The application of combined electric and magnetic fields is proposed for better heat transfer enhancement in a porous fin system. An inverse estimation technique is established to simultaneously determine the interior thermal energy production and strengths of electrical and magnetic fields, by solely using the surface temperature field. At first, verified direct solutions based on the fourth-order Runge–Kutta method are obtained for the computation of the temperature field, and then three unidentified parameters are estimated using the inverse procedure supported by the Artificial Bee Colony (ABC) algorithm. The corresponding analytical solution is evaluated using the differential transformation method. The existing investigation demonstrates that even though various parametric groups sustain a particular thermal field, amongst them, the nearly unique value of the thermomagnetic field governs the heat transport phenomena. Additionally, the joint interaction between the electric field and thermal-energy-generation parameter is accountable for the observed temperature field. In spite of the effect of random noise levels within +/− 11%, the ABC-based inverse solution technique is found to establish the thermal criteria and to excellently reconstruct the given thermal field within a less than 1% error margin with respect to the ideal situation. For any case, 50 iterations of ABC are observed to be satisfactory. For fulfilling the desired rate of thermal energy transfer from porous fins, the present prediction scheme is suggested to be beneficial in properly adjusting the electrical and magnetic fields along with the unknown state of thermal energy production.

为了更好地增强多孔翅片系统中的热传递，提出了组合的电场和磁场的应用。建立了一种逆估计技术，可以仅通过使用表面温度场来同时确定内部热能的产生以及电场和磁场的强度。首先，获得了基于四阶Runge–Kutta方法的经验证的直接解，用于温度场的计算，然后使用人工蜂群（ABC）算法支持的逆过程来估计三个不确定的参数。使用微分变换方法评估相应的分析解决方案。现有的研究表明，即使各种参数组在其中保持着特定的热场，热磁场的几乎唯一值控制着热传递现象。另外，电场和热能产生参数之间的共同相互作用是所观察到的温度场的原因。尽管受到+/- 11％之内的随机噪声水平的影响，但仍发现基于ABC的逆解技术可以建立热判据，并且可以在小于1％的误差范围内出色地重建给定的热场。理想情况。在任何情况下，都可以观察到50次ABC迭代是令人满意的。为了实现从多孔散热片传递所需的热能速率，建议采用本预测方案，以适当地调节电场和磁场以及未知的热能产生状态。