Category Archives: Engineering

Blast furnace gas combustion: A sustainable alternative for the steel industry?

Graphical abstract. Credit: ACS Omega (2022). DOI: 10.1021/acsomega.2c02103 Currently, energy-intensive industries are shifting their production and processes towards more sustainable models. Thus, industrial processes can increase their efficiency while reducing pollutant emissions. Several strategies are being promoted to reach these energy efficiency objectives, such as waste heat recovery, waste stream valorization and electrical flexibility. Looking…

Miniature permanent magnets can be printed on a 3D printer

Miniature permanent magnets printed on a 3D printer. Credit: UrFU / Oksana Meleshchuk Scientists from the Ural Federal University and the Ural Branch of the Russian Academy of Sciences are determining the optimal conditions for 3D printing of permanent magnets from hard magnetic compounds based on rare-earth metals. This will make it possible to start…

Would you like a QR code embedded in that cookie? Unobtrusive edible tags using food 3D printing

We experiment several internal structures to estimate the optimal solution for the structure that does not change the appearance of the cookie, but still allows the data to be read. Credit: Miyatake et al., ACM UIST 2022, CC BY-ND, 2022 There is currently a race to develop edible tags for food so that, for example,…

Advances in in-sensor image memorization and encoding

Design and characterizations of single InGaAs 1P-1R integrated device. a Schematic illustration of the fabricated InGaAs 1P-1R device. b Equivalent circuit diagram of the 1P-1R structure, and three key operations in the 1P-1R device depending on applied bias voltage: (i) memorization, (ii) computation, and (iii) erasing operations. Each background color matches the corresponding operation range…

Electrostatic atomization reduces tool wear and occupational health risks

Development history of MQL. Credit: International Journal of Extreme Manufacturing (2022). DOI: 10.1088/2631-7990/ac9652 Scientists from Qingdao University of Technology for the first time summarized the development status and technical bottlenecks of electrostatic atomization minimum quantity lubrication (MQL) to further promote the green transformation of manufacturing industry. Publishing in the International Journal of Extreme Manufacturing, the…

Bifacial monolithic all-perovskite tandem solar cells form new architecture

Schematic illustration (left) and cross-sectional scanning electron microscopy image (right) of bifacial monolithic all-perovskite tandems. Credit: Hongjiang Li, Yurui Wang, Han Gao, Mei Zhang, Renxing Lin, Pu Wu, Ke Xiao, and Hairen Tan Metal halide perovskite solar cells have attracted enormous attention as their power conversion efficiencies (PCEs) continued to increase from below 4% to…

Empty buildings consume more energy than you think

Buildings consume more energy when empty or partially occupied for extended periods because they are designed to depend on human interactions. Credit: Shutterstock Over the past few decades, the booming global population, growing cities and changing climate have brought global attention to the need to build energy-efficient and sustainable buildings. Evidence suggests that residential energy…

Generalized data-driven model-free predictive control designed for electrical drive systems

Credit: Pixabay/CC0 Public Domain High-end equipment manufacturing has experienced rapid development in recent years, and the alternating current (AC) motor is indispensable. Traditional control strategies on the motor driving system cannot fully meet the requirements such as strict control accuracy, stable torque and multiple objective optimizations. As the third generation of advanced control technology, predictive…

The most promising control scheme for permanent magnet synchronous motors

TQ-230 Permanent Magnet Synchronous Traction Motor and YQ-275 Squirrel-cage Asynchronous Traction Motor. Credit: 維基小霸王/Wikimedia Commons, CC BY-SA Electrical machines consume nearly half of all the electrical power generated worldwide, making them one of the top contributors to carbon dioxide emissions. If we are to develop sustainable societies, we must, therefore, make sure that the electric…

Convolutional neural network framework to predict remaining useful life in machines

A team of researchers, led by Dr. Zhenghua Chen of the Agency for Science, Technology and Research, Singapore, questioned the conventional choice of picking RNNs over CNNs, and proposed a series of new CNNs, which showed results comparable to RNN methods for RUL prediction. Credit: Chinese Association of Automation Modern industries require efficient and reliable…