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<p>This study presents a comprehensive computational framework for optimizing energy absorption in nano-engineered zinc oxide varistors through systematic multi-component design. A nine-component varistor system comprising ZnO (96.5 mol%), Bi₂O₃ (1.2%), Sb₂O₃ (0.8%), NiO (0.4%), Ce₂O₃ (0.3%), ZrO₂ (0.25%), SnO₂ (0.2%), Co₃O₄ (0.2%), and SiO₂ (0.15%) was computationally modeled using COMSOL Multiphysics to investigate nanoscale energy dissipation mechanisms. The optimized composition demonstrates exceptional nonlinearity coefficient (α = 48) and energy absorption capacity (195 J cm⁻<sup>3</sup>), representing 40% enhancement over conventional microstructured designs. Finite element analysis reveals critical electric field concentrations at grain boundaries reaching 6.2 kV cm⁻<sup>1</sup> with current density variations of 18 × between conducting pathways and matrix regions. Multi-physics simulations incorporating coupled electromagnetic-thermal analysis demonstrate superior thermal stability with peak temperature gradients of 15°C mm⁻<sup>1</sup> and recovery time constants of 8.2 s. The computational framework provides unprecedented insights into nanoscale conduction mechanisms, enabling precise optimization of varistor compositions for enhanced surge protection applications.</p>

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Nanoscale engineering of multi-component ZnO varistors: advanced computational modeling and energy absorption optimization

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月20日

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  • Arash Vaghef-Koodehi

摘要

This study presents a comprehensive computational framework for optimizing energy absorption in nano-engineered zinc oxide varistors through systematic multi-component design. A nine-component varistor system comprising ZnO (96.5 mol%), Bi₂O₃ (1.2%), Sb₂O₃ (0.8%), NiO (0.4%), Ce₂O₃ (0.3%), ZrO₂ (0.25%), SnO₂ (0.2%), Co₃O₄ (0.2%), and SiO₂ (0.15%) was computationally modeled using COMSOL Multiphysics to investigate nanoscale energy dissipation mechanisms. The optimized composition demonstrates exceptional nonlinearity coefficient (α = 48) and energy absorption capacity (195 J cm⁻3), representing 40% enhancement over conventional microstructured designs. Finite element analysis reveals critical electric field concentrations at grain boundaries reaching 6.2 kV cm⁻1 with current density variations of 18 × between conducting pathways and matrix regions. Multi-physics simulations incorporating coupled electromagnetic-thermal analysis demonstrate superior thermal stability with peak temperature gradients of 15°C mm⁻1 and recovery time constants of 8.2 s. The computational framework provides unprecedented insights into nanoscale conduction mechanisms, enabling precise optimization of varistor compositions for enhanced surge protection applications.