Asphalt is a self-healing material at a specific temperature. The induced heating-healing of asphalt has been developed in the last few decades; an inductive asphalt can be created by adding inductive material. This paper aims to predict the performance of induction heating as a self-healing method on asphalt. This numerical simulation is carried out to obtain a suitable induction heater configuration. Numerical simulation is carried out in two stages, electrical analysis with ANSYS Electronics Desktop software and thermal analysis with ANSYS Transient Thermal Analysis. A cylindrical inductive asphalt sample is modeled and subjected to an electromagnetic field by a coil flowed by a high-frequency AC. As a result, a comparative temperature distribution is obtained by several current and frequency variations. The difference in current magnitude and frequency that flowed in the coil affects asphalt's heating performance and healing capacity. An increase in the frequency configuration results in a more significant increase in temperature than increasing the current magnitude in the coil.
This paper proposes a bifilar coil numerical analysis for asphalt induction heating. The software utilized in this research was ANSYS Electronics Desktop and ANSYS Transient Analysis. The asphalt has been modified by adding a certain amount of iron flakes. The asphalt containing magnetic substances is modeled and subjected to an electromagnetic field, thus a comparative temperature distribution between bifilar and monofilar coils is achieved. The bifilar coil has a slight increase in output than the monofilar coil under conditions of equal current and frequency. However, bifilar coil provides less power consumption and self-capacitance compared to the counterpart.
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