• 품질경영학회지
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• 제51권1호
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• pp.55-65
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• 2023

Purpose: The purpose of this study is to propose an optimization process to improve product yield in the process using process data. Recently, research for low-cost and high-efficiency production in the manufacturing process using machine learning or deep learning has continued. Therefore, this study derives major variables that affect product defects in the manufacturing process using eXplainable Artificial Intelligence(XAI) method. After that, the optimal range of the variables is presented to propose a methodology for improving product yield. Methods: This study is conducted using the injection molding machine AI dataset released on the Korea AI Manufacturing Platform(KAMP) organized by KAIST. Using the XAI-based SHAP method, major variables affecting product defects are extracted from each process data. XGBoost and LightGBM were used as learning algorithms, 5-6 variables are extracted as the main process variables for the injection process. Subsequently, the optimal control range of each process variable is presented using the ICE method. Finally, the product yield improvement methodology of this study is proposed through a validation process using Test Data. Results: The results of this study are as follows. In the injection process data, it was confirmed that XGBoost had an improvement defect rate of 0.21% and LightGBM had an improvement defect rate of 0.29%, which were improved by 0.79%p and 0.71%p, respectively, compared to the existing defect rate of 1.00%. Conclusion: This study is a case study. A research methodology was proposed in the injection process, and it was confirmed that the product yield was improved through verification.

• 품질경영학회지
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• 제51권2호
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• pp.283-296
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• 2023

Purpose: The purpose of this study is to actually implement and verify whether welding defects can be detected in real time by utilizing deep learning AI solutions in the welding process of electric vehicle hairpin winding motors. Methods: AI's function and technological elements using synthetic neural network were applied to existing electric vehicle hairpin winding motor laser welding process by making special hardware for detecting electric vehicle hairpin motor laser welding defect. Results: As a result of the test applied to the welding process of the electric vehicle hairpin winding motor, it was confirmed that defects in the welding part were detected in real time. The accuracy of detection of welds was achieved at 0.99 based on mAP@95, and the accuracy of detection of defective parts was 1.18 based on FB-Score 1.5, which fell short of the target, so it will be supplemented by introducing additional lighting and camera settings and enhancement techniques in the future. Conclusion: This study is significant in that it improves the welding quality of hairpin winding motors of electric vehicles by applying domestic artificial intelligence solutions to laser welding operations of hairpin winding motors of electric vehicles. Defects of a manufacturing line can be corrected immediately through automatic welding inspection after laser welding of an electric vehicle hairpin winding motor, thus reducing waste throughput caused by welding failure in the final stage, reducing input costs and increasing product production.

• 한국안전학회지
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• 제12권4호
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• pp.57-62
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• 1997

The combined structure of hybrid composite made through the bonding process of materials of different properties greatly defines its mechanical characteristics, as the results of the experiments on materials of different properties show much dissimilarity. When carbon/epoxy materials are applied to hybrid composite, the carbon materials helps to improve the mechanical properties of the hybrid composite, and the epoxy reduces its fracture strain and impact resistance. Carbon fiber which is now in general commercialization is classified as high modulus or high strength system, and its manufacturing methods are various. The study of the materials having combined structure is focused on the numerical analysis of the layers of bonding surface in materials with difference modulus. The hybrid composite made through the multilayered bonding of reinforced aluminium sheets with aramid fiber now faces the marketing phase, and especially its excellent fatigue resistance and mechanical properties promote active researches on the similar products of hybrid composite. This study aims to investigate the effects of CFRP volume ratio and fiber's orientation over the properties of mechanical strength and fatigue life of the hybrid composite, AI7075/CFRP. To carry out this study, static tensile and fatigue tests were given to some of the panels which, made through the co-cure processing in an autoclave, have different CFRP volume ratio and carbon fiber orientations.

• 한국게임학회 논문지
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• 제16권6호
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• pp.29-38
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• 2016

한국 게임 산업은 대내외적 불안요인으로 성장이 멈춰있는 상황이다. 이러한 대내외적 불안요소 속에서 국내 게임 산업의 새로운 돌파구로 언급 되고 있는 것이 4차 산업 혁명이다. 4차 산업 혁명은 기존 산업 구조의 패러다임을 변화시키고 있으며, 제조업뿐만 아니라 콘텐츠 산업 전반에 생태계의 변화를 가져 오고 있다. 본 연구에서는 제 4차 산업 혁명을 통한 국내 게임 산업의 발전 방향을 모색하고 AI와 AR / VR의 발전과 미래의 제 4차 산업 혁명의 핵심이 될 게임 산업과의 연관성을 연구하고자 한다.

• 디지털융복합연구
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• 제10권7호
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• pp.99-106
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• 2012

본 본 연구는 중규모 기업의 AIS시스템 아웃소싱이 업무성과와 시스템성과에 나타나는 영향관계를 탐색하고자 하였다. 또한 AIS의 아웃소싱 결과를 통해 효율적인 운영방안을 모색하고자 하였다. 본 연구에서는 중규모의 정보화 기업을 중심으로 실무부서와 관리부서 그리고 시스템운영부서를 중심으로 AIS의 현황을 분석하여 실증분석을 실시하였다. 본 연구결과를 요약하면 첫째로, 중규모의 기업에서 AIS 아웃소싱은 초기 회계모듈만 도입 운영하는 경우 업무성과가 높은 것으로 분석되었다. 둘째, AIS의 아웃소싱에서 통합모듈을 통해 운영하는 경우 시스템에 대한 성과는 매우 높은 것으로 나타났다. 통합운용에 따른 상승효과로 분석된다. 본 연구의 결과는 향후 중소규모 제조업의 AIS아웃소싱 방법 및 구축 방향을 제시해 줄 것으로 기대된다.

• International Journal of Internet, Broadcasting and Communication
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• 제13권3호
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• pp.148-154
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• 2021

We propose the AI Smart Factory Model for integrated management of production processes in this paper .It is an integrated platform system for the production of food packaging containers, consisting of a platform system for the main producer, one or more production partner platform systems, and one or more raw material partner platform systems while each subsystem of the three systems consists of an integrated storage server platform that can be expanded infinitely with flexible systems that can extend client PCs and main servers according to size and integrated management of overall raw materials and production-related information. The hardware collects production site information in real time by using various equipment such as PLCs, on-site PCs, barcode printers, and wireless APs at the production site. MES and e-SCM data are stored in the cloud database server to ensure security and high availability of data, and accumulated as big data. It was built based on the project focused on dissemination and diffusion of the smart factory construction, advancement, and easy maintenance system promoted by the Ministry of SMEs and Startups to enhance the competitiveness of small and medium-sized enterprises (SMEs) manufacturing sites while we plan to propose this model in the paper to state funding projects for SMEs.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 1995년도 춘계학술대회 논문집
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• pp.17-23
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• 1995

This paper describes investigation of the dressing time by laser in the surface grinding operation. Always dressing work is done before grinding operation. And then generates wear and roading on the wheel by contact between the grinding performance but also ground surfaces. On these states dressing work is needed. On this paper contour of the wheel by He-Ne laser is measured. It has also been found that the wheel deflection reduces the actual depth of cut and the roughness of the ground surface.

• International Journal of Precision Engineering and Manufacturing
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• 제4권4호
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• pp.45-50
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• 2003

In order to investigate the effect of surface treatment (Anodizing) and rolling on AI 5083-H131 alloy, under hyper velocity impact, a ballistic testing was conducted. Ballistic resistance of these materials was measured by a protection ballistic limit ($V_{50}$)' a statistical velocity with 50% probability of penetration. Perforation behavior and ballistic tolerance, described by penetration modes, were respectfully observed, by $V_{50}$ test and Projectile Through Plates (PTP) test at velocities greater than $V_{50}$. PTP tests were conducted with 0$^{\circ}$ obliquity at room temperature using 5.56mm ball projectiles. $V_{50}$ tests with 0$^{\circ}$ obliquity were also done with projectiles that were able to achieve near or complete penetration during PTP tests. Resistance to penetration, and penetration modes of Al 5052-H34 alloy were compared to those of Al 5083-H 131 alloy.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 B
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• pp.1006-1008
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• 2000

In this material, a traction motor for light railway vehicle was developed. Aluminium -Diecasting process was selected in order to reduce the manufacturing cost of making rotor bars and rotor rings of the motor, instead of copper or copper alloy rotor bars and rotor rings. And the results of experiment satisfied the international standard IEC 349-2.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.573-576
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• 2022

Currently, the world has known many innovative technologies created to bring users to interact using the internet. The latest buzzword attracting attention both from industry and academia is the metaverse. The metaverse is a virtual environment in which people used virtual reality and augmented reality devices to carry out numerous virtual activities. At first, metaverse applications were mostly virtual games, but now with advances in research, many other applications and technologies are integrating the metaverse among which manufacturing, real estate, healthcare, military, and many others. The proper operation of these applications requires some technologies like blockchain and artificial intelligence. In this paper, we investigate the role of blockchain and AI in the metaverse. This work aims to present the eventual use cases of these technologies in the metaverse regardless of their application domain.