• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 1998.03a
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• pp.117-125
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• 1998

A hot forging product in general is produced through buster, blocker and finisher processes. Usually the processes including dies are designed by experienced forging engineers. However, due to the lack of such engineers, it is necessary to develop expert systems with which engineers of little experience can perform the design task. In the present study, an expert system is developed for axisyrnmetric hot steel forgings. It is a rule based system written in Fortran and AutoLISP, operating on a personal computer. In this paper, structures of the system are summarized and capabilities of the system are examined through several examples.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 1995.06a
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• pp.180-187
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• 1995

Helical gears are machined from blanks, which are usually prepared by forging cylindrical billets at high temperatures through buster, blocker and finisher processes. As dimensions of the blank are closer to those of the machined part, machining cost can be more reduced. Therefore, there are a lot of efforts being made to optimize the forging processes in order to produce near-net shaped blanks. In the present investigation, a rigid viscoplastic finite element technique was used to analyze a helical gear blank hot forging processes and deformation, strain and temperature distributions, forging load variations during forging were obtained. In the paper, it is discussed how these results can be utilized to optimize die design, billet dimensions and press usage.

• Proceedings of the Korea Society of Poultry Science Conference
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• 2001.11a
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• pp.97-98
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• 2001

In Experiment 1, two hundred ten hatched broiler chickens(Ross) were assigned to seven dietary treatments for 5weeks. Each treatment was consisted of 3 replications with 10 birds per replication. Control diet was formulated 22%CP and 3,150kcaIME/kg for starter diet, 19%CP, 3,200kca1ME/kg for finisher diet. Euglena gracilis was added to control diet at the level of 0.25, 0.5, 1.0% and Euglena bleached(DHA enriched) at the level of 0.5, 1.0, 2.0% in the diet. 0 Experiment 2, two hundred fifty hatched broiler chickens(Ross) were assigned to five dietary treatments: T1; control, T2: T1 + Euglena gracilis(DHA enriched)0.5%, T3; T1 + Euglena gracilis(DHA enriched)1.0%, T4: T1 + Euglena bleached(DHA enriched)0.5%,T5: T1 $.$Euglena bleached(DHA enriched)1.0%. In Experiment 1, 2.0% Euglena bleached treatment showed highest DHA level in breast muscle(P<0.05), In Experiment 2, 1.0% Euglena bleached treatment showed highest EPA, Lignoceric acid and DHA level in breast muscle(P<0.05).

• Korean Journal of Poultry Science
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• v.25 no.2
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• pp.65-70
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• 1998

A 16-wk feeding trial was conducted to investigate the proper feeding regimen on the performance of Korean Native Chicken(KNC) consuming broiler diets. Commercial KNC are normally fed 3 kinds of diets during their life span, i. e., starter(S, 0 to 3wk of age), grower(G, 4 to 7wk of age), and finisher(F, 8 to l6wk of age) diets. In this trial, four feeding regimen were employed:T1(S-G-F), T2(S-G-G), T3(S-S-F), and T4(S-F-F). Day-old 360 KNC were randomly allotted to 12 pens: three pens per treatment, and 30 birds per pen. At the end of the trial, the BW of T2 was significantly better than that of T3(P<0.05), and T1 and T4 were intermediate. No significant difference were found in feed intake, feed conversion ratio, and viability among treatments. It appears that, in terms of BW gain, the T2 is the recommendable feeding regimen for KNC consuming broiler diets.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 1998.06b
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• pp.54-59
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• 1998

In this study, two kinds of life prediction method for hot forming die are developed . One is empirical method requiring some experiment that evaluate thermal softening of die material accoring to operating conditions. The other is analyticl method that calcuate wear quantity of die occuring during the forming process. Wear is a predominant factor as well as plastic deformation and heat checking . And, these methods are applied to prodict tool life real die producting part for automobile. Thus , the applicability and the accuracy of the presented methods are investigated. Using the verified life prediction method above , optimal blocker die design minimizing the finisher die is done.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 1997.10a
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• pp.164-167
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• 1997

The die wear is one of the main factors affecting die accuracy and tool lifetime. It is desired to reduce die wear by developing simulation method to predict wear based on process parameters, and then optimize the process. Therefore, this paper describes disign methodology of preform for minimizing wear of finisher die in multi-stage cold forging processes. The finite element method is combined with the routine of wear prediction and the cold forging processes. The finite element method is combined with the routine of wear prediction and the cold forging process is analyzed. In order to obtain preform to minimize die wear, the FPS algorithm is applied and the optimal preform shape is found from iterative deformation analysis and wear calculation.

• Transactions of the Korean Society of Mechanical Engineers
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• v.17 no.12
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• pp.2970-2981
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• 1993

In hot closed-die forging the load increases rapidly near the final stage. Preforming operation is important to both the sound final forging and die-service life. In this study, the material flows during preforming and final forging are investigated. The physical modeling with Plasticine as a model material showed clear flow patterns. The forging process were numerically simulated by the finite element method with the isothermal and the non-isothermal models. The flow patten of the isothermal simulation showed good agreements with the experiments. Temperature changes and pressure distributions on the die surfaces during one cycle of the forging process were obtained from the non-isothermal simulation. High pressure and temperature were developed at certain areas of the die surfaces. It was concluded that those areas usually coincide with each other and should be distributed by the preforming operations to enhance the die life.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2005.05a
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• pp.428-431
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• 2005

This paper describes the process design for hot forging of bearing hub. Forging processes of bearing hub are simulated using the rigid-plastic finite element method. In the process called closed die forging without flash, the design of blocker geometry is of critical importance. Forging processes designs are take advantage of computer aided Process planning and experts. But that is difficult to predict metal flow line. So the preform is designed by the expert, and modified through predict metal flow line by CAE. This paper is to approach preform design considered defect such as metal flow and unfitting etc. at the finisher process.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.73.3-73
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• 2001

Finishing mill (FM) is set up with rolling conditions (rolling speed, rolling force, roll gap, etc.) calculated by a FSU (Finisher Setup) model considering the temperature, qualities and size of a transfer bar and a strip at the entry and exit of FM before the transfer bar is rolled through FM. If the accuracy of setup is low mass flow unbalance occurs, so that the accuracies of the strip thickness and width become lower or rolling operation fault occurs. Therefore, to enhance the performance of the FSU model and to improve mass flow and the thickness accuracy of a strip in the 7-stand finishing mill using a hot strip speed measurement system. This study is being performed. In this paper, the speed measurement system, a developed neural network for predicting ...

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.677-680
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• 2004

통상적인 언어 처리의 분석 과정은 전처리, 형태소분석, 품사 태깅, 복합 단위 인식, 구문 분석, 그리고 의미 분석 등의 여러 단계로 이루어진다. 분석의 매 단계에서 중의성(Ambiguity)가 발생하며, 이를 해결하기 위한 노력으로 구문 분석 이전의 분석 단계에서도 정확률(Precision)을 높이기 위해, 어휘(Lexical) 정보, 품사정보 그리고 구문 정보 등을 이용한다. 각 단계에서 고급 정보로서의 구문 정보 이용은 구문분석의 중복성과 분석 지식의 중복성을 야기한다. 또한, 기존의 처리 흐름에서는 각 분석 단계에서의 결과는 최종적인 것으로, 이로 인해 다음 분석 단계에 분석 오류를 전파한다. 본 논문에서는 구문 분석기를 분석 결과의 최종 판단자로 이용할 것을 제안한다. 즉, 구문 분석 전단계의 모든 분석 정보는 구문 분석기에 제공되고, 구문분석기는 상향식 구문분석을 수행하면서 이들 정보들로부터 최종의 그리고 최적의 분석 후보를 결정한다. 이를 위해 구문분석기는 한 문장 단위를 입력 받는 기존의 제한을 따르지 않는다. 제안된 방법은 구문분석 앞 단계에서의 잘못된 정보 제공(예: 문장 분리 오류, 품사 오류, 복합단위 인식 오류 등)으로부터 자유로우며, 이를 통해 분석 실패의 가능성을 최대로 줄인다.