Article
Engineering, Electrical & Electronic
Chih-Hung Jen, Shu-Kai S. Fan, Yu-Yu Lin
Summary: This article investigates a real-world dataset involving the PR spacer heights of CF in TFT-LCD manufacturing. To meet the requirement of process quality in small batch production, a high-accuracy VM model is designed. The study proposes two distance-measuring methods and an integrated VM predictor model.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Chemistry, Analytical
Fu-Ming Tzu, Jung-Shun Chen, Shih-Hsien Hsu
Summary: A high-resolution, accurate device has been developed for refining electrode pixel detection in TFT-LCD, using an array tester and automatic optical inspection; however, attention is needed to address air gap issues causing module damage and scratches, requiring alternative equipment; experimental results suggest both array tester and AOI are effective in detecting electrode pixels.
Article
Robotics
Yu-Ming Hsieh, Tan-Ju Wang, Chin-Yi Lin, Li-Hsuan Peng, Fan-Tien Cheng, Sui-Yan Shang
Summary: Factories typically use sampling inspection rather than real-time comprehensive inspection, and AVM can address this issue. With the advancement of technology, the accuracy requirements for virtual metrology have increased, leading to the proposal of using CNN to improve the predictive accuracy of AVM on data, with experimental results showing that CNN can enhance the original AVM accuracy.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Materials Science, Ceramics
Jiedong Cui, Xin Cao, Fengyang Zhao, Zhaojin Zhong, Na Han
Summary: The melting properties of two kinds of glass substrates for TFT-LCD and OLED were investigated, with tin dioxide showing better fining effect. It took more time for the OLED substrate to reach a steady state in the fining process due to higher viscosity and surface tension.
JOURNAL OF ASIAN CERAMIC SOCIETIES
(2021)
Article
Robotics
Yu-Ming Hsieh, Tan-Ju Wang, Chin-Yi Lin, Yueh-Feng Tsai, Fan-Tien Cheng
Summary: To ensure stable processing and high-yield production, high-tech factories demand product quality total inspection. Automatic Virtual Metrology (AVM) collects data and predicts virtual metrology values to achieve real-time and online total inspection. The CNN-based AVM scheme improves accuracy and handles extreme values. This work proposes an Advanced AVM(CNN) System based on convolutional autoencoder and transfer learning to address issues of initial model creation and self-learning.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Yo-Ping Huang, Kanika Bhalla
Summary: This study presents an automatic generation method of laser cutting paths for LCD panel defects and introduces a novel color normalization singular value decomposition Reinhard neutrosophic Canny (SVDRNC) segmentation framework. The proposed method successfully addresses the color variation problem in LCD panel image acquisition and accurately identifies the edges of the segmented image using the neutrosophic Canny edge segmentation method. Experimental results demonstrate that the proposed method outperforms other methods, achieving higher metric values and helping manufacturers reduce LCD panel yield losses.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Nanoscience & Nanotechnology
Nazar Farid, Adam Brunton, Phil Rumsby, Scott Monaghan, Ray Duffy, Paul Hurley, Mingqing Wang, Kwang-Leong Choy, Gerard M. O'Connor
Summary: A new process of crystallizing amorphous silicon without melting is proposed, which includes adding a molybdenum layer to control crystallite size and achieve high-quality crystallization at low temperature. Simulations show that the transfer of energy from the molybdenum layer to the silicon film can lead to crystallization of amorphous silicon at temperatures lower than its melting point.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Engineering, Electrical & Electronic
William Cheng-Yu Ma, Cai-Jia Tsai
Summary: The independent dual-gate operation improves performance and reliability of the JL-TFT, but may also cause more serious damages. The back gate voltage operation mode provides a wide threshold voltage tuning range, but it is important to note that positive top gate voltage stress may lead to more serious reliability issues.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2021)
Review
Engineering, Manufacturing
Hye-Mi Kim, Dong-Gyu Kim, Yoon-Seo Kim, Minseok Kim, Jin-Seong Park
Summary: This article provides an overview of the history and importance of ALD-based oxide semiconductors, discusses the advantages of ALD in oxide semiconductor deposition, and explains the challenges of scaling oxide semiconductors and ALD for industrial applications.
INTERNATIONAL JOURNAL OF EXTREME MANUFACTURING
(2023)
Article
Engineering, Electrical & Electronic
Leini Wang, Gang He, Wenhao Wang, Xiaofen Xu, Bo He, Xiaoyu Wu, Yongchun Zhang
Summary: This article investigates the performance of solution-derived amorphous cerium oxide (CeO2) as a gate dielectric with a smooth surface. Electrical analysis demonstrates that a 3 nm Al2O3 passivation layer derived from ALD helps reduce leakage current in CeO2 MOS capacitors. Additionally, the article integrates solution-processed In2O3 thin-film transistors (TFTs) based on an optimized Al2O3/CeO2 bilayer dielectric for the first time. Results show that the annealed In2O3/Al2O3/CeO2 TFT demonstrates high performance and stability.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2022)
Article
Engineering, Electrical & Electronic
Sanath Kumar Honnali, Vikram Srinivasa Raghavan, Roopa Ashwath, Ganapathy Saravanavel, K. R. Gunasekhar, Sanjiv Sambandan, Sai Siva Gorthi, Benjamin O'Driscoll, David Jenkins
Summary: In this study, a multiplexed detection platform using zinc oxide thin-film transistors (TFTs) was demonstrated for the detection of lead and Escherichia coli in water. The functionalized TFTs showed good sensitivity and specificity to the targets, with the ability to integrate with high-density sensor arrays.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Bowen Yan, Yanan Ding, Tongzheng Li, Haiyang Qiu, Yepeng Shi, Guoxia Liu, Fukai Shan
Summary: This article demonstrates a high-performance thin film transistor (TFT) based on a double-stack fluorine-doped In2O3/In2O3(InFO/InO) homojunction channel. By utilizing the unique bandgap characteristic of fluorine dopant, the TFT exhibits improved electrical performance, including a field-effect mobility (mu(FE)) of 5.69 cm(2)/Vs and a high ON/OFF current (I-on/I-off) ratio of 10(8). X-ray photoelectron spectroscopy (XPS) analysis confirms the significance of the InFO film as the front channel. Furthermore, integration with the Al2O3 dielectric enhances the TFT's electrical performance, resulting in a large mu(FE) of 31.49 cm(2)/Vs, high I-on/I-off (approximately 10(8)), and a small threshold voltage of 1.4 V. These findings highlight the great potential of the TFT based on InFO/InO homojunction channel in low-power, flexible, and printable electronic devices.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2023)
Article
Materials Science, Multidisciplinary
Shirsopratim Chattopadhyay, John G. Labram
Summary: Flexible electronics designed for significant physical deformations must be understood in any physical form for predictability and commercial viability. This study utilizes the method of moments to calculate capacitance between electrical conductors of arbitrary shape, combined with a model for source-drain current to analyze current-voltage characteristics in curved TFTs. Deformations to device geometry are expected to lead to significant changes in current-voltage characteristics.
JOURNAL OF PHYSICS-MATERIALS
(2021)
Article
Mathematics
Jung-Fa Tsai, Chin-Po Wang, Ming-Hua Lin, Shih-Wei Huang
Summary: This study investigates key factors for supplier selection in Taiwan's TFT-LCD industry, focusing on technological abilities and resilience criteria, and utilizing a combination of DEMATEL and ANP methods for analysis. The results reveal that technological abilities and resilience criteria hold significant importance in supplier selection.
Article
Engineering, Electrical & Electronic
William Cheng-Yu Ma, Chun-Jung Su, Kuo-Hsing Kao, Yao-Jen Lee, Ju-Heng Lin, Pin-Hua Wu, Jui-Che Chang, Cheng-Lun Yen, Hsin-Chun Tseng, Hsu-Tang Liao, Yu-Wen Chou, Min-Yu Chiu, Yan-Qing Chen
Summary: This work demonstrates the construction of nonvolatile memory based on tunnel thin-film transistors and a ferroelectric HfZrOx layer. The memory exhibits sufficient electrical performance and can be integrated with smart wearable devices for edge computing applications.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2022)
Article
Robotics
Yu-Ming Hsieh, Rung Lu, Jing-Wen Lu, Fan-Tien Cheng, Muhammad Adnan
IEEE ROBOTICS AND AUTOMATION LETTERS
(2020)
Article
Automation & Control Systems
Min-Hsiung Hung, Yu-Chuan Lin, Hung-Chang Hsiao, Chao-Chun Chen, Kuan-Chou Lai, Yu-Ming Hsieh, Hao Tieng, Tsung-Han Tsai, Hsien-Cheng Huang, Haw-Ching Yang, Fan-Tien Cheng
Summary: This paper proposes a novel implementation framework called IF-DTiM for intelligent manufacturing, which utilizes new-generation container technology and intelligent cloud manufacturing services to achieve rapid deployment and real-time data exchanges of digital twins. The framework overcomes the limitations of traditional approaches and can fulfill the demands and scenarios of various manufacturing industries.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Robotics
Muhammad Adnan, Haw-Ching Yang, Tsung-Han Kuo, Fan-Tien Cheng, Hong-Chuong Tran
Summary: By introducing a secondary tuning loop (System 2) and using MPIs to classify melt-pool images, the control thresholds and parameters of the primary control loops (System 1) of LPBF machines can be more effectively determined.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Automation & Control Systems
Ching-Kang Ing, Chin-Yi Lin, Po-Hsiang Peng, Yu-Ming Hsieh, Fan-Tien Cheng
Summary: The key algorithms for achieving zero-defect manufacturing and continuous improvement were proposed, addressing the shortcomings of traditional algorithms. The new Golden Path Search Algorithm aims to comprehensively enhance manufacturing yield by identifying paths with higher yield in multistage manufacturing processes.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Editorial Material
Automation & Control Systems
Fan-Tien Cheng, Chia-Yen Lee, Min-Hsiung Hung, Lars Moench, James R. Morrison, Kaibo Liu
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Robotics
Yu-Ming Hsieh, Tan-Ju Wang, Chin-Yi Lin, Yueh-Feng Tsai, Fan-Tien Cheng
Summary: To ensure stable processing and high-yield production, high-tech factories demand product quality total inspection. Automatic Virtual Metrology (AVM) collects data and predicts virtual metrology values to achieve real-time and online total inspection. The CNN-based AVM scheme improves accuracy and handles extreme values. This work proposes an Advanced AVM(CNN) System based on convolutional autoencoder and transfer learning to address issues of initial model creation and self-learning.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Biographical-Item
Automation & Control Systems
Frank Park, Nukula Viswanadham, Ken Goldberg, Michael Wang, Yu Sun, MengChu Zhou, Bengt Lennartson, Fan-Tien Cheng
IEEE ROBOTICS & AUTOMATION MAGAZINE
(2023)
Biographical-Item
Automation & Control Systems
Frank Park, Nukula Viswanadham, Ken Goldberg, Michael Wang, Yu Sun, MengChu Zhou, Bengt Lennartson, Fan-Tien Cheng
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Hong-Chuong Tran, Yu-Lung Lo, Haw-Ching Yang, Hung-Chang Hsiao, Fan-Tien Cheng, Tsung-Han Kuo
Summary: The study proposes an Intelligent Additive Manufacturing Architecture (IAMA) for controlling the surface roughness of each build layer in the Laser Powder Bed Fusion (L-PBF) process. The feasibility of the proposed architecture is demonstrated by comparing the top surface roughness and mechanical strengths of samples built using the proposed method with those built using a traditional L-PBF approach without surface roughness control. The samples fabricated using the IAMA approach have lower surface roughness and more consistent mechanical properties, indicating the strong potential of the proposed architecture in mass production of components for aerospace and automobile industries.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Robotics
Jan Wilch, Birgit Vogel-Heuser, Jens Mager, Rostislav Cendelin, Thomas Fett, Yu-Ming Hsieh, Fan-Tien Cheng
Summary: This letter discusses the research area of Root-cause Analysis (RCA) in automated Production Systems (aPS). A generalized RCA framework is proposed to support different use cases by incorporating formalized information about the technical process. The framework was successfully evaluated in an industrial case study using alarms recorded from a nonwoven production plant.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Proceedings Paper
Automation & Control Systems
Zhuo Yang, M. Adnan, Yan Lu, Fan-Tien Cheng, Haw-Ching Yang, Milica Perisic, Yande Ndiaye
Summary: This paper compares the data observations from two types of in-situ monitoring in additive manufacturing and investigates their correlation in a build process with multiple geometric features and scan patterns. Data analysis shows significant statistical changes in both datasets when new features are introduced. However, machine learning-based modeling indicates that the statistical features extracted from the two datasets do not correlate well. Discussions are provided on how to utilize the statistical analysis of these observations for developing a data fusion strategy, particularly towards improving process anomaly detection.
2022 IEEE 18TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE)
(2022)
Proceedings Paper
Automation & Control Systems
Jan Wilch, Birgit Vogel-Heuser, Yu-Ming Hsieh, Fan-Tien Cheng
Summary: This paper proposes the use of a distributive agent to monitor and intervene in automated production systems in order to maintain high OEE. The approach does not affect the flexibility of the core system and allows for automatic reconfiguration when necessary.
2022 IEEE 18TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE)
(2022)
Proceedings Paper
Automation & Control Systems
Yu-Ming Hsieh, Jan Wilch, Chin-Yi Lin, Birgit Vogel-Heuser, Fan-Tien Cheng
Summary: This article discusses the importance of predictive maintenance in Industry 4.0 and proposes an automated aging feature extraction scheme to improve monitoring accuracy. It also presents an integrated architecture for tool health monitoring and remaining useful life prediction. The experimental results demonstrate the enhanced performance of the predictive maintenance algorithm and the achievement of maximum production efficiency.
2022 IEEE 18TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE)
(2022)
Article
Robotics
Yu-Ming Hsieh, Tan-Ju Wang, Chin-Yi Lin, Li-Hsuan Peng, Fan-Tien Cheng, Sui-Yan Shang
Summary: Factories typically use sampling inspection rather than real-time comprehensive inspection, and AVM can address this issue. With the advancement of technology, the accuracy requirements for virtual metrology have increased, leading to the proposal of using CNN to improve the predictive accuracy of AVM on data, with experimental results showing that CNN can enhance the original AVM accuracy.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Automation & Control Systems
Haw-Ching Yang, Chih-Hung Huang, Muhammad Adnan, Chih-Hua Hsu, Chun-Hui Lin, Fan-Tien Cheng
Summary: Quality control is crucial for metal additive manufacturing (AM), and this article proposes an intelligent AM metrology (IAMM) architecture to address the challenges of online quality estimation. The IAMM architecture can timely diagnose machine issues and control the manufacturing process of the next layer, ultimately improving the quality of AM parts.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2021)