Abstract

This study focuses on parameter optimization and detection signal comparison of planar coil particle detection sensors, and conducts in-depth analysis of different core materials. Through finite element simulation analysis and experimental verification, the influence of coil turns, diameter, thickness and other parameters on magnetic field distribution and particle detection signals was systematically explored, and the sensor chip structure design was optimized. The study found that a planar coil with 60 turns and an inner diameter of 1.2 mm performed best. At the same time, the enhancement effect of different magnetic core materials (including iron core, silicon steel sheet and permalloy) on the magnetic field and detection signal was investigated. It was found that the permalloy magnetic core can significantly improve the sensor performance. Copper particles have effective detection capabilities. This research provides theoretical and experimental basis for optimizing the detection sensor of metal particle contaminants in oil, and has important academic value and application prospects.

Biography

Yuqing Sun received the M.Sc. and Ph.D. degrees in marine engineering from Dalian Maritime University, Dalian, China, in 1989 and 1996, respectively. He is currently a Professor with the Marine Engineering College, Dalian Maritime University. His current research interests include mechatronics, ship’s auxiliary machinery, hydraulic drive and control, and refrigeration technique.

Abstract

Nowadays, we are striving to utilize renewable energy sources in nearly every sector to overcome pollution. Our primary objective is to demonstrate that the Sun Path Tracker, either with two or one degree of freedom, is more energy-efficient than fixed solar panels. Our recent research, demonstrated that the Sun Path Tracker, either with two or one degree of freedom, is more energy-efficient than fixed solar panels This study offers solutions to optimize photovoltaic energy production by passing from experimentation using a solar tracking system and a Sun Astronomic Position Algorithm, that incorporates three different degrees of freedom photovoltaic panels mounted in mobile bracket and artificial intelligence optimization using stochastic algorithms. The energy data from the photovoltaic panels is stored in real-time, in local or external database (IoT). This work had permitted to enhance the conversion efficiency of the Photovoltaic panels by using the tracking technique and the Sun Algorithm Position via Astronomic calculation in the same line, we had built a database permitting to store the details about the different positions of tracking system with their equivalent energy values in their real actual reading times. Based on the average calculations, our solution provides between 8,43% and 14,56% of energy yields significantly higher than fixed solar panels. This current research focuses on how to apply a Sun Path Tracker on a robot in order to maximize the solar energy stored in its battery.  Our prospective study enables the robot to optimize its energy during its rest, hibernation, or “SUNERNATION” phase.

Biography

ABDELLATIF HRAICH is currently Professor, at Ministry of National Education, High School of Computing Sciences and substitute professor, at National School of Applied Sciences Abdelmaled Essadi University, Tetouan, Morocco. He is Microsoft-certified and responsible for conducting Microsoft certification training.          He Was born in 1969 in Sidi Kacem, Morocco. obtained the professional master’s degree in information technology (IT) from the University of Sherbrooke, Canada in September 2010.

Existing fully-automatic transplanters suffer from issues such as low accuracy in conveying and positioning seedling trays, inefficient picking and throwing due to complex movement paths, and seedling damage during the picking process. To address these challenges, this study presents innovative devices for seedling conveying in the X-direction and seedling picking in the Y-direction, considering both row and longitudinal intervals, which simplifies the mechanical structure. Based on these devices, methods were developed to achieve precise seedling positioning in both X and Y directions using multi-sensor combinations and motor control. A Finite State Machine (FSM) model was employed to propose a cooperative method for conveying and picking seedlings, simplifying the execution order and enabling continuous action without dragging or injuring the remaining seedlings. Experimental validation using 72-hole trays demonstrated that positioning deviation increased with motor pulse frequency, with a maximum deviation of 1.35 mm at 800 Hz, which remains within operational requirements. The qualification rate of seedling positioning was 100 % under various transmission speeds. The soil damage ratio (SDR) was measured to evaluate picking success, revealing an average successful seedling extraction rate of 95 %. These research findings offer technical support for efficient coordination between seedling conveying and picking in automatic transplanters.

Printed Electronics PE in the last decades have gained more and more importance. Applications in important fields are possible which before were equipped with State-of-the-Art SoA devices having a hard case housing and a rigid printed circuit board. Insofar PE devices are much more environmentally friendly than SoA devices.

In total small electronic devices show an increasing demand because more and more things must be controlled. That concerns especially:

• Logistics, RFID
• Smard Card for financial applications and others
• Transportation trackers, like T-Logger for documenting the cooling chain
• Health monitoring in the hospitals as well as for hobby sports
• …. And of course, Internet-of-Things IoT

These devices are equipped with conducting path, antenna, printed transistors OTFT, OLED and OPV. Todo almost all applications are passive. The µChips on it can only operate if an energy source like Radio-Frequency RF field or a light source is close to it. For an extended operation the PE device needs an energy source, like Printed Batteries PB or Printed Supercapacitors PSc. Preferably these energy sources are also printed.

The development of PB was done, among others, at VARTA. They developed a PB using the electrochemical system Zinc-Manganese Dioxide-Chloride Electrolyte ZnC. This system is easy to be printed – this will be explained more in detail in the talk. But also, PSc have a serious chance because they are > 1000x rechargeable.

In the talk it will be shown which properties the PB and PSc should have and how they can be integrated. Furthermore, it will be shown how the energy sources can be perfectly adapted to the application. This is important to:

• Save materials, costs
• Make them more environmentally friendly
• Make them smaller, thinner, more flexible

Finally, it will be described how important a worldwide cooperation is in this field. There is expertise from many disciplines requested, along the value chain from materials, processes to the end-users.

Krebs M., Huebner G.

“Cell and Battery Design – Cells | Printed”

Chapter 8 in “Electrochemical Power Sources: Batteries, Fuel Cells, and Supercapacitors” edited by Jürgen Garche et al., Elsevier,2025, ISBN 978-0-323-95822-6, P. 557, Fig. 2