• Title/Summary/Keyword: Manufacturing technique

Search Result 1,838, Processing Time 0.033 seconds

Verification of Manufacturing Process of PSC Box Girder Bridge Segment by 3D Simulation (3차원 시뮬레이션을 활용한 PSC 박스거더교 세그먼트 제작 공정의 검증)

  • Kim, Min-Seok;Son, Heung-Rak;Lee, Kwang-Myong;Park, Young-Ha;Park, Min-Seok
    • Proceedings of the Computational Structural Engineering Institute Conference
    • /
    • 2008.04a
    • /
    • pp.235-240
    • /
    • 2008
  • PSC box girder bridges are built through the repetitive manufacturing process of concrete segment. However, during the initial segment manufacturing stage, design change may occur frequently due to design errors and interferences between components, resulting in the extension of segment manufacturing period. This paper aims to verify the manufacturing process of PSC box girder segment by 3D simulation technique. All the components of a segment were modelled and assembled by simulation technique and then, some design errors were found and revised appropriately to optimize the manufacturing process of segment. Consequently, 3D simulation technique would be promising to improve the quality of the segment and to reduce its manufacturing time and cost.

  • PDF

The Use of Fuzzy Cognitive Maps for Manufacturing Strategy Formulation (모호인식도를 이용한 생산전략의 수립)

  • 김연민
    • Journal of the Korea Society for Simulation
    • /
    • v.3 no.2
    • /
    • pp.37-47
    • /
    • 1994
  • This paper examines the use of fuzzy cognitive maps to help understand manufacturing strategy processes. This technique is illustrated through a case study of a manufacturing strategy formulation. Advantages of fuzzy cognitive maps are highlighted by comparing the level of understanding before and after the technique was used. The merit from the use of fuzzy cognitive maps for manufacturing strategy formulation is also discussed. (Manufacturing Strategy Formulation, Fuzzy Cognitive Map, Strategy Process Model, Feedback)

  • PDF

A Study on improvements in manufatured technique of all Ceramic Crown (전부도재관 기법 개선에 관한 연구)

  • Shin, Moo-Hak;Kim, Yeon-Soo;Choi, Un-Jea;Chung, Hee-Sun
    • Journal of Technologic Dentistry
    • /
    • v.23 no.2
    • /
    • pp.9-15
    • /
    • 2002
  • A new kind of 'All Ceramic Crown' could be manufactured by making improvements in the manufacturing technique for the current 'All Ceramic Crown' which does not use a special ceramic but rather a general one as a substitute. If we use the manufacturing technique for the 'All Ceramic Crown', metal coping and core are not produced. The effects of the new manufacturing technique for the 'All Ceramic Crown' are as follows: First. We do not need to use new material or special machinery or tools. Second. We can use general machinery and tools. Third. Using the basic 'All Ceramic Technique', we anticipate improvement in learning in our students. Forth. We can save effort, materials and time. Fifth. The technique also has advantages for esthetic 'temporary crown'.

  • PDF

Optimization for high speed manufacturing of Ti-6Al-4V alloy by a selective laser melting technique (SLM 기술을 이용한 Ti-6Al-4V 합금의 고속 적층 공정 최적화 연구)

  • Lee, Kang Pyo;Kim, Kang Min;Kang, Suk Hyun;Han, Jun Hyun;Jung, Kyung Hwan
    • Journal of the Korean Crystal Growth and Crystal Technology
    • /
    • v.28 no.5
    • /
    • pp.217-221
    • /
    • 2018
  • Selective laser melting (SLM) technique is one of the additive manufacturing processes, in which functional, complex parts can be directly manufactured by selective melting layers of powder. SLM technique has received great attention due to offering a facile part-manufacturing route and utilizing a hard-to-manufacturing material (e.g. Ti6Al4V). The SLM process allows the accurate fabrication of near-net shaped parts and the significant reduction in the consumption of raw materials when compared to the traditional manufacturing processes such as casting and/or forging. In this study, we focus the high-speed additive manufacturing of Ti6Al4V parts in the aspect of manufacturing time, controlling various process parameters.

A case of digital maxillary complete denture and mandibular implant overdenture fabricated by CAD-CAM technique (완전 무치악 환자에서 CAD-CAM 기법을 이용한 상악 총의치 및 하악 임플란트 피개의치 수복: 증례 보고)

  • Kim, Kun Min;Oh, Kyung Chul;Kim, Sang Hyun;Han, Chol Gwan;Kim, Jee Hwan
    • The Journal of Korean Academy of Prosthodontics
    • /
    • v.59 no.4
    • /
    • pp.442-450
    • /
    • 2021
  • The CAD-CAM technique is a rapidly developing field in the dental field and is applied to various fields of prosthetic treatment. Among them, the manufacturing of dentures using the milling technique classified as subtractive manufacturing is one of the commercialized digital full denture manufacturing methods. At the same time, it is possible to more efficiently manufacture a metal framework for implant overdenture by selective laser sintering or melting technique classified as an additive manufacturing method. The purpose of this article is to describe the fabrication of CAD-CAM maxillary complete denture and mandibular implant overdenture as well as its features.

A Decision Tree Approach for Identifying Defective Products in the Manufacturing Process

  • Choi, Sungsu;Battulga, Lkhagvadorj;Nasridinov, Aziz;Yoo, Kwan-Hee
    • International Journal of Contents
    • /
    • v.13 no.2
    • /
    • pp.57-65
    • /
    • 2017
  • Recently, due to the significance of Industry 4.0, the manufacturing industry is developing globally. Conventionally, the manufacturing industry generates a large volume of data that is often related to process, line and products. In this paper, we analyzed causes of defective products in the manufacturing process using the decision tree technique, that is a well-known technique used in data mining. We used data collected from the domestic manufacturing industry that includes Manufacturing Execution System (MES), Point of Production (POP), equipment data accumulated directly in equipment, in-process/external air-conditioning sensors and static electricity. We propose to implement a model using C4.5 decision tree algorithm. Specifically, the proposed decision tree model is modeled based on components of a specific part. We propose to identify the state of products, where the defect occurred and compare it with the generated decision tree model to determine the cause of the defect.

Effective Boundary Conditions for FEM Analysis of Composite Laminates (복합재료 적층판의 유한요소 해석을 위한 효율적 경계조건)

  • 김택현
    • Journal of the Korean Society of Manufacturing Technology Engineers
    • /
    • v.7 no.3
    • /
    • pp.92-98
    • /
    • 1998
  • This paper presents three boundary techniques which are useful for FEM analysis of composite laminates: 1) a rotational symmetric boundary technique . 2) a quasi three-dimensional boundary technique and 3) a contact boundary technique. The use of the rotational symmetric boundary technique is possible for a smaller FEM model. With the use of the quasi three-dimensional boundary tecnique. quasi three dimensional analysis of composite laminates can be performed on the conventional 3-D FEM program These techniques can readily be adopted to FEM programs.

  • PDF

Industrial Trends of 3D Printing Technology

  • Park, Sehwan;Park, Jongkyu
    • International Journal of Advanced Culture Technology
    • /
    • v.1 no.1
    • /
    • pp.19-22
    • /
    • 2013
  • The basic principle of the product manufacturing technology using the 3D printing technique materializes the material including the high molecular substance or plastic and metallic dust, and etc. the product into the laminate additive manufacturing according to the design diagram gradually. It is applied to the various industrial field including the field of food division, field of home appliances, field of medicine, field of mechanical department and construction, etc.. The global development case of 3D printing technique is the next. This study described global technology and market trends. Afterward, 3D printing technique manages the important role when it exceeds the product manufacturing view just and is grafted with the various technology including the biotechnology, nanotechnology, and etc. and it improves the quality of the human life.

  • PDF

A review of the application of acoustic emission technique in engineering

  • Gholizadeh, S.;Leman, Z.;Baharudin, B.T.H.T.
    • Structural Engineering and Mechanics
    • /
    • v.54 no.6
    • /
    • pp.1075-1095
    • /
    • 2015
  • The use of acoustic emission (AE) technique for detecting and monitoring damages and the progress on damages in different structures is widely used and has earned a reputation as one of the most reliable and well-established technique in non-destructive testing (NDT). Acoustic Emission is a very efficient and effective technology used for fracture behavior and fatigue detection in metals, fiberglass, wood, composites, ceramics, concrete and plastics. It can also be used for detecting faults and pressure leaks in vessels, tanks, pipes, as well as for monitoring the progression of corrosion in welding. This paper reviews major research developments over the past few years in application of acoustic emission in numerous engineering fields, including manufacturing, civil, aerospace and material engineering.

Defect Type Prediction Method in Manufacturing Process Using Data Mining Technique (데이터마이닝 기법을 이용한 제조 공정내의 불량항목별 예측방법)

  • Byeon Sung-Kyu;Kang Chang-Wook;Sim Seong-Bo
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.27 no.2
    • /
    • pp.10-16
    • /
    • 2004
  • Data mining technique is the exploration and analysis, by automatic or semiautomatic means, of large quantities of data in order to discover meaningful patterns and rules. This paper uses a data mining technique for the prediction of defect types in manufacturing Process. The Purpose of this Paper is to model the recognition of defect type Patterns and Prediction of each defect type before it occurs in manufacturing process. The proposed model consists of data handling, defect type analysis, and defect type prediction stages. The performance measurement shows that it is higher in prediction accuracy than logistic regression model.