[논문]AFC를 이용한 두랄루민의 최적화 가공에 관한 연구

강민석

doi:10.14775/ksmpe.2020.19.01.049

AFC를 이용한 두랄루민의 최적화 가공에 관한 연구
Study on Optimized Machining of Duralumin using AFC 원문보기

한국기계가공학회지 = Journal of the Korean Society of Manufacturing Process Engineers, v.19 no.1, 2020년, pp.49 - 55

강민석 (한국폴리텍대학 컴퓨터응용기계과)

Abstract ▼ AI-Helper

Studies on the optimizations of machining processes use two different methods. The first is feed control in real-time by spindle load in a machine tool. The second is feed scheduling in NC code control by material removal rate using a CAD/CAM system. Each approach possesses its respective merits and issues compared to the other. That is, each method can be complementary to the other. The purpose of the study is to improve the productivity of the bulkhead, an aircraft Duralumin structure. In this paper, acceleration or deceleration of cutting tool by spindle load data is achieved using adaptive feed control macro programming in a machine tool.

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문제 정의

The optimization method to be developed in this study aims to shorten the machining time and prevent tool damage by controlling the feed rate. One important research subject is whether machine tools can automatically decelerate when a tool is overloaded.

가설 설정

1. The cutting feed rate can be controlled by the target load without modifying the NC program.
3. AFC can be applied regardless of the material shape because it is based on the spindle load.
4. Tool damage can be prevented because the feed rate is reduced even if tool wear occurs during machining.
5. The tool life can be extended because the maximum load is reduced.
6. If the tool diameter is small and the load is <1% of the spindle load, it is difficult to apply AFC due to the hysteresis filter.
7. When there is no tool load for a certain time, this can be determined as due to tool damage and the machine tool can be stopped.

제안 방법

This does not require separate hardware, just an Internet cable connection (RJ45). In this study, we use Siemens macros to acquire the spindle load information of machine tools to control the machining speed and improve productivity using the adaptive feed control (AFC) feature. It is expected that this will prevent damage to cutting tools and extend the life of the spindle.
The objective of this preliminary study is to improve the productivity of the bulkhead product of Boeing 787 as shown in Fig. 1. For the bulkhead component of a large aircraft, the required raw material weighs approximately 1 t (1,052 kg, 2,387 x 2,133.

대상 데이터

The bulkhead of aircraft is made of AL7000 series among the Duralumin materials. Therefore, the present study selected AL7075-T751 as raw material, which is identical to the material of a bulkhead.

성능/효과

In this experiment, the feed rate changes when the existing cutting method and AFC are applied are measured and how much time can be saved is determined. The experiment was planned for full slot machining because the load is the largest in slot machining.

참고문헌 (12)

Karunakaran, K. P., Shringi, R., "A Solid Model-Based Off-Line Adaptive Controller For Feed Rate Scheduling For Milling Process," Journal of Materials Processing Technology, Vol. 204, pp. 384-396, 2008.

상세보기
Zhang, L., Feng, J., Wang, Y., Chen, M., "Feedrate Scheduling Strategy for Free-Form Surface Machining Through an Integrated Geometric and Mechanistic Model," The International Journal of Advanced Manufacturing Technology, Vol. 40, pp. 1191-1201, 2009.

상세보기
Lee, H. U., Cho, D. W., "An Intelligent Feedrate Scheduling Based on Virtual Machining," The International Journal of Advanced Manufacturing Technology, Vol 22, pp. 873-882 2003.

상세보기
Kurt, M., Bagci, E., "Feedrate Optimisation/Scheduling on Sculptured Surface Machining: A Comprehensive Review, Applications and Future Directions," The International Journal of Advanced Manufacturing Technology, Vol. 55, pp. 1037-1067, 2011.

상세보기
Erdim, H., Lazoglu, I., Ozturk, B., "Feedrate Scheduling Strategies for Free-Form Surfaces," International Journal of Machine Tools & Manufacture, Vol. 46, pp. 747-757, 2006.

상세보기
Guzel, B. U., Lazoglu, I., "Increasing Productivity in Sculpture Surface Machining via Off-Line Piecewise Variable Feedrate Scheduling Based on The Force System Model," International Journal of Machine Tools & Manufacture, Vol. 44 pp. 21-28, 2004.

상세보기
Liu, Y., Cheng, T., Zuo, L., "Adaptive Control Constraint of Machining Processes," The International Journal of Advanced Manufacturing Technology, Vol. 17 pp. 720-726, 2001.

상세보기
Pitstra, W. C., Pieper, J. K., "Controller Designs for Constant Cutting Force Turning Machine Control," ISA Transactions Vol. 39, pp. 191-203, 2000.

상세보기
Tang, L., Landers, R. G., "Predictive Contour Control with Adaptive Feed Rate," IEEE/ASME Transactions on Mechatronics, Vol. 17, No. 4, pp. 669-679, 2012.

상세보기
Zhang, J. Z., Chen, J. C., Kirby, E. D., "The Development of an In-Process Surface Roughness Adaptive Control System in Turning Operations," Journal of Intelligent Manufacturing, Vol. 18, pp. 301-311, 2007.

상세보기
Yang, L. D., Chen, J. C., Chow, H.M., Lin, C.T., "Fuzzy-Nets-Based In-Process Surface Roughness Adaptive Control System in End-Milling Operations," The International Journal of Advanced Manufacturing Technology, Vol 28, pp. 236-248, 2006.

상세보기
Denkena, B., Flotera, F., "Adaptive Cutting Force Control on a Milling Machine with Hybrid Axis Onfiguration," Procedia CIRP Vol. 4, pp. 109 - 114, 2012.

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연합인증

AFC를 이용한 두랄루민의 최적화 가공에 관한 연구
Study on Optimized Machining of Duralumin using AFC 원문보기

Abstract ▼ AI-Helper

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AI 본문요약
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문제 정의

가설 설정

제안 방법

대상 데이터

성능/효과

참고문헌 (12)

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연합인증

AFC를 이용한 두랄루민의 최적화 가공에 관한 연구 Study on Optimized Machining of Duralumin using AFC 원문보기

Abstract ▼ AI-Helper

주제어

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문제 정의

가설 설정

제안 방법

대상 데이터

성능/효과

참고문헌 (12)

이 논문을 인용한 문헌

관련 콘텐츠

원문 보기

원문 URL 링크

오픈액세스(OA) 유형

이 논문과 함께 이용한 콘텐츠

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선택된 텍스트

AFC를 이용한 두랄루민의 최적화 가공에 관한 연구
Study on Optimized Machining of Duralumin using AFC 원문보기

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AI-Helper