• Title/Summary/Keyword: 밀링공정

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Determination of Cutting Parameters Considering Machining Safety in Milling Operation (밀링작업에서 가공 안전성을 고려한 가공조건의 결정)

  • Park, Byoung-Tae
    • Journal of the Korean Society of Safety
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    • v.21 no.6 s.78
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    • pp.116-121
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    • 2006
  • In metal cutting processes, cutting conditions have an influence on reducing the production cost and deciding the quality of a final product. Process planners usually make modification to recommended cutting parameters obtained from machining data handbooks in order to satisfy requirements for individual operation. The modified cutting parameters also need to be examined for the safe machining. In this paper, a new operation planning system that allows the generation and check of modified cutting parameters is proposed for the milling process. A neural network methodology is introduced to identify mathematical models for generation of the modified cutting parameters, and several simplified rules and equations are presented for the check of the cutting parameters. Finally, the results are demonstrated with an example part.

Review of Recent Progress in Micromilling Process Research (미세밀링공정의 최근 연구동향)

  • Heo, Se-Gon;Lee, Won-Kyun;Min, Byung-Kwon;Je, Tae-Jin
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.11 no.2
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    • pp.20-26
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    • 2012
  • Recently, micromilling process has been progressed to meet the variety of the industry demands in micromolds and precision components. As a result, more and more commercialized micro tools and machines become available during last few years. This paper reviews the recent progress of micromilling technology in last five years. The results in process, machine tools, and micro tool fabrications are discussed.

Optimization of Cutting Conditions Using Heuristic Modification (휴리스틱 보정에 의한 절삭조건의 최적화)

  • Park, Byoung-Tae;Park, Myon-Woong
    • IE interfaces
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    • v.8 no.3
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    • pp.231-239
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    • 1995
  • 일반적으로 공정설계자는 실제 절삭을 위하여 각 공정의 표준 절삭조건에 대하여 적적한 보정을 수행한다. 이러한 보정과정에서 사용되는 지식은 경험에 바탕을 둔 것이므로 이의 시스템화는 경험 지향적인 방법론(Experience-Oriented Method)을 요구한다. 본 논문에서는 밀링 공정을 대상으로, 검색된 표준 절삭조건에 대하여 최적의 절삭조건을 결정하기 위한 방법과 제안된 방법에 의해 개발된 시스템을 소개한다.

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Application of an Adaptive Robust Controller to Cutting Force Regulation (견실한 서보적응제어기를 응용한 절삭력 추종제어)

  • 김종원
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.15 no.1
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    • pp.78-89
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    • 1991
  • This Paper presents an application example of the Adaptive Robust Servocontrol (ARSC) scheme, which is an explicit (or indirect) pole-assignment adaptive algorithm with the property of "robustness". The ARSC scheme is applied to an end-milling process for cutting force regulation. It is shown that the federate of an end-milling process can be maximized by the adaptive regulation of the peak cutting force through the ARSC scheme. The results of simulation study and real cutting experiment are presented. It has been verified that asymptotic regulation can be achieved with robustness against the slowly time-varying perturbations to the process model parameters, which are caused by nonlinear cutting dynamics. dynamics.

Indirect Cutting Force Estimation Using Artificial Neural Network (인공 신경망을 이용한 절삭력 간접 측정)

  • 최지현;김종원
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.1054-1058
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    • 1995
  • There have been many research works for the indirect cutting force measurement in machining process, which deal with the case of one-axis cutting process. In multi-axis cutting process, the main difficulties to estimate the cutting forces occur when the feed direction is reversed. This paper presents the indirect cutting force measurement method in contour NC milling processes by using current signals of servo motors. An artificial neural network (ANN) system are suggested. An artificial neural network(ANN) system is also implemented with a training set of experimental cutting data to measure cutting force indirectly. The input variables of the ANN system are the motor currents and the feedrates of x and y-axis servo motors, and output variable is the cutting force of each axis. A series of experimental works on the circular interpolated contour milling process with the path of a complete circle has been performed. It is concluded that by comparing the ANN system with a dynamometer measuring cutting force directil, the ANN system has a good performance.

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Cutting Process Modeling of End-Milling in a Closed-Loop Configuration (공구 공작물간의 상대변위를 고려한 엔드밀링의 절삭공정 모델링)

  • 황철현;조동우
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.1059-1062
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    • 1995
  • In cutting system, relative displacement between rool and workpiece is very important. Even though there have been so many works for modeling cutting process of end-milling, most of them have considered only one displacement of either tool or workpiece instead of both. In this paper, the relative displacement between tool and workpiece is considered for modeling cutting process of end-milling using simple experimental modal analysis and cutting force simulation program is developed. In cutting force model, instantaneous uncut chip thickness model is used and Runge-Kutta method is used for the simulation of time varying cutting system.

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Rapid Product Fabrication using Wire Welding with $CO_2$ Laser Irradiation and Milling Process Technology (레이저 용접공정과 밀링공정에 의한 쾌속 금속 시작품 제작)

  • 최두선;신보성;윤경구;황경현;박진용;이종현;송용억;박세형
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.05a
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    • pp.763-766
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    • 2000
  • The Rapid Prototyping and Tooling technology has been developed. However, most commercial ones currently use resins or waxes as the raw materials. These days. the direct metal deposition methods are researched as a true rapid prototyping and tooling technology. A fundamental study on rapid prototyping and tooling with wire welding technology using $CO_2$ laser radiation was carried out in this paper. The main focus is to develop a simple commercial rapid prototyping and tooling system with the exiting laser welding technology. The process is investigated as a function of laser parameters and process variables. Basic parts were fabricated as out-put and their microstructure, hardness and tensile strength are examined for the reliability. In addition, Its advantages and disadvantages are discussed as a rapid prototyping and tooling system.

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Numerical Analysis of Thermal Characteristics of a Milling Process of Titanium Alloy Using Nanofluid Minimum-Quantity Lubrication (티타늄 합금의 나노유체 극미량 윤활 밀링 공정 열특성에 관한 수치 해석 연구)

  • Kim, Young Chang;Kim, Jin Woo;Kim, Jung Sub;Lee, Sang Won
    • Journal of the Korean Society for Precision Engineering
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    • v.34 no.4
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    • pp.253-258
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    • 2017
  • This paper presents a numerical study on the thermal characteristics of a milling process of titanium alloy with nanofluid minimum-quantity lubrication (MQL). The computational fluid dynamics (CFD) approach is introduced for establishing the numerical model for the nanofluid MQL milling process, and estimated temperatures for pure MQL and for nanofluid MQL using both hexagonal boron nitride (hBN) and nanodiamond particles are compared with the temperatures measured by thermocouples in the titanium alloy workpiece. The estimated workpiece temperatures are similar to experimental ones, and the model is validated.

Integration of Production Information in the Milling Operation Planning (밀링 작업계획에서의 생산정보 통합)

  • Rho, Hyung-Min;Lee, Choong-Soo
    • IE interfaces
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    • v.7 no.3
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    • pp.113-123
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    • 1994
  • 사용자 고유의 공정설계 노하우는 설계 도면정보에서 가공정보로의 변환의 일관성 유지를 어렵게 하고 또한 그 기술획득에 많은 시간을 필요로 한다. 가공방법과 가공기계가 결정된 후, 세부 작업내용, 작업순서, 절삭공구, 절삭조건, 공수 등을 결정하는 밀링 작업계획 모듈을 공작기계 부품을 대상으로 개발하였다. 설계 도면정보를 특징형상에 따라 입력하여 최적절삭조건 모듈 및 I/MILL 상용 프로그램의 도움을 받아 작업지시서와 NC 프로그램을 출력한다. 특징형상을 중심으로 작업계획 생산정보의 입/출력 내용과 작업계획 항목을 결정하는 본 시스템 개발을 통해 생산정보 통합 기술에 대한 이해를 기대한다.

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Tool Breakage Detection in Face Milling Using a Self Organized Neural Network (자기구성 신경회로망을 이용한 면삭밀링에서의 공구파단검출)

  • 고태조;조동우
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.18 no.8
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    • pp.1939-1951
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    • 1994
  • This study introduces a new tool breakage detecting technology comprised of an unsupervised neural network combined with adaptive time series autoregressive(AR) model where parameters are estimated recursively at each sampling instant using a parameter adaptation algorithm based on an RLS(Recursive Least Square). Experiment indicates that AR parameters are good features for tool breakage, therefore it can be detected by tracking the evolution of the AR parameters during milling process. an ART 2(Adaptive Resonance Theory 2) neural network is used for clustering of tool states using these parameters and the network is capable of self organizing without supervised learning. This system operates successfully under the wide range of cutting conditions without a priori knowledge of the process, with fast monitoring time.