• Title/Summary/Keyword: Intelligent machining

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Design of a Stabilized Milling Machine for the Improved Precision Machining (가공정도 향상을 위한 Milling Machine의 안정화 설계)

  • Ro, Seung-Hoon;Lee, Min-Su;Park, Keun-Woo;Kang, Hee-Tae;Lee, Jong-Hyung;Yang, Seong-Hyeon
    • Journal of the Korean Society of Industry Convergence
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    • v.14 no.2
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    • pp.45-52
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    • 2011
  • Since the most exclusive machines of the modern industries which require the nano precision rates are evolved from the machine tools, the design of the stable machine tool structure is very critical. Exclusive machines for the modern industries such as semiconductor, solar cell and LED have surface machining processes which are similar to the face cutting and grinding of conventional machine tools. This study was initiated to stabilize a milling machine structure and further to help design those exclusive machines which have similar machining mechanisms. The vibrations inherent to the machine tool structures hurt the precision machining as well as damage the longevity of the structures. There have been numerous researches in order to suppress the vibrations of machine tool structures using the extra modules such as actuators and dampers. In this paper, the dynamic properties are analyzed to obtain the natural frequencies and mode shapes of a machine tool structure which reflect the main reasons of the biggest vibrations under the given operating conditions. And the feasibility of improving the stability of the structure without using any additional apparatus has been investigated with minor design changes. The result of the study shows that simple changes based on proper system identification can considerably improve the stability of the machine tool structure.

Intelligent High-Precision Warm Forging Process (지능형 고정밀 온간단조 기술)

  • Lee J. Y;Bae M. H.;Jeong S. C.;Seo S. Y.;Lee Y. S.;Lee J. H.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2001.10a
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    • pp.321-325
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    • 2001
  • This paper describes the basic structure of high-precision warm forging process for ball joint socket. If this research is successfully finished, We expect that productivity improvement, reduction of material cost and machining process, and cost down than conventional warm forging process.

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DECISION SUPPORT SYSTEM FOR CUTTING PARAMETERS SELECTION IN MACHINING PROCESSES USING FUZZY KNOWLEDGE

  • Balazinski, M.;Bellerose, M.;Czogala, E.
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.798-801
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    • 1993
  • This paper presents the decision support system using fuzzy knowledge to adapt the cutting conditions chosen by a conventional expert system to a particular machine tool, workpiece and clamping system. These preliminary results demonstrate the capability of fuzzy logic to adjust cutting parameters taking into account parameters difficult to quantify.

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Characteristics of Surface Roughness Based on Wire Vibration and Wire-cut Electric Discharge Machining of Aluminum Alloy 6061 (I) (알루미늄 합금 6061에서 와이어 진동부가에 의한 와이어 컷 방전가공에 따른 표면 거칠기 특성 (I))

  • Ryu, Cheong-Won;Choi, Seong-Dae
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.14 no.2
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    • pp.59-66
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    • 2015
  • The production of high value-added products requires efficient processing and this constant demand for complex shape processing has led to the need for hybrid processing. In this study, the surface characteristics of hybrid machining, which combines wire-cut E.D.M and vibration, are examined. The selected experimental parameters are verticality, waveform, amplitude, peak current and frequency. The experimental results provide a guideline for selecting reasonable machining parameters. Surface roughness was improved by increasing the amplitude of the vibration.

A rule-based scheduling system for automated machining

  • Ahn, Jaekyoung
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1992.04b
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    • pp.249-257
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    • 1992
  • An automated machining system involves concurrent use of manufacturing resources, alternative process plans, and flexible routings. High investment in the installation of automated facilities requires an efficient scheduling system that is able to allocate the resources specified for operations over a scheduling horizon. The primary emphasis of this paper is to generate schedules that accurately reflect details of the automated environment and the objectives stated for the system. In this paper, a scheduling algorithm for automated machining is presented. Using the previous simulation research for this topic, a rule-based scheduling system is constructed. An architecture for an intelligent scheduling system is proposed, and the system has a high potential to provide efficient schedules based on the task-specific knowledge for the dynamic scheduling environment

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The Prediction of Tool Wear by Cutting Force Model in the Machining of Die Material (금형강 가공에서 절삭력 모델에 의한 공구마멸의 예측)

  • 조재성;강명창;김정석
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1994.10a
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    • pp.61-66
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    • 1994
  • Tool condition monitoring is one of the most important aspects to improve productivity and quality and to achieve intelligent machining system. The tool state is classified into three groups as chipping, wear and fracture. In this study, wear of a ceramic cutting tool for hardened die material (SKD11) was investigated. Flank wear was occured more dominant than crarer wear. Therefore, to predict flank wear, the modeling of cutting force has been performed. The modeling of cutting force by an assumption that act the stress distribution on the tool face obtained through a numerical analysis. The relationships between the cutting force and the tool wear can be constructed by machining paraneters with cutting conditions. Experiments were performed under the various cutting conditions to ensure the validity of force models. The theoretical predictions of the flank wear is approximately in good agreement with experimental result.

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FPCB Cutting Process using ns and ps Laser (나노초 및 피코초 레이저를 이용한 FPCB의 절단특성 분석)

  • Shin, Dong-Sig;Lee, Jae-Hoon;Sohn, Hyon-Kee;Paik, Byoung-Man
    • Laser Solutions
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    • v.11 no.4
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    • pp.29-34
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    • 2008
  • Ultraviolet laser micromachining has increasingly been applied to the electronics industry where precision machining of high-density, multi-layer, and multi material components is in a strong demand. Due to the ever-decreasing size of electronic products such as cellular phones, MP3 players, digital cameras, etc., flexible printed circuit board (FPCB), multi-layered with polymers and metals, tends to be thicker. In present, multi-layered FPCBs are being mechanically cut with a punching die. The mechanical cutting of FPCBs causes such defects as burr on layer edges, cracks in terminals, delamination and chipping of layers. In this study, the laser cutting mechanism of FPCB was examined to solve problems related to surface debris and short-circuiting that can be caused by the photo-thermal effect. The laser cutting of PI and FCCL, which are base materials of FPCB, was carried out using a pico-second laser(355nm, 532nm) and nano-second UV laser with adjusting variables such as the average/peak power, scanning speed, cycles, gas and materials. Points which special attention should be paid are that a fast scanning speed, low repetition rate and high peak power are required for precision machining.

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Development of Adaptive Numerical Control System(I)Intelligent Selection of Machining Parameters by Neural-Network Methodology (적응제어 수치제어 시스템의 개발 (I) 신경회로망 기법에 의한 절삭계수의 지적인 선정)

  • 정성종
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.16 no.7
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    • pp.1223-1233
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    • 1992
  • Chemical and mechanical properties of workpieces and tools are important factors for selecting machining parameters in machining process planning. As there is no universal rule representing the machinability defined by metal removal rate, the selection of machining parameters still requires experience-oriented methods. In this paper, a new approach is presented to develop mathematical models for generating optimum machinability in turning processes based on chemical and mechanical properties of workpieces. Neural-Network methodology is introduced to identify mathematical models for machinability. It is confirmed by simulations that the proposed methodology can be used for developing numerical controllers with adaptive control performance.

Characteristics of Micro-Machining Using Two-Dimensional Tool Vibration

  • Ahn, Jung-Hwan;Lim, Han-Seok;Son, Seong-Min
    • International Journal of Precision Engineering and Manufacturing
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    • v.2 no.3
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    • pp.41-46
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    • 2001
  • This paper discusses the feasibility of improving micro-machining accuracy by using two-dimensional(2-D) vibration cutting. Vibration cutting is generated by two piezo actuators arranged orthogonally : one is actuated by a sine curve voltage input, and the other is actuated by a phase-shifted sine curve voltage. A tool attached to the vibrator oscillates in a 2-D elliptical motion, depending on the frequencies, amplitudes, and the phase shifts of two input signals and the workpiece feedrate. Along the elliptical tool locus, cutting is done in the lower part, and non-cutting is done in the upper part. By this way a unique feature of 2-D vibration cutting, that is, air lubrication between a tool and chips, is caused. Another unique feature of 2-D vibration cutting was experimentally verified, that is, some negative thrust force occurs as the direction of chip movement on a tool rake face is reversed. Those features not only help chips flow smoothly and continuously but also reduce cutting force, which results in a higher quality machined surface. Through tool path simulations and experiments under several micro-machining conditions, the 2-D vibration cutting, compared to conventional cutting, was found to result in a great decrease in the cutting force, a much smoother surface, and much less burr.

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Development of Web Based Machining Tool Data System Using XML(eXtensible Markup Language) (XML을 이용한 Web 기반 공구정보 시스템 개발)

  • Kim, Young-Jin;Yang, Yung-Mo
    • IE interfaces
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    • v.16 no.1
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    • pp.8-15
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    • 2003
  • With rapid growth of internet technology, companies have developed an information system such as the electronic catalog for product data in the E-Business. Due to the heuristic nature of the catalog search for proper tools in the specific process, the intelligent and user friendly methods residing in the search process give a comfortable environment even for the beginners in the field. In this paper, we develop a web based catalog for machining tools especially in Milling process. It has two distinct procedures for the users of the catalog; Search and Analysis. The Search is to select a proper cutter, insert, component combination in the developed relational database based on the cutting process and material. The Analysis is to suggest a recommended optimal cutting conditions based on the machining tools and selected materials. All of these procedures are stored in a server with a program based on the ASP and Java Script where the procedure is initiated by the client using the internet which is accessed through insert. With the success on implementing the above engineering database in the internet, we can provide the foundation for developing PDM with heuristic procedure.