Smart Tags as Enablers for Digital Product Passports in Circular Electronics Value Chains DOI Creative Commons
Liisa Hakola,

Fatemeh Abedi,

Sirpa Nordman

et al.

Circular Economy and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

Language: Английский

Discarded e-waste/printed circuit boards: a review of their recent methods of disassembly, sorting and environmental implications DOI Creative Commons
Emmanuel A. Oke, J.H. Potgieter

Journal of Material Cycles and Waste Management, Journal Year: 2024, Volume and Issue: 26(3), P. 1277 - 1293

Published: March 2, 2024

Abstract The improper disposal of discarded electronic and electrical equipment raises environmental health concerns, spanning air pollution to water soil contamination, underscoring the imperative for responsible management practises. This review explores complex composition printed circuit boards (DPCBs), crucial components in devices. Comprising substrates, elements solder, DPCBs showcase a heterogeneous structure with metal (30.0–50.0%) non-metal (50.0–70.0%) fractions. Notably abundant precious metals such as Au, Ag, Pd, offer compelling avenue recycling initiatives. inclusion heavy flame retardants adds complexity, necessitating environmentally sound methods. Ongoing research on smart disassembly, utilising 3D image recognition technology, underscores importance accurate identification positioning (ECs). targeted approach centred valuable components, highlights its significance, albeit challenges costs capacity limitations. In mechanical techniques grinding heat application are employed extract ECs, innovations addressing gas emissions damage induced by overheating. Chemical disassembly methods, encompassing epoxy resin delamination tin removal, present promising recovery options, whilst integration chemical electrochemical processes shows potential. Efficient sorting, both manual automated is post-disassembly, sorting technologies augmenting accuracy categorisation ECs. addition, explorations into NH 3 /NH 4 + solutions selective underscore stress necessity meticulous process optimisation sustainable PCB recycling. Challenges future perspectives have also been expounded.

Language: Английский

Citations

18
How to efficient and high-value recycling of electronic components mounted on waste printed circuit boards: Recent progress, challenge, and future perspectives DOI
Bo Niu,

E Shanshan,

Zhenming Xu

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 415, P. 137815 - 137815

Published: June 15, 2023

Language: Английский

Citations

38
Driving sustainable circular economy in electronics: A comprehensive review on environmental life cycle assessment of e-waste recycling DOI
Yifeng He, Mohammadali Kiehbadroudinezhad,

Homa Hosseinzadeh-Bandbafha

et al.

Environmental Pollution, Journal Year: 2023, Volume and Issue: 342, P. 123081 - 123081

Published: Dec. 7, 2023

Language: Английский

Citations

35
Comprehensive insights into aqua regia-based hybrid methods for efficient recovery of precious metals from secondary raw materials DOI
M. Mehedi Hasan Rocky, Ismail M.M. Rahman, Masaru Endo

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 495, P. 153537 - 153537

Published: June 28, 2024

Language: Английский

Citations

13
Effective and selective extraction of Au(III) and Pd(II) from practical e-waste by tridentate thioether extractants DOI

Xuan Huang,

Ming Yi,

Kewen Tang

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 495, P. 153555 - 153555

Published: June 27, 2024

Language: Английский

Citations

9
Sustainable Waste Electrical and Electronics Equipment Recycling in Nigeria, Policies and Emerging Technologies DOI

Oladunni B. Abogunrin-Olafisoye,

Oladayo Adeyi,

Abiola J. Adeyi

et al.

Environmental Quality Management, Journal Year: 2025, Volume and Issue: 34(3)

Published: Jan. 16, 2025

ABSTRACT Nigeria faces significant environmental and health risks due to rapid Waste Electrical Electronics Equipment (WEEE) generation, estimated at 500,000 tons annually. This systematic review analyses the situation of WEEE in Nigeria, examining existing policies, regulations, emerging technologies for sustainable recycling. The analysis reveals gaps legislation, inadequate infrastructure, primitive recycling methods, resulting severe pollution risks. Emerging technologies, such as waste‐to‐energy conversion, circular economy approaches, offer potential solutions. evaluates these technologies' effectiveness sustainability Nigerian context. Recommendations policy reforms, technological innovations, stakeholder engagement are provided inform evidence‐based decision‐making promote practices Nigeria.

Language: Английский

Citations

1
Recyclability and recovery of carbon from waste printed circuit boards within a circular economy perspective: A review DOI Creative Commons
Ziyu Wang, Guohe Huang, Chunjiang An

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 375, P. 124266 - 124266

Published: Jan. 24, 2025

Language: Английский

Citations

1
Microwave absorbent enhancement of multi-thermal field effect: Pyrolysis of waste printed circuit boards DOI

Botao Gao,

Shenghui Guo, Tong Han

et al.

Waste Management, Journal Year: 2025, Volume and Issue: 200, P. 114769 - 114769

Published: March 29, 2025

Language: Английский

Citations

1
Review on the gentle hydrometallurgical treatment of WPCBs: Sustainable and selective gradient process for multiple valuable metals recovery DOI

Xi-guang Li,

Qiang Gao,

Si-qi Jiang

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 348, P. 119288 - 119288

Published: Oct. 19, 2023

Language: Английский

Citations

17
EC-YOLO: Improved YOLOv7 Model for PCB Electronic Component Detection DOI Creative Commons
Shiyi Luo, Fang Wan,

Guangbo Lei

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(13), P. 4363 - 4363

Published: July 5, 2024

Electronic components are the main of PCBs (printed circuit boards), so detection and classification ECs (electronic components) is an important aspect recycling used PCBs. However, due to variety quantity ECs, traditional target methods for EC still have problems such as slow speed low performance, accuracy needs be improved. To overcome these limitations, this study proposes enhanced YOLO (you only look once) network (EC-YOLOv7) detecting targets. The uses ACmix (a mixed model that enjoys benefits both self-attention convolution) a substitute 3 × convolutional modules in E-ELAN (Extended ELAN) architecture implements branch links 1 arrays between improve feature retrieval inference. Furthermore, ResNet-ACmix module engineered prevent leakage function data minimise calculation time. Subsequently, SPPCSPS (spatial pyramid pooling connected spatial block has been improved by replacing serial channels with concurrent channels, which improves fusion image features. effectively capture information accuracy, DyHead (the dynamic head) utilised enhance model's size, mission, sense space, captures accuracy. A new bounding-box loss regression method, WIoU-Soft-NMS finally suggested facilitate prediction localisation experimental results demonstrate YOLOv7 net surpasses initial other common methods. proposed EC-YOLOv7 reaches mean ([email protected]) 94.4% on PCB dataset exhibits higher FPS compared original model. In conclusion, it can significantly high-density recognition.

Language: Английский

Citations

8