Male, born in 1968, Ph.D., Associate Professor. His research interests mainly focus on high integrity and near net shape casting technology for lightweight metal alloys, aluminum and magnesium alloys squeeze casting process and its macro and microscopic modeling, multi-scale and multi-discipline modeling and computation of solidification and casting processes. L ightweight components have vital importance due to weight reduction in vehicles because of high strength-to-weight ratio. The utilization of these, whose materials are mainly aluminum and magnesium alloys, in the automotive industry has therefore significantly increased in the past few years [1] . However, the mechanical properties of these components are often deteriorated by defects such as shrinkage and gas pores due to inappropriate casting technologies [2][3][4] .Thus, it is very important to find an appropriate casting technology. Squeeze casting (SC) is a promising near net-shape processing technique, where the molten metal solidifies under a relatively high external pressure, and the fabricated components are normally free of shrinkage and gas pores [5] . In the squeeze casting process, process parameters Abstract: As an advanced near-net shape technology, squeeze casting is an excellent method for producing high integrity castings. Numerical simulation is a very effective method to optimize squeeze casting process, and the interfacial heat transfer coefficient (IHTC) is an important boundary condition in numerical simulation. Therefore, the study of the IHTC is of great significance. In the present study, experiments were conducted and a "plate shape" aluminum alloy casting was cast in H13 steel die. In order to obtain accurate temperature readings inside the die, a special temperature sensor units (TSU) was designed. Six 1 mm wide and 1 mm deep grooves were machined in the sensor unit for the placement of the thermocouples whose tips were welded to the end wall. Each groove was machined to terminate at a particular distance (1, 3, and 6 mm) from the front end of the sensor unit. Based on the temperature measurements inside the die, the interfacial heat transfer coefficient (IHTC) at the metal-die interface was determined by applying an inverse approach. The acquired data were processed by a low pass filtering method based on Fast Fourier Transform (FFT). The feature of the IHTC at the metal-die interface was discussed.