• 반도체디스플레이기술학회지
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• 제22권4호
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• pp.108-112
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• 2023

Precision manufacturing technology is rapidly developing due to the extreme miniaturization of semiconductor processes to comply with Moore's Law. Accurate and precise alignment, which is one of the key elements of the semiconductor pre-process and post-process, is very important in the semiconductor process. The center detection of wafer align marks plays a key role in improving yield by reducing defects and research on accurate detection methods for this is necessary. Methods for accurate alignment using traditional image sensors can cause problems due to changes in image brightness and noise. To solve this problem, engineers must go directly into the line and perform maintenance work. This paper emphasizes that the development of AI technology can provide innovative solutions in the semiconductor process as high-resolution image and image processing technology also develops. This study proposes a new wafer center detection method through variable thresholding. And this study introduces a method for detecting the center that is less sensitive to the brightness of LEDs by utilizing a high-performance object detection model such as YOLOv8 without relying on existing algorithms. Through this, we aim to enable precise wafer focus detection using artificial intelligence.

• 한국정밀공학회지
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• 제29권4호
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• pp.373-379
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• 2012

Disruptions in manufacturing systems caused by system changes and disturbances such as the tool wear, machine breakdown, malfunction of transporter, and so on, reduce the productivity and the increase of downtime and manufacturing cost. In order to cope with these challenges, a new method to build an intelligent manufacturing system with biological principles, namely an ant colony inspired manufacturing system, is presented. In the developed system, the manufacturing system is considered as a swarm of cognitive agents where work-pieces, machines and transporters are controlled by the corresponding cognitive agent. The system reacts to disturbances autonomously based on the algorithm of each autonomous entity or the cooperation with them. To develop the ant colony inspired manufacturing system, the disturbances happened in the machining shop of a transmission case were analyzed to classify them and to find out the corresponding management methods. The system architecture with the autonomous characteristics was generated with the cognitive agent and the ant colony technology. A test bed was implemented to prove the functionality of the developed system.

• 한국신뢰성학회지:신뢰성응용연구
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• 제16권2호
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• pp.98-103
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• 2016

Purpose: The purpose of this paper is to get a meaningful information for improving manufacturing quality of the products before they are produced in client's manufacturing process. Methods: A variety of data mining techniques have been being used for wide range of industries from process data in manufacturing factories for quality improvement. One application of those is to get meaningful information from process data in manufacturing factories for quality improvement. In this paper, the failure rate at client's manufacturing process is predicted by using the parameters of the characteristics of the product based on PCA (Principle Component Analysis) and regression analysis. Results: Through a case study, we proposed the predicting methodology and regression model. The proposed model is verified through comparing the failure rates of actual data and the estimated value. Conclusion: This study can provide the guidance for predicting the failure rate on the manufacturing process. And the manufacturers can prevent the defects by confirming the factor which affects the failure rate.

• Journal of the Korean Data and Information Science Society
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• 제28권6호
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• pp.1301-1311
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• 2017

제조 빅데이터 시스템은 제조 전 공정에서 관련된 4M 데이터의 수집, 저장, 관리, 예측적 분석을 통해 선제적 제조 활동 개선이 가능한 의사결정을 지원하고 있다. 이러한 시스템에서 데이터의 효율적인 관리와 운영을 위해 데이터를 효과적으로 시각화하는 것이 무엇보다도 중요하다. 본 논문에서는 제조 빅데이터 시스템에서 데이터 수집, 분석 및 예측 결과를 효과적으로 보여 주기 위해 사용가능한 시각화 기법을 제시한다. 본 논문에서 제시된 시각화 기법을 통해 제조 현장에서 발생하는 문제를 보다 손쉽게 파악할 수 있었을 뿐만 아니라 이들 문제를 효과적으로 대응할 수 있어 매우 유용하게 사용될 수 있음을 확인하였다.

• 한국기계가공학회지
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• 제16권4호
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• pp.9-15
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• 2017

In hot forming process, the dies in which excessive worn or crack occurs is reused after repair. Generally hot forming dies are recycled through a welding repair method. Welding repair methods are highly dependent on the skills of engineer. It causes process defects such as dimensional defects and structural defects. Recently, the metal 3D printing method has been applied to the repair of used dies. The aim of this study is to evaluate the wear characteristics of AISI H13 tool steel repaired by 3D printing method. Three kinds of wear specimens were fabricated by using 3D printing, welding, and initial material. A pin-on-disk wear test was carried out to evaluate the wear characteristics. From the result of wear test, the wear characteristics of 3D printing method was superior to that of the welded material, and was similar to that of the initial material.

• 대한기계학회논문집A
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• 제35권7호
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• pp.791-798
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• 2011

모든 기계 시스템의 변수는 불확실성을 가지고 이는 시스템 성능에 직접적인 영향을 미칠 뿐 아니라 생산성 감소를 야기한다. 특히 MEMS 시스템의 크기는 매우 작으므로 일반적인 기계 시스템에 비해 제조 공차는 상대적으로 커질 수 밖에 없다. 이 제조 공차에 의한 시스템 변수 불확실성은 MEMS 시스템의 성능과 제조 수율에 영향을 미친다. 본 연구에서는 두 가지의 불확실성 해석법을 이용하여 MEMS 가속도계의 시스템 변수 불확실성에 의한 성능의 불확실성 해석을 수행하고 성능분포 및 제조수율을 예측하였다.

• 한국기계가공학회지
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• 제8권3호
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• pp.54-61
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• 2009

General manufacturing process of the manufacturing time and manufacturing process problems have a problem. In the past, in the manufacturing process the data by hand has been. Therefore, the production performance management information, and materials input, output information, equipment information of the failure of the management problems emerged. Through this research, improvements in real-time production information to collect distribution and overall productivity will increase the efficiency of the system. the production process to improve the quality of management, efficient production methods are presented. is a stable quality control. POP system The new building should be. This is the executive or administrative decisions support. It increases productivity, efficiency, and reduce production costs, increase product reliability. This will increase the company's reputation. This increases the competitiveness of enterprises. POP system toward the future with the new destroyer to prepare for our company. Collectively POP system build this research improves the reliability of the product. Improves the quality of customer service. The expansion of product sales is. increase the competitiveness of enterprises. companies should prepare for the future of the business.

• 한국컴퓨터정보학회논문지
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• 제21권11호
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• pp.141-149
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• 2016

In a rapidly changing global environment and the massive development in IT technology, Manufacturing SMEs have difficulties in lack of resources and competencies continued to have strong growth potential "Korean Hidden Champion(K Champ)". In order to overcome the difficulties of Manufacturing SMEs, we examined the core competencies using the AHP and proposed the K Champ development strategy. The implications in the academic is as follows: First, the suggestions for development strategy plan was drawn for the K Champ's core competencies with the recognized importance by the CEO or business executives. Secondly, the manufacturing SMEs were broken down by industry structural characteristics variables(sales amounts, industry sectors, business types and delivery methods) and the importance was investigated, analyzed and clarified. This study is intended to develop strategies of Gyeongsangnam-do manufacturing SMEs for K Champ such as German 'Hidden Champion'. We identified the importance of the level of core competencies and the coherent alternative policy direction and practical alternative were proposed. These mean the concrete relationship of core competencies for the K Champ transition and suggest a realistic directional needed for the local manufacturing SMEs in the proposed 'Government's Development Policy for Korean Hidden Champion'.

• 대한기계학회논문집A
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• 제24권4호
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• pp.811-823
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• 2000

In design and manufacturing airframe structures which are composed of a lot of sub-assemblies and large complex profile shapes it is difficult to reduce so called hardware variations. Accordingly cost increasing factors for manufacturing airframe parts are much more than other machine parts because of the variability of fabricated details and assemlies. To improve cost and quality, accurate assembly methods and DPD techniques are proposed in this paper which are based upon using CAD/CAM techniques, the concept of KC's and the coordinated datum and index throughout the design, tooling, manufacturing and inspection. The proposed methods are applied to produce fuselage frame assemblies and related engineering aspects are described regarding the design of parts and tools in the context of concurrent digital definition. First articles and consequent mass production of frame assemblies shows a great improvement of the process capability ratio from 0.7 by the past processes to 1.0 by the proposed methods in addition to the cost reduction due to the less number of tools, reduced total assembly times and the space compaction needed by massive inventory. The need to achieve better Cpk, however, and future studies to be investigated will be addressed briefly.

• 한국생산제조학회지
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• 제18권5호
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• pp.514-520
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• 2009

Titanium is one of the most attractive materials due to their superior properties of high specific strength and excellent corrosion resistance. The applications in aerospace and medical industries demand machining process more frequently to obtain more precise products. Machining of titanium is faced with strong challenges such as increased component complexity i.e. airframe components manufacturing processes. The machining cost on titanium have traditionally demanded high cutting tool consumable cost and slow machining cycle times. Similarly, the high wear of the cutting tools restricts the cutting process capabilities. Titanium screws applied to fasten parts In the several corrosion environment. In the thread cutting of titanium alloys, the key point for successful work is to select proper cutting methods and tool materials. This study suggests a guidance fur selecting the cutting methods and the tool materials to improve thread quality and productivity. Some experiments investigate surface roughnesses, cutting forces and tool wear with change of various cutting parameters including tool materials, cutting methods, cutting speed. As the results, the P10 type insert tip was assured of the best for thread cutting of Ti-6Al-4V titanium alloy. Also the initial depth of infeed was desirable to use the value below 0.5mm as the uniform cutting area method is applied.