• Journal of Microbiology and Biotechnology
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• 제7권3호
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• pp.200-203
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• 1997

Bacteria isolated from ultrapure water made by a high-purity water manufacturing system in a semiconductor manufacturing plant were classified into two groups which either grew in diluted nutrient broth medium (oligotrophic bacteria) or could not grow (copiotrophic bacteria). The nutritional flexibility of oligotrophic and copiotrophic bacteria was investigated. The oligotrophic bacteria were shown to be able to utilize a significantly broader range of organic substrates than the copiotrophic bateria. This finding substantiates the hypothesis that nutritional flexibility is adaptive for oligotrophic bacteria.

• 반도체디스플레이기술학회지
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• 제8권2호
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• pp.15-21
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• 2009

Atmospheric pressure plasma equipment was successfully applied to the flip chip BGA manufacturing process to improve the uniformity of flux printing process. The problem was characterized as shrinkage of the printed flux layer due to insufficient surface energy of the flip chip BGA substrate. To improve the hydrophilic characteristics of the flip chip BGA substrate, remote DBD type atmospheric pressure plasma equipment was developed and adapted to the flux print process. The equipment enhanced the surface energy of the substrate to reasonable level and made the flux be distributed over the entire flip chip BGA substrate uniformly. This research was the first adaptation of the atmospheric pressure plasma equipment to the flip chip BGA manufacturing process and a lot of possible applications are supposed to be extended to other PCB manufacturing processes such as organic cleaning, etc.

• 한국IT서비스학회:학술대회논문집
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• 한국IT서비스학회 2009년도 춘계학술대회
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• pp.270-276
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• 2009

This paper outlines opportunities and challenges in the Implementation of BPEL based WFMS(Work Flow Management System) for the MES(Manufacturing Execution Systems) level in semiconductor manufacturing. At present, the most MES that are composed of several hundreds of applications in semiconductor wafer fabrication shop have the same problems as others about flexibility and adaptability. When a plant has to produce new product mix, remodel the manufacturing execution process, or replace obsolete equipments, the principal road blocks for responding to new manufacturing environment are inflexible communication infrastructure among the manufacturing process components and the difficulty in porting existing application software to new configurations. In this paper, the issues about BPEL standard, used for the flexibility of Workflow Management System, are presented. We introduce the integrated development framework named nanoFlow which is optimized for developing the BPEL based WFMS application for automated manufacturing system. We describe a WFMS implemented with using nanoFlow framework, review and evaluate the system in terms of flexibility and adaptability.

• 품질경영학회지
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• 제47권4호
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• pp.725-737
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• 2019

Purpose: We used a data analysis method to improve semiconductor manufacturing yield. We defined and optimized important factors and applied our findings to a real-world process. The semiconductor industry is very cost-competitive; our findings are useful. Methods: We collected data on 15 independent variables and one dependent variable (yield); we removed outliers and missing values. Using SPSS Modeler ver. 18.0, we analyzed the data both continuously and discretely and identified common factors. Results: We optimized two independent variables in terms of process conditions; yield improved. We used DS Leak software to model netting and Contact CD software to model meshes. DS Leak shows smaller the better characterisrics and Contact CD shows normal the best characteristics Conclusion: Various efforts have been made to improve semiconductor manufacturing yields, and many studies have created models or analyzed various characteristics. We not only defined important factors but also showed how to control processing to improve semiconductor yield.

• 산업공학
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• 제22권3호
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• pp.252-262
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• 2009

It is crucial to prevent low yields in the semiconductor industry. Since many factors affect variation in yield and they are deeply related, preventing low yield is difficult. There have been substantial researches in the field of yield prediction. Many researchers had used the statistical methods. Many studies have shown that artificial neural network (ANN) achieved better performance than traditional statistical methods. However, despite ANN's superior performance some problems such as over-fitting and poor explanatory power arise. In order to overcome these limitations, a relatively new machine learning technique, support vector machine (SVM), is introduced to classify the yield. SVM is simple enough to be analyzed mathematically, and it leads to high performances in practical applications. This study presents a new efficient classification methodology, Stepwise-SVM (SSVM), for detecting high and low yields. SSVM is step-by-step adjustment of parameters to be precisely the classification for actual high and low yield lot. The objective of this paper is to examine the feasibility of SVM and SSVM in the yield classification. The experimental results show that SVM and SSVM provides a promising alternative to yield classification for the field data.

• 한국반도체및디스플레이장비학회:학술대회논문집
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• 한국반도체및디스플레이장비학회 2002년도 추계학술대회 발표 논문집
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• pp.117-119
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• 2002

A semiconductor cleaning technology has been based upon RCA cleaning which consumes vast amounts of chemicals and ultra pure water. This technology hence gives rise to many environmental issues, and some alternatives such as electrolyzed water are being studied. In this work, intentionally contaminated Si wafers were cleaned using the electrolyzed water. The electrolyzed waters were obtained in anode and cathode with oxidation reduction potentials and pH of -1050mV and 4.8, and -750mV and 10.0, respectively. The electrolyzed water deterioration was correlated with $CO_2$ concentration changes dissolved from air. Overflowing of electrolyzed water during cleaning particles resulted in the same cleanness as could be obtained with RCA clean. The roughness of patterned wafer surfaces after EW clean maintained that of as-received wafers. RCA clean consumed about $9\ell$ chemicals, while electrolyzed water clean did only $400m\ell$ HCl or $600m\ell$ $NH_4$Cl to clean 8" wafers in this study. It was hence concluded that electrolyzed water cleaning technology would be very effective for releasing environment, safety, and health(ESH) issues in the next generation semiconductor manufacturing.ring.

• Safety and Health at Work
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• 제12권3호
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• pp.403-415
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• 2021

Background: This study aimed to assess the possibility of benzene exposure in workers of a Korean semiconductor manufacturing company by reviewing the issued patents. Methods: A systematic patent search was conducted with the Google "Advanced Patent Search" engine using the keywords "semiconductor" and "benzene" combined with all of the words accessed on January 24, 2016. Results: As a result of the search, we reviewed 75 patent documents filed by a Korean semiconductor manufacturing company from 1994 to 2010. From 22 patents, we found that benzene could have been used as one of the carbon sources in chemical vapor deposition for capacitor; as diamond-like carbon for solar cell, graphene formation, or etching for transition metal thin film; and as a solvent for dielectric film, silicon oxide layer, nanomaterials, photoresist, rise for immersion lithography, electrophotography, and quantum dot ink. Conclusion: Considering the date of patent filing, it is possible that workers in the chemical vapor deposition, immersion lithography, and graphene formation processes could be exposed to benzene from 1996 to 2010.

• 반도체디스플레이기술학회지
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• 제20권3호
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• pp.152-156
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• 2021

Cartesian robot is used in semiconductor manufacturing. Friction between steel band and mover wears the steel band. The emission of wear particle from steel band contaminates semiconductor equipment. At the manufacturing site, the steel band is replaced periodically to minimize the generation of wear particle. But this is not a good way to minimize the generation of wear particle, because it is hard to specify the moment of replacement. We suggested the methodology to minimize the generation of wear particle using TRIZ technique. Also we made prototype robot which the solution is applied, and the performance of the solution was verified through experiments. As a result of verification, it was confirmed that the solution significantly reduced the generation of wear particle compared to the standard way.

• 전기전자학회논문지
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• 제27권1호
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• pp.65-70
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• 2023

높은 캐리어 이동도, 큰 포화 속도, 낮은 고유 정전 용량, 유연성, 그리고 투명성을 장점으로 가진 CNTFET(Carbon NanoTube Field Effect Transistor) 10,000개 이상을 현존하는 반도체 디자인 절차와 공정 프로세서를 활용하여 하나의 반도체 칩에 집적하는데 성공하였다. 제작된 반도체 칩의 3차원 다층 구조와 다양한 CNTFET 생산 공정 연구는 기존 MOSFET과 CNTFET를 하나의 반도체 칩에 함께 사용하는 hybrid MOSFET-CNTFET 반도체 칩 제작에 대한 가능성을 보여주고 있다. 본 논문에서는 hybrid MOSFET-CNTFET을 활용한 6T binary SRAM을 디자인하는 방법에 대해 논하고자 한다. 기존 MOSFET SRAM 또는 CNTFET SRAM 디자인 방법을 활용하여 hybrid MOSFET-CNTFET SRAM을 디자인 하는 방법을 소개하고 그 성능을 기존 MOSFET SRAM 그리고 CNTFET SRAM과 비교하고자 한다.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제6권3호
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• pp.311-318
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• 2000

본 연구는 복잡하고 다양한 반도체 웨이퍼 가공 (FAB) 공정의 전체적인 흐름을 컴퓨터 모델로 구축하고 이를 Device 단면도를 나타내는 프리젠테이션 툴과 연동시키는 교육 모델의 개발을 목적으로 하였다. 급변하는 세계 반도체 시장에서 국내 반도체 업체는 지속적인 기술 개발과 더불어 효율적인 생산관리에 대응할 수 있도록 하여 국제 경쟁력을 키워야 할 것이다. 따라서 본 연구에서 다루어진 공정의 흐름과 각 단위공정의 특성을 바탕으로 설립된 모델은 서울대학교 반도체 공동 연구소를 대상으로 구현되었으나 앞으로 생산 관리를 담당할 국내 반도체 업체들의 신입사원과 현장기술자의 질적 향상을 위한 시청각 교육용 자료로의 활용 시 상당한 효과를 거둘 것이라 예상된다. 이는 생산업체에 국한되어지는 것만은 아니며 반도체 공정에 관련된 대학 학과목에서도 활용되어지리라 생각된다. 또한 확장성과 변화에 유연한 모델을 개발함으로써 반도체 생산 업체들은 구성된 표준 모델을 이용하여 각 회사의 실정에 맞추어 자사에 대한 시뮬레이션을 손쉽게 수행함으로써 많은 교육 효과와 이에 따른 원가 절감의 효과까지 거둘 수 있을 것이다.