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2026
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| Online Access: | https://doi.org/10.5281/zenodo.18540938 |
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| author | geruganti, sudhakar |
| author_facet | geruganti, sudhakar |
| contents | <div> <div> <h3><strong>Detailed Description</strong></h3> <p>This research, conducted by <strong>Geruganti Sudhakar</strong> of the Department of Metallurgical and Material Engineering at RGUKT (IIIT Basar), introduces a transformative, holistic framework for evaluating and grading high-temperature composite superconductors. Moving beyond the traditional single-parameter focus on Critical Temperature (Tc), the paper establishes a rigorous, multi-dimensional benchmarking system essential for real-world industrial applications such as fusion reactors, MRI systems, and high-field magnets.</p> <p>The core innovation lies in the synergistic integration of two distinct analytical paradigms:</p> <ol> <li> <p><strong>The Electromagnetic "Critical Surface":</strong> Defined by the fundamental limits of Critical Temperature (Tc), Critical Magnetic Field (Hc2), and Critical Current Density (Jc). The paper employs universal hybrid models to predict these parameters, setting a "Greater Than or Equal To" (≥) benchmark for superconducting performance.</p> </li> <li> <p><strong>Mechanical Integrity Assessment:</strong> Recognizing superconducting wires as composite structures, the work applies the <strong>Tsai-Hill anisotropic failure criterion</strong> to evaluate their resilience against immense Lorentz forces. This imposes a "Less Than or Equal To" (≤) condition on a failure index, ensuring structural safety and preventing quench events.</p> </li> </ol> <p>The proposed grading system quantitatively links these domains. It defines grades (e.g., Grade A, Industrial Grade) based on simultaneous thresholds for electromagnetic performance (e.g., n-value ≥ 30) and mechanical safety (Mechanical Safety Factor ≥ 1.5, Tsai-Hill Index ≤ 1.0). The framework explicitly accounts for <strong>magnetic crystalline anisotropy</strong>, demonstrating its predictive correlation with superconducting transition sharpness (n-value) and overall reliability.</p> <p>Through comparative analysis of material classes (Nb3Sn, YBCO, Fe-based), the paper reveals critical trade-offs. For instance, while YBCO excels electromagnetically, its mechanical risk (Tsai-Hill Index > 1.0) may disqualify it from certain high-stress applications without design mitigation. The conclusion is definitive: for a superconductor to qualify for the "Global Arena," it must achieve concurrent stability across thermal, magnetic, electrical, and mechanical axes. This work provides a powerful, predictive roadmap for the development and selection of next-generation superconducting composites that are not only high-performing but also inherently robust and reliable.</p> </div> </div> <div> </div> <div> <div> <div> <div> </div> <div> </div> <div> </div> </div> <div> <div> </div> <div> </div> <div> </div> </div> <div> <div> </div> <div> </div> <div> </div> </div> <div> <div> </div> <div> </div> <div> </div> </div> <div> <div> </div> <div> </div> </div> </div> </div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18540938 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
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| spellingShingle | Critical Performance Grading of Composite Superconductors Using Anisotropic Failure Models and Universal Hybrid Prediction geruganti, sudhakar <div> <div> <h3><strong>Detailed Description</strong></h3> <p>This research, conducted by <strong>Geruganti Sudhakar</strong> of the Department of Metallurgical and Material Engineering at RGUKT (IIIT Basar), introduces a transformative, holistic framework for evaluating and grading high-temperature composite superconductors. Moving beyond the traditional single-parameter focus on Critical Temperature (Tc), the paper establishes a rigorous, multi-dimensional benchmarking system essential for real-world industrial applications such as fusion reactors, MRI systems, and high-field magnets.</p> <p>The core innovation lies in the synergistic integration of two distinct analytical paradigms:</p> <ol> <li> <p><strong>The Electromagnetic "Critical Surface":</strong> Defined by the fundamental limits of Critical Temperature (Tc), Critical Magnetic Field (Hc2), and Critical Current Density (Jc). The paper employs universal hybrid models to predict these parameters, setting a "Greater Than or Equal To" (≥) benchmark for superconducting performance.</p> </li> <li> <p><strong>Mechanical Integrity Assessment:</strong> Recognizing superconducting wires as composite structures, the work applies the <strong>Tsai-Hill anisotropic failure criterion</strong> to evaluate their resilience against immense Lorentz forces. This imposes a "Less Than or Equal To" (≤) condition on a failure index, ensuring structural safety and preventing quench events.</p> </li> </ol> <p>The proposed grading system quantitatively links these domains. It defines grades (e.g., Grade A, Industrial Grade) based on simultaneous thresholds for electromagnetic performance (e.g., n-value ≥ 30) and mechanical safety (Mechanical Safety Factor ≥ 1.5, Tsai-Hill Index ≤ 1.0). The framework explicitly accounts for <strong>magnetic crystalline anisotropy</strong>, demonstrating its predictive correlation with superconducting transition sharpness (n-value) and overall reliability.</p> <p>Through comparative analysis of material classes (Nb3Sn, YBCO, Fe-based), the paper reveals critical trade-offs. For instance, while YBCO excels electromagnetically, its mechanical risk (Tsai-Hill Index > 1.0) may disqualify it from certain high-stress applications without design mitigation. The conclusion is definitive: for a superconductor to qualify for the "Global Arena," it must achieve concurrent stability across thermal, magnetic, electrical, and mechanical axes. This work provides a powerful, predictive roadmap for the development and selection of next-generation superconducting composites that are not only high-performing but also inherently robust and reliable.</p> </div> </div> <div> </div> <div> <div> <div> <div> </div> <div> </div> <div> </div> </div> <div> <div> </div> <div> </div> <div> </div> </div> <div> <div> </div> <div> </div> <div> </div> </div> <div> <div> </div> <div> </div> <div> </div> </div> <div> <div> </div> <div> </div> </div> </div> </div> |
| title | Critical Performance Grading of Composite Superconductors Using Anisotropic Failure Models and Universal Hybrid Prediction |
| url | https://doi.org/10.5281/zenodo.18540938 |