Among the Additive Manufacturing (AM) technologies, the Binder-Jetting printing technology is a method of spraying an adhesive on the surface of powder and laminate layer by layer. Recently, this technique has become a major issue in the production of large casting products such as ship-building, custom vehicles and so on. In this study, we performed research to make actual mold castings and increase mechanical property by using special sand and water-based binders. For use as a mold, it has a strength of more than 3MPa and permeability. Various experiments were carried out to obtain suitable them. The major process parameters were binder jetting volume, binder types, layer thickness and heat treatment condition. As a result of this study, the binder drop quantity was measured to be about 60 pico-liter, layer thickness was 100μm and the heat treatment condition was measured about 1,000℃ and compressive strength were measured to be more than 5MPa. The optimum condition of this experiment was established through actual casting of aluminum. The equipment used in this study was a Freeforms T400 model (SFS Co., Ltd.), and the printing area of 420 * 300 * 250mm and resolution of 600dpi can be realized.

In the case of a die-casting process, defects that are difficult to confirm by visual inspection, such as shrinkage bubbles, may occur due to an error in maintaining a vacuum state. Since these casting defects are discovered during post-processing operations such as heat treatment or finishing work, they cannot be taken in advance at the casting time, which can cause a large number of defects. In this study, we propose an approach that can predict the occurrence of casting defects by defect type using machine learning technology based on casting parameter data collected from equipment in the die casting process in real time. Die-casting parameter data can basically be collected through the casting equipment controller. In order to perform classification analysis for predicting defects by defect type, labeling of casting parameters must be performed. In this study, first, the defective data set is separated by performing the primary clustering based on the total defect rate obtained during the post-processing. Second, the secondary cluster analysis is performed using the defect rate by type for the separated defect data set, and the labeling task is performed by defect type using the cluster analysis result. Finally, a classification learning model is created by collecting the entire labeled data set, and a real-time monitoring system for defect prediction using LabView and Python was implemented. When a defect is predicted, notification is performed so that the operator can cope with it, such as displaying on the monitoring screen and alarm notification.

B4C/Al composite is mainly used for neutron absorbing materials, which is one of the components of equipment that manages spent nuclear fuel. There are various processes for manufacturing neutron absorbing materials, but most of them are based on the powder metallurgy. In this study, B4C/Al composite in which the reinforcement was uniformly dispersed was manufactured by using the stir casting process. The microstructure, thermal neutron absorption rate, mechanical properties and dispersibility of the reinforcement of the prepared B4C/Al composite were analyzed.

In this study, for thermal neutron absorption, an aluminum metal composite in which B4C particles were uniformly dispersed was prepared using stirring casting and hot rolling processes. The microstructure, thermal neutron absorption rate, mechanical properties and dispersibility of the reinforcement of the prepared B4C/Al composite were analyzed. The composite in which the 40 μm sized B4C particles were uniformly dispersed increased the tensile strength as the volume ratio of the reinforcement increased.

Aluminum High Vacuum Die-casting process has become more prevalent in automotive manufacturing industry which require high productive rate, weldable process and heat treatment process. However, high pressure die castings usually contain gas porosity due mainly to the entrapment of air or gas in the die during the high speed injection of the molten metal into the die cavity. Vacuum block system with disk spring was developed and vacuum chanel was optimized with numerical flow analysis. The porosity of die castings was analyzed by X-ray CT, and the effect of porosity on the mechanical properties was analyzed by hardness and tensile test. Tensile strength was improved 49.5% for 50mbar high vacuum die-casting process compare then 300mbar. And then, Surface property was analyzed with plunger velocity and fast shot set point.

The investigation on the lightweight of automobiles has been underway in commercial vehicles as well as passenger cars due to global warming and strengthening of European emission standards. In this study, the V-arm were developed for lightweight parts using aluminum alloy instead of steel with high pressure die casting processing. This study has focused on lightweight adaptive concept design. Several models of V-arm were designed and analyzed for the fluidity and solidification. V-arm was produced with ADC12 by high pressure die-casting process. The mechanical properties of developed V-arm were measured; such as tensile strength, elongation, shear strength, and durability. The possibility of mass production with the light weight aluminum V-arm substitute from the steel. The weight was reduced about 38% from 16kg to 9.98kg. The productivity was improved with decreasing the process from 8 to 5 by All-in-0ne process using high pressure die-casting.

본 연구에서는 입자크기가 다른 3가지 α-알루미나 분체로부터 주입성형법과 소결법을 혼용하여 튜브형 α-알루 미나 지지체를 제조하여 초기 α-알루미나 분체의 입자크기와 소결 온도가 지지체의 기공구조와 기체투과 특성에 미치는 영 향을 고찰하였다. 평균입경이 0.2, 0.5, 1.7 μm인 α-알루미나 분체를 사용했을 시 제조된 α-알루미나 지지체는 각각 약 80, 130, 200 nm의 평균 기공경을 가졌으며 평균 기공경은 소결 온도 보다는 초기 알루미나 분체의 입자크기에 의존하였다. 모 든 시편에서 소결 온도가 증가할수록 지지체의 부피 밀도는 증가하였고 겉보기 기공률은 감소하였다. He, N2, O2, CO2에 대 하여 30°C에서 단일기체 투과 특성을 평가한 결과, 기체 투과도는 기공경 제곱에 비례하여 증가하였고 기공률이 증가함에 따 라서 직선적으로 증가하였다. 이를 토대로 제조된 α-알루미나 지지체의 기체 투과는 점성유동(viscous flow)에 의하여 이루 어지며, α-알루미나 지지체의 기체 투과 특성은 초기 α-알루미나 분체의 입자크기와 소결온도를 제어함으로써 조절될 수 있 음을 확인할 수 있었다.

본 연구에서는 입자크기가 다른 3가지 α-알루미나 분말로 부터 주입성형법과 소결법을 혼용하여 튜브형 α-알루미나 지지체 제작하였고 이때에 초기 α-알루 미나 분말의 입자크기와 소결 온도가 지지체의 기공구조와 기공구조가 투과 특 성에 미치는 영향을 고찰하였다. 제작 된 지지체는 수은함침법과 Archimedes 법을 통하여 기공경과 기공률을 측정하였다. 또한 30°C에서 He, N2, O2, CO2 기체에 대하여 투과 특성을 고찰하여, 각 지지체의 토튜오서티를 계산 하였으며, 지지체의 기공경 및 기공률이 지지체의 기체 투과 특성에 미치는 영향을 고찰 하였다.

The effect of the alloy systems Al-Mg alloy and Al-Si alloy in this study on the characteristics of die-casting were investigated using solidification simulation software (MAGMAsoft). Generally, it is well known that the casting characteristics of Al-Mg based alloys, such as the fluidity, feedability and die soldering behaviors, are inferior to those of Al-Si based alloys. However, the simulation results of this study showed that the filling pattern behaviors of both the Al-Mg and Al-Si alloys were found to be very similar, whereas the Al-Mg alloy had higher residual stress and greater distortion as generated due to solidification with a larger amount of volumetric shrinkage compared to the Al-Si alloy. The Al-Mg alloy exhibited very high relative numbers of stress-concentrated regions, especially near the rib areas. Owing to the residual stress and distortion, defects were evident in the Al-Mg alloy in the areas predicted by the simulation. However, there were no visible defects observed in the Al-Si alloy. This suggests that an adequate die temperature and casting process optimization are necessary to control and minimize defects when die casting the Al-Mg alloy. A Tatur test was conducted to observe the shrinkage characteristics of the aluminum alloys. The result showed that hot tearing or hot cracking occurred during the solidification of the Al-Mg alloy due to the large amount of shrinkage.

수용성 매체에서 젤-케스팅 공정을 이용하여 용융실리카를 기본으로 하는 다성분계 세라믹 코어 (中子)를 제조하고, 소결조건에 따른 제반 기계적 물성과 알칼리 부식용액에 의한 용출특성을 고찰하였다. 1000cP (at 50sec-1 ) 이하의 낮은 점도를 갖는 50vol%의 고농도 다성분계 세라믹 슬림의 제조가 가능하였다. 성형체는 안정화시킨 슬림을 몰드에 부어 상온에서 겔화시킨 후 25˚C, 80% 상대습도 분위기 하에서 48시간동안 건조시켜 제조하였으며 건조된 성형체에는 균열이 발생하지 않았다. 세라믹 코어 성형체의 소결온도가 상승할 수록 상온강도, 겉보기 밀도, 수축률은 시편의 기공도와 역비례하여 증가하였다. 세라믹 코어 소결체의 용출속도는 동일한 온도에서 알칼리 부식용액의 농도에 의존하였으며, 소결체의 기공도가 클수록 증가하였다.

수용액 매체에서 젤케스팅을 이용하여 복잡한 형상의 세라믹스를 제조하기 위한 새로운 공정을 연구하였다 용융실리카 분말과 첨가제로서 지르콘과 코디어라이트 조성으로 혼합된 현탁액을 electrosteric 방법으로 안정화시켰다. 슬립은 다성분계 세라믹 현탁액에 단량체, 이량체 그러고 분산제를 혼합하고, 볼밀하여 준비하였다. 슬립의 유동학적 특성을 평가하기 위해 점도를 측정하였으며 , 낮은 점도를 갖는 50vo1%의 고농도 다성분계 세라믹 슬립의 제조가 가능하였다. 슬립의 점도는 고분자 분산제의 함량과 단량체 및 이량체의 혼합비에 크게 의존하였다. 성형체는 안정화시킨 슬립을 몰드에 부어 상온에서 젤화시킨 후 25˚C, 80~85% 상대습도 분위기 하에서 48시간동안 건조시켜 제조하였으며 건조된 성형체에는 균열이 발생하지 않았다

본 연구에서는 반응고 Al합금을 얻기 위해서 3상 2극의 전자교반장치를 이용하였으며, 주입온도와 주입전압을 변화시켜 Al합금의 초정입자크기, aspect ratio, 표준편차, 경도 및 공정 Si 입자의 크기 및 형상 변화를 조사하였다. 같은 주입온도에서는 주입전압이 증가함에 따라 aspect ratio, 표준편차 및 초정입자의 크기는 감소되었다. 전자교반식 수평연속주조방법에 의한 Al 합금의 최적제조 조건은 주입전압 220V, 주입온도 680˚C이었으며, 이 조건에서 초정입자의 크기는 54μm이었고, aspect ratio는 1.56이었으며 그 표준편차는 0.4이었다. 그리고 공정 Si의 크기는 0.5μm이었으며 제조된 Al합금의 경도는 72.1 Hv를 나타내었다. 본 연구를 위해 제작된 3상 2극 전자교반장치에 의해서 매우 낮은 aspect ratio 및 표준편자를 갖는 반응고 A356 Al합금을 제조할 수 있었다.