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<p>The integration of ternary nanofluids in cone–disk gap configurations is widely implemented to improve heat transfer phenomena in environments where compactness and thermal efficiency are vital, including electronics cooling, and machinery systems. The analysis highlights the impact of rotation scenarios on low oscillating magnetic field in cone–disk systems. In present setup, consist of a fixed cone paired with a rotating disk, counter-rotating, or both rotating in the same direction, utilizing a ternary nanofluid composed of zinc oxide, nickel–zinc ferrous oxide, and magnesium–zinc ferrous oxide in engine oil. The governing partial differential equations are converted into dimensionless ordinary differential equations using similarity variables, and the Runge-Kutta-Fehlberg-4th-5th method is employed for numerical solutions. Taguchi based optimization and sensitivity analysis are applied to quantify governing factors affecting the thermal transfer. The results indicate that the temporal-dependent heat source factor plays a dominant role in heat transfer, accounting for a 70.90% contribution. Maximum heat transfer rate is observed at 13th computation i.e. 11.4527. These insights advance the development of efficient cooling solutions across diverse industrial and thermal sectors.</p>

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Impact of low oscillating magnetic field on heat transfer in ternary nanofluids confined within a conical gap: a Taguchi-based sensitivity approach

  • 期刊论文

  • 发表日期：

    2026年2月11日

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  • V Vinay Kumar,
  • Ram Prakash Sharma

摘要

The integration of ternary nanofluids in cone–disk gap configurations is widely implemented to improve heat transfer phenomena in environments where compactness and thermal efficiency are vital, including electronics cooling, and machinery systems. The analysis highlights the impact of rotation scenarios on low oscillating magnetic field in cone–disk systems. In present setup, consist of a fixed cone paired with a rotating disk, counter-rotating, or both rotating in the same direction, utilizing a ternary nanofluid composed of zinc oxide, nickel–zinc ferrous oxide, and magnesium–zinc ferrous oxide in engine oil. The governing partial differential equations are converted into dimensionless ordinary differential equations using similarity variables, and the Runge-Kutta-Fehlberg-4th-5th method is employed for numerical solutions. Taguchi based optimization and sensitivity analysis are applied to quantify governing factors affecting the thermal transfer. The results indicate that the temporal-dependent heat source factor plays a dominant role in heat transfer, accounting for a 70.90% contribution. Maximum heat transfer rate is observed at 13th computation i.e. 11.4527. These insights advance the development of efficient cooling solutions across diverse industrial and thermal sectors.