• Title/Summary/Keyword: Machine Part

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Development of control module for FMS construction (FMS 구축을 위한 제어 module 개발)

  • 최홍태;배용환;박재홍;이석희
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.1090-1095
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    • 1992
  • This paper describes the systematic control method of process information transfer and machine cell control in FMS implementation. We have constructed an experimental FMS computer network and control system. The system hardware consists of host computer to manage process data and information transfer of machine cells, cell control computers to control machine cells(NC lathe, machining center). On the other hand, software is made up of oredr management module, NC program searching and generation module, NC part program error check module and cell control module. In this study, we could arrive at conclusion as following : The first, each task could be accomplihed by the efficient information transfer in hierachical computer network. The second, data base system of part programs and process control data is needed for the efficint information transfer and production management. Lastly, expansion of FMS control system could be achieved by the hierachical and decentralized computer control system.

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Alignment Measuring Apparatus for B-axis of Separated Multi-axis Machine (분리된 다축 장비의 B축 얼라인먼트 측정 장치에 관한 연구)

  • Cheon, Kyeong-Ho;Kim, Hae-Ji
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.17 no.4
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    • pp.47-54
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    • 2018
  • These days, the aerospace industry uses larger machining parts and assembly parts than those in the past. The assembly machines also show the same trend. This study is concerned with the alignment measuring apparatus for the B-axis of a separated multi-axis machine. The alignment measuring apparatus is widely installed for assembly machines in the aircraft assembly process. The alignment measuring apparatus consists of a swivel part and a measuring part. This is a new conceptual idea under patent. All elements of the alignment measuring apparatus are analyzed with the FEM. The analyzed result shows that the alignment measuring apparatus is high in accuracy with stability and steady deformation.

Development of a Virtual Machine Tool - Part 2: Dynamic Cutting Force Model, Thermal Behavior Model, Feed Drive System Model, and Comprehensive Software Environment

  • Ko, Jeong-Hoon;Yun, Won-Soo;Kang, Seok-Jae;Cho, Dong-Woo;Ahn, Kyung-Gee;Yun, Seung-Hyun
    • International Journal of Precision Engineering and Manufacturing
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    • v.4 no.3
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    • pp.42-47
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    • 2003
  • In Part 2 of this paper, the dynamic cutting force model, thermal behavior model, and feed drive model used in the development of a virtual machine tool (VMT) are briefly described. Some results are presented to verify the proposed models. Experimental data agreed well with the predicted results fer each model. A comprehensive software environment to integrate the models into a VMT is also proposed.

Consideration of the Clearance According to the Wire Electrical Discharge Machining Conditions (와이어 방전가공에서 가공조건에 대한 방전갭 크기 고찰)

  • 이건범;최태준;이세현;손일복;이성용;한상희
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1999.05a
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    • pp.105-110
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    • 1999
  • Wire electrical discharge machining (WEDM) is one of the unconventional machining processes, which is utilizing electrical energy to remove work-piece. In recent years WEDM used widely in die-sinking industry because WEDM can machine any hard materials if only it has conductivity and can machine accurately to the complex geometry, for fine wire is used in WEDM for the tool electrode. However WEDM is non-contact machining process, which is utilizing discharge phenomena occurring between two electrodes, the size of the machined part is larger than that of the tool electrode size. It is called discharge gap or clearance the difference size between the tool electrode and the machined part in WEDM. By the experiment clearances according to the machining condition was investigated.

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Digital Assembly Simulation of Micro Factory Constructed with Rectangular Pattern (사각패턴으로 구축된 초소형 공장의 디지털 조립 시뮬레이션)

  • Park, Sang-Ho;Choi, Sung-Il;Subramaniyam, Murali;Seo, Joo-Hyun;Song, Joon-Yub;Park, Se-Jin
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.17 no.5
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    • pp.64-69
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    • 2008
  • In recent years, most of the researchers have been working on micro system manufacturing technological environment. With this international trend and one of the key researches in Korea, this paper gives the keynote on manufacturing the micro-scaled part with digital micro factory and its simulation. In order to construct and estimate reconfigurable simulation time, the digital simulation has been performed for the micro factory and for ultra small machines. From simulation result we came to know that micro factory requires less work-in space and processing time to manufacture micro-scaled part with different environment.

Five-Axis Machining with Three-Axis CNC Machine (3 축 CNC 를 이용한 5 축 자유곡면 가공)

  • Lee, Jung-Jae;Suh, Suk-Hwan
    • Journal of Korean Institute of Industrial Engineers
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    • v.21 no.2
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    • pp.217-237
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    • 1995
  • One of the most distinguished advantages of five-axis machining is that complex free surfaces(such as impeller) can be machined by one setup. Five-axis CNC machine, however, is very expensive so that its usage is restricted to a few large companies. As an economical approach to five-axis machining, this paper presents a method for machining the five-axis free surfaces(using ball-end mill) on a three-axis CNC machine with an index table. The method developed consists of: a) determining the minimum number of part setups and their interference-free and collision-free potential machining area, b) calculating actual machining area for each setup, and c) generating 3-axis cutter path for each part setup. The method has been successfully tested via computer simulations for several complex surfaces including impeller.

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Cluster Analysis-based Approach for Manufacturing Cell Formation (제조 셀 구현을 위한 군집분석 기반 방법론)

  • Shim, Young Hak;Hwang, Jung Yoon
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.36 no.1
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    • pp.24-35
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    • 2013
  • A cell formation approach based on cluster analysis is developed for the configuration of manufacturing cells. Cell formation, which is to group machines and parts into machine cells and the associated part families, is implemented to add the flexibility and efficiency to manufacturing systems. In order to develop an efficient clustering procedure, this paper proposes a cluster analysis-based approach developed by incorporating and modifying two cluster analysis methods, a hierarchical clustering and a non-hierarchical clustering method. The objective of the proposed approach is to minimize intercellular movements and maximize the machine utilization within clusters. The proposed approach is tested on the cell formation problems and is compared with other well-known methodologies available in the literature. The result shows that the proposed approach is efficient enough to yield a good quality solution no matter what the difficulty of data sets is, ill or well-structured.

A Study on Loose Part Monitoring System in Nuclear Power Plant Based on Neural Network

  • Kim, Jung-Soo;Hwang, In-Koo;Kim, Jung-Tak;Moon, Byung-Soo;Lyou, Joon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.2 no.2
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    • pp.95-99
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    • 2002
  • The Loose Part Monitoring System(LPMS) has been designed to detect. locate and evaluate detached or loosened parts and foreign objects in the reactor coolant system. In this paper, at first, we presents an application of the back propagation neural network. At the preprocessing step, the moving window average filter is adopted to reject the reject the low frequency background noise components. And then, extracting the acoustic signature such as Starting point of impact signal. Rising time. Half period. and Global time, they are used as the inputs to neural network . Secondly, we applied the neural network algorithm to LPMS in order to estimate the mass of loose parts. We trained the impact test data of YGN3 using the backpropagation method. The input parameter for training is Rising clime. Half Period amplitude. The result shored that the neural network would be applied to LPMS. Also, applying the neural network to thin practical false alarm data during startup and impact test signal at nuclear power plant, the false alarms are reduced effectively.

A Computer-Aided Inspection Planning System for On-Machine Measurement - Part I : Global Inspection Planning -

  • Lee, Hong-Hee;Cho, Myeong-Woo;Yoon, Gil-Sang;Choi, Jin-Hwa
    • Journal of Mechanical Science and Technology
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    • v.18 no.8
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    • pp.1349-1357
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    • 2004
  • Computer-Aided Inspection Planning (CAIP) is the integration bridge between CAD/CAM and Computer Aided Inspection (CAI). A CAIP system for On-Machine Measurement (OMM) is proposed to inspect the complicated mechanical parts efficiently during machining or after machining. The inspection planning consists of Global Inspection Planning (GIP) and Local Inspection Planning (LIP). In the GIP, the system creates the optimal inspection sequence of the features in a part by analyzing the various feature information such as the relationship of the features, Probe Approach Directions (PAD), etc. Feature groups are formed for effective planning, and special feature groups are determined for sequencing. The integrated process and inspection plan is generated based on the sequences of the feature groups and the features in a feature group. A series of heuristic rules are developed to accomplish it. In the LIP of Part II, the system generates inspection parameters. The integrated inspection planning is able to determine optimum manufacturing sequence for inspection and machining processes. Finally, the results are simulated and analyzed to verify the effectiveness of the proposed CAIP.

A Support System for Searching Robust Injection Molding Condition (안정적인 사출성형조건의 탐색을 위한 지원시스템)

  • Kim, Bo-Hyun;Baek, Jae-Yong;Yi, Il-Lang
    • IE interfaces
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    • v.18 no.1
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    • pp.73-81
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    • 2005
  • Injection molding has been widely used in producing plastic parts in large quantities. However, its productivity mainly depends on the expertise and experience of skilled workers because of the difficulty and complexity to determine a robust injection molding condition which is not influenced by the minor operational variation of an injection molding machine and produces good parts continuously. This study analyzes the defect types of the parts and proposes a support system to assist users in determining the robust process condition. The support system calculates the start condition from the information of an injection mold, the injection molding machine, the resin used, and the part. Through the iterative step which updates the condition using the defect information of the part tested, users can obtain the initial condition which produces the part without any problem for the first time. The support system also assists users in obtaining the robust condition from the initial condition using the technique of experimental design. To prove the validity of the support system, this study implements it in the control panel of the injection molding machine.