Dissertation/Thesis
Energy Innovation: The Controlled Resonance and Centrifugal Force Generator – Harnessing Dynamics for Unprecedented Power
| Τίτλος: | Energy Innovation: The Controlled Resonance and Centrifugal Force Generator – Harnessing Dynamics for Unprecedented Power |
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| Συγγραφείς: | Tommaso, Covone |
| Στοιχεία εκδότη: | Zenodo |
| Έτος έκδοσης: | 2025 |
| Συλλογή: | Zenodo |
| Θεματικοί όροι: | Energy Generation, Centrifugal Force, Controlled Resonance, Spiral Dynamics, Gyroscopic Effects, Multi-Axis Coherence, Dynamic Systems, Unbalanced Rotor, Kinetic Energy Conversion, Advanced Control Systems, Predictive Control, Neural Networks, Real-Time Monitoring, Structural Health Monitoring, Sustainable Energy, Clean Energy, Renewable Energy, Piezoelectric Conversion, Hydraulic Power, Linear Electromagnetic Generation, Self-Regulation, Energy Innovation |
| Περιγραφή: | The "Controlled Resonance and Centrifugal Force Generator" introduces a radically new approach to energy generation by transforming centrifugal force and dynamic instability into a coherent, self-regulating system. Unlike traditional technologies that resist imbalance and vibration, this system embraces them, converting dynamic spiral motion into potential energy pathways. Initially inspired by the observation of unbalanced rotating systems, the generator leverages an unbalanced mass within an inverted wedge to initiate and sustain a controlled spiral trajectory. The system operates within a "dynamic coherence window," where centrifugal pressure and orbital return create a self-sustaining cycle. This latest update, published as an appendix, expands the conceptual framework by fully integrating gyroscopic dynamics and multi-axis coherence. The system now demonstrates not only spiral-based energy behavior but also intrinsic gyroscopic precession, which enriches its stability and self-regulation potential. Key innovations include: Dynamic control based on real-time centrifugal pressure and multi-axis feedback. Integration of gyroscopic precession as a functional component, not a disturbance. Conceptual pathways for energy conversion through piezoelectric, hydraulic, and linear electromagnetic systems. Proposal of adaptive control architectures using predictive algorithms, neural networks, and real-time mapping to maintain coherence. Robust safety mechanisms, predictive maintenance protocols, and self-diagnosis based on structural and dynamic monitoring. This version consolidates previous publications and provides a comprehensive model, inviting the scientific community to collaborate in experimental validation, simulation, and technological refinement. The project is released under an open and ethical license to foster transparent, responsible, and peaceful development of sustainable energy technologies. |
| Τύπος εγγράφου: | Thesis |
| Γλώσσα: | English |
| Relation: | https://zenodo.org/records/15719263; oai:zenodo.org:15719263; https://doi.org/10.5281/zenodo.15719263 |
| DOI: | 10.5281/zenodo.15719263 |
| Διαθεσιμότητα: | https://doi.org/10.5281/zenodo.15719263 https://zenodo.org/records/15719263 |
| Rights: | Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode ; © 2025 Tommaso Covone. This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License. |
| Αριθμός Καταχώρησης: | edsbas.965ED423 |
| Βάση Δεδομένων: | BASE |
| DOI: | 10.5281/zenodo.15719263 |
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