In this study, design for additive manufacturing (DfAM) of release agent injection manifold for hot forging has been performed to achieve weight reduction and flow path optimization. The weight reduction of 53.5% was achieved, thereby enabling the application of stainless steel 316L, which has high strength and corrosion resistance. Lightweight manifolds using Al-Mg-10Si and SUS316L materials were fabricated by PBF-type metal 3D printer. The feasibility test showed that mold life was improved by 14% by solving residual release agent problem. In addition, the flow path optimization results suggested that the flow standard deviation of each outlet dropped sharply from 264 to 75 ㎤/s. This approach demonstrated that DfAM for release agent manifold could be applied to increase mold life and improve product quality and productivity for hot forging.

Microchannel-based chemical reactor is widely used to develop chemical products. High-efficiency reactors are required to produce high-quality chemical products. The reaction efficiency is highly related to the mixing ratio. In this paper, an inner structure model in the reactor was designed to improve the mixing ratio. Computational fluid dynamic (CFD) analysis was carried out for two-phase flow in a continuous flow reactor using a commercial software. A case model of the different inner structures was designed to evaluate the mixing rate. Velocity profiles, mixing ratio, and pressure fields of each model were obtained by two-fluid flow analysis using CFD. Based on the analysis results, a reactor model with a high mixing ratio was selected. Powder bed fusion based metal additive manufacturing process was performed to manufacture the 3D microchannel-based chemical reactor. It is expected that the proposed reactor could be applied to a high-efficiency reactor system to produce various chemical materials. For instance, it was possible to perform a chemical reaction based on a toxic material, such as, dimethylformamide solution, using the proposed 3D metal microchannel-based reactor.

This research is to investigate the cooling performance of the motor in the electric vehicle depending on the cooling channel fin. The research focused on numerical study of the temperature of coil and cooling channel and the heat transfer coefficients to find a optimum design shape with high cooling performance at three different cases. To compare the convective cooling performance of the three cooling channels, local position (R) are displayed on the surface of the coils with a large temperature deviation. This research was performed on forced convection and was numerically analyzed by FLUENT V20.2. Owing to forced convection by the same mass flow, the average cooling channel velocity in Case 3 was 17.4% faster than Case 1 and 8.6% faster than Case 2. Out of the three cases, the highest heat transfer coefficient was found in the cooling channel and coil of Case 3, which had two cooling fins. The coil maximum temperature of Case 3 with 2 cooling fins was 4.7% lower than Case 1 without cooling fins and 1.7% lower than Case 2 with 1 cooling fin. Ultimately, Case 3 with two cooling fins provided the best cooling performance and improved driving motor performance for motor durability.