• Title/Summary/Keyword: Manufacturing machine

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Object Detection of AGV in Manufacturing Plants using Deep Learning (딥러닝 기반 제조 공장 내 AGV 객체 인식에 대한 연구)

  • Lee, Gil-Won;Lee, Hwally;Cheong, Hee-Woon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.1
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    • pp.36-43
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    • 2021
  • In this research, the accuracy of YOLO v3 algorithm in object detection during AGV (Automated Guided Vehicle) operation was investigated. First of all, AGV with 2D LiDAR and stereo camera was prepared. AGV was driven along the route scanned with SLAM (Simultaneous Localization and Mapping) using 2D LiDAR while front objects were detected through stereo camera. In order to evaluate the accuracy of YOLO v3 algorithm, recall, AP (Average Precision), and mAP (mean Average Precision) of the algorithm were measured with a degree of machine learning. Experimental results show that mAP, precision, and recall are improved by 10%, 6.8%, and 16.4%, respectively, when YOLO v3 is fitted with 4000 training dataset and 500 testing dataset which were collected through online search and is trained additionally with 1200 dataset collected from the stereo camera on AGV.

The Evaluation of Structural Safety of Impeller Using FEM Simulation (FEM 시뮬레이션을 이용한 임펠러의 구조 안전성 평가)

  • Jung, Jong Yun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.43 no.4
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    • pp.41-47
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    • 2020
  • As modern industries are highly being developed, it is required that mechanical parts have to be manufactured with a high precision. In order to have precise parts, error-free designs have to be done before manufacturing with accuracy. For this intention being fulfilled, a mechanical analysis is essential for design proof. Nowadays, FEM simulation is a popular tool for verifying a machine design. In this paper, an impeller, being utilized in a compressor or an oil mixer as an actuator, is studied for an evaluation. The purpose of this study is to present a safety of an impeller for a proof of its mechanical stability. A static analysis for stress, strain, and deformation within a regular usage is examined. This simulation test shows 357.26×106 Pa for maximum equivalent stress and 0.207mm for total deformation. A fatigue test is carried to provide durability and its result shows that minimum safety factor is 3.2889, which guarantees that it runs without a fatigue failure in 106 cycles. The natural frequencies for the impeller is ranged from 228.09Hz to 1,253.6Hz for the 1st to the 6th mode. Total deformations at these natural frequencies are shown from 6.84mm to 12.631mm. Furthermore, Campbell diagram reveals that a critical speed is not found throughout regular rotational speeds. From the test results for the analysis, this paper concludes that the suggested impeller is proved for its mechanical safety and good to utilize at industries.

Experimental Analysis for Core Losses Prediction in Electric Machines by Using Soft Magnetic Composite (복합 연자성 소재의 전동기 코어손실 예측을 위한 실험적 분석)

  • Park, Eui-Jong;Kim, Yong-Jae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.3
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    • pp.471-476
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    • 2021
  • Soft magnetic composite (SMC) materials based on powder metallurgy have a number of advantages over the conventional electrical steel sheets commonly used in electric machines. Thus, technologies related to these materials have shown significant improvement in recent years. In general, SMCs are magnetically isotropic owing to the shape of the powder, which makes them suitable for the construction of electric machines with three-dimensional flux and complex structures. However, the materials with isotropic magnetic properties (such as SMCs) have complex vector hysteresis; thus, it is very difficult to predict accurate loss properties. Therefore, we manufactured ring-type specimens of electrical steel sheets and SMC, which analyzed their magnetic properties according to the specimen size, and performed the electromagnetic field analysis of a high-speed permanent magnet (PM) motor driven at 800 Hz or higher using the measured magnetic information to compare the core loss of the motor. The reliability of this paper has been verified by measuring the efficiency after manufacturing the motor.

Discussion on the Concept of Terminology in the Introduction of Virtual Studio (가상스튜디오 도입기의 용어 개념에 관한 논의)

  • Nah, So-Mi
    • Journal of Convergence for Information Technology
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    • v.12 no.1
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    • pp.91-98
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    • 2022
  • Currently, new terms are overflowing with the development of technology from VR, AR, XR to Metaverse. Every time a term is generated in this way, society considers it a new technology and tends to use it enthusiastically, but there is confusion in correctly understanding and utilizing the category of the term. He would like to discuss the virtual studio that played an important role in the development of broadcasting CG (Computer Graphics) technology in the 1990s, and talk about the introduction of new terms in the past and how to use them. Therefore, this paper examines the gap between chaos and upright each time a term is generated based on the time when the virtual studio is introduced, and analyzes the utilization of new technology from the past through the introduction machine manufacturing case. By examining the past technological development processes expressed by remediation, this paper argues that the current situation is not a new technology but an expression of a new term, that is, a phenomenon that appears during the gradual development of technology. It is something to do.

Component and surface residue observation of barrel finishing media for grinding dental resins (치과용 레진 연마를 위한 바렐 연마재의 성분 분석 및 표면 잔류물 관찰)

  • Jung, An-Na;Park, Yu-Jin;Choi, Sung-Min
    • Journal of Technologic Dentistry
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    • v.43 no.4
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    • pp.145-152
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    • 2021
  • Purpose: This study aimed to produce resin prosthetics using a dental barrel finishing machine. For dental resin grinding, the ingredients of the barrel finishing media were analyzed, and surface residues of the resin were observed. Methods: Two types of barrel finishing media for dental resin grinding were tested. Specimens were made from thermal polymerized, auto polymerized, and photopolymerized resins. Finishing media were analyzed through energy-dispersive X-ray spectroscopy (EDS) component analysis and inductively coupled plasma-optical emission spectrometry (ICP-OES) component analysis. Then, the prepared specimen was barrel finished for 25 minutes using two types of barrel finishing media, and scanning electron microscope was photographed to observe the surface residues. Results: As a result of EDS component analysis, both types of finishing media were analyzed for the components of C, O, Zr and Al elements, and industry media (IM) was further analyzed for the components of Si and Mg elements. In the ICP-OES component analysis, Cd and As, which are harmful elements, were detected in IM, and no harmful elements were detected in manufacturing media (MM). Because of observation of surface residues, no residues were observed in the three types of resin specimens that were barrel finished with two types of finishing media. Conclusion: Surface residue wasn't observed on the specimens polished using two types of finishing media. However, in IM, Cd and As, which are harmful elements, were detected, making it inappropriate for clinical use. In MM, harmful elements were not detected; therefore, clinical use will be possible.

Study of Optimal Weaving Shape according to Formability and Mechanical Properties of Polyethylene-based Self-reinforced Composite (폴리에틸렌 기반 자기강화복합재료의 성형성 및 기계적 특성에 따른 최적 제직형상 수치해석적 연구)

  • Yu, Seong-hun;Lee, Pil Gyu;Lee, Jong-hyuk;Kim, neul sae rom;Sim, Jee-hyun
    • Textile Coloration and Finishing
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    • v.34 no.1
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    • pp.58-67
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    • 2022
  • In this study, self-reinforced composite(SRC) was prepared using HDPE(High density polyethylene) fabric(2×2 plain) and LDPE(Low density polyethylene) film. The optimal conditions were derived by manufacturing specimens according to the temperature of 100 ~ 140℃ using a hot stamping at a pressure of 100bar for 10 minutes in order to find the optimal conditions for the SRC. The manufactured SRC was analyzed for tensile properties, compressive strength and shear strength through a universal testing machine(UTM). As a result of the measurement, the P3 specimen prepared by hot stamping at a temperature of 130℃ and a pressure of 100bar for 10 minutes was found to be higher than other specimens with tensile strength and tensile modulus of 210MPa and 19GPa, compressive strength 69MPa and shear strength 13MPa and it was considered to be optimal condition. Finally, the composite material according to the fabric structure was modeled using experimental values and the physical properties of the composite material according to the fabric structure were predicted using GeoDict and Digimat.

An Empirical Formulation for Predicting the Thickness of Multilayer PCB (다층 PCB의 두께 예측을 위한 실험식 도출 연구)

  • Kim, Nam-Hoon;Han, Gwan-Hee;Lee, Min-Su;Kim, Hyun-Ho;Shin, Kwang-Bok
    • Composites Research
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    • v.35 no.3
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    • pp.182-187
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    • 2022
  • In this paper, the thickness of a multilayer PCB was predicted through an empirical formulation based on the physical properties of the prepreg used in multilayer PCB. Since the thickness of prepreg reduction when manufacturing a PCB due to the physical properties and copper foil residual rate, it is necessary to accurately predict the thickness of the PCB through the thickness empirical formulation. To determine the density of the prepreg, the mass and thickness of the prepreg were measured. To manufacture the CCL, the prepreg and copper foil were laminated using a hot press machine, and the thickness was measured using a microscope and micrometer. An 8-layerd PCB was designed with different circuit densities to measure the change in the thickness with the copper foil residual ratio, and the proposed empirical formulation was verified by comparing the measured thickness with the value obtained using the empirical formulation. As a result, the errors for the CCL and multilayer PCB were 2.56% and 4.48%, respectively, which demonstrated the reliability of the empirical formulation.

Comparative evaluation of shear bond strength of orthodontic brackets bonded to three-dimensionally-printed and milled materials after surface treatment and artificial aging

  • Ameer Biadsee;Ofir Rosner;Carol Khalil;Vanina Atanasova;Joel Blushtein;Shifra Levartovsky
    • The korean journal of orthodontics
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    • v.53 no.1
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    • pp.45-53
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    • 2023
  • Objective: This study aimed to evaluate the shear bond strength (SBS) of orthodontic brackets bonded to three-dimensionally (3D)-printed materials after various surface treatments and artificial aging compared with that bonded to computer-aided design/computer-aided manufacturing (CAD-CAM) polymethyl methacrylate (PMMA)-milled materials. Methods: Eighty cylindrical specimens were 3D printed and divided into the following four subgroups (n = 20 each) according to the surface treatment and artificial aging procedure. Group A, sandblasted with 50 ㎛ aluminum oxide particles (SA) and aging; group B, sandblasted with 30 ㎛ silica-coated alumina particles (CO) and aging; group C, SA without aging; and group D, CO without aging. For the control group, 20 CAD-CAM PMMA-milled cylindrical specimens were sandblasted with SA and aged. The SBS was measured using a universal testing machine (0.25 mm/min), examined at ×2.5 magnification for failure mode classification, and statistically analyzed (p = 0.05). Results: The retention obtained with the 3D-printed materials (groups A-D) was higher than that obtained with the PMMA-milled materials (control group). However, no significant difference was found between the study and control groups, except for group C (SA without aging), which showed significantly higher retention than the control group (PMMA-SA and thermocycling) (p = 0.037). Study groups A-D predominantly exhibited a cohesive specimen mode, indicating specimen fracture. Conclusions: Orthodontic brackets bonded to 3D-printed materials exhibit acceptable bonding strengths. However, 3D-printed materials are prone to cohesive failure, which may result in crown fractures.

Function Expansion of Human-Machine Interface(HMI) for Small and Medium-sized Enterprises: Focused on Injection Molding Industries (중소기업을 위한 인간-기계 인터페이스(HMI) 기능 확장: 사출성형기업 중심으로)

  • Sungmoon Bae;Sua Shin;Junhong Yook;Injun Hwang
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.45 no.4
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    • pp.150-156
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    • 2022
  • As the 4th industrial revolution emerges, the implementation of smart factories are essential in the manufacturing industry. However, 80% of small and medium-sized enterprises that have introduced smart factories remain at the basic level. In addition, in root industries such as injection molding, PLC and HMI software are used to implement functions that simply show operation data aggregated by facilities in real time. This has limitations for managers to make decisions related to product production other than viewing data. This study presents a method for upgrading the level of smart factories to suit the reality of small and medium-sized enterprises. By monitoring the data collected from the facility, it is possible to determine whether there is an abnormal situation by proposing an appropriate algorithm for meaningful decision-making, and an alarm sounds when the process is out of control. In this study, the function of HMI has been expanded to check the failure frequency rate, facility time operation rate, average time between failures, and average time between failures based on facility operation signals. For the injection molding industry, an HMI prototype including the extended function proposed in this study was implemented. This is expected to provide a foundation for SMEs that do not have sufficient IT capabilities to advance to the middle level of smart factories without making large investments.

PS-NC Genetic Algorithm Based Multi Objective Process Routing

  • Lee, Sung-Youl
    • Journal of Korea Society of Industrial Information Systems
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    • v.14 no.4
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    • pp.1-7
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    • 2009
  • This paper presents a process routing (PR) algorithm with multiple objectives. PR determines the optimum sequence of operations for transforming a raw material into a completed part within the available machining resources. In any computer aided process planning (CAPP) system, selection of the machining operation sequence is one of the most critical activities for manufacturing a part and for the technical specification in the part drawing. Here, the goal could be to generate the sequence that optimizes production time, production cost, machine utilization or with multiple these criteria. The Pareto Stratum Niche Cubicle (PS NC) GA has been adopted to find the optimum sequence of operations that optimize two conflicting criteria; production cost and production quality. The numerical analysis shows that the proposed PS NC GA is both effective and efficient to the PR problem.