• Title/Summary/Keyword: 금형 생산

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Technology of Mold Design and Manufacturing for Vacuum-Assisted Thermoforming Mold in Insert Film Injection Molding (INSERT FlLM 사출성형용 진공열성형 금형설계 및 제작기술)

  • Lee, S.H.;Ko, Y.B.;Lee, J.W.
    • 한국금형공학회:학술대회논문집
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    • 2008.06a
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    • pp.69-73
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    • 2008
  • 본 연구에서는 고분자 플라스틱 부품의 친환경 외장성형공법인 Insert Film 사출성형공법중 첫 번째 공정인 진공성형공정에서 진공금형의 표면온도 균일화 기술에 대해 연구를 수행하였다. 진공금형의 온도분포 균일화를 위한 금형설계 및 설계된 금형에 대한 온도분포 평가를 위한 ANSYS를 이용한 유한요소열해석을 수행하였으며, 이때 정상상태 및 과도상태를 함께 평가하였다. 설계 결과를 바탕으로 금형을 제작하였으며, 생산성을 고려하여 4캐비티로 제작된 금형에 대해 금형표면의 온도분포 평가실험을 수행하였다. 또한 금형내 캐비티 온도센서 및 제어시스템을 설치하여 진공금형표면 온도분포가 항상 일정하게 유지될 수 있도록 금형시스템을 개발하였다. 결과적으로 일정한 온도범위의 금형표면온도제어가 가능하였다.

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금형업종 B2B 시범사업

  • 류병우
    • Proceedings of the CALSEC Conference
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    • 2003.09a
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    • pp.28-32
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    • 2003
  • ㆍ사업목표 -50인 미만의 중소업체가 전체 생산의 72%를 차지하는 금형산업의 경쟁력 강화와 전자상거래를 통한 가치사슬의 개선 ㆍ사업규모 -사업기간 : 2001.7.1∼2004.6.30 -사업비용 : 총 29.4억원(정부 20.3억/민간 9.1억) ㆍ추진주체 : 금형조합 컨소시엄 -주관기업(기관) : (주)허브닷컴 -참여기업(기관):한국금형공업협동조합 및 재영솔루텍(주), 기신정기(주)외 오프라인 금형 및 금형부품기업 5개사, (주)일렉트로피아 외 IT기업 3개사(중략)

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A Study on the damage cause of blanking die (블랭킹 금형의 파손요인에 관한 연구)

  • Choi, Kye-Kwang
    • Proceedings of the KAIS Fall Conference
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    • 2006.11a
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    • pp.265-268
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    • 2006
  • 프레스 금형은 대표적인 소성변형에 의한 가공법이다. 금형을 제작하여 프레스에 장착하고 제품을 생산하게 되면 피할 수 없는 문제가 금형의 파손에 관한 것이다. 금형의 파손에는 여러 가지 문제가 있을 수 있지만 그중 중요요인 중 하나가 열처리에 의한 것이다. 본 연구에서는 실제 현장에서 발생된 파손 금형의 일부형태를 파악하고 원인을 분석하고자 한다.

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Behavior Analysis of Bakery Die (제빵 금형의 거동해석)

  • Lee, Jong-Sun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.6
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    • pp.1506-1510
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    • 2008
  • This research aims to analyze a die for confectionery and bakery by applying finite element technique. The design of the die was done by Solidworks and the ANSYS code for 3 dimensional finite elements was applied. A new die was designed by the results of stress, strain, and total deformation. This analytical techniques brings improved productivity and saves time in the design of a die.

자랑스런안전인 - 포스코아 김기원 공장장

  • Im, Jae-Geun
    • The Safety technology
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    • no.150
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    • pp.18-19
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    • 2010
  • 포스코아는 1974년 설립되어 모터와 변압기용 코아, 그리고 금형을 생산하는 세계적인 선도기업으로 국내뿐 아니라 해외 사장으로 다양한 제품들을 수출하고 있다. 자동차에 쓰이는 모터코아에서부터 가전제품의 가전기기모터코아, 산업용 기계에 들어가는 산업용 모터코아 등을 생산하고 있으며 2003년 6열 회전 적층 금형개발, 2005년 하이브리드 모터 개발 참여 등을 세계적으로 인정받고 있다.

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The Development of Multi-Cavity Cylindrical Gear (멀티 캐비티 실린더 기어 개발)

  • Lee, Jeong-Ick
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.5
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    • pp.1552-1557
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    • 2010
  • The cylindrical gear in power window motor assembly is important to doors of automobile. This study is performed for the purpose of getting a manufacturing technique instead of large quantities import and six-cavity mold production. This multi-cavity cylindrical gear is produced under five procedures. The first, mold design of mass-production, the second, making a CAE model for mass-production, the third, manufacturing of sample mold, the fourth, trying-out and measuring of 3 dimensional design, the fifth, acquisition of data analysis and mold modification. Among them, analysis of mass-production using CAE, designing and manufacturing of multi-cavity are successfully performed. In the results, it is concluded that the mold for one gate and eight-cavity based on hot-runner is suitable for making a cylindrical gear.

A Study on the progressive die design and making of gas boiler exhaust pipe (가스보일러 연소배기관 프로그레시브금형의 설계와 제작에 관한 연구)

  • Lee, Chun-Kyu;Kim, Young-Choon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.9
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    • pp.4111-4116
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    • 2013
  • The progressive die producing continuously while transferring in order a multiple process is processing law that it is efficient and quality is excellent. In this study the position of precision secured that it occurred when be welded exhaust efficiency of gas boiler combustion exhaust pipe and the exhaust pipe which is cause of incomplete combustion for the purpose of productivity increase. it add burring to a product form and progressive die make die don't disassemble and it be able to exchange burring punch the position of precision and productivity by progressive die is able to improve.

Micro cutting process technology for micro molds parts (마이크로 금형 부품을 위한 마이크로 절삭가공 기술)

  • Ha, Seok-Jae;Park, Jeong-Yeon;Kim, Gun-Hee;Yoon, Gil-Sang
    • Design & Manufacturing
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    • v.13 no.1
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    • pp.5-12
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    • 2019
  • In this paper, we studied the micro tool deflection, micro cutting with low temperature, and deformation of micro ribs caused by cutting forces. First, we performed an integrated machining error compensation method based on captured images of tool deflection shapes in micro cutting process. In micro cutting process, micro tool deflection generates very serious problems in contrast to macro tool deflection. To get the real images of micro tool deflection, it is possible to estimate tool deflection in cutting conditions modeled and to compensate for machining errors using an iterative algorithm correcting tool path. Second, in macro cutting fields, the cryogenic cutting process has been applied to cut the refractory metal but, the serious problem may be generated in micro cutting fields by the cryogenic environment. However, if the proper low temperature is applied to micro cutting area, the cooling effect of cutting heat is expected. Such effect can make the reduction of tool wear and burr formation. For verifying this passibility, the micro cutting experiment at low temperature was performed and SEM images were analyzed. Third, the micro pattern was deformed by the cutting forces and the shape error occurred in the sidewall multi-step cutting process were minimized. As the results, the relationship between the cutting conditions and the deformation of micro-structure during micro cutting process was investigated.

Finite element analysis of a injection blow molding process for the thick-walled PET bottle (후육 벽 PET 용기에 대한 사출 블로우 성형의 유한요소해석)

  • Hong, Seok-Kwan;Song, Min-Jae;Ko, Young-Bae;Cha, Baeg-Soon
    • Design & Manufacturing
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    • v.12 no.3
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    • pp.5-12
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    • 2018
  • Plastic containers which provides the opportunity to reduce transportation costs are lighter and less brittle than glass containers. As a results, efforts to replace glass with plastic are ongoing. The blow molding method is a typical approach in producing plastic containers. Single-stage injection blow molding (ISBM) is one of the blow molding methods. However, the difficulty in controlling the temperature during the injection molding process is considered its main disadvantage. In this study, ISBM process analysis of relatively thick walled containers such as cosmetic containers is carried out. The initial temperature distribution of the preform is deemed to be the most influential factor in the accuracy of blow molding for the thick vessel. In order to accurately predict this, all heat transfer processes of the preform are considered. The validity of this analytical procedure is verified by comparing the cross-sectional thickness with the actual product. Finally, the validated analytical method is used to evaluate the factors affecting the thickness of the final molded part. The ISBM analysis technique for thick walled vessels developed through this study can be used as an effective predictor for preform design and blow process.

State recognition of fine blanking stamping dies through vibration signal machine learning (진동신호 기계학습을 통한 프레스 금형 상태 인지)

  • Seok-Kwan Hong;Eui-Chul Jeong;Sung-Hee Lee;Ok-Rae Kim;Jong-Deok Kim
    • Design & Manufacturing
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    • v.16 no.4
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    • pp.1-6
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    • 2022
  • Fine blanking is a press processing technology that can process most of the product thickness into a smooth surface with a single stroke. In this fine blanking process, shear is an essential step. The punches and dies used in the shear are subjected to impacts of tens to hundreds of gravitational accelerations, depending on the type and thickness of the material. Therefore, among the components of the fine blanking mold (dies), punches and dies are the parts with the shortest lifespan. In the actual production site, various types of tool damage occur such as wear of the tool as well as sudden punch breakage. In this study, machine learning algorithms were used to predict these problems in advance. The dataset used in this paper consisted of the signal of the vibration sensor installed in the tool and the measured burr size (tool wear). Various features were extracted so that artificial intelligence can learn effectively from signals. It was trained with 5 features with excellent distinguishing performance, and the SVM algorithm performance was the best among 33 learning models. As a result of the research, the vibration signal at the time of imminent tool replacement was matched with an accuracy of more than 85%. It is expected that the results of this research will solve problems such as tool damage due to accidental punch breakage at the production site, and increase in maintenance costs due to prediction errors in punch exchange cycles due to wear.