Article
Computer Science, Information Systems
Hsien-Pin Hsu
Summary: This research proposes a MDFA algorithm to address the CSP and FAP problems simultaneously for SMT machines, with features like multiple swarms, adaptive and discrete moving step. Experimental results show that MDFA outperforms other algorithms in terms of assembly time.
Article
Computer Science, Information Systems
Y. P. Tsang, C. H. Wu, W. H. Ip, C. K. M. Lee
Summary: This study utilizes the IIoT and federated learning to establish an intelligent decision support system for solder paste printing in the PCB assembly process. By deploying the IIoT-based squeegee blade, communication and interconnectivity between machines are improved, while a global machine intelligence model is aggregated in a decentralized and privacy-preserving manner, achieving automated and sustainable manufacturing management.
JOURNAL OF GRID COMPUTING
(2022)
Article
Engineering, Environmental
Iftikhar A. Soomro, Anser Ahmad, Rana H. Raza
Summary: This paper introduces a robust PCB classification system based on computer vision and deep learning, achieving high accuracy in e-waste recycling sorting by utilizing datasets under various conditions and a deep learning model.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Engineering, Environmental
Yanhe Nie, Yunxiang Jiang, Qiang Wang, Jianghao Chen, Sen Wang, Qike Zhang, Fumitake Takahashi
Summary: This study proposes the use of coal gasification slag (CGS) as an adsorbent for recovering gold from printed circuit boards (PCBs). The CGS was found to efficiently adsorb AuCl4- in solution, and the adsorption process was not significantly affected by pH, stirring speed, and temperature. The results suggest that the gold adsorption process is controlled by a chemical process and can be better described by pseudo-second-order kinetics and the Langmuir model. The recovery of gold by CGS not only helps to recycle solid waste but also enables the recycling of valuable resources in waste PCBs at a low cost.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Wonbeom Lee, Hyunjun Kim, Inho Kang, Hongjun Park, Jiyoung Jung, Haeseung Lee, Hyunchang Park, Ji Su Park, Jong Min Yuk, Seunghwa Ryu, Jae-Woong Jeong, Jiheong Kang
Summary: An elastic printed circuit board (E-PCB) is a conductive framework used for the assembly of stretchable electronics. This study presents a method using a liquid metal particle network (LMPNet) as an elastic conductor, which satisfies all the requirements for E-PCBs. The LMPNet enables the fabrication of high-density E-PCBs, allowing the integration of numerous electronic components to create highly stretchable skin electronics.
Article
Mathematics
Teeradech Laisupannawong, Boonyarit Intiyot, Chawalit Jeenanunta
Summary: This paper presents the application of a new mixed-integer linear programming model to the short-term scheduling of the pressing process in the fabrication process of multi-layer printed circuit board (PCB) manufacturing. The proposed model shows better size complexity compared to the previous model and outperforms it in terms of computational complexity.
Article
Mathematics
Teeradech Laisupannawong, Boonyarit Intiyot, Chawalit Jeenanunta
Summary: This paper discusses the scheduling of the pressing process in PCB manufacturing, presenting a novel MILP optimization model and a heuristic algorithm. Experimental results show that the MILP model can find optimal schedules for small- to medium-sized problems within 2 hours, while the 3P-PCB-PH can find optimal schedules in a shorter computational time.
Article
Thermodynamics
Dun Wu, Guojun Cai, Wenfei Chi, Xia Gao, Xianzeng Shi, Longjin Jiang, Shun Zhang
Summary: This study focuses on the physical and chemical properties of pyrolysis products from waste circuit board resin powder. Through various analysis methods, the composition and characteristics of solid and liquid phase products during pyrolysis were studied. Gas chromatography-mass spectrometry and gas composition analysis were used to determine the chemical structure and composition of the pyrolysis products.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Article
Green & Sustainable Science & Technology
Weifang Chen, Yanjun Chen, Yongkai Shu, Yinan He, Jinbo Wei
Summary: The non-metallic fraction of waste printed circuit board (WPCB) was found to be valuable after metal recovery, rich in organic polymer and inorganic materials which could serve as a source of chemicals and fuel. Through pyrolysis under different conditions, solid, liquid, and gaseous products were collected and characterized, showing that the products contained phenol, alkylated phenols, CO2, CH4, and H2. Pyrolysis pathways of WPCB disintegration were proposed based on the compositions of the products.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Biotechnology & Applied Microbiology
Sadegh Ghorbanzadeh, Seyed Morteza Naghib, Ali Sadr, Fatemeh Molaabasi, Wei Zhang
Summary: This article introduces the development of high performance and cost-effective gold screen-printed electrodes (SPEs) for electrochemical biosensing platforms. The article discusses the development procedure of the gold SPEs and presents their positive performance in electrochemical parameters. The study also demonstrates the successful fabrication of a simple breast cancer cell detection platform using the gold SPEs, showing cost-effectiveness and a linear calibration curve.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Thermodynamics
Pradeep Sahu, Prabu Vairakannu
Summary: Electronic wastes, especially printed circuit boards (PCBs), are thermally treated under N2 and CO2 conditions by pyrolysis and gasification processes. PCB pyrolysis at 500 degrees C yields 7.46% of tar with a calorific value of 31.28 MJ/kg. CO2 gasification of PCB mixture at 1000 degrees C achieves a conversion rate of 97.6%, resulting in high cold gas and exergy efficiencies. Co-gasification with high ash Indian coal increases the overall efficiency, and the residue can be used as a catalyst or additives in concrete material.
Article
Materials Science, Ceramics
Jie Tang, Xiaona Wan, Long Zhang
Summary: Hierarchically porous carbon/polyaniline electrodes derived from waste printed circuit board demonstrate exceptional electrochemical performance, including high rate capability, superior cyclic stability, and high specific capacitance. The synergistic effects between the specific surface area and porous structure contribute to the remarkable performance. Additionally, a potential mechanism explaining the superior performance is studied. This study not only offers a feasible strategy for recycling waste printed circuit boards but also provides insights for the rational synthesis and design of cost-effective electrode materials for supercapacitors.
CERAMICS INTERNATIONAL
(2023)
Article
Automation & Control Systems
Bin Xu, Xin-ke Feng, Xiao-yu Wu, Feng Luo, Lian-yu Fu, Xue-tao Zhai, Yong-hua Zhao, Hang Zhao, Jian-guo Lei
Summary: This paper proposed the use of micro electro-discharge machining (micro-EDM) for assisted machining of PCB micro-holes, studying the influence of micro-EDM voltage, pulse width, and pulse interval on hole mouth burr and hole nail head. Through experiments, it was found that high-quality PCB micro-holes could be obtained by adjusting the parameters of micro-EDM.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Robotics
Valentin N. Hartmann, Andreas Orthey, Danny Driess, Ozgur S. Oguz, Marc Toussaint
Summary: Robotic construction assembly planning is a parallelizable task and motion planning problem. We propose a planning system that parallelizes complex task and motion planning by solving smaller subproblems. By combining optimization methods and a sampling-based path planner, we can plan cooperative multi-robot manipulation with unknown arrival times. We demonstrate the robustness and scalability of this approach in multiple construction case studies and showcase the feasibility of executing the computed plans in the real world.
IEEE TRANSACTIONS ON ROBOTICS
(2023)
Article
Engineering, Electrical & Electronic
Chuanxiao Zheng, Hao Lu, Heng Hu, Wenjun Zhao, Yuxiang Yuan, Yongzhong Xu, Yanlin Wang, Yong Hu
Summary: This study investigated the short-circuit failure and open-circuit failure of gas discharge tubes, and developed a printed circuit board external open-circuit failure gas discharge tube. The structure and working mechanism of the external open-circuit failure gas discharge tube were presented, and the relationship between the arc temperature and short-circuit current was explored. The experimental results showed that the size of the short-circuit current was positively correlated with the open-circuit response time, which was significantly affected by the power frequency and location of the trip point.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Engineering, Industrial
Debiao Li, Jing Wang, Rui Qiang, Raymond Chiong
Summary: The research focuses on optimizing dyeing process in textile production, proposing an HDE algorithm combining chaos theory and local search algorithms. Special encoding and decoding scheme, along with differential evolution algorithm, are used to address parallel machine job sequencing issue, simplifying decision-making and reducing computational time.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Operations Research & Management Science
Kejia Chen, Debiao Li, Xiao Wang
JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING
(2020)
Article
Management
Shenghai Zhou, Debiao Li, Yong Yin
Summary: This study improves patient-and-physician matching and appointment scheduling in specialty care by developing a stochastic optimization model to minimize operational costs. Results show that matching significantly impacts operational costs, and the proposed algorithm provides efficient solutions for medium to large-size problems compared to traditional methods.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Computer Science, Interdisciplinary Applications
Debiao Li, Xiaoming Ruan, Qing Yue
Summary: This study proposed an automatic medication dispensing method based on meal orders to improve the efficiency of pharmacy care and reduce medication errors during dispensing. Using a novel three-stage assembly flowshop problem solution, the total completion times of packing prescription orders can be minimized.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Correction
Multidisciplinary Sciences
Mu Zeng, Yingyan Qiao, Zhaoying Wen, Jun Liu, Enhua Xiao, Changlian Tan, Yibin Xie, Jing An, Zishu Zhang, Zhanming Fan, Debiao Li
SCIENTIFIC REPORTS
(2022)
Article
Operations Research & Management Science
Shi Qiang Liu, Erhan Kozan, Mahmoud Masoud, Debiao Li, Kai Luo
Summary: The study introduces a critical problem in open-pit mining: how to determine appropriate sizes of mining jobs and optimize the allocation and sequencing of mining equipment. By introducing a new integrated planning-scheduling problem and combining it with the theory of parallel-machine flow shop scheduling, an innovative math-heuristic approach is proposed to solve this problem efficiently.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Automation & Control Systems
Debiao Li, Xiaoqiang Chen, Siping Chen
Summary: It is difficult for patients without medical knowledge to choose a capable physician based on nontransparent medical information, especially in specialty care. To address this problem, we propose a novel physician matching index (PMI) obtained by an analytical framework integrated with an improved multi-disease pre-diagnosing Bayesian network (BN) model. The proposed PMI can rectify misdiagnosis and guide patients in choosing physicians more appropriately based on patient preferences. Our case study in the ear, nose, and throat department demonstrates the effectiveness of the proposed approach.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Proceedings Paper
Engineering, Biomedical
Zihao Chen, Yuhua Chen, Yibin Xie, Debiao Li, Anthony G. Christodoulou
Summary: In this study, a DC non-Cartesian deep subspace learning framework for fast, accurate dynamic MR image reconstruction is proposed. Experimental results show that the proposed framework significantly improves reconstruction accuracy while accelerating the process.
2022 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (IEEE ISBI 2022)
(2022)
Meeting Abstract
Gastroenterology & Hepatology
Jamil S. Samaan, Yazan Abboud, Janice E. Oh, Yi Jiang, Arsen Osipov, Jun Gong, Andrew Hendifar, Katelyn Atkins, Quin Liu, Kenneth H. Park, Rabindra Watson, Nicholas N. Nissen, Shelly C. Lu, Debiao Li, Stephen J. Pandol, Simon K. Lo, Srinivas Gaddam
Meeting Abstract
Gastroenterology & Hepatology
Jamil S. Samaan, Yazan Abboud, Janice E. Oh, Yi Jiang, Arsen Osipov, Jun Gong, Andrew Hendifar, Katelyn Atkins, Quin Liu, Kenneth H. Park, Rabindra Watson, Nicholas N. Nissen, Shelly C. Lu, Debiao Li, Stephen J. Pandol, Simon K. Lo, Srinivas Gaddam
Meeting Abstract
Gastroenterology & Hepatology
Yi Jiang, Yazan Abboud, Jeff Liang, Jenan Ghaith, Daniel Lew, Arsen Osipov, Jun Gong, Andrew Hendifar, Katelyn Atkins, Quin Liu, Kenneth H. Park, Rabindra Watson, Nicholas N. Nissen, Debiao Li, Shelly C. Lu, Stephen J. Pandol, Simon K. Lo, Srinivas Gaddam
Meeting Abstract
Gastroenterology & Hepatology
Yazan Abboud, Jamil S. Samaan, Janice E. Oh, Yi Jiang, Daniel Lew, Jenan Ghaith, Christine Leyson, Rabindra Watson, Quin Liu, Kenneth H. Park, Shirley Paski, Arsen Osipov, Brent K. Larson, Andrew Hendifar, Katelyn Atkins, Nicholas N. Nissen, Debiao Li, Shelly C. Lu, Stephen J. Pandol, Simon K. Lo, Srinivas Gaddam
Meeting Abstract
Gastroenterology & Hepatology
Yazan Abboud, Jamil S. Samaan, Navkiran K. Randhawa, Janice E. Oh, Clara Q. Chen, Yi Jiang, Jenan Ghaith, Daniel Lew, Rabindra Watson, Quin Liu, Kenneth H. Park, Arsen Osipov, Brent K. Larson, Andrew Hendifar, Nicholas N. Nissen, Debiao Li, Shelly C. Lu, Stephen J. Pandol, Simon K. Lo, Srinivas Gaddam
Article
Engineering, Industrial
Debiao Li, Siping Chen, Raymond Chiong, Liting Wang, Sandeep Dhakal
Summary: This paper introduces an SOS-based SVR ensemble model for predicting the PCB cycle time in SMT production lines. The model optimizes parameters using the SVR model and SOS algorithm to improve prediction accuracy, which has been confirmed through experiments to be more efficient than current industrial solutions and other machine learning methods.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Meeting Abstract
Clinical Neurology
Jiayu Xiao, Matthew Padrick, Qi Yang, Tao Jiang, Shuang Xia, Fang Wu, Yu Guo, Debiao Li, Konrad Schlick, Shlee Song, Zhaoyang Fan
Article
Computer Science, Interdisciplinary Applications
Shenglin Wang, Jingqiong Zhang, Peng Wang, James Law, Radu Calinescu, Lyudmila Mihaylova
Summary: In Industry 5.0, Digital Twins provide flexibility and efficiency for smart manufacturing. Deep learning techniques are used to enhance the Digital Twin framework, enabling the detection and classification of human operators and robots during the manufacturing process. The framework shows promising results in accurately detecting and classifying actions of human operators and robots in various scenarios.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Yi Liu, Junpeng Qiu, Jincheng Wang, Junhe Lian, Zeran Hou, Junying Min
Summary: In this study, a double-sided robotic roller forming process was developed to form ultrahigh strength steels to thin-walled profiles. Synchronized laser heating and iterative path compensation method were used to reduce forming forces and achieve high-precision forming.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Zequn Zhang, Yuchen Ji, Dunbing Tang, Jie Chen, Changchun Liu
Summary: This paper proposes a digital twin system for human-robot collaboration (HRC) that overcomes the limitations of current methods and improves the overall performance. The system includes a human mesh recovery algorithm and uncertainty estimation to enhance the system's capabilities. Experimental results demonstrate the superiority of the proposed methods over baseline methods. The feasibility and effectiveness of the HRC system are validated through a case study involving component assembly.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Junmin Park, Taehoon Kim, Chengyan Gu, Yun Kang, Joono Cheong
Summary: This paper proposes a highly reliable and accurate collision estimator for robot manipulators in human-robot collaborative environments using the Bayesian approach. By assuming robot collisions as dynamic Markov processes, the estimator can integrate prior beliefs and measurements to produce current beliefs in a recursive form. The method achieves compelling performance in collision estimation with high accuracy and no false alarms.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Meng Wang, Kaixuan Chen, Panfeng Wang, Yimin Song, Tao Sun
Summary: In this study, a novel teleoperation machining mode and control strategy were proposed to improve efficiency and accuracy in small batch production of large casting parts. By using variable motion mapping and elastic compensation, constant cutting force was achieved, and the workpiece was protected by employing forbidden virtual fixtures and movement constraints on the slave robot.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhaoyu Li, Dong He, Xiangyu Li, Xiaoke Deng, Pengcheng Hu, Jiancheng Hao, Yue Hou, Hongyu Yu, Kai Tang
Summary: This paper presents a novel algorithm for planning a five-axis inspection path for arbitrary freeform surfaces. By converting the inspection path planning problem into a set-covering problem, the algorithm generates a near-minimum set of inspection paths that satisfy necessary constraints. Both computer simulation and physical inspection experiments confirm the effectiveness and advantages of the proposed method.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hang Zhang, Wenhu Wang, Shusheng Zhang, Yajun Zhang, Jingtao Zhou, Zhen Wang, Bo Huang, Rui Huang
Summary: This paper introduces a novel framework based on deep reinforcement learning for generating machining process routes for designated parts. The framework utilizes graph representations of parts and employs convolutional graph neural networks for effective processing. Experimental results demonstrate the ability of the proposed method to generate efficient machining process routes and overcome limitations of traditional methods.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Regina Kyung-Jin Lee, Hao Zheng, Yuqian Lu
Summary: Future manufacturing will witness a shift towards collaboration and compassion in human-robot relationships. To enable seamless knowledge transfer, a unified knowledge representation system that can be shared by humans and robots is essential. The Human-Robot Shared Assembly Taxonomy (HR-SAT) proposed in this study allows comprehensive assembly tasks to be represented as a knowledge graph that is understandable by both humans and robots. HR-SAT incorporates rich assembly information and has diverse applications in process planning, quality checking, and human-robot collaboration.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Jianhui He, Lefeng Gu, Guilin Yang, Yiyang Feng, Silu Chen, Zaojun Fang
Summary: This paper presents a new modular kinematic error model for collaborative robots and proposes a portable self-calibration device to improve their positioning accuracy.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hongwei Sun, Jixiang Yang, Han Ding
Summary: This paper proposes an asymmetrical FIR filter-based tool path smoothing algorithm to fully utilize the joint drive capability of robot manipulators. The algorithm considers the pose-dependent dynamics and constraints of the robot and improves motion efficiency by over 10% compared to traditional methods.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Dongsheng Ge, Huan Zhao, Yiwei Wang, Dianxi Li, Xiangfei Li, Han Ding
Summary: This paper focuses on learning a stable force control policy from human demonstration during contact transients. Based on the analysis of human demonstration data, a novel human-inspired force control strategy called compliant dynamical system (CDS) is proposed. The effectiveness of the proposed method is validated through simulation and real-world experiments.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Xuepeng Huang, Zhenzhong Wang, Lucheng Li, Qi Luo
Summary: This study models the stiffness of a robot and modifies the tool influence function (TIF) with the Preston equation in order to achieve uniform surface quality in robotic bonnet polishing (RBP) of optical components. Experimental results validate the accuracy of the modified model.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Mario D. Fiore, Felix Allmendinger, Ciro Natale
Summary: This paper presents a constraint-based programming framework for task specification and motion optimization. The framework can handle constraints on robot joint and Cartesian coordinates, as well as time dependency. It also compares with existing methods and provides numerical support through illustrative examples and case studies.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Yongxue Chen, Yaoan Lu, Ye Ding
Summary: This paper presents an optimization method for directly generating a six-degree-of-freedom toolpath for robotic flank milling. By optimizing the smoothness of the toolpath and the stiffness of the robot, the efficiency, accuracy, and finish of the machining are improved.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Chungang Zhuang, Haoyu Wang, Han Ding
Summary: This article proposes an end-to-end pipeline for synchronously regressing potential object poses from an unsegmented point cloud. It extracts point pair features and uses a voting architecture for instance feature extraction, along with a 3D heatmap for clustering votes and generating center seeds. An attention voting module is also employed to adaptively fuse point-wise features into instance-wise features. The network demonstrates robustness and improved performance in pose estimation.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
