• Title/Summary/Keyword: Manufacturing Techniques

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A Study on Cutting Characteristic of Tapered Groove in Turning (선삭가공에서의 테이퍼 홈 절삭특성에 관한 연구)

  • Choi, Chi-Hyuk;Kim, Dong-Hyeon;Lee, Choon-Man
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.10 no.6
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    • pp.27-32
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    • 2011
  • In recently, it is demanded development of manufacturing techniques for machining of various mechanical parts. Therefore the development of turning is one of the important manufacturing techniques. In this study, an experimental shape in tapered groove turning was suggested, and the turning process was investigated by analyzing cutting speed, feed rate, tapered angle, depth of cut. The surface roughness and cutting force change in the workpiece was measured. From the results, the optimum machining conditions are obtained by design of experiments.

An Integrated Simulation Method to Support Virtual Factory Engineering

  • Zhai, Wenbin;Fan, Xiumin;Yan, Juanqi;Zhu, Pengsheng
    • International Journal of CAD/CAM
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    • v.2 no.1
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    • pp.39-44
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    • 2002
  • This paper presents a structure and architecture of an integrated simulation method (ISM) to meet the requirements of virtual factory engineering (VFE). Combining CAD, VR and discrete event simulation techniques, the ISM provides static and dynamic simulation functions for implementation of VFE throughout the lifecycle. The static simulation can be used to evaluate the factory layout. The dynamic simulation enables us to evaluate ergonomics of factory, process performance of production system, feasibility of production plan and operation of factory, and to train operators safely, which cover the whole VFE lifecycle. The principles of the key techniques of VFE, including virtual factory data management system (VFDMS), static and dynamic simulation, are also discussed. To demonstrate and validate the ISM, a case study has been carried out in an assembly factory.

A Study on Outlier Detection in Smart Manufacturing Applications

  • Kim, Jeong-Hun;Chuluunsaikhan, Tserenpurev;Nasridinov, Aziz
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.10a
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    • pp.760-761
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    • 2019
  • Smart manufacturing is a process of integrating computer-related technologies in production and by doing so, achieving more efficient production management. The recent development of supercomputers has led to the broad utilization of artificial intelligence (AI) and machine learning techniques useful in predicting specific patterns. Despite the usefulness of AI and machine learning techniques in smart manufacturing processes, there are many fundamental issues with the direct deployment of these technologies related to data management. In this paper, we focus on solving the outlier detection issue in smart manufacturing applications. More specifically, we apply a state-of-the-art outlier detection technique, called Elliptic Envelope, to detect anomalies in simulation-based collected data.

Techniques and Traditional Knowledge of the Korean Onggi Potter (옹기장인의 옹기제작기술과 전통지식)

  • Kim, Jae-Ho
    • Korean Journal of Heritage: History & Science
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    • v.48 no.2
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    • pp.142-157
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    • 2015
  • This study examines how traditional knowledge functions in the specific techniques to make pottery in terms of the traditional knowledge on the pottery techniques of Onggi potters. It focuses on how traditional pottery manufacturing skills are categorized and what aspects are observed with regard to the techniques. The pottery manufacturing process is divided into the preparation step of raw material, the molding step of pottery, and the final plasticity step. Each step involves unique traditional knowledge. The preparation step mainly comprises the knowledge on different kinds of mud. The knowledge is about the colors and properties of mud, the information on the regional distribution of quality mud, and the techniques to optimize mud for pottery manufacturing. The molding step mainly involves the structure and shape of spinning wheels, the techniques to accumulate mud, ways to use different kinds of tools, the techniques to dry processed pottery. The plasticity step involves the knowledge on kilns and the scheme to build kilns, the skills to stack pottery inside of the kilns, the knowledge on firewood and efficient ways of wood burning, the discrimination of different kinds of fire and the techniques to stoke the kilns. These different kinds of knowledge may be roughly divided into three categories : the preparation of raw material, molding, and plasticity. They are closely connected with one another, which is because it becomes difficult to manufacture quality pottery even with only one incorrect factor. The contents of knowledge involved in the manufacturing process of pottery focused are mainly about raw material, color, shape, distribution aspect, fusion point, durability, physical property, etc, which are all about science. They are rather obtained through the experimental learning process of apprenticeship, not through the official education. It is not easy to categorize the knowledge involved. Most of the knowledge can be understood in the category of ethnoscience. In terms of the UNESCO world heritage of intangible cultural assets, the knowledge is mainly about 'the knowledge on nature and universe'. Unique knowledge and skills are, however, identified in the molding step. They can be referred to 'body techniques', which unify the physical stance of potters, tools they employ, and the conceived pottery. Potters themselves find it difficult to articulate the knowledge. In case stated, it cannot be easily understood without the experience and knowledge on the field. From the preparation of raw material to the complete products, the techniques and traditional knowledge involved in the process of manufacturing pottery are closely connected, employing numerous categories and levels. Such an aspect can be referred to as a 'techniques chain'. Here the techniques mean not only the scientific techniques but also, in addition to the skills, the knowledge of various techniques and levels including habitual, unconscious behaviors of potters.

A Study on the Evaluation of JIT Operational Techniques in the Domestic Industries -Using Compatibility in the AHP- (국내기업에서의 JIT 운용기법 중요성 평가에 관한 연구 -Compatibility를 이용한 AHP를 중심으로-)

  • 구일섭;임익성;김태성
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.21 no.48
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    • pp.241-251
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    • 1998
  • The purpose of this study is to evaluate the relative importance of seven JIT operational techniques in Domestic industries. These techniques are used to improve manufacturing effectiveness and efficiency such as : Setup time reduction, Kanban, Multi-functional worker, U type layout, Andon(line stop), Atonomation, and Smoothing production. The new analytic hierarchy process(AHP) model is used in order to evaluate the relative importance of the seven JIT operational techniques which are used to increase the manufacturing effectiveness and efficiency. To aggregate the multi-divisions priorities, in this paper, we suggest a way which decision maker can exclude outlier matrix from group by using the concept of the compatibility in AHP.

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Determination of an optimal operation condition in continuous manufacturing process (일관제조공정에서의 최적 조업조건의 도출)

  • 김윤호;최해운
    • Korean Management Science Review
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    • v.10 no.2
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    • pp.111-120
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    • 1993
  • The most important factors for a product to survive in the market are cost and quality. In recent years, quality proceeds to cost. There are many techniques of use to improve the quality of a product. One of the techniques is applying statistical methods (especially Taguchi method) to real operational conditions for a continuous manufacturing process in P company. There are 91 factors to control in the process. So, we predetermined 7 main effect factors and 6 interactive effect factors by statistical methods and advices of engineers. With these 13 factors, we determined the optimal level of operations for the process.

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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
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    • v.7 no.3
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    • pp.92-98
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    • 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.

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Structure of Deposition Chamber using Belt Source Evaporation Techniques in AMOLED Manufacturing

  • Hwang, Chang-Hun
    • 한국정보디스플레이학회:학술대회논문집
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    • 2007.08a
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    • pp.186-189
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    • 2007
  • The organic deposition chamber has been developed using belt source evaporation techniques for the first time. The deposition chamber is consisted of the belt source, organic vapor source, and the mask alignment assembly. The rollers operate for the thin metal belt to continuously move with the automatic tension control. It has been proved for the belt source evaporation easy to operate and the alignment of the substrate/shadow mask becomes so simple to use in AMOLED manufacturing industry.

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Analyzing Production Data using Data Mining Techniques (데이터마이닝 기법의 생산공정데이터에의 적용)

  • Lee H.W.;Lee G.A.;Choi S.;Bae K.W.;Bae S.M.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.143-146
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    • 2005
  • Many data mining techniques have been proved useful in revealing important patterns from large data sets. Especially, data mining techniques play an important role in a customer data analysis in a financial industry and an electronic commerce. Also, there are many data mining related research papers in a semiconductor industry and an automotive industry. In addition, data mining techniques are applied to the bioinformatics area. To satisfy customers' various requirements, each industry should develop new processes with more accurate production criteria. Also, they spend more money to guarantee their products' quality. In this manner, we apply data mining techniques to the production-related data such as a test data, a field claim data, and POP (point of production) data in the automotive parts industry. Data collection and transformation techniques should be applied to enhance the analysis results. Also, we classify various types of manufacturing processes and proposed an analysis scheme according to the type of manufacturing process. As a result, we could find inter- or intra-process relationships and critical features to monitor the current status of the each process. Finally, it helps an industry to raise their profit and reduce their failure cost.

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홀로닉 생산시스템을 위한 일정계획 모델

  • 이용수;이영해;전성진
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1994.10a
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    • pp.701-706
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    • 1994
  • Holonic manufacturing system is a new approachto the organization and architecture of decentralized, autonomous and cooperative manufacturing system. The new paradigm combines the concepts of hierarchical systems and the integration of autonomous elements in distributed system. Today's scheduling and control techniques are mostly based on a centralized structure. Only little work has been done on scheduling and control of decentralized, autonomous and cooperative manufacturing system. This paper proposes a new approach IPM(Interactive Prediction Method) for scheduling and control of holonic manufacturing system.

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