• Title/Summary/Keyword: Smart Manufacturing

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Formulation and evaluation a finite element model for free vibration and buckling behaviours of functionally graded porous (FGP) beams

  • Abdelhak Mesbah;Zakaria Belabed;Khaled Amara;Abdelouahed Tounsi;Abdelmoumen A. Bousahla;Fouad Bourada
    • Structural Engineering and Mechanics
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    • v.86 no.3
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    • pp.291-309
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    • 2023
  • This paper addresses the finite element modeling of functionally graded porous (FGP) beams for free vibration and buckling behaviour cases. The formulated finite element is based on simple and efficient higher order shear deformation theory. The key feature of this formulation is that it deals with Euler-Bernoulli beam theory with only three unknowns without requiring any shear correction factor. In fact, the presented two-noded beam element has three degrees of freedom per node, and the discrete model guarantees the interelement continuity by using both C0 and C1 continuities for the displacement field and its first derivative shape functions, respectively. The weak form of the governing equations is obtained from the Hamilton principle of FGP beams to generate the elementary stiffness, geometric, and mass matrices. By deploying the isoparametric coordinate system, the derived elementary matrices are computed using the Gauss quadrature rule. To overcome the shear-locking phenomenon, the reduced integration technique is used for the shear strain energy. Furthermore, the effect of porosity distribution patterns on the free vibration and buckling behaviours of porous functionally graded beams in various parameters is investigated. The obtained results extend and improve those predicted previously by alternative existing theories, in which significant parameters such as material distribution, geometrical configuration, boundary conditions, and porosity distributions are considered and discussed in detailed numerical comparisons. Determining the impacts of these parameters on natural frequencies and critical buckling loads play an essential role in the manufacturing process of such materials and their related mechanical modeling in aerospace, nuclear, civil, and other structures.

Effect of Modified Atmosphere Packaging on Shelf-Life Extension of Raw Oysters Crassostrea gigas (기체 치환 포장(Modified Atmosphere Packaging)에 의한 생굴(Crassostrea gigas)의 저장성 연장)

  • Du-Min Jo;Do-Ha Lee;Seul-Ki Park;Do Kyung Oh;Kyung-Jin Cho;Dong-Hoon Won;Geon-Woo Park;Mi-Ru Song;Ye-Bin Jang;So-Yeon Noh;Young-Mog Kim
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.56 no.4
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    • pp.512-519
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    • 2023
  • Pacific oysters Crassostrea gigas are a popular shellfish in the Republic of Korea. However, due to their abundant moisture and nutrient content, oysters are susceptible to microbiological growth and biochemical changes, which lead to quality degradation. Therefore, the present study aimed to investigate the effectiveness of modified atmosphere packaging (MAP) in maintaining the quality of raw oysters during storage. Microbiological and physicochemical parameters such as pH, glycogen content, soluble protein, turbidity, and volatile basic nitrogen (VBN) were analyzed for oysters stored under various gas compositions and storage periods. The results showed that there was no significant increase in viable cell count in MAP oysters after six days in MAP oysters. Moreover, the physicochemical quality of non-MAP oysters deteriorated rapidly, whereas the quality of MAP oysters were maintained during storage. This study suggests that MAP can be an effective technique for maintaining the freshness of raw oysters during distribution and storage, and may also be useful for extending the shelf-life and maintaining the quality of other seafood products.

Machine Tool State Monitoring Using Hierarchical Convolution Neural Network (계층적 컨볼루션 신경망을 이용한 공작기계의 공구 상태 진단)

  • Kyeong-Min Lee
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.2
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    • pp.84-90
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    • 2022
  • Machine tool state monitoring is a process that automatically detects the states of machine. In the manufacturing process, the efficiency of machining and the quality of the product are affected by the condition of the tool. Wear and broken tools can cause more serious problems in process performance and lower product quality. Therefore, it is necessary to develop a system to prevent tool wear and damage during the process so that the tool can be replaced in a timely manner. This paper proposes a method for diagnosing five tool states using a deep learning-based hierarchical convolutional neural network to change tools at the right time. The one-dimensional acoustic signal generated when the machine cuts the workpiece is converted into a frequency-based power spectral density two-dimensional image and use as an input for a convolutional neural network. The learning model diagnoses five tool states through three hierarchical steps. The proposed method showed high accuracy compared to the conventional method. In addition, it will be able to be utilized in a smart factory fault diagnosis system that can monitor various machine tools through real-time connecting.

A Study on The Development of High-Efficiency Transmitting and Receiving Coils For Wireless Charging of Drones (드론 무선 충전을 위한 고효율 송, 수신 코일 개발에 관한 연구)

  • Lim, Jong-Gyun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.2
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    • pp.213-218
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    • 2022
  • In this paper, a technology for a high-efficiency wireless power transmission transmitting and receiving coil that can wirelessly charge a drone is introduced. The drone station implements the ability to charge the battery wirelessly without the need to remove the battery to charge the drone's battery. In order to charge the drone's battery in the shortest time, wireless charging efficiency must be high. In order to increase the wireless charging efficiency of the drone station, a method for manufacturing high-efficiency transmitting and receiving coils and a performance measurement method are presented. Transmitting and receiving coils were manufactured considering the size and weight of the drone so as not to interfere with the flight of the drone. Efficiency of 88% or more was realized at a distance of 40mm or more between the transmitting and receiving coils.

Numerical Study of Forced Convection Nanofluid in a U-Bend Tube (U-밴드 관 내부 나노유체의 강제대류에 관한 수치적 연구)

  • Jo, Sung-Won;Choi, Hoon-Ki;Park, Yong-Gap
    • Journal of Convergence for Information Technology
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    • v.12 no.3
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    • pp.141-150
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    • 2022
  • Fluid flow and thermal characteristics of laminar nanofluid(water/Al2O3) flow in a circular U-bend tube have been studied numerically. In this study, the effect of Reynolds number and the solid volume fraction and the impact of the U-bend on the flow field, the heat transfer and pressure drop was investigated. Comparisons with previously published experimental works on horizontal curved tubes show good agreements between the results. Heat transfer coefficient increases by increasing the solid volume fraction of nanoparticles as well as Reynolds number. Also, the presence of the secondary flow in the curve plays a key role in increasing the average heat transfer coefficient. However, the pressure drop curve increases significantly in the tubes with the increase in nanoparticles volume fraction.

Effect of Immersion Solution Composition and Duration on the Re-moisturization of Dried Flying Fish Cypselurus agoo Roe (날치(Cypselurus agoo) 건조 어란의 수분함량 복원을 위한 침지액의 효과)

  • Seul-Ki Park;Yeon-Ju Sim;Jeong-Bin Jo;Kyung-Jin Cho;Du-Min Jo;So-Yeon Noh;Ye-Bin Jang;Mi-Ru Song;Young-Mog Kim
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.56 no.3
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    • pp.347-351
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    • 2023
  • Flying fish Cypselurus agoo roe is a popular food ingredient due to its abundant nutrition, unique texture, and flavor. It contains high levels of polyunsaturated fatty acids, protein, and minerals such as calcium, phosphorus, potassium, and vitamins (A, B1, B2, B6, and niacin), making it a highly utilized food ingredient. Additionally, it is widely used as a raw material for food and cooking in several countries. After harvesting, flying fish roe is dried and transported to processing plants, where it performed a re-moisturizing process. However, the conventional re-moisturizing process is time-consuming and results in some loss of quality. Thus, this study investigates the conditions required for the re-moisturization of flying fish roe including the composition of the immersion solution, immersion time, and conditions that could minimize damage to the roe. The results suggest a reasonable composition of immersion solution to minimize damage to flying fish roe and the most appropriate immersion time for re-moisturization. These results may provide valuable insights for the industry to enhance the quality of re-moisturized flying fish roe, leading to an increase in its market value and demand.

Evaluation of cryogenic mechanical properties of aluminum alloy using small punch test

  • Hojun Cha;Seungmin Jeon;Donghyeon Yoon;Jisung Yoo;Seunggun Lee;Seokho Kim
    • Progress in Superconductivity and Cryogenics
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    • v.25 no.4
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    • pp.70-74
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    • 2023
  • The Small Punch Test (SPT) was developed to evaluate the softening and embrittlement of materials such as power plants and nuclear fusion reactors by taking samples in the field. Specimens used in the SPT are very thin and small disk-shaped compared to specimens for general tensile test, and thus have economic advantages in terms of miniaturization and repeatability of the test. The cryogenic SPT can also be miniaturized and has a significantly lower heat capacity than conventional universal test machines. This leads to reduced cooling and warm-up times. In this study, the cryogenic SPT was developed by modifying the existing room temperature SPT to be cooled by liquid nitrogen using a super bellows and a thermal insulation structure. Since the cryogenic SPT was first developed, basic experiments were conducted to verify the effectiveness of it. For the validation, aluminum alloy 6061- T6 specimens were tested for mechanical properties at room and cryogenic temperature. The results of the corrected tensile properties from the SPT experiment results were compared with known room temperature and cryogenic properties. Based on the correction results, the effectiveness of the cryogenic SPT test was confirmed, and the surface fracture characteristics of the material were analyzed using a 3d image scanner. In the future, we plan to conduct property evaluation according to the development of various alloy materials.

Extending Raw Pacific Oyster Crassostrea gigas Shelf-life by Addition of the Natural Food Additives (천연 추출물 첨가에 의한 생굴(Crassostrea gigas)의 식품학적 품질 유지)

  • DoKyung Oh;Do-Ha Lee;Du-Min Jo;Kyung-Jin Cho;Seul-Ki Park;Yeon-Ju Sim;Jeong-Bin Jo;Jae-Ho Woon;Young-Mog Kim
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.56 no.6
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    • pp.810-817
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    • 2023
  • Oysters are a highly consumed seafood throughout Korea, but they have a short shelf life because they support rapid microbial growth due to their of high moisture content and fragile muscle tissue. We examined natural food additives including lactic acid bacteria fermentation powder, rosemary extract, and lemon juice for their ability to preserve raw oyster Crassostrea gigas quality. Samples were stored at 4℃, and microbiological and physicochemical analyses were conducted. Among the natural additives tested, lemon juice was the most effective. Lemon juice was thus applied at different concentrations (50-300 ppm) to quantitatively assess its effect on total viable cell count, pH, glycogen, soluble protein, and turbidity. 200 ppm was confirmed to be optimal, and is projected to extend shelf life by 2 days compared to the control group.

A Study on Unstructured text data Post-processing Methodology using Stopword Thesaurus (불용어 시소러스를 이용한 비정형 텍스트 데이터 후처리 방법론에 관한 연구)

  • Won-Jo Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.935-940
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    • 2023
  • Most text data collected through web scraping for artificial intelligence and big data analysis is generally large and unstructured, so a purification process is required for big data analysis. The process becomes structured data that can be analyzed through a heuristic pre-processing refining step and a post-processing machine refining step. Therefore, in this study, in the post-processing machine refining process, the Korean dictionary and the stopword dictionary are used to extract vocabularies for frequency analysis for word cloud analysis. In this process, "user-defined stopwords" are used to efficiently remove stopwords that were not removed. We propose a methodology for applying the "thesaurus" and examine the pros and cons of the proposed refining method through a case analysis using the "user-defined stop word thesaurus" technique proposed to complement the problems of the existing "stop word dictionary" method with R's word cloud technique. We present comparative verification and suggest the effectiveness of practical application of the proposed methodology.

Development of a Work Environment Monitoring System for Improving HSE and Production Information Management Within a Shipyard Based on Wireless Communication (무선 통신 기반 조선소 내 HSE 및 생산정보 관리 향상을 위한 작업환경 모니터링 시스템 개발)

  • Chunsik Shim;Jaeseon Yum;Kangho Kim;Daseul Jeong;Hwanseok Gim;Donggeon Kim;Donghyun Lee;Yerin Cho;Byeonghwa Kim
    • Journal of the Society of Naval Architects of Korea
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    • v.60 no.5
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    • pp.367-374
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    • 2023
  • As the Fourth Industrial Revolution accelerating, countries worldwide are developing technologies to digitize and automate various industrial sectors. Building smart factories not only reduces costs through improved process productivity but also allows for preemptive identification and removal of risk factors through the practice of Health, Safety, and Environment (HSE) management, thereby reducing industrial accident risks. In this study, we visualized pressure, temperature, power, and wind speed data measured in real-time via a monitoring GUI, enabling field managers and workers to easily access related information. Through the work environment monitoring system developed in this study, it is possible to conduct economic analysis on per-unit basis, based on the digitization of production management elements and the tracking of required resources. By implementing HSE in shipyards, potential risk factors can be improved, and gas and electrical leaks can be identified, which are expected to reduce production costs.