Article
Engineering, Environmental
Abid Farooq, Jechan Lee, Hocheol Song, Chang Hyun Ko, Im-Hack Lee, Young-Min Kim, Gwang Hoon Rhee, Sumin Pyo, Young-Kwon Park
Summary: This study introduces a method to valorize hazardous waste like used COVID-19 face masks through catalytic gasification using Ni-loaded ZSM-5 type zeolites. The research found that 25% Ni loading on ZSM-5 is optimal for H-2 production. Using steam as gasifying agent can reduce the content of N-containing species in the gasification product, potentially hazardous air pollutants.
JOURNAL OF HAZARDOUS MATERIALS
(2022)
Article
Social Issues
Jose Fabian Rios Obando, Lina Marcela Sanchez Vasquez, Libardo Carlos Vargas Taborda
Summary: The study conducted in Armenia, Colombia in 2018 found that individuals in higher socioeconomic strata are more accepting of economic penalties for inefficient waste management, while those in lower socioeconomic strata prefer non-economic sanctions and subsidies as incentives for pro-environmental actions.
TECHNOLOGY IN SOCIETY
(2021)
Article
Green & Sustainable Science & Technology
Wei Liang, Zeqiang Zhang, Tao Yin, Yanqing Zeng, Yu Zhang
Summary: This study applies a mixed-integer non-linear programming (MINLP) and a multi-objective improved ant lion optimizer (MIALO) to solve the mixed-product multi-parallel disassembly line balancing problem (MPDLBP) in waste electrical and electronic equipment (WEEE) recycling. The MIALO algorithm minimizes multiple objectives such as workstation load balancing and hazard indices. The results demonstrate the effectiveness of MIALO compared to other existing algorithms, and it is successfully applied to optimize the disassembly of waste TV sets.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2023)
Review
Automation & Control Systems
Yingqi Lu, Weidi Pei, Kaiyuan Peng
Summary: This paper fills the research gap in the development and application of automated disassembly of Waste Electrical and Electronic Equipment (WEEE). Intelligent systems integrated in cognitive robots are helpful in handling the uncertainty and complexity of end-of-life products. The objectives of this research are to map out the current research status and necessity of disassembly automation, review the state of the art of automatic disassembly, and propose integrating Industry 4.0 technologies with disassembly automation for future WEEE treatment.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Review
Environmental Sciences
Gratien Twagirayezu, Abias Uwimana, Huang Kui, Christian Sekomo Birame, Olivier Irumva, Jean Claude Nizeyimana, Hongguang Cheng
Summary: The consumption of electric and electronic equipment (EEE) in developing countries has reached alarming levels, leading to the generation of massive amounts of electronic waste (e-waste). A diagnosis of e-waste proliferation in Rwanda is necessary to establish a sustainable management plan. The Rwandan national plans prioritize the use of information communication and technology (ICT) tools, considering ICT as an essential driver for a knowledge-based economy and development. However, outdated EEE is being dumped as e-waste in large quantities and at an increasing rate in Rwanda, often disposed together with other household waste. Consequently, proper e-waste management strategies including sorting/separation, repairs, reuse, recycling, remanufacturing, and disposal have been proposed to address this growing threat and safeguard the environment and human health.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Rupshikha Patowary, Kaustuvmani Patowary, Mohan Chandra Kalita, Suresh J. Deka, Jayanta Madhab Borah, Sanket J. Joshi, Ming Zhang, Wanxi Peng, Gaurav Sharma, Joerg Rinklebe, Hemen Sarma
Summary: Toxic and hazardous waste poses a serious threat to human health and the environment. Green remediation technologies are required to manage such waste materials. This study explored the role of Pseudomonas aeruginosa SR17 in alleviating naphthalene via catabolism and simultaneously producing biosurfactant. The results showed significant naphthalene degradation and biosurfactant production, which can have potential applications in environmental cleanup and as valuable microbial metabolites.
ENVIRONMENTAL RESEARCH
(2022)
Article
Urban Studies
Michael Osei Asibey, Rudith Sylvana King, Anne Mette Lykke, Daniel Kweku Baah Inkoom
Summary: This paper examines urban planners' perspectives on the e-waste conundrum and corresponding urban planning response. Findings indicate that urban planning in Ghana has been ineffective in shaping the e-waste sector positively, showing a lack of future-oriented initiatives and policies. Efforts should focus on increasing awareness, integrating informal e-waste recycling, and developing an efficient institutional framework for a more sustainable urban environment.
Article
Green & Sustainable Science & Technology
Jennifer Pollard, Mohamed Osmani, Christine Cole, Suzana Grubnic, James Colwill
Summary: This research developed a Circular Economy Business Model Innovation Process Framework through collaborative workshops with key stakeholders in the electrical and electronic equipment sector, providing manufacturers with a systematic approach to integrating the circular economy. The Framework, consisting of five interconnected layers, addresses factors such as business strategy, challenges, opportunities, and policies, enabling manufacturers to develop and implement a circular economy business model tailored to their offerings.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Jin Xu, Nengwu Zhu, Ruying Yang, Chong Yang, Pingxiao Wu
Summary: This study investigates the effects of synthetic extracellular polymeric substances (EPS) on the bioleaching of copper from waste printed circuit boards (PCBs). It finds that the composition of EPS plays a crucial role in the efficiency of copper bioleaching.
Article
Green & Sustainable Science & Technology
Lien-Chieh Lee, Lili Zhang, Xi Chen, Shusheng Gui, Shaobo Zhou
Summary: Waste electrical and electronic equipment (WEEE) is an inevitable waste in modern society, containing valuable and harmful materials. China has established a WEEE management system to address pollution issues. Importers and manufacturers of electrical and electronic equipment (EEE) pay treatment fees to facilitate recycling. In 2020, 45 million sets of WEEE were certified for recycling, with TVs, refrigerators, washing machines, computers, and air conditioners being the main items. Spatial analysis shows that recycling activities are concentrated in the mid-east and east regions of China.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Environmental Studies
Lucia Helena Xavier, Ellen Cristine Giese, Ana Cristina Ribeiro-Duthie, Fernando Antonio Freitas Lins
Summary: The concept of circular economy, focusing on reuse and recirculation of products and materials, has the potential to reduce demand for raw materials, minimize resource consumption, create job opportunities, and prevent negative impacts from natural resource exploitation. Urban mining techniques offer a sustainable way to manage e-waste, recover materials, reduce primary material intake, and stimulate circularity in the supply chain.
Article
Engineering, Environmental
Yingqi Lu, Bo Yang, Yichun Gao, Zhenming Xu
Summary: Recycling e-waste is important for eliminating environmental pollution and recovering critical materials. Current recycling methods involve manual labor for sorting waste ECs, which poses health risks. Automatic solutions are necessary to replace labor for efficient and safe sorting.
Article
Nanoscience & Nanotechnology
Jeong-Seok Nam, Kyusun Kim, Jiye Han, Dawoon Kim, In Chung, Dong Hwan Wang, Il Jeon
Summary: Lead-free perovskite solar cells have shown improved performance under ozone exposure, with varying effects on open-circuit voltage depending on the type of tin-based PSCs being studied.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Environmental Sciences
Victor Kouloumpis, Xiaoyu Yan
Summary: This study found that the CEReS method could potentially eliminate the environmental impacts related to toxicity but increase the climate change impacts by ten times based on a case study of a Polish coal mine. Using a lower carbon electricity mix and reducing water and energy requirements in some stages of the method are recommended to mitigate the climate change and fossil depletion impacts.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Betul Hande Gursoy-Haksevenler, Elif Atasoy-Aytis, Mehmet Dilaver, Sedat Yalcinkaya, Nur Findik-Cinar, Elif Kucuk, Tolga Pilevneli, Aybala Koc-Orhon, Esra Siltu, Sibel Mine Gucver, Yakup Karaaslan, Ulku Yetis
Summary: Many developing countries apply technology-based discharge standards, but it has been found that these standards are not effective in protecting aquatic life from hazardous pollutants. Through a pilot program in Turkey, it was discovered that transitioning to water-quality-based discharge limits is a more efficient approach to improve water quality.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
X. X. Li, W. D. Li, F. Z. He
ADVANCES IN ENGINEERING SOFTWARE
(2018)
Article
Green & Sustainable Science & Technology
S. Wang, Y. C. Liang, W. D. Li, X. T. Cai
JOURNAL OF CLEANER PRODUCTION
(2018)
Article
Green & Sustainable Science & Technology
Y. C. Liang, X. Lu, W. D. Li, S. Wang
JOURNAL OF CLEANER PRODUCTION
(2018)
Article
Computer Science, Artificial Intelligence
X. X. Li, F. Z. He, W. D. Li
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2019)
Article
Computer Science, Interdisciplinary Applications
L. C. Moreira, W. D. Li, X. Lu, M. E. Fitzpatrick
COMPUTERS & INDUSTRIAL ENGINEERING
(2019)
Article
Engineering, Industrial
Y. C. Liang, W. D. Li, X. Lu, S. Wang
JOURNAL OF MANUFACTURING SYSTEMS
(2019)
Article
Computer Science, Interdisciplinary Applications
L. C. Moreira, W. D. Li, X. Lu, M. E. Fitzpatrick
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2019)
Article
Computer Science, Artificial Intelligence
Shirine El Zaatari, Yuqi Wang, Yudie Hu, Weidong Li
Summary: The improved TP-LfD approach presented in this paper enhances the performance of collaborative robots in industrial applications by autonomously choosing frames from demonstrations, utilizing statistical and reinforcement learning algorithms to optimize critical task parameters, and integrating a B-Spline cut-in algorithm to improve path reproducing in dynamic manufacturing situations. This approach enables teaching a cobot to behave in a more intuitive and intelligent means for dynamic manufacturing applications.
JOURNAL OF INTELLIGENT MANUFACTURING
(2022)
Article
Computer Science, Artificial Intelligence
Yudie Hu, Yuqi Wang, Kaixiong Hu, Weidong Li
Summary: This paper proposes an improved GMM/GMR-based approach for collaborative robot path planning in dynamic manufacturing, which achieves adaptive obstacle avoidance through adaptive parameter modification and the introduction of the fruit fly optimization algorithm. The effectiveness and efficiency of the approach are validated through case studies.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Engineering, Manufacturing
Weidong Li, Xiaoyang Zhang, Sheng Wang, Xin Lu, Zhiwen Huang
Summary: To optimize the cost of cutting tools, a novel online system based on deep learning algorithms distributed over an edge-cloud computing architecture is proposed to predict tool wear conditions and remaining useful lives accurately and efficiently. The system includes a lightweight CNN-RF model on the edge device for assessing tool wear conditions and a CNN-LSTM model on the cloud for predicting the RUL of the cutting tool. Signal compression is used to minimize the transferred signal volumes and improve signal security. Experimental results show high prediction accuracies for tool wear and RUL, as well as a significant reduction in transferred signal volume. The system demonstrates great potential for real-world cutting tool optimization.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2023)
Article
Computer Science, Artificial Intelligence
Weidong Li, Yudie Hu, Yong Zhou, Duc Truong Pham
Summary: In this survey paper, the importance of human-robot collaboration (HRC) in the industry is highlighted. The paper provides an update on standards and implementation approaches for HRC safety, covering industrial robots, collaborative robots, and HRC. Various approaches to HRC safety are surveyed from the perspectives of pre-collision and post-collision, including sensing, prediction, learning, planning/replanning, and compliance control. The paper also discusses challenging issues and future prospects for HRC safety, providing recommendations for stakeholders in designing HRC-enabled industrial systems.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Engineering, Industrial
Yanghui Wang, Kaixiong Hu, Weidong Li, Lihui Wang
Summary: Laser Directed Energy Deposition (L-DED) is a significant metal additive manufacturing technology that has been gradually adopted by high-value manufacturing industries due to its high flexibility. This research presents a novel physics-driven temporal convolutional network (TCN) approach to accurately predict the melt pool size for high-quality L-DED processes.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Zhiwen Huang, Jiajie Shao, Weicheng Guo, Weidong Li, Jianmin Zhu, Qichao He, Dianjun Fang
Summary: Tool wear condition monitoring is crucial in intelligent manufacturing systems. This study proposes a tool wear prediction method based on multi-information fusion and genetic algorithm optimized Gaussian process regression. Experimental results show that the proposed method can effectively lower prediction error and uncertainty of flank wear width in milling.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Industrial
Y. C. Liang, W. D. Li, P. Lou, J. M. Hu
Summary: This paper presents a new system for thermal error prediction on heavy-duty CNC machines using LSTM networks and a fog-cloud architecture. By combining data-driven modeling with physics-based modeling, optimizing the number and location of thermal sensors, and reducing excessive data, the system improves prediction accuracy and computational efficiency. Practical case studies show that the system successfully reduces data transmission volume and improves machining accuracy.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)