• Title/Summary/Keyword: Automotive manufacturing industry

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u-IT Based Plant Green Growth Environment Management System (u-IT 기반의 그린 생장환경 관리 시스템)

  • Kim, Jong-Chan;Cho, Seung-Il;Ban, Kyeong-Jin;Kim, Chee-Yong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.6
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    • pp.1391-1396
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    • 2011
  • A way to increase productivity in agriculture that is labor-centered industry is to graft IT technology. Today, many technologies in ubiquitous computing are deployed in all areas of society such as traffic control, automotive manufacturing, construction, defence, healthcare and clinical services. These IT technologies is gaining more attention as a fusion technology among traditional industries. To successfully build ubiquitous agriculture environment, it needs optimized core technology development for agriculture that includes sensor node H/W, middleware platform, routing protocol and agriculture environment application services. To achieve accurate botany growth environment management, we propose a green growth environment management system using environmental factor monitoring sensor and biological information sensors in greenhouse. By using our proposed system, it is expected to realize fusion complex agriculture technology with low cost.

A Study of Machine Learning based Hardware Trojans Detection Mechanisms for FPGAs (FPGA의 Hardware Trojan 대응을 위한 기계학습 기반 탐지 기술 연구)

  • Jang, Jaedong;Cho, Mingi;Seo, Yezee;Jeong, Seyeon;Kwon, Taekyoung
    • Journal of Internet Computing and Services
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    • v.21 no.2
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    • pp.109-119
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    • 2020
  • The FPGAs are semiconductors that can be redesigned after initial fabrication. It is used in various embedded systems such as signal processing, automotive industry, defense and military systems. However, as the complexity of hardware design increases and the design and manufacturing process globalizes, there is a growing concern about hardware trojan inserted into hardware. Many detection methods have been proposed to mitigate this threat. However, existing methods are mostly targeted at IC chips, therefore it is difficult to apply to FPGAs that have different components from IC chips, and there are few detection studies targeting FPGA chips. In this paper, we propose a method to detect hardware trojan by learning the static features of hardware trojan in LUT-level netlist of FPGA using machine learning.

An Experimental Research for the Optimization of the Gear Grinding Machine's Operating Condition (기어 그라인딩 장비 가공조건 최적화에 대한 실험적 연구)

  • Lee, Hyun-Ku;Kim, Moo-Suck;Hwang, Sun-Yang;Kwon, O-Jun;Kang, Koo-Tae
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2010.05a
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    • pp.65-66
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    • 2010
  • To improve the gear noise quality, gear tooth grinding machine are widely used in automotive industry. While using the gear profile grinding machine to improve the gear tooth quality of the transmission, several defects such as chattering, tooth waves that cause the gear noise occasionally happened. But it is very difficult to solve that problem, because there is no one who knows the setting up the optimal grinding condition appropriately. The abnormal manufacturing conditions which make the gear noise make the engineer to spend a lot of time, effort, and money. Due to demands for solving the serious abnormal gear noise happened in the new FF 6th stage automatic transmission in the mass product stage, the vibration checking process in the worm wheel axis, work rotation and fixed axis of the grinding machine were adapted to find the root causes. As a result, gear profile wave are affected by the work rotation axis's unbalance which is caused by worm wheel feeding speed. And a primary and the secondary grinding feeding speed, cutting oil, work fixed forces are also proved as the important factors. After setting up the grinding condition reported in this paper, it was adapted successfully to the grinding machine to manufacture the new FF 6th speed automatic transmissions' output gear. The gear noise was dramatically disappeared and the process and results will offer good guides to the engineers who manufacture the gear with the grinding machine.

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The Strategy of GM for the Development of Autonomous Driving Technology and Related Policies (GM의 자율주행차 관련 기술개발 전략 및 정책에 관한 연구)

  • Hyun, Jae Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.3
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    • pp.51-56
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    • 2020
  • This study examines the strategies employed by GM, who experienced bankruptcy in 2008. Specifically, we explore the autonomous driving-related technologies and execution, which GM began developing later than other car manufacturing companies. This study found that GM implemented aggressive M&A in search of vertical industrial integration for the development and production of autonomous vehicles. GM selected candidate firms to complement its technological gaps for the development and implementation of the autonomous vehicle. Secondly, GM achieved executive capacity by attempting to build a vertical integration in the wider scope of components, solution, service, and sales. Thirdly, the consistent governmental support and policies, such as the connected car project, M-City, and NCHRP Program expedited the development process. This study provides practical and policy implications for Korean companies and policymakers related to the automotive industry.

Analysis of the Type of 3D Printing Development Linked with the Textile Structure Principle (텍스타일 스트럭처 원리와 연계된 3D 프린팅 개발 유형 분석)

  • Kim, Hyojin;Kim, Seongdal
    • Journal of Fashion Business
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    • v.22 no.2
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    • pp.1-13
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    • 2018
  • 3D printing technology, which is expected to play a leading role within the Fourth Industrial Revolution, is becoming distinguished not only in the space, automotive, medical and engineering industries, but also in the area of design. The fashion and textile structures created by 3D printing technology were classified into three types - basic structure, unified structure, and a new physical structure. When traditional weaving, knitting, and stitching was reinterpreted through 3D printing, there were apparent limitations in reproducing the characteristics of fabric structures due to differences in the materials and structures of traditional textiles. New physical structures are being developed to break away from merely reproducing traditional textile structures, and to bring out the characteristics of 3D printing technology. As examples of new physical structures, there are the kinematics structure which utilizes the hinge method, mesostructure cellular material, and the N12 disk structure. Such techniques potentially open a new paradigm of fashion and textile structures. Some innovative aspects of 3D printing technology may result in changes in the methods of collaboration, manufacturing, and distribution. Designers are receiving help from specialists of various backgrounds to merge 3D printing technology to create original works. Also, 3D printing not only makes personalized custom designs available, but shortens the distribution channels, foretelling a change within the fashion and textile industry.

Thermal Stress Analysis of Composite Beam through Dimension Reduction and Recovery Relation (차원축소와 복원관계를 통한 복합재료 보의 열응력 해석)

  • Jang, Jun Hwan;Ahn, Sang Ho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.30 no.5
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    • pp.381-387
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    • 2017
  • Fiber-reinforced composites not only have a direction of thermal expansion coefficient, but also inevitably suffer thermal stress effects due to the difference between the manufacturing process temperature and the actual use temperature. The damage caused by thermal stress is more prominent in the case of thick composite laminates, which are increasingly applied in the aerospace industry, and have a great influence on the mechanical function and fracture strength of the laminates. In this study, the dimensional reduction and thermal stress recovery theory of composite beam structure having high slenderness ratio is introduced and show the efficiency and accuracy of the thermal stress comparison results between the 3-D finite element model and the dimension reduction beam model. Efficient recovery analysis study will be introduced by reconstructing the thermal stress of the composite beam section applied to the thermal environment by constructing the dimensional reduction modeling and recovery relations.

An Experimental Research for the Optimization of the Gear Grinding Machine's Operating Condition (기어 그라인딩 장비 가공조건 최적화에 대한 실험적 연구)

  • Lee, Hyun-Ku;Kim, Moo-Suk;Kang, Koo-Tae
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.20 no.7
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    • pp.665-671
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    • 2010
  • To improve the gear noise quality, gear tooth grinding machine are widely used in automotive industry. While using the gear profile grinding machine to improve the gear tooth quality of the transmission, several defects such as chattering, tooth waves that cause the gear noise occasionally happened. But it is very difficult to solve that problem, because there is no one who knows the setting up the optimal grinding condition appropriately. The abnormal manufacturing conditions which make the gear noise make the engineer to spend a lot of time, effort, and money. Due to demands for solving the serious abnormal gear noise happened in the automatic transmission in the mass product stage, the vibration checking process in the worm wheel axis, work rotation and fixed axis of the grinding machine were adapted to find the root causes. As a result, gear profile wave are affected by the work rotation axis's unbalance which is caused by worm wheel feeding speed. And a primary and the secondary grinding feeding speed, cutting oil, work fixed forces are also proved as the important factors. After setting up the grinding condition reported in this paper, it was adapted successfully to the grinding machine to manufacture the new automatic transmissions' gear. The gear noise was dramatically disappeared and the process and the results will offer good guides to the engineers who manufacture the gear with the grinding machine.

The Distribution Condition and Clothing Construction Factors of the Working Clothes - Reference to the Changwon National Industrial Complex -

  • Park, Gin-Ah;Park, Hye-Won
    • Journal of Fashion Business
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    • v.12 no.3
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    • pp.116-135
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    • 2008
  • To investigate the actual distribution condition and clothing construction factors of the working clothes supplied to the Changwon national industrial complex, 5 major companies in machinery, automotive, industrial engineering, shipbuilding and rolling stock in the industrial complex located in Gyeongsangnam-Do were selected. The questionnaire designed for the research consisted of working clothes distribution policies in manufacturing industry and the actual conditions of the design facts, repair and maintenance of the working clothes, etc. The analysis of the clothing construction factors of the working clothes provided by 5 respondent companies were conducted in parallel. The results derived from the study were as follows: The basic types of working clothes were the blouson jacket and straight pants; safety equipments for manufacture were safety helmets, gloves, snickers, goggles, masks, ear caps, wristlets, leggings, apron, etc. The size-charts adopted by the participant companies were the small-medium-large and cm/inch measurement size systems. To solve wearer's dissatisfaction with the garment fit, certain clothing construction factors were used, e.g. strap bands and the elastic band on a waist band. The types of fabrics used for the working clothes were mainly polyester/cotton and polyester/rayon blended ones. Moreover, to provide with more air permeability to wearers, the warp knit material was used to construct the lining and the armpit or back bodice slits. Lock, two-thread chain, safety, overedge stitches were applied with flat, lap felled, French, superimposed, lapped, bound and edge finishing seams to construct the working clothes selected.

A Study on Cost Estimation for Smart Mobility Service (스마트 모빌리티 서비스를 위한 비용추정)

  • Cheon, Seohyung;Kim, Dongyeon;Ahn, Jae-Hyeon;Park, Kyuhong
    • Journal of Digital Convergence
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    • v.19 no.11
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    • pp.301-313
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    • 2021
  • The automotive industry is facing a paradigm shift, changing from owning to sharing and from manufacturing to service. However, it is hard to conclude that the economic value of smart mobility service is always positive to users. Cost related to owing or share a vehicle is very hard to estimate from the perspective of potential users as well as the benefit of the service. Focusing on the cost side of the story, this study develops a cost estimating model based on three main factors: electrification, advanced driving assistant systems (ADAS) function, and participation of ride-sharing service. As a result of the model analysis, low cost was estimated as a result when receiving cost benefits such as electrification and ride-sharing participation. Various factors were analyzed through sensitivity analysis also. These results can provide useful insights into the cost prediction and strategies for potential users and manufacturers on smart mobility service market.

Evaluation of delamination in the drilling of CFRP composites

  • Feroz, Shaik;Ramakrishna, Malkapuram;K. Chandra, Shekar;P. Dhaval, Varma
    • Advances in materials Research
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    • v.11 no.4
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    • pp.375-390
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    • 2022
  • Carbon Fiber Reinforced Polymer (CFRP) composite provides outstanding mechanical capabilities and is therefore popular in the automotive and aerospace industries. Drilling is a common final production technique for composite laminates however, drilling high-strength composite laminates is extremely complex and challenging. The delamination of composites during the drilling at the entry and exit of the hole has a severe impact on the results of the holes surface and the material properties. The major goal of this research is to investigate contemporary industry solutions for drilling CFRP composites: enhanced edge geometries of cutting tools. This study examined the occurrence of delamination at the entry and exit of the hole during the drilling. For each of the 80°, 90°, and 118°point angle uncoated Brad point, Dagger, and Twist solid carbide drills, Taguchi design of experiments were undertaken. Cutting parameters included three variable cutting speeds (100-125-150 m/min) and feed rates (0.1-0.2-0.3 mm/rev). Brad point drills induced less delamination than dagger and twist drills, according to the research, and the best cutting parameters were found to be a combination of maximum cutting speed, minimum feed rate, and low drill point angle (V:150 m/min, f: 0.1 mm/rev, θ: 80°). The feed rate was determined to be the most efficient factor in preventing hole entry and exit delamination using analysis of variance (ANOVA). Regression analysis was used to create first-degree mathematical models for each cutting tool's entrance and exit delamination components. The results of optimization, mathematical modelling, and experimental tests are thought to be reasonably coherent based on the information obtained.