复合材料层板的修补——Ⅱ:模型

为计算用斜接和均匀搭接方法修补的复合材料层板的破坏荷载而设计了模型。这些模型计及在层板和修补层片中每层的各向异性以及胶粘剂或层板和修补贴片间树脂隔层的非弹性特性。在这些模型基础上,编写了2个电子计算机编码用于计算破坏荷载值。第1个编码是为计算用均匀搭接方法修补的层板的破坏荷载,第2个供计算用斜接技术修补层板的破坏荷载。由这些模型(和相应的电算编码)计算的破坏荷载与试验数据作了比较,发现在模型和试验的结果之间有很好吻合。

复合材料层板的修补——Ⅰ:试验结果

用不同修补材料修补的各种基本层板的破坏荷载(根据无损层板的破坏荷载(见表2)标称的)对斜接修补示于图9～10,而对阶形搭接修补示于图11～12。在这些图中的结果是对干试件的和对浸水中14d增湿试件的。还得到曝露在100%湿空气180F下达到1.1%含水量试件的资料。由水和湿空气增湿试件的破坏荷载显示相同的趋势。因此,由湿空气增湿试件的数据这里未给出,但在文献[29]中有。根据数据指出下列趋势: 对湿法手糊修补(斜接和阶形搭接),修补材料的类型未显著影响破坏荷载。

Piezoelectric strain sensor with high sensitivity and high stretchability based on kirigami design cutting

Wearable technology requires high-performance sensors with properties such as small size,flexibility,and wireless communication.Stretchability,sensitivity,and tunability are crucial sensor properties;stretchability and sensitivity ensure user comfort and accurate sensing performance,while tunability is essential for implementing sensors in diverse applications with different ranges of motion.In this study,we developed a high performance kirigami piezoelectric strain sensor.Using finite element analysis,the sensing performance was evaluated,and the kirigami patterns were optimized.The electromechanical properties of sensors with four different kirigami patterns were analyzed.A sensor voltage measurement circuit was also designed,amplifying the output voltage 86.5 times by improving measurement accuracy.A piezoelectric kirigami sensor was constructed with a sensitivity of 9.86 V/cm^(2) and a stretchability of 320.8%,higher than those of previously reported kirigami piezoelectric strain sensors.Finally,the fabricated sensor was successfully applied in a haptic glove for playing musical instruments.

Arduino-based low-cost electrical load tracking system with a long-range mesh network

A system that combines the advantage of the long-range(LoRa)communication method and the structural characteristics of a mesh network for an LoRa mesh network-based wireless electrical load tracking system is proposed.The system demonstrates considerable potential in reducing data loss due to environmental factors in farfield wireless energy monitoring.The proposed system can automatically control the function of each node by confirming the data source and eventually adjust the system structure according to real-time monitoring data without manual intervention.To further improve the sustainability of the system in outdoor environments,a standby equipment is designed to automatically ensure the normal operation of the system when the hardware of the base station fails.Our system is based on the Arduino board,which lowers the production cost and provides a simple manufacturing process.After conducting a long-term monitoring of a near-field smart manufacturing process in South Korea and the far-field energy consumption of rural households in Tanzania,we have proven that the system can be implemented in most regions,neither confined to a specific geographic location nor limited by the development of local infrastructure.This system comprises a smart framework that improves the quality of energy monitoring.Finally,the proposed big-data-technology-based power supply policy offers a new approach for prolonging the power supply time of off-grid power plants,thereby providing a guideline for more rural areas with limited power sources to utilize uninterrupted electricity.

CAD/CAM for scalable nanomanufacturing:A network-based system for hybrid 3D printing

Micro-and nano-structuring have been highlighted over several decades in both science and engineering fields.In addition to continuous efforts in fabrication techniques,investigations in scalable nanomanufacturing have been pursued to achieve reduced feature size,fewer constraints in terms of materials and dimensional complexity,as well as improved process throughput.In this study,based on recent micro-/nanoscale fabrication processes,characteristics and key requirements for computer-aided design and manufacturing(CAD/CAM)systems for scalable nanomanufacturing were investigated.Requirements include a process knowledge database,standardized processing,active communication,adaptive interpolation,a consistent coordinate system,and management of peripheral devices.For scalable nanomanufacturing,it is important to consider the flexibility and expandability of each process,because hybrid and bridging processes represent effective ways to expand process capabilities.As an example,we describe a novel CAD/CAM system for hybrid three-dimensional(3D)printing at the nanoscale.This novel hybrid process was developed by bridging aerodynamically focused nanoparticle printing,focused ion beam milling,micromachining,and spincoating processes.The system developed can print a full 3D structure using various inorganic materials,with a minimum process scale of 50 nm.The most obvious difference versus CAD/CAM at‘conventional’scales is that our system was developed based on a network to promote communication between users and process operators.With the network-based system,it is also possible to narrow the gap among different processes/resources.We anticipate that this approach can contribute to the development of CAD/CAM for scalable nanomanufacturing and a wide range of hybrid processes.

Correction to:Arduino-based low-cost electrical load tracking system with a long-range mesh network

Correction to:Adv.Manuf.https://doi.org/10.1007/s40436-020-00310-5 In the original publication the first author name is published incorrectly as "Xin-Lin Wang".The correct author name should be read as "Xinlin Wang".Also,the correct fund note in the acknowledgement section should be "This research was supported in part by the International S&T Cooperation Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Science,ICT&Future Planning(MSIP)(Grant No.NRF-2017K1A3A9A04013801),and by the Basic Research Lab Program through NRF funded by the MSIT(Grant No.2018R1A4A1059976)".The correct author name and correct fund note is available in this correction.