• Title/Summary/Keyword: Semiconductor package process

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A Dual-Level Knowledge-Based Synthesis System for Semiconductor Chip Encapsulation

  • Yong Jeong, Heo
    • Proceedings of the Korean Society Of Semiconductor Equipment Technology
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    • 2003.12a
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    • pp.154-159
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    • 2003
  • Semiconductor chip encapsulation process is employed to protect the chip and to achieve optimal performance of the chip. Expert decision-making to obtain the appropriate package design or process conditions with high yields and high productivity is quite difficult. In this paper, an expert system for semiconductor chip encapsulation has been constructed which combines a knowledge-based system with CAE software.

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The Low Height Looping Technology for Multi-chip Package in Wire Bonder (와이어 본더에서의 초저 루프 기술)

  • Kwak, Byung-Kil;Park, Young-Min;Kook, Sung-June
    • Journal of the Semiconductor & Display Technology
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    • v.6 no.1 s.18
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    • pp.17-22
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    • 2007
  • Recent new packages such as MCP(Multi-Chip Package), QDP(Quadratic Die Package) and DDP(Dual Die Package) have stack type configuration. This kind of multi-layer package is thicker than single layer package. So there is need for the low height looping technology in wirebonder to make these packages thinner. There is stiff zone above ball in wirebonder wire which is called HAZ(Heat Affect Zone). When making low height loop (below $80\;{\mu}m$) with traditional forward loop, stiff wire in HAZ(Heat Affected Zone) above ball is bended and weakened. So the traditional forward looping method cannot be applied to low height loop. SSB(stand-off stitch) wire bonding method was applied to many packages which require very low loops. The drawback of SSB method is making frequent errors at making ball, neck damage above ball on lead and the weakness of ball bonding on lead. The alternative looping method is BNL(ball neckless) looping technology which is already applied to some package(DDP, QDP). The advantage of this method is faster in bonding process and making little errors in wire bonding compared with SSB method. This paper presents the result of BNL looping technology applied in assembly house and several issues related to low loop height consistence and BNL zone weakness.

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Analysis of Warpage of Fan-out Wafer Level Package According to Molding Process Thickness (몰드 두께에 의한 팬 아웃 웨이퍼 레벨 패키지의 Warpage 분석)

  • Seung Jun Moon;Jae Kyung Kim;Euy Sik Jeon
    • Journal of the Semiconductor & Display Technology
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    • v.22 no.4
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    • pp.124-130
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    • 2023
  • Recently, fan out wafer level packaging, which enables high integration, miniaturization, and low cost, is being rapidly applied in the semiconductor industry. In particular, FOWLP is attracting attention in the mobile and Internet of Things fields, and is recognized as a core technology that will lead to technological advancements such as 5G, self-driving cars, and artificial intelligence in the future. However, as chip density and package size within the package increase, FOWLP warpage is emerging as a major problem. These problems have a direct impact on the reliability and electrical performance of semiconductor products, and in particular, cause defects such as vacuum leakage in the manufacturing process or lack of focus in the photolithography process, so technical demands for solving them are increasing. In this paper, warpage simulation according to the thickness of FOWLP material was performed using finite element analysis. The thickness range was based on the history of similar packages, and as a factor causing warpage, the curing temperature of the materials undergoing the curing process was applied and the difference in deformation due to the difference in thermal expansion coefficient between materials was used. At this time, the stacking order was reflected to reproduce warpage behavior similar to reality. After performing finite element analysis, the influence of each variable on causing warpage was defined, and based on this, it was confirmed that warpage was controlled as intended through design modifications.

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A Multi-Level Knowledge-Based Design System for Semiconductor Chip Encapsulation

  • Huh, Y.J.
    • Journal of the Microelectronics and Packaging Society
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    • v.9 no.1
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    • pp.43-48
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    • 2002
  • Semiconductor chip encapsulation process is employed to protect the chip and to achieve optimal performance of the chip. Expert decision-making to obtain the appropriate package design or process conditions with high yields and high productivity is quite difficult. In this paper, an expert system for semiconductor chip encapsulation has been constructed which combines a knowledge-based system with CAE software.

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A Study on Throughput Increase in Semiconductor Package Process of K Manufacturing Company Using a Simulation Model (시뮬레이션 모델을 이용한 K회사 반도체 패키지 공정의 생산량 증가를 위한 연구)

  • Chai, Jong-In;Park, Yang-Byung
    • Journal of the Korea Society for Simulation
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    • v.19 no.1
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    • pp.1-11
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    • 2010
  • K company produces semiconductor package products under the make-to-order policy to supply for domestic and foreign semiconductor manufacturing companies. Its production process is a machine-paced assembly line type, which consists of die sawing, assembly, and test. This paper suggests three plans to increase process throughput based on the process analysis of K company and evaluates them via a simulation model using a real data collected. The three plans are line balancing by adding machines to the bottleneck process, product group scheduling, and reallocation of the operators in non-bottleneck processes. The evaluation result shows the highest daily throughput increase of 17.3% with an effect of 2.8% reduction of due date violation when the three plans are applied together. Payback period for the mixed application of the three plans is obtained as 1.37 years.

A Study of Warpage Analysis According to Influence Factors in FOWLP Structure (FOWLP 구조의 영향 인자에 따른 휨 현상 해석 연구)

  • Jung, Cheong-Ha;Seo, Won;Kim, Gu-Sung
    • Journal of the Semiconductor & Display Technology
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    • v.17 no.4
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    • pp.42-45
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    • 2018
  • As The semiconductor decrease from 10 nanometer to 7 nanometer, It is suggested that "More than Moore" is needed to follow Moore's Law, which has been a guide for the semiconductor industry. Fan-Out Wafer Level Package(FOWLP) is considered as the key to "More than Moore" to lead the next generation in semiconductors, and the reasons are as follows. the fan-out WLP does not require a substrate, unlike conventional wire bonding and flip-chip bonding packages. As a result, the thickness of the package reduces, and the interconnection becomes shorter. It is easy to increase the number of I / Os and apply it to the multi-layered 3D package. However, FOWLP has many issues that need to be resolved in order for mass production to become feasible. One of the most critical problem is the warpage problem in a process. Due to the nature of the FOWLP structure, the RDL is wired to multiple layers. The warpage problem arises when a new RDL layer is created. It occurs because the solder ball reflow process is exposed to high temperatures for long periods of time, which may cause cracks inside the package. For this reason, we have studied warpage in the FOWLP structure using commercial simulation software through the implementation of the reflow process. Simulation was performed to reproduce the experiment of products of molding compound company. Young's modulus and poisson's ratio were found to be influenced by the order of influence of the factors affecting the distortion. We confirmed that the lower young's modulus and poisson's ratio, the lower warpage.

Scheduling Methodology for MCP(Multi-chip Package) with Layer Sequence Constraint in Semiconductor Package (반도체 Package 공정에서 MCP(Multi-chip Package)의 Layer Sequence 제약을 고려한 스케쥴링 방법론)

  • Jeong, Young-Hyun;Cho, Kang-Hoon;Choung, You-In;Park, Sang-Chul
    • Journal of the Korea Society for Simulation
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    • v.26 no.1
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    • pp.69-75
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    • 2017
  • An MCP(Multi-chip Package) is a package consisting of several chips. Since several chips are stacked on the same substrate, multiple assembly steps are required to make an MCP. The characteristics of the chips in the MCP are dependent on the layer sequence. In the MCP manufacturing process, it is very essential to carefully consider the layer sequence in scheduling to achieve the intended throughput as well as the WIP balance. In this paper, we propose a scheduling methodology considering the layer sequence constraint.

The Effect of Insulating Material on WLCSP Reliability with Various Solder Ball Layout (솔더볼 배치에 따른 절연층 재료가 WLCSP 신뢰성에 미치는 영향)

  • Kim, Jong-Hoon;Yang, Seung-Taek;Suh, Min-Suk;Chung, Qwan-Ho;Hong, Joon-Ki;Byun, Kwang-Yoo
    • Journal of the Microelectronics and Packaging Society
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    • v.13 no.4
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    • pp.1-7
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    • 2006
  • A major failure mode for wafer level chip size package (WLCSP) is thermo-mechanical fatigue of solder joints. The mechanical strains and stresses generated by the coefficient of thermal expansion (CTE) mismatch between the die and printed circuit board (PCB) are usually the driving force for fatigue crack initiation and propagation to failure. In a WLCSP process peripheral or central bond pads from the die are redistributed into an area away using an insulating polymer layer and a redistribution metal layer, and the insulating polymer layer affects solder joints reliability by absorption of stresses generated by CTE mismatch. In this study, several insulating polymer materials were applied to WLCSP to investigate the effect of insulating material. It was found that the effect of property of insulating material on WLCSP reliability was altered with a solder ball layout of package.

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Defect Prediction Using Machine Learning Algorithm in Semiconductor Test Process (기계학습 알고리즘을 이용한 반도체 테스트공정의 불량 예측)

  • Jang, Suyeol;Jo, Mansik;Cho, Seulki;Moon, Byungmoo
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.31 no.7
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    • pp.450-454
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    • 2018
  • Because of the rapidly changing environment and high uncertainties, the semiconductor industry is in need of appropriate forecasting technology. In particular, both the cost and time in the test process are increasing because the process becomes complicated and there are more factors to consider. In this paper, we propose a prediction model that predicts a final "good" or "bad" on the basis of preconditioning test data generated in the semiconductor test process. The proposed prediction model solves the classification and regression problems that are often dealt with in the semiconductor process and constructs a reliable prediction model. We also implemented a prediction model through various machine learning algorithms. We compared the performance of the prediction models constructed through each algorithm. Actual data of the semiconductor test process was used for accurate prediction model construction and effective test verification.