Article
Engineering, Mechanical
Lin Li, Chaozhong Guo, Jihong Yan, Fu Zhao, John W. Sutherland
Summary: The environmental performance of machining processes is crucial for sustainable manufacturing, yet few studies have addressed energy and material flows using a common perspective. This paper proposes an environmental evaluation method for milling tool path strategies that considers energy and material flows, providing a quantitative calculation to characterize total exergy loss. The method aims to support intelligent manufacturing and assist manufacturers in making reliable decisions to reduce environmental impact during the machining stage in the industry 4.0 era.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2022)
Article
Green & Sustainable Science & Technology
Wo Jae Lee, Byung Gun Joung, John W. Sutherland
Summary: Different products have varying environmental impacts throughout their life cycle stages. Maintenance for product life extension is often seen as beneficial for the environment, but in some cases, early product failure can lead to a better performing and more environmentally friendly replacement. This paper develops a methodology using time-varying efficiency erosion models to quantify and compare the environmental and economic performance of different maintenance strategies. A case study on the maintenance of an electric motor driving a pump is presented, and various maintenance strategies are compared in terms of their environmental and economic performance. This method can help manufacturing plants select maintenance strategies that optimize both environmental and economic outcomes.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Chemistry, Analytical
Mustafa Abdallah, Byung-Gun Joung, Wo Jae Lee, Charilaos Mousoulis, Nithin Raghunathan, Ali Shakouri, John W. W. Sutherland, Saurabh Bagchi
Summary: Smart manufacturing systems are the future of manufacturing applications, aiming to detect faults quickly and reduce maintenance costs. This research analyzes four datasets from sensors in manufacturing testbeds, using deep learning techniques to identify sensor defects. The study also evaluates the performance of traditional and ML-based forecasting models for predicting sensor data. The findings demonstrate that careful selection of training data and transfer learning can improve predictive failure classification, enabling predictive maintenance.
Article
Engineering, Industrial
Bingbing Li, Tongzi Wu, Shijie Bian, John W. Sutherland
Summary: In order to provide affordable and energy-saving solutions for small and medium-sized manufacturers (SMMs), a unified framework is proposed to generate predictive models that can support real-time disaggregation of power consumption from combined inputs and identify machine states automatically. The framework converts raw power consumption into a time series with historical pattern detection capabilities, while a learning architecture uses stacked long short-term memory (LSTM) layers as encoders for embedding generation with sequential awareness. Experimental results show a minimum accuracy of 93.65% in the ideal case of real-time energy usage and machine state prediction.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Industrial
Haiyue Wu, Matthew J. Triebe, John W. Sutherland
Summary: This paper proposes a Transformer-based classifier that can efficiently identify different known types and severity levels of fault conditions, as well as detect novel faults. The method utilizes time-frequency spectrograms transformed from raw vibration signals as input to the classifier for known fault classification. When detecting a novel fault condition, a simple yet effective technique based on Mahalanobis distance is adopted to determine whether the fault comes from a previously unseen condition, and the model is retrained using incremental learning. Experimental results demonstrate that the proposed method outperforms baseline models and a cutting-edge model in terms of fault diagnosis and novelty identification.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Article
Environmental Sciences
Huaqing Li, Lin Li, Fengfu Yin, Fu Zhao, John W. Sutherland
Summary: This paper proposes a classification method to improve the accuracy of waste smartphone plastics classification by optimizing spectral data preprocessing and spectral feature extraction.
JOURNAL OF MATERIAL CYCLES AND WASTE MANAGEMENT
(2023)
Article
Engineering, Environmental
Sidi Deng, Zhongqing Xiao, Wencai Zhang, Aaron Noble, Subodh Das, Yuehwern Yih, John W. Sutherland
Summary: This study proposes and evaluates a novel process called gas-assisted microflow extraction (GAME) for efficiently recovering precious metals from waste printed circuit boards (WPCBs). An economic analysis is conducted to verify the feasibility of the GAME-based process at an industrial scale, and cost-effective production strategies are further investigated. This study may establish a paradigm for economically-informed decisions in sustainable technologies.
RESOURCES CONSERVATION AND RECYCLING
(2023)
Article
Engineering, Environmental
Thomas Maani, Nehika Mathur, Chuanbing Rong, John W. Sutherland
Summary: Due to the growing interest in decarbonization, clean energy technologies like electric vehicles and wind turbines are receiving increased attention. These technologies rely on powerful rare earth permanent magnets, specifically Neodymium-Iron-Boron magnets. Neodymium, a critical material subject to supply chain risks, can be mitigated through circular economy strategies. This study estimates Neodymium use in the US, predicts end-of-life flows of products containing these magnets, evaluates the potential for recovering Neodymium from these products, and assesses its significance in meeting future demand.
RESOURCES CONSERVATION AND RECYCLING
(2023)
Article
Engineering, Manufacturing
Anant Raj, Dongli Huang, Benjamin Stegman, Hany Abdel-Khalik, Xinghang Zhang, John W. Sutherland
Summary: The limited repeatability of part quality in additive manufacturing hinders its transition to large-scale manufacturing. Process fluctuations, both random and systemic, contribute to the variations in part properties. In-situ sensors are employed to measure these fluctuations and improve efficiency by estimating systemic variations in the signals.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Article
Thermodynamics
Junhua Zhao, Li Li, Lingling Li, Yunfeng Zhang, Jiang Lin, Wei Cai, John W. Sutherland
Summary: This study establishes a multi-dimension coupling model of energy consumption for machining process, which considers the specifications of machine tools, workpieces, and processes. The influence factors of energy consumption are systematically analyzed and the internal interact relationship among each dimensional parameter is illustrated. Experimental results show that the optimal machining configurations can effectively reduce energy consumption and improve the energy-efficiency of CNC machining.
Article
Chemistry, Multidisciplinary
Xiaoyu Zhou, Mariappan Parans Paranthaman, John W. Sutherland
Summary: There is a growing demand for clean energy technologies that rely on high-performance rare earth permanent magnets (REPMs) such as neodymium-iron-boron (NdFeB) magnets. However, the supply of these magnets is at risk due to China's dominance in rare earth element supply. This paper compares the economic feasibility of two processing methods, injection molding (IM) and big-area additive manufacturing (BAAM), for producing bonded magnets from recycled magnet materials. The results show that BAAM is more profitable and economically viable than IM.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2023)
Article
Engineering, Manufacturing
K. F. Ehmann, S. G. Kapoor, T. R. Kurfess, A. J. Shih, M. J. Triebe, J. W. Sutherland
Summary: In 1973, a group of distinguished manufacturing engineering researchers held the first North American Metalworking Research Conference, which later became the North American Manufacturing Research Conference. In 1982, the North American Manufacturing Research Institution (NAMRI) merged with SME. This article commemorates 50 years of accomplishments, milestones, and evolving themes while reflecting on current challenges and exploring ways to contribute and innovate in advanced manufacturing.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Article
Engineering, Manufacturing
Anant Raj, Charlie Owen, Benjamin Stegman, Hany Abdel-Khalik, Xinghang Zhang, John W. Sutherland
Summary: The critical issue of part quality repeatability in metal additive manufacturing techniques, particularly for sensitive applications like aerospace and nuclear, can be alleviated by in-situ monitoring and control. This study develops machine learning models based on in-situ monitoring to predict important properties of printed parts. The models accurately predict ductility-related properties and distinguish between high-density and low-density samples.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Article
Engineering, Manufacturing
K. F. Ehmann, S. G. Kapoor, T. R. Kurfess, A. J. Shih, M. J. Triebe, J. W. Sutherland
Summary: In 1973, a group of influential manufacturing engineering researchers organized the first NAMRC, which eventually evolved into NAMRI in 1982. As we celebrate 50 years of success, it is a time to remember our achievements, milestones, and evolving themes. We also reflect on the current challenges and explore how we can contribute and innovate in advanced manufacturing in the future.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Article
Energy & Fuels
Jesus R. Perez-Cardona, John W. Sutherland, Scott D. Sudhoff
Summary: Electric Vehicles (EVs) are considered clean energy technologies in the transportation sector, but the environmental footprint associated with their materials raises concerns about their cleanliness. This study aims to address the supply risk (SR) issues of EVs by developing a design model for electric traction motors using a genetic algorithm. The model prioritizes minimizing motor mass, energy consumption, and materials with high SR. The case study of a surface-mounted permanent magnet synchronous motor demonstrates the relationships between objectives and variables. Future work should consider minimizing environmental impact and cost.
IEEE OPEN ACCESS JOURNAL OF POWER AND ENERGY
(2023)
Article
Engineering, Environmental
Yui Kawasaki, Sayaka Nagao-Sato, Misa Shimpo, Kahori Fujisaki, Emi Yoshii, Rie Akamatsu, Petra Warschburger
Summary: This study qualitatively describes sustainable dietary behaviors (SDBs) that Japanese and German adults can implement in their lives, and quantitatively compares the similarities and differences in understanding SDBs between the two samples. The study found that Japanese participants were more focused on food waste prevention, while German participants were more focused on solving environmental problems.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Kechun Chen, Yuan Ding, Liming Yang, Zhihao Wang, Haoxuan Yu, Difan Fang, Yufa Feng, Liying Hu, Chenxi Xu, Penghui Shao, Xubiao Luo, Liang Chen
Summary: This study proposes a targeted repair scheme for the recovery of graphite anodes from spent LIBs by systematically characterizing and analyzing the structure and composition of spent graphite (SG). The results show that the repair scheme achieves effective SG repair and the repaired graphite anode displays excellent lithium storage performance.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Takao Ueda, Shigeki Koyanaka, Tatsuya Oki
Summary: Fires caused by accidental crushing of batteries are a serious issue in the e-waste recycling process. A new in-line sorting system that uses X-ray scanning and deep learning has been developed to accurately detect batteries. Through a validation study, the system achieved higher accuracy compared to other existing programs.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Hannes Geist, Frank Balle
Summary: Research on circular economy often lacks empirical data, especially in the theory of circular process design and design for remanufacturing. This study systematically collected and analyzed engineering data on seven remanufacturing processes in the European automotive remanufacturing industry for the first time, providing empirical support for circular engineering challenges, potentials, and solutions.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Xiaojing Li, Fan Lue, Nanlin Liao, Hua Zhang, Na Yang, Pinjing He
Summary: This study assesses and predicts the greenhouse gas emissions on the timeline as waste treatment technologies develop in Shanghai from 1991 to 2025 using the Life Cycle Assessment (LCA) methodology. The findings demonstrate that GHG emission has reached net-zero in 2019 owing to the application of alternative technologies and waste segregation.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Bingchun Liu, Haoyang Wang, Xiaoqin Liang, Yibo Wang, Zijie Feng
Summary: The expansion of the photovoltaic market has resulted in a significant increase in PV waste. Therefore, conducting scientific research to determine the importance of the circular economy for sustainable growth in the PV industry is essential. The study demonstrates that accurate prediction of PV installed capacity and quantifying the importance of recycling in balancing the supply and demand of raw materials can be achieved through a multi-factor installed capacity prediction model and recovery potential prediction.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Review
Engineering, Environmental
Chuanzhen Zhang, Baojing Gu, Xia Liang, Shu Kee Lam, Yi Zhou, Deli Chen
Summary: Reactive nitrogen is crucial for agriculture and human nutrition, but mismanagement can have detrimental effects on human health and ecosystem services, hindering the achievement of the 2030 Sustainable Development Goals. Progress towards nitrogen-related targets varies across countries, highlighting the need for integrated management to achieve overall synergies.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Alessandro Gatto, Marijke Kuiper, Corina van Middelaar, Hans van Meijl
Summary: This study examines the economic and environmental effects of transitioning towards more circular food systems in the European Union (EU27) by feeding animals with low-opportunity-cost feed and better utilizing local feed resources. The results show that providing subsidies for circularity and promoting the use of low-cost feed can increase animal production, but also have negative impacts on land use and emissions. On the other hand, promoting domestic feed sourcing through import tariffs can decrease animal production and greenhouse gas emissions in agriculture. However, complementary policies are needed to mitigate drawbacks and enhance benefits of a more circular agri-food system.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Jinbo Zhang, Liu Chen, Yulei Xie, Pingjian Yang, Zheng Li, Huaicheng Guo, Yang Zhang, Lirong Liu
Summary: This study examines the impact of carbon taxes on low-carbon development and climate change mitigation. By constructing a cross-system bi-layer model, the study finds that reasonable carbon taxes can promote the stability of the energy network, reduce carbon emissions and air pollutants, and optimize production efficiency and the structure of the energy system. This study contributes to a better understanding of the effects and implementation pathways of carbon taxes.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Konstantin Born, Mehmet Metehan Ciftci
Summary: Increasing recycling of metals is important for reducing reliance on mining, but it cannot fully meet future metal demand. Primary production of metals is expected to continue rising, highlighting the need for alternative circular economy strategies such as demand reduction and mitigating harmful impacts of primary metal production.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Yinqiu Ma, Lin Huang, Jiahui Li, Wei Cao, Yumei Cai
Summary: Afforestation and reforestation, such as China's Grain for Green Program, have shown to effectively mitigate greenhouse gas emissions and contribute to carbon sink capacity. This study highlights the significant carbon potential of the program and its potential application in other countries to reduce CO2 in the atmosphere.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Arlind Dervishaj, Kjartan Gudmundsson
Summary: This paper reviews digital tools for supporting the Circular Economy (CE) in the built environment and provides suggestions. The study identifies limitations in the functionalities of current tools, including a lack of representative data for LCA and underdeveloped circularity indicators. Further development is needed in terms of interoperability aspects, integration of more sources of data for LCA and circularity, and possibilities for a comprehensive evaluation of design choices.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Mohamadreza Y. Azarfam, Anuj Maheshwari, Frank D. Blum, Siddhesh Chaudhari, Clinton Switzer, Ranji Vaidyanathan, Jay C. Hanan, Sudheer Bandla
Summary: This study introduces a feasible method for manufacturing recycled composites using post-consumer carpets and recycled resin. The resulting composites have impressive strength and modulus, surpassing commercial thermoplastics and making them suitable for structural applications. This research presents a promising approach to address carpet landfilling and reduce reliance on additives.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Pujiang Shi, Tianle Huang, Hong Kit Lim, Chiew Kei Tan, Jong-Min Lee, Chor Yong Tay
Summary: This study developed a highly porous bioadaptive 3D sponge-like construct from plastic materials in discarded keyboards for advanced in vitro applications. The findings demonstrate the potential of using discarded keyboards as a waste-to-resource feedstock to achieve waste reduction and maximize value-capture.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Kuo-Jui Wu, Hailing Qiu, Caiyan Huang, Anthony S. F. Chiu, Ming-Lang Tseng
Summary: Government resource allocation practices for achieving carbon neutrality should be guided by dynamic system theory to identify potential dynamics. Carbon intensity control dynamics have a significant influence on other dynamics.
RESOURCES CONSERVATION AND RECYCLING
(2024)
