• 기계와재료
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• v.21 no.2
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• pp.122-135
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• 2009

타이타늄은 경량성, 고강도성, 내화학성, 인체친화성, 내환경성 등의 물성을 이용하여 다양한 산업분야에 활용되고 있다. 다양한 산업분야에 정형부품으로 타이타늄을 가공하는 기술 중에서 가장 경제성이 높은 분야로 주조공정을 들 수 있다. 주조공정으로 부품을 제조하면 복잡한 형상을 기계가공하지 않고 거의 정형으로 제조할 수 있으며, 기계적 물성 또한 단조품에 버금가는 제품을 생산할 수 있다. 또한 다량의 제품을 생산할 수 있기 때문에 경제성에서도 유리하다. 이와 같은 주조품을 제조하는데는 진공에서 불순물의 유입을 최소화 할 수 있는 특수용해공정과 주형과의 반응을 최소화 할 수 있는 주형재료와 주조방안이 필수적이다. 본 고에서는 반응성이 높은 타이타늄을 용해하는 기술과 주형과의 반응이 최소활 될 수 있는 주형재료의 선정, 그리고 실 제품에 활용하기 위한 다양한 후처리 기술에 대하여 요약하였다.

• Journal of the Korean Society of Propulsion Engineers
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• v.4 no.1
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• pp.1-12
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• 2000

This study summarizes the numerical analyses of a Ti alloy deformation under a back extrusion process. Amongst metallic parts in a small propulsion motor case, a Ti-6Al-4V alloy is used extensively. However, the Ti alloy shows a great deal of shear band formation which often leads to a fracture due to a narrow working temperature window. Moreover, the shear band tends to develop over an area where a contact occurs between the hot work piece and the die wall, due to localized cooling. Thus, heating the dies is often required to overcome the deformation localization. Therefore, it becomes necessary to investigate the internal temperature and strain rate distribution during forging process of a Ti alloy. Furthermore, a shear band analysis is peformed using a finite difference scheme and a comparison is made between steel and Ti alloy.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.04b
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• pp.178-182
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• 1995

The technique of neural networks is applied to cold forging design system. A user can select more desirable plans in cold forging design by being advised with expert's opinion from neural networks. The neural networks are learned with 3 parts which are most important in cold forging design-undercut, narrow hole, sharp corner. Using the neural networks, the cold forging design system built in this study determines forming possibility about variable shapes in product. We can get available result using the system.

• Journal of Welding and Joining
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• v.7 no.2
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• pp.1-11
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• 1989

주철은 구조물 및 공업재료로써 오랫동안 사용되어 왔으나 이들 용접은 항상 어렵고 특별한 지 식과 기술을 계속 요구하고 있다. 최근 가격면에서 유리한 주철을 주강 및 단조품과 대체하여 사용이 증가하는 추세이다. 이는 주조공정의 고유한 유연성과 함께 합금설계, 주조기술 및 열처 리 분야에서 개선이 이루어지면서 가능해졌다. 이런 개발과 병행하여 주철을 용접할 필요성이 증가되었다. 옛날에는 용접의 어려움 때문에 주철용접은 제조중 생긴 주물결함 보수나 사용도중 생긴 균열에 대한 보수용접으로 국한되었다. 그러나 수년동안의 용접기술 개발과 금속학적인 영향에 대한 지식이 증대됨에 따라 주철끼리 또는 강과의 접합까지 용접의 범위가 넓어졌다. 본고에서는 주철용접을 이해하는데 필수적인 금속학적인 영향들에 대해 주철 종류별로 설명하고 이들을 용접하는데 있어 성공과 실패에 대한 이유등을 실례를 들어 기술하고자 한다.

• Transactions of the Korean Society of Mechanical Engineers
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• v.16 no.11
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• pp.2082-2089
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• 1992

An experimental study on forging an axi-symmetric dome type of AISI4130 was carried out using modeling material. In order to verify the validity of the experimental data, a similarity study between plasticine and AISI4130 has been made. Friction conditions were characterized by ring test for the various lubricants. For the closed-die forging experiments of an axi-symmetric dome type of AISI4130 using the plasticine, various cylindrical billets with different aspect ratios were forged and different flash width to thickness(W/T) ratios were used in order to determine the optimum forging conditions. As W/T ratios decrease forging loads decrease while excess volumes increase. It was found out that the experimental results reproduce the similiar results available in the literature. As a result of these experiments, it was construed physical modeling is an excellent tool for forging process simulation at a practical level.

• Proceedings of the KSME Conference
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• 2001.06c
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• pp.586-591
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• 2001

In the cold forging, elastic deformation of the die has been investigated to improve the accuracy of cold forged parts with F.E.M analysis using DEFORM, and with experiments using strain gauges. In the experiments, initial billet was selected to easily find the effect of elastic deformation according to the forging modes, extrusion and upsetting type, and only extrusion type. Elastic deformation of the die can be obtained by the signal from the strain gauges and this signal can be amplified by data acquisition system during the process. In the F.E.M analysis, two types of analysis are used to predict elastic strain of the die. To improve an accuracy of forged product and die dimension, this study compared with strain distribution between experiment and F.E.M analysis. As a result, the history of the deformation of the die and elastic recovery of forged product can be obtained by the elastic strain analysis of forged product and die according to the forging modes.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2003.05a
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• pp.44-48
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• 2003

In metal working, cold forging that has profit to satisfy dimension accuracy is using in various manufacturing products. Recently, most of the interest thing is precision forging of gear, Gear forging product is more strength than broaching gear, and it has many advantages with reduction of factory expenses. The reason of difficulty to improve accuracy of gear dimension compare to another products is the dimension accuracy is very high, approximately 10$\mu\textrm{m}$, and because die of involute teeth and elastic strain of forged tool differ from standard curve. This paper represent quantitative analysis of die and teeth of forged tool, namely difference of curves, with experiments and analyze the factor of dimension gap, finally, will design compensated involute curve.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2003.05a
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• pp.216-220
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• 2003

Most important for meaningful forging simulation is the determination of correct process parameters. In addition a check and a compensation of the data base after the comparison between experiments and the computation of the developed process is necessary. The existence of a systematic process parameter data bank for special kinds of forming process in combination with forging specific simulation lifts the value of the products. Finite volume method is applied to simulate the hot forging process to investigate the defects for the automobile product. Three typical forging processes have been investigated; Extrusion by hydrolic press, Upsetting by crank press and Inclined upsetting by hammer press. Simulated result has compared with the experiment and provided a direction to improve the process.

• Journal of the Korean Society for Precision Engineering
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• v.15 no.9
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• pp.15-24
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• 1998

In this research. we have proposed a new technique to determine .the combination of design parameters for the process design of a hot forged product using artificial neural network(ANN) and statistical design of experiments(DOE). The investigated problem involves the adequate selection of the aspect ratio of billet, the ram velocity and the friction factor as design parameters. An optimal billet satisfying the forming limitation, die filling, load and energy as well as more uniform distribution of effective strain, is determined by applying the ability of artificial neural network and considering the analysis of mean and variation on the functional requirement. This methodology will be helpful in designing and controlling parameters on the shop floor which would yield the best design solution.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2001.10a
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• pp.228-232
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• 2001

Fatigue strength, electrical conductivity and stress-corrosion-cracking resistance are considered as important factors at aircraft Al alloys, therefore Al7050 alloy has been developed to improve such properties. However, hammer-forged Al7050 parts showed the undesirable structures such as severe local grain coarsening and inhomogeneous material flow, resulted in the degraded mechanical properties. In this paper, process conditions are investigated for elimination of the grain coarsening and improved material flow during forging process by both of experiments and FEM analysis. Particular interest has been given to understand role of preform shape on the grain coarsening behavior and magnitude of the hammer forging load The use of preform has been beneficial for reduction of the forging load and elimination of the grain coarsening. However, in the cases of as received bar and the round bar, which was machined to 2.5mm thickness in surface layer, some degree of local grain coarsening behavior has been observed. The optimized preform shape could be properly designed by applying the FEM simulation.