نشریه مهندسی مکانیک و ارتعاشات
سال سیزدهم شماره 1 (پیاپی 46، بهار 1401)

Nanofluids have been highly interested by researchers based on their interesting thermophysical properties and application in important branches of engineering such as heat transfer. However, there are contradictions in the laboratory results and the topics presented in several cases such as effective heat conduction, convection heat transfer coefficient and boiling heat transfer rate. In contrast to convective heat transfer, limited efforts have been made in boiling nanofluids. However, to exploit nanofluids as the next generation of coolants, boiling research is essential. The boiling process in magnetic fluids (a class of nanofluids with magnetic nanoparticles, mainly iron), in addition to showing the general characteristics of the boiling of nanofluids, is remarkable due to its ability to be controlled by the application of a magnetic field.

Along with the considerable growth of emerging technologies (such as artificial intelligence and big data, internet of things, blockchain, cloud computing, etc.) and expansion of their application in people’s everyday life, one of the technological concepts which has received more attention recently is the Metaverse or meta-universe. Metaverse as a virtual world is based on Virtual Reality technology and simulates environments, objects, people and their communications in a 3D space and provides a near-reality experience known as immersive experience for users. One of the contexts which is noticeably affected by Metaverse is education. Using VR and Metaverse, we can cope with many existing educational challenges such as space and time limitations, lack of sufficient raw materials, difficulties of equipment maintenance, etc. using cost-effective and low-risk solutions. In this paper, Mechaverse, the Iran’s first domain-specific metaverse of mechanical engineering is introduced which is designed and implemented to provide laboratory courses and skill workshops related to physics and mechanics. Afterwards, necessary tools for development of Mechaverse are described and some defined practical courses and the mechanisms of accessing and using them are discussed.

Wireless Sensor Networks (WSNs) have numerous applications in agriculture, including pest detection to ensure high crop yields. However, energy optimization is a major challenge for WSNs, particularly with regard to the energy consumption of sensor nodes. To address this challenge, in this paper, is proposed a novel approach for improving energy conversion efficiency in WSNs for pest detection in agriculture environments, using genetic programming-based data aggregation. The proposed approach is implemented in MATLAB software, and the results are compared with previous works to validate its effectiveness in improving energy conversion efficiency. By optimizing energy conversion, the proposed approach can enhance the accuracy and effectiveness of pest detection while minimizing energy consumption, prolonging the lifespan of sensor nodes, and supporting sustainable and eco-friendly agriculture practices.