Article
Green & Sustainable Science & Technology
Luca Benvenuti, Alberto De Santis, Paola Cacchione
Summary: This study analyzes a set of diet plans that are nutritionally adequate, healthy, affordable, and environmentally friendly, designing multiple menus to balance different goals while ensuring nutritional adequacy. Results show that cheaper menus have a larger environmental impact, but a trade-off can be made between carbon and water footprints while keeping the menu cost unchanged.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Robotics
Liang Ma, Yuquan Leng, Wei Jiang, Yuepeng Qian, Chenglong Fu
Summary: This study introduces an underactuated soft exoskeleton that can provide sequential assistance to the knee and ankle using only one motor. The experimental results show that the exoskeleton significantly reduces the load on the lower-limb joints and improves the effectiveness of motion.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Materials Science, Characterization & Testing
Seda Yapici Sunac, Zuleyha Degirmenci
Summary: With the increase in global population, industrialization, and advancing technologies, people's changing product usage habits are negatively impacting the ecological balance. The textile sector is a significant contributor to this issue, disrupting the ecological balance. Therefore, measures need to be taken to address the production, consumption, and waste management of textile products. This study aims to produce sample applications of waste and recycled products, as well as value-added products, that are environmentally and economically beneficial.
JOURNAL OF TESTING AND EVALUATION
(2023)
Article
Green & Sustainable Science & Technology
Mauro Cordella, Rafael Horn, Sun Hea Hong, Marco Bianchi, Marina Isasa, Rosan Harmens, Thomas Sonderegger, Hanna Pihkola
Summary: The assessment of sustainability progress in society requires a multidisciplinary approach integrating tools, indicators, and data across frameworks. The United Nations' Sustainable Development Goals (SDGs) and the life cycle sustainability assessment (LCSA) framework are important references for assessing sustainability at territorial and process/product/organizational levels. However, the integration between SDGs and LCSA is limited, and further research is needed to establish a coherent and operational connection between the two. The paper highlights the lack of consensus and the need to link LCSA metrics to SDGs goals for improved product sustainability and progress towards more sustainable territories.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Energy & Fuels
Ji Han, Pingfei Jiang, Peter R. N. Childs
Summary: This paper discusses key factors related to sustainable design regarding environmental impacts, and introduces a set of objective measures for evaluating sustainable product design concepts, including material, production, use, and end of life. A case study is conducted to demonstrate the use and effectiveness of these metrics. It is the first study focusing on the measurement of product design sustainability at the conceptual design stage, providing guidance to support designers in developing sustainable products.
Article
Green & Sustainable Science & Technology
Marco Haid, Julia N. Albrecht
Summary: This study examines sustainable tourism products in tourist destinations, proposing a framework for sustainable tourism products and emphasizing key themes and characteristics through interviews with destination managers.
Review
Energy & Fuels
Pingfei Jiang, Elena Dieckmann, Ji Han, Peter R. N. Childs
Summary: The study shows that publications on sustainable product design are mainly focused on environmental science and production journals, with popular topics including circular economy, life cycle assessment, sustainable management, and optimization. However, researchers have yet to effectively link sustainability research to product design activities, resulting in a lack of relevant research support to make products more sustainable.
Article
Green & Sustainable Science & Technology
Peng Zhang, Shaohua Jing, Zifeng Nie, Boyuan Zhao, Runhua Tan
Summary: This paper proposes a sustainable PSS development framework based on DCC theory to enhance PSS sustainability and social benefits by analyzing system complexity and solving problems. The framework helps to reduce conflicts in design attributes, enhance system stability, and improve the possibility of achieving FRs.
Article
Automation & Control Systems
Houcheng Li, Long Cheng, Ning Sun, Ran Cao
Summary: In this article, a novel underactuated finger exoskeleton is designed to assist grasping tasks for the elderly with weak muscle strength. The exoskeleton achieves finger preshaping and grasping objects with generic shapes, is lightweight and portable, and utilizes a multiobjective genetic algorithm to optimize contact forces. The admittance control is also implemented for compliance and fingertip grasping force control. Experiments have been conducted to verify the range of motion, grasping forces, and feasibility of the proposed index finger exoskeleton, demonstrating the effectiveness of the control algorithm.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Yong Zhong, Qixin Wang, Jiawei Yang, Chengcai Wang
Summary: This article presents the design of an innovative gliding robotic fish with a flexible tail. By combining critical modules of a glider with the structure of an underactuated robotic fish, swimming and gliding modes are achieved. The article applies an open and modular design method, establishes dynamic models, and conducts experiments and simulations to validate the performance and accuracy of the model.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Automation & Control Systems
Houcheng Li, Long Cheng, Ning Sun, Ran Cao
Summary: This article introduces a lightweight and portable finger exoskeleton for elderly individuals with weak muscle strength, which achieves both finger preshaping and grasping of generic objects. The optimization of contact forces through a multiobjective genetic algorithm improves grasping performance. Additionally, admittance control is applied to enhance compliance and fingertip grasping force control in different phases of the grasping task.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Review
Green & Sustainable Science & Technology
Denis Michalina, Peter Mederly, Hans Diefenbacher, Benjamin Held
Summary: This article analyzed global and European urban sustainability indicator frameworks, summarized their commonalities and differences, classified sustainability dimensions and thematic categories, and identified key indicators of urban sustainability. The results showed that differences in existing approaches contribute to inconsistencies in assessing sustainable development in cities.
Article
Engineering, Biomedical
Chang He, Cai-Hua Xiong, Ze-Jian Chen, Wei Fan, Xiao-Lin Huang, Chenglong Fu
Summary: The Armule exoskeleton was developed to mimic human natural movements for upper limb rehabilitation and showed significant improvements in clinical and kinematic metrics for stroke patients after 4 weeks of intervention. The postural synergy design concept and semi-transparent active control strategy contributed to active participation and motor control improvement.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Kratika Piparsania, Pratul Ch. Kalita
Summary: This study aims to validate and develop a comprehensive framework for achieving sustainable housing by collecting data from residents.
Article
Business
Carolina Villamil, Sophie Hallstedt
Summary: This study focuses on how sustainability can be integrated into company portfolio development through interviews with experts and representatives from manufacturing companies. It proposes a definition of sustainable product portfolio concept and suggests evaluation criteria from an industry perspective. Future research will aim to develop a method to guide manufacturing companies in integrating and implementing sustainability in product portfolios.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2021)
Article
Computer Science, Interdisciplinary Applications
Bin He, Xuanren Zhu, Dong Zhang
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
(2020)
Review
Engineering, Manufacturing
Bin He, Kai-Jian Bai
Summary: Intelligent manufacturing as the next-generation system improves productivity, reduces costs, and enhances flexibility. Sustainable manufacturing is gaining attention, with digital twin technology playing a crucial role in real-time monitoring and predictive maintenance of intelligent manufacturing systems.
ADVANCES IN MANUFACTURING
(2021)
Article
Green & Sustainable Science & Technology
Bin He, Xiaoyang Cao, Yicheng Hua
Summary: This paper analyzes the role of digital twin technology in achieving sustainable development goals, focusing on theoretical research on the detection process of massage chairs by intelligent detection robots, information fusion, and DS evidence theory. By establishing a quantitative model, determining weights using the entropy weight method, and evaluating the sustainability of products through data fusion, the comprehensive performance in sustainable design is improved.
JOURNAL OF CLEANER PRODUCTION
(2021)
Review
Computer Science, Interdisciplinary Applications
Bin He, Long Liu, Dong Zhang
Summary: This paper reviews digital twin-driven RUL prediction methods for gear performance degradation, including both physical model-based and virtual model-based approaches. It summarizes the performance and life test of various models in gear, and evaluates the advantages and disadvantages of different methods, encouraging future research in this area.
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Bin He, Tengyu Li, Jinglong Xiao
Summary: This paper proposes a digital twin-driven PID controller tuning method to address the issue of mechanical system dynamics characteristics being affected by controller performance degradation. By utilizing virtual real mapping, data fusion, and online identification, real-time feedback and closed-loop self-tuning of PID controller are achieved, with integration of intelligent optimization algorithm to enhance efficiency and accuracy. Modeling of the digital twin model is discussed in terms of physical prototyping, twin service system, and virtual prototyping, with controller tuning for gear transmission stability as an example to validate the method's practicality.
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Bin He, Qianyi Yu
Summary: This paper proposes a low carbon design approach using multigraph and colour marking to address the uncertainty of carbon footprint caused by unknown product material solution. It also discusses a multi-stage product low carbon design model for product life cycle and presents an algorithm for searching the alternative set of optimal design.
JOURNAL OF ENGINEERING DESIGN
(2021)
Article
Automation & Control Systems
Bin He, Fuze Xu, Pengchang Zhang
Summary: This paper introduces a novel lightweight non-holonomic spherical underactuated robot (NSUR) with lower energy consumption and fewer actuators compared to traditional robotics, and provides a theoretical kinematics analysis model for NSUR. The research highlights the potential of NSUR in sustainable manufacturing due to its lower energy consumption and fewer actuators.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Bin He, Fuze Xu, Dong Zhang, Weijia Wang
Summary: In an increasingly intelligent modern society, the identification and monitoring of mechanical equipment's performance degradation is crucial. This paper proposes a recognition model based on convolutional neural network (CNN) called stacking incremental deformable residual block network. By converting the one-dimensional signal recognition problem into an image recognition problem, the model achieves better recognition performance.
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
(2022)
Editorial Material
Robotics
Jin Wang, Silu Chen, Kun Bai, Bin He, Howard Li, Jinchuan Zheng
Summary: The article discusses how advanced functional materials, drives, sensors, and mechanisms have laid the foundation for the development of intelligent robots, with modeling and simulation tools playing a key role in driving these advancements. It also highlights the importance of new modeling and simulation methods in developing intelligent robotic systems and applications.
INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS
(2021)
Article
Automation & Control Systems
Rui Yu, Bin He
Summary: This paper investigates the effects of backlash and collision force variation on gear transmission systems. By establishing a gear collision kinetics model and using finite element method and Fourier grade numerical calculation, the study analyzes the impacts of different parameters on dynamic meshing force, vibration characteristics, and system stability.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Bin He, Jiachi Wu, Xuanren Zhu, Dong Zhang, Jintao Cao
Summary: With the global climate problem becoming increasingly serious, low-carbon product design has gradually become an important direction for sustainable manufacturing. The optimization design of product structure is an important means to achieve low-carbon operation. This paper constructs a new framework for low-carbon manufacturing, analyzes the load on the crane of the offshore wind power installation platform, and examines in detail the dynamic load generated by the crane during lifting, rotating, and luffing. The simulation results are compared with empirical formulas and dynamic analysis results, proving the rationality of the simulation results and dynamic theoretical analysis. The wind load on the crane is also calculated, providing support for the rigid-flexible coupling dynamic analysis of other parts of the solution. Based on the dynamic simulation and load analysis of the offshore platform crane, the low-carbon optimization design of the offshore platform pile leg is carried out to optimize the carbon emissions for the entire life cycle and verify the feasibility of the solution.
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
(2023)
Editorial Material
Computer Science, Interdisciplinary Applications
Ehsan T. Esfahani, Bin He, Chih-Hsing Chu, Ying Liu, Rahul Rai, Gaurav Ameta
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Bin He, Weihao Chen, Fangfang Li, Xin Yuan
Summary: A disease model based on graph theory was designed to construct a disease diagnosis system in agriculture, which effectively reduces water pollution caused by pesticide abuse. The model introduces the concept of guideposts in machine vision methods, solving the interference problem between different disease paths. The disease diagnosis algorithm based on this model achieves effective disease diagnosis even with missing input indicator sequences.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Bin He, Jiachi Wu, Jinglong Xiao
Summary: This paper studies the safety risk assessment of offshore platforms during the design stage, and proposes a general method to quantify loads and calculate strength. The results have significant implications for achieving sustainable development of offshore platforms.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Long Liu, Bin He, Dong Zhang, Hangyu Mao
Summary: In this study, the octave analysis method was used to expand the dimension of vibration and noise data of the gearbox, and a DBN noise prediction model based on PSO was established. The reliability of the octave analysis data was verified through experiment and simulation, and the results showed better accuracy compared to BP and SVM methods.
2022 8TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND ROBOTICS ENGINEERING (ICMRE 2022)
(2022)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
