• 제목/요약/키워드: 공구오차

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유전 알고리즘을 이용한 공구 수명 예측 최적화 (Optimization of the Tool Life Prediction Using Genetic Algorithm)

  • 공정식
    • 한국산학기술학회논문지
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    • 제19권11호
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    • pp.338-343
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    • 2018
  • 최근 금형산업과 다양한 산업에서 사용되고 있는 CNC 공작기계는 제품 공정 증가에 따라 작업효율, 생산 품질과 작업자의 안전성이 중요해지고 있다. 특히 4차 산업으로 산업구조가 바뀜에 따라 CNC 공작기계는 기존의 고정밀, 고능률화를 넘어 ICT 스마트 가공에 대한 다양한 연구가 진행되고 있다. 이에 CNC 절삭가공 시 생산제품의 품질을 균일하게 하고 재현성을 향상시키기 위한 다양한 공구 수명 예측 연구가 진행되어 왔다. 이러한 과정에서 기존의 확장된 Taylor 공구 수명식을 이용하여 공구 수명을 예측하였을 경우 예측결과와 실제 실험 결과와의 오차가 상당하다. 이에 본 논문에서는 공구 수명 관련 가공 실험을 통해 공구 수명에 대한 데이터를 확보 한 후 이를 기초로 유전알고리즘을 이용하여 최적의 공구 수명 매개변수를 추정하였다. 이때 공구 수명에 관련하여 공구 마모 관련 정보를 삽입하여 공구 마모량에 따른 공구 수명을 정확하게 예측할 수 있도록 구성하였으며, 이를 통해 공구 수명식을 보다 정확하게 최적화할 수 있도록 하였다.

새로운 실시간 공구방향오차 모델에 기초한 5 축 연동제어 시스템 (5-Axis Cross-Coupling Control System Based on a Novel Real-Time Tool Orientation Error Model)

  • 변재형;지성철
    • 한국정밀공학회지
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    • 제27권8호
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    • pp.48-53
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    • 2010
  • 5-axis CNC machining now is getting popular because it can deal with complex shapes such as impeller, turbine blade and propeller without additional equipment or process, proving a set of various tool orientations. CAM software related to 5-axis machining is being developed quickly so that users can take advantage of potential capacities of 5-axis machine tools. However, only a few researches can be found in the area of control strategy development for 5-axis machining. This paper proposes a 5-axis cross-coupling control system based on a novel tool orientation error model. The proposed tool orientation error model provides accurate information on the tool orientation error in real time, which in turn enables directly controlling the tool orientation accuracy. The proposed control system also employs a contour error model to calculate the contour error and reflect it in the control as well. The accuracy of the proposed tool orientation error model is verified and the performance of the 5-axis cross-coupling control system in terms of both contouring and tool orientation accuracy is evaluated through computer simulations compared with existing 5-axis control systems.

볼 엔드밀링에서의 공구 정렬 오차에 의한 가공면의 이론적인 평가 (Theoretical Estimation of Machined Surface Profile by Tool Alignment Errors in Ball-End Milling)

  • 신영재;박경택;이종현;강병수
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2006년도 춘계학술대회 논문집
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    • pp.627-628
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    • 2006
  • High speed milling process is emerging as an important fabrication process benefits include the ability to fabricate micro and meso-scale parts out of a greater range of materials and with more varied geometry. It also enables the creation of micro and meso-scale molds for injection molding. Factors affecting surface roughness have not been studied in depth for this process. A series of experiments has been conducted in order to begin to characterize the factors affecting surface roughness and determine the range of attainable surface roughness values for the high speed milling process. It has previously been shown that run-out creates a greater problem for the dimensional accuracy of pans created by high speed milling process. And run-out also has a more significant effect on the surface quality of milled parts. The surface roughness traces reveal large peak to valley variations. This run-out is generated by spindle dynamics and tool geometry. In order to investigate the relationship between tool alignment errors and surface roughness the scallop generating mechanism in the ball-end milling with tool alignement errors has been studied and simulated. The results indicate that tool alignment errors have no significant effects ell the dimension of scallops in for flat planes.

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측면가공에서 마이크로 엔드밀의 공구변형에 의한 절삭가공오차 보상에 관한 연구 (A Study of Machining Error Compensation for Tool Deflection in Side-Cutting Processes using Micro End-mill)

  • 전두성;서태일;윤길상
    • 한국공작기계학회논문집
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    • 제17권2호
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    • pp.128-134
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    • 2008
  • This paper presents a machining error compensation methodology due to deflection of micro cutting tools in side cutting processes. Generally in order to compensate for tool deflection errors it is necessary to carry out a series of simulations, cutting force prediction, tool deflection estimation and compensation method. These can induce numerous calculations and expensive costs. This study proposes an improved approach which can compensate for machining errors without simulation processes concerning prediction of cutting force and tool deflection. Based on SEM images of test cutting specimens, polynomial relationships between machining errors and corrected tool positions were induced. Taking into account changes of cutting conditions caused by tool position variation, an iterative algorithm was applied in order to determine corrected tool position. Experimental works were carried out to validate the proposed approach. Comparing machining errors of nominal cutting with those of compensated cutting, overall machining errors could be remarkably reduced.

마이크로 엔드밀링시 공구 변형이 가공오차에 미치는 영향에 관한 연구 (A Study of Machining Error Due to Tool Deflection in Micro Endmilling)

  • 서태일;손종인;이학용
    • 한국생산제조학회지
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    • 제18권3호
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    • pp.294-299
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    • 2009
  • Micro end-milling has been becoming an important machining process to manufacture a number of small products such as micro-devices, bio-chips, micro-patterns and so on. Many related researches have given grand effects to micro end-milling phenomenon, for example, micro end-milling mechanism, cutting force modeling and machinability. This paper strongly concerned actual problem, micro tool deflection, which causes excessive machining errors on the workpiece. Machining error were predicted and measured through a series of test micro cutting and analysis of their SEM images and FEM analysis. Experiments are carried out to validate the approaches.

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자율가공 시스템을 위한 가공면 오차보상에 관한 연구 (Study of Machined Surface Error Compensation for Autonomous Manufacturing System)

  • 서태일
    • 한국생산제조학회지
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    • 제9권4호
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    • pp.75-84
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    • 2000
  • The main goal of our research is to compensate the milled surface errors induced by the tool deflection effects, which occur during the milling process. First, we predict cutting forces and tool deflection amount. Based on predicted deflection effects, we model milled surface shapes. We present a compensation methodology , which can generate a new tool trajectory, which is determined so as to compensate the milled surface errors. By considering manufacturing tolerance, tool path compensation is generalized. To validate the approaches proposed in this paper, we treat an illustrative example of profile milling process by using flat end mill. Simulation and experimental results are shown.

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미세형상 가공을 위한 Micro Slot 가공에서의 공구변형에 의한 가공오차 보상 (Machining Error Compensation for Tool Deflection in Micro Slot-Cutting Processes for Fabrication of Micro Shapes)

  • 손종인;윤길상;서태일
    • 한국공작기계학회논문집
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    • 제17권2호
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    • pp.121-127
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    • 2008
  • Micro end-milling has been becoming an important machining process to manufacture a number of small products such as micro-devices, bio-chips, micro-patterns and so on. Despite the importance of micro end-milling, many related researches have given grand efforts to micro end-milling phenomenon, for example, micro end-milling mechanism, cutting force modeling and machinability. This paper strongly concerned actual problem, micro tool deflection, which causes excessive machining errors on the workpiece. To solve this problem, machining error prediction method was proposed through a series of test micro cutting and analysis of their SEM images. An iterative algorithm was applied in order to obtain corrected tool path which allows reducing machining errors in spite of tool deflection. Experiments are carried out to validate the proposed approaches. In result, remarkable error reduction could be obtained.

측벽 엔드밀 가공에서 공구 변형을 고려한 형상 오차 예측 (Form Error Prediction in Side Wall Milling Considering Tool Deflection)

  • 류시형;주종남
    • 한국정밀공학회지
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    • 제21권6호
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    • pp.43-51
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    • 2004
  • A method for form error prediction in side wall machining with a flat end mill is suggested. Form error is predicted directly from the tool deflection without surface generation by cutting edge locus with time simulation. Developed model can predict the surface form error about three hundred times faster than the previous method. Cutting forces and tool deflection are calculated considering tool geometry, tool setting error and machine tool stiffness. The characteristics and the difference of generated surface shape in up milling and down milling are discussed. The usefulness of the presented method is verified from a set of experiments under various cutting conditions generally used in die and mold manufacturing. This study contributes to real time surface shape estimation and cutting process planning for the improvement of form accuracy.