• Title/Summary/Keyword: manufacturing methods

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A Study on the Design of Experiment Planning for Quality Improvement in Flow Shop Manufacturing System (흐름생산시스템에서 품질향상을 위한 실험 계획 설계 -이산화망간-리튬 전지의 품질 향상을 중심으로)

  • 박해천;홍남표
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.24 no.63
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    • pp.101-110
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    • 2001
  • This study is concern with the design of experiment planning for quality improvement in flow shop manufacturing system. In this study, the procedure of two stage experiment planning are proposed and applied to the manufacturing process of Li/$MnO_2$ batteries. The result of in this paper is that, compared with the current process conditions, 52% of the insulation inspection process, 81.6% of the first premier discharge process, 98.5% of the second premier discharge process, 84.7% of O.C.V./C.C.V. process, and 86.2% of voltage inspection process are decreased. After a given period of time, the life of the batteries extends to 75 hours, which means the 15% improvement in capacity. In case that the proposed methods are applied to the process Improvements of the flow shop manufacturing system, the much effected in experimental cost- saving and quality improvement.

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Rapid Manufacturing of 3D-Shaped Microstructures by UV Laser Ablation (UV 레이저 어블레이션에 의한 3차원 형상 미세 구조물의 쾌속제작)

  • 신보성;양성빈;장원석;김재구;김정민
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.7
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    • pp.30-36
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    • 2004
  • Recently, the lead-time of a product is to be shortened in order to satisfy consumer's demand. It is thus important to reduce the manufacturing time and the cost of 3D-shaped microstructures. Micro-Electro-Mechanical Systems (MEMS) and devices are usually fabricated by lithography-based methods. Above method is not flexible for the rapid manufacture of 3D-shaped microstructures because it depends on work's experiences and requires excessive cost and time for making many masks. In this paper, the effective laser micrornachining is developed to fabricate UV sensitive polymer microstructures using laser ablation. The proposed process, named by laser microRP, is a very useful method on rapid manufacturing for 3D-shaped microstructures.

International Development Trend and Technical Issues of Metal Additive Manufacturing (금속 적층제조기술의 국내외 개발동향과 기술적 이슈)

  • Kang, Min-Cheol;Ye, Dea-Hee;Go, Geun-Ho
    • Journal of Welding and Joining
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    • v.34 no.4
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    • pp.9-16
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    • 2016
  • Metal parts are produced by conventional methods such as casting, forging and cutting, extrusion, etc. However, nowadays, with additive manufacturing (AM), it is possible to directly commercialize by means of stacking of equipment to the 3D drawing and use of high precision tools such as laser source. Thus, drawing of materials is an important aspect in delivering good products. AM deals with production of lighter aircraft parts and few more three-dimensional molds, it wish to manufacture special medical parts and want to steadily expand the new market area. The cost of related equipment and materials are still expensive and difficult to obtain on a mass production. However, the ability to make changes and lead the innovation in the paradigm of traditional manufacturing process is still effective. In this paper, we introduce metal AM and the principles of the related devices, metal powder production process, and their application.

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.

Quality Prediction Model for Manufacturing Process of Free-Machining 303-series Stainless Steel Small Rolling Wire Rods (쾌삭 303계 스테인리스강 소형 압연 선재 제조 공정의 생산품질 예측 모형)

  • Seo, Seokjun;Kim, Heungseob
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.4
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    • pp.12-22
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    • 2021
  • This article suggests the machine learning model, i.e., classifier, for predicting the production quality of free-machining 303-series stainless steel(STS303) small rolling wire rods according to the operating condition of the manufacturing process. For the development of the classifier, manufacturing data for 37 operating variables were collected from the manufacturing execution system(MES) of Company S, and the 12 types of derived variables were generated based on literature review and interviews with field experts. This research was performed with data preprocessing, exploratory data analysis, feature selection, machine learning modeling, and the evaluation of alternative models. In the preprocessing stage, missing values and outliers are removed, and oversampling using SMOTE(Synthetic oversampling technique) to resolve data imbalance. Features are selected by variable importance of LASSO(Least absolute shrinkage and selection operator) regression, extreme gradient boosting(XGBoost), and random forest models. Finally, logistic regression, support vector machine(SVM), random forest, and XGBoost are developed as a classifier to predict the adequate or defective products with new operating conditions. The optimal hyper-parameters for each model are investigated by the grid search and random search methods based on k-fold cross-validation. As a result of the experiment, XGBoost showed relatively high predictive performance compared to other models with an accuracy of 0.9929, specificity of 0.9372, F1-score of 0.9963, and logarithmic loss of 0.0209. The classifier developed in this study is expected to improve productivity by enabling effective management of the manufacturing process for the STS303 small rolling wire rods.

Reviewing the Applicability of 3D Printing Technology in the Construction Industry (3D 프린팅 기술의 건설 산업 적용가능성 검토)

  • Park, Jinsu;Kim, kyungtaek
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.6
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    • pp.119-124
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    • 2022
  • Recently a method of constructing architectural products using additive manufacturing technology has been proposed. The additive manufacturing technology automates the construction process and it can secure the safety of workers. In addition, due to the high implementation efficiency of atypical shapes, the applicability to the manufacturing process of buildings and infrastructure is drawing attention. Additive manufacturing technology has the ability of satisfying computer-based construction automation, resource management and construction period prediction which is required in the modern construction industry. However, the industrial application is still limited by insufficient data, standards, regulations, and operating methods. In this study, in order to analyze the applicability of architectural additive manufacturing technology, we manufacture each architectural product with two additive manufacturing systems. In addition, we apply an application of each building product into an appropriate manufacturing system through the AM production decision model. And identify problems in the manufacturing process through empirical experiments. As a result, we propose an extended additive production decision model to improve the quality of building products.

A Study on Manufacturing of Korean Sauce Described in "Jeungbosallimgyeongje" ("증보산림경제"의 장류(醬類) 조리 가공에 관한 연구)

  • 김성미;이춘자
    • Journal of the East Asian Society of Dietary Life
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    • v.14 no.3
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    • pp.175-186
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    • 2004
  • The “Jeungbosallimgyeongje” was literature reviewed about the manufacture of Korean sauces. Furthermore, in order to investigate the changes made by time period, other literatures, “Eumsigdimibang(1670s)”, “Sallimgyeongje(1715)”, “Gyuhapchongseo(1815)” and “Choson­mussangyorijebeop(1930)”, were compared. The ingredients mentioned included soy beans, flour, barley, elm trees, red beans and blue beans, etc. In addition, the shapes and sizes of dried soybean paste brick were varied. “Manchojang”, which designated the kind of hot pepper paste, appeared in this book for the first time. During its manufacturing process, it was characteristic to add dried bean paste, sea kelp and fish to produce a novel and higher quality product. From the above mentioned books, we found out that Koreans used only the soybeans and Chinese a mixture of buckwheat, flour and barley in addition to soybeans to make their traditional sauces. According to the“ Gyuhapchongseo” , there was a slight difference in ingredients to add for the manufacture of fish sauce, but the manufacturing methods and the one year period needed for maturing the ingredients were the same.. However, in the “Chosonmussangsinsikyrijebop”, fish sauce and meat sauce were classified separately and their manufacturing methods were different as well. In conclusion, the ingredients of used for the sauces recorded in “Jeungbosallimgyeongje” were various and at first hot pepper sauce made from “Manchojang” appeared and additionally red peppers were added to five kinds of Korean paste and red pepper powder were added to two kinds of Korean paste. The manufacturing method of the sauces changed according to time period, for example, only soybean has been used in Korean traditional sauces and other ingredients used as for Chinese ones eventually disappeared.

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Analysis of re-bar manufacturing system in plant and its facilitate method (철근공사의 공장가공 현황분석과 활성화 방안)

  • Cho, Hun-Hee;Kang, Tai-Kyung;Park, Hyun-Yong;Yun, Seok-Heon;Hur, Young-Ki;Park, U-Yeol
    • Korean Journal of Construction Engineering and Management
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    • v.8 no.1 s.35
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    • pp.57-65
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    • 2007
  • Rebar work is a labor intensive operation, and with labor shortage and high-wage era, the cost is rising, so re-bar manufacturing system in plant is adapted. However there remains a lot of problems. Although manufacturing system in plant, which greatly effects the building's safety, endurance, and construction time, is an important phase in construction, it holds serious problem of quality and productivity deterioration due to its characteristic of intensive-labor and maintaining of old work methods resulting in poor management, and costs increase. Therefor in this study to investigate current situation and problems of rebar work in plant and to find methods of betterment, a survey was conducted to factory engineers in 18 companies.

Evaluation of marginal discrepancy of pressable ceramic veneer fabricated using CAD/CAM system: Additive and subtractive manufacturing

  • Kang, Seen-Young;Lee, Ha-Na;Kim, Ji-Hwan;Kim, Woong-Chul
    • The Journal of Advanced Prosthodontics
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    • v.10 no.5
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    • pp.347-353
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    • 2018
  • PURPOSE. The purpose of this study was to evaluate the marginal discrepancy of heat-pressed ceramic veneers manufactured using a CAD/CAM system. MATERIALS AND METHODS. The ceramic veneers for the abutment of a maxillary left central incisor were designed using a CAD/CAM software program. Ten veneers using a microstereolithography apparatus (AM group), ten veneers using a five-axis milling machine (SM group), and ten veneers using a traditional free-hand wax technique (TW group) were prepared according to the respective manufacturing method. The ceramic veneers were also fabricated using a heat-press technique, and a silicone replica was used to measure their marginal discrepancy. The marginal discrepancies were measured using a digital microscope (${\times}160$ magnification). The data were analyzed using a nonparametric Kruskal-Wallis H test. Finally, post-hoc comparisons were conducted using Bonferroni-corrected Mann-Whitney U tests (${\alpha}=.05$). RESULTS. The $mean{\pm}SD$ of the total marginal discrepancy was $99.68{\pm}28.01{\mu}m$ for the AM group, $76.60{\pm}28.76{\mu}m$ for the SM group, and $83.08{\pm}39.74{\mu}m$ for the TW group. There were significant differences in the total marginal discrepancies of the ceramic veneers (P<.05). CONCLUSION. The SM group showed a better fit than the AM and TW groups. However, all values were within the clinical tolerance. Therefore, CAD/CAM manufacturing methods can replace the traditional free-hand wax technique.

Review on Rice Flour Manufacturing and Utilization

  • Kim, Myoung Ho
    • Journal of Biosystems Engineering
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    • v.38 no.2
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    • pp.103-112
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    • 2013
  • Background: The Korean government launched a project in 2008, where the amount of rice used as raw ingredient in rice-based foods in 2012 was planned to increase up to 10% (470,000 ton) of the total rice production through developing various new rice-based processed foods and their commercial manufacturing technology. Among the four major rice-based processed foods, rice cakes and noodles need rice flour as their main raw ingredient. Technology in rice flour utilization and manufacturing is far behind than the technology pertinent to wheat flour in many subject areas. Purpose: This review aims to provide information on rice flour utilization and manufacturing with some fundamental subjects in the area of size reduction. Results: A variety of food items including bread, noodle, cake, cookie, muffin, pre-mix, beverage, vinegar, surimi, and artificial meat have found rice flour as their raw ingredient. Rice bread made out of 100% rice flour has been developed and is now sold in retail stores. Various noodle products made from rice flour are also on the market. Issues on product definition and labeling regulation about rice flour content of the products were explored. Generalized grinding equations available in the literature were seldom used in practice; instead, it has been a general practice to develop empirical equations from test milling data. Introductory remarks on three popular particle size measurement methods (sieving, Coulter counter, light diffraction) were explained. Mathematical expressions frequently used to describe particle size distribution and to correlate cumulative quantity of particles with particle size were represented. Milling methods used in producing rice flour were described along with their advantages and disadvantages. Because of their profound effect on functional properties of the rice flour, four rice flour milling equipments used at both laboratory experiments and commercial manufacturing plants were discussed.