Browse Topic: Bolts
Breaking down the critical differences in fastener selection for EV platforms. Specifying fasteners for an electric vehicle is a fundamentally different exercise compared to an ICE vehicle. For ICE vehicles, the main challenges - heat, vibration, and torque repeatability - are well understood, and the industry has decades of established solutions to draw from. EVs introduce four additional constraints that change the equation entirely: high-voltage (isolation, low magnetic permeability, thermal-cycling resilience and gram-level weight targets. A mis-specified bolt at the battery, busbar, or inverter level can reduce efficiency, compromise safety or void certification. To get it right, there is a need to understand each constraint and the materials that can address it.
With the development of controlled nuclear fusion technology, the tokamak device, as the most promising magnetic confinement fusion reactor for advanced engineering applications, requires remote maintenance of its internal components, which has become a key factor affecting both operational efficiency and safety. As a critical component directly exposed to high-temperature plasma, the divertor target plate needs to be periodically replaced and carefully maintained to ensure stable and reliable reactor operation. However, this region is subject to extreme conditions, including high temperature, high vacuum, and intense radiation, making conventional manual maintenance infeasible. This necessitates the development of intelligent and automated teleoperation systems. To address the automated assembly and disassembly requirements of divertor target plates, this study designs an integrated target plate actuator comprising key functional units: a positioning module, a screwing module, a quick-change module, and a passive compliance structure. The actuator achieves rapid and precise alignment with target plate holes, accommodates bolts of different specifications, and exhibits excellent impact resistance. Furthermore, stiffness and mechanical analyses, supported by finite element simulations, verify the actuator’s safety and reliability under high loads and impact forces. To further enhance operational performance, a segmented disassembly and assembly control strategy based on reinforcement learning is proposed, enabling the actuator to adaptively handle torque variations and ensure precise and stable bolt operations. The results demonstrate that the proposed actuator and control strategy significantly improve the accuracy, stability, and efficiency of target plate operations under complex working conditions, providing a reliable solution for automated divertor maintenance in tokamak devices.
Items per page:
50
1 – 50 of 2449