<p>This study involves a blend of liquid silicone rubber (LSR) with mullite (3Al<sub>2</sub>O<sub>3</sub>.2SiO<sub>2</sub>) by adjusting the weight quantities (5%, 10%, and 15%) of mullite nano filler. The structural, mechanical, thermal, and electrical properties of various mixed samples were analysed and compared to those of pure LSR. According to earlier research, adding mullite nanofiller to liquid silicone rubber enhances its mechanical strength and hardness, and electrical properties like dielectric breakdown strength, arc resistance, dielectric constant, and DC volume resistivity also enhanced the thermal stability, which was evaluated through Thermo Gravimetric Analysis (TGA). Transmission and distribution lines are key domains where these characteristics are highly valued in the world of insulating materials used for outdoor-based insulation applications. This paper also discusses the optimization of mechanical and electrical characteristics of various LSR composites using a multi-objective optimization strategy based on gray relational analysis to acquire overall optimal values.</p>

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Evaluation of microstructural, mechanical, and electrical behaviors of liquid silicone rubber reinforced with mullite nanofiller for composite insulators with multi-response optimization

  • Shirisha Adupa,
  • Sammaiah Pulla,
  • Chennakesava Reddy Alavala

摘要

This study involves a blend of liquid silicone rubber (LSR) with mullite (3Al2O3.2SiO2) by adjusting the weight quantities (5%, 10%, and 15%) of mullite nano filler. The structural, mechanical, thermal, and electrical properties of various mixed samples were analysed and compared to those of pure LSR. According to earlier research, adding mullite nanofiller to liquid silicone rubber enhances its mechanical strength and hardness, and electrical properties like dielectric breakdown strength, arc resistance, dielectric constant, and DC volume resistivity also enhanced the thermal stability, which was evaluated through Thermo Gravimetric Analysis (TGA). Transmission and distribution lines are key domains where these characteristics are highly valued in the world of insulating materials used for outdoor-based insulation applications. This paper also discusses the optimization of mechanical and electrical characteristics of various LSR composites using a multi-objective optimization strategy based on gray relational analysis to acquire overall optimal values.