

作者： Himagireesh, Ch. Ramji, K. Durga Prasad, K.G. Hari Kiran, V. Department of Mechanical Engineering Engineering and Technology Program GayatriVidyaParishad College for Degree & P.G.Courses Andhra Pradesh Visakhapatnam India Department of Mechanical Engineering Andhra University Visakhapatnam India Department of Mechanical Engineering Avanthi Institute of Engineering and Technology Andhra Pradesh India

In order to protect the aerospace structures against electromagneticinterference (EMI) caused by lightning strikes, metallic meshes or foils are currently being used. But the additional weight of metallic meshes cause counterbalance of weight saving imparted by the composite materials. In this context, Al6061 hybrid metal matrix composite specimens with different proportions of SiC, Al2O3 and fly ash particulates as reinforcement materials have been prepared and tested their characteristics suitability to lightning strike protection (LSP). As there is a conflicting nature among these properties a multi-criteria decision model using AHP, Entropy and TOPSIS techniques with a view to select appropriate specimen to meet the objective. The results of the proposed decision model are compared with that of the other methods VIKOR and PROMETHEE so as to validate the results. The same weightages for the properties are used in all the three methods. The proposed decision model is the robust one for ranking of the materials. © 2021

关键词： Aluminum oxide

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Performance analysis of an Injera baking machine by using solar energy

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Materials Today: Proceedings 2022年 56卷 3285-3293页

作者： Suresh, P. Ali, M.D. Irfan Rao, P. Govind Rudrapati, Ramesh Mechanical Engineering Department Bharat Institute of Engineering and Technology Mangalpally Telangana Sagar road Ibrahimpatnam RR Dist India Thermal & Aerospace Program School of Mechanical Chemical and Materials Engineering Adama Science and Technology Ethiopia Mechanical Engineering Department Avanthi Research and Technology Bhogapuram India School of Mechanical Industrial Engineering Bulehora University Bulehora Ethiopia

The majority of Ethiopia's population, primarily women, is susceptible to smoke inhalation during cooking, and they spend the majority of their time striving to collect firewood. Biomass deforestation for cooking harms the rural household economy and contributes to national and global environmental change, such as pollution and health issues. The effort should aim to integrate the Scheffler concentrator with a thermal storage system via the secondary solar cooking reflector in order to stimulate indoor cooking while avoiding concerns associated by carbon inhalation and deforestation. As a result, the Injera bakery system powered by solar thermal energy is born. There is a primary (Scheffler), secondary (reflective), and thermal storage device incorporated, as well as a cooking (pan) mounts. Solid works software was utilized for Scheffler focus and secondary reflector modeling and simulation. The thermal retention capacity of a storage device is determined using heating and cooling curves generated by software modeling and simulation. The findings gained would aid in the development of any comfortable indoor cooking system specifically for rural areas without a grid connection, and as a result of this study, carbon inhalation and deforestation difficulties would be mitigated. Through automation, the output rate would also increase the amount and efficiency of injera. This analysis focuses on the Injera baker concept for domestic applications. © 2021

关键词： Solar energy

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Exploring Techniques for Estimating Distance in Leader-Follower AGV Systems 2

Exploring Techniques for Estimating Distance in Leader-Follo...

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2nd International Conference on Mechanics, Electronics, Automation and Automatic Control, MEAAC 2024

作者： Muenngam, Chetsadakorn Khaewnak, Nopparut Srisertpol, Jiraphon Prasoetkarn, Natthawut Mechatronics Engineering Program School of Mechanical Engineering Suranaree University of Technology 111 University avenue Muang district Nakhon Ratchasima30000 Thailand

ISBN: (纸本)9781643685403

The application of Automated Guided Vehicles (AGVs) for workpiece transportation in production processes is commonplace, particularly in the context of Industry 4.0. However, the high cost associated with AGVs presents a significant challenge. This paper proposes an approach to AGV tracking using a combination of camera-based QR code detection and ultrasonic sensors. The objective is to regulate the distance between leading and following AGVs, thereby addressing the operational costs associated with expensive equipment. Experimental investigations were conducted to assess the performance of QR symbols and color bars under varying lighting conditions, ranging from 200 lux to 650 lux. Accurate distance measurements were achieved within a range of 150 cm. In lower lighting conditions (100 lux to 250 lux), the RGB color bar detection failed at distances below 40 cm, whereas QR Code detection remained robust. Angle measurements demonstrated accurate readings up to 30 degrees from the camera's center, within distances of 50 to 125 cm, with an anticipated deviation of no more than 0.5 degrees. Subsequently, QR code symbols were chosen as the experimental control symbol, complemented by ultrasonic sensors for inter-vehicle distance maintenance. During practical testing, if the measured distance falls below 60 cm. while moving in a straight line, the motor ceases operation. Conversely, if the distance exceeds 80 cm, the motor activates, allowing the follower AGV to uphold the specified distance behind the leader AGV. Â© 2024 The Authors.

关键词： Ultrasonic sensors

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Exploring Classification, Size, and Quality of Mangifera Indica L. Through Image Processing and AI Techniques 2

Exploring Classification, Size, and Quality of Mangifera Ind...

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2nd International Conference on Mechanics, Electronics, Automation and Automatic Control, MEAAC 2024

作者： Wanthong, Irin Sri-On, Theeraphat Seangsri, Soontaree Khaengkarn, Sorada Srisertpol, Jiraphon Mechatronics Engineering Program School of Mechanical Engineering Suranaree University of Technology Nakhon Ratchasima Thailand Department of Mechatronics and Robotics Engineering School of Engineering and Innovation Rajamangala University of Technology Tawan-ok Chonburi Thailand

ISBN: (纸本)9781643685403

This paper introduces methods for efficiently classifying mangoes intended for export, a market valued at approximately 4,500 million baht annually. The classification process is divided into two primary components: size categorization and quality assessment. The first phase involves categorizing mango sizes into four distinct categories (M, 1L, 2L, 3L), while the second phase focuses on assessing mango quality, particularly detecting anthracnoseâ€"a prevalent disease affecting mangoes. This detection is achieved through image processing techniques, where images are converted into binary representations and analyzed using both Artificial Neural Networks (ANNs) and Convolutional Neural Networks (CNNs). Comparative analysis reveals that CNN outperforms ANN in size classification, achieving a remarkable train accuracy of 99.16% and a test accuracy of 88.0%. Furthermore, in quality classification, CNN demonstrates a train accuracy of 91.0% and a test accuracy of 88.0%. These findings underscore the effectiveness of CNN techniques in accurately classifying mangoes for export, thereby facilitating improved quality control and market competitiveness. Â© 2024 The Authors.

关键词： Convolutional neural networks

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Artificial Intelligence to Simulate engineering Properties of Soil

Artificial Intelligence to Simulate Engineering Properties o...

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2024 Advances in Science and engineering technology International Conferences, ASET 2024

作者： Elgaali, Elgaali Alshammari, Hiyam Joda, Akram Alnaqbi, Fatema Rajab, Hussain Dubai Men's College Higher Colleges of Technology Civil Engineering Program Dubai United Arab Emirates Dubai Men's College Higher Colleges of Technology Mechanical Engineering Program Dubai United Arab Emirates

ISBN: (纸本)9798350344134

Soil's engineering properties are critical components in designing sub and super structures. Knowing the engineering properties helps engineers determine the appropriate type of foundation for a building. Determining engineering properties needs laborious work in the field and in the lab. Alternatively, artificial intelligence (AI) is used in this study to estimate the soil's engineering properties. This project involves design and development of an artificial intelligence-based tool (Neural Network) to simulate soil's engineering properties (output) from physical properties (input). Namely, the artificial neural network (ANN) is developed to estimate the soil's axial compressive strength (output) form the soil's moisture content (input). The ANN is trained, validated, and tested using real data measured in the field. The performance of the ANN is measured by two statistics the correlation coefficient (R) and the root-mean-square error (RMS). As measured by the R statistic, there is a clear linear correlation between the measured and simulated axial compressive strength (R > 0.86). Clearly, the RMSE performance of the ANN is good (small values) and the ANN appears to have a good ability to map a relationship between the input (soil's physical property) and the output (engineering property). © 2024 IEEE.

关键词： Compressive strength

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Experimental study on open-end correction of a Helmholtz resonator narrow slit neck

Noise Control Engineering Journal

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Noise Control engineering Journal 2022年第2期70卷 128-135页

作者： Sakamoto, Shuichi Akiba, Yuki Iizuka, Ryo Watanabe, Shunsuke Kominami, Ryota Shintani, Tetsushi Mechanical Engineering Program Faculty of Engineering Niigata University Niigata Japan Graduate School of Science and Technology Niigata University Niigata Japan

In general, the acoustic effective length of the open end of an air column is longer than its geometric length. Here, the effective increment of the geometric length of an air column is called the open-end correction length, which is an acoustically crucial issue. The purpose of this study is to experimentally clarify the open-end correction length for a slit shape with a narrow clearance. For this reason, the sound absorption coefficient was measured using a sample in which the neck of the Helmholtz resonator was shaped as a slit with a narrow clearance. Next, the open-end correction length (i.e., mass end correction length and resistive end correction length) was calculated backward by comparing the experimental and theoretical sound absorption curves. The resistive end correction increased as the slit width became narrower within the range of 0.5 mm or less for both the center slit and the slit near the wall, indicating a significant discrepancy between the theoretical equation and the estimated value. For the mass end correction, in the case the center slit, the estimated value is close to the theoretical value of in the slit width range from 0.3 mm to 1.0 mm. The results of this study may be useful in eliminating discrepancies in correction values for open-end correction in slits with narrow clearance. © 2022 Institute of Noise Control engineering.

关键词： Acoustic wave absorption

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