Article
Materials Science, Multidisciplinary
Peng Yue, Juan Ma, Changhu Zhou, Jean W. Zu, Baoquan Shi
Summary: The study focused on the combined damage mechanism reflecting the fatigue behavior of aero-engine turbine blades, presenting a combined high and low cycle fatigue life prediction method and establishing a dynamic reliability model. Experimental and field data were used to validate the accuracy of both models.
INTERNATIONAL JOURNAL OF DAMAGE MECHANICS
(2021)
Article
Engineering, Mechanical
Shuang Qiu, Haitao Cui, Hongjian Zhang, Weidong Wen, Junhua Guo
Summary: This paper develops a dual-threshold modelling approach to characterize fatigue performance and predict the fatigue life of turbine blades and their alloys under combined high and low cycle fatigue. The approach investigates the influence of high cycle fatigue superimposed to low cycle fatigue on fatigue life through the HCF and LCF stress amplitude ratio threshold. The approach has the potential to be generalized to other mechanical structures and can obtain higher prediction accuracy than others.
INTERNATIONAL JOURNAL OF FATIGUE
(2022)
Article
Engineering, Mechanical
F. Zhu, M. L. Zhang, C. J. Zhang, P. F. He, Y. Dai
Summary: Combined low and high cycle loading has a significant impact on the fatigue performance of AISI 4140 steel compared to pure low or high cycle loading. This study investigated the combined low and high cycle fatigue responses of AISI 4140 steel at different frequency ratios (20%-30%) and stress amplitude ratios (100-1000). The results showed that higher stress amplitude and frequency ratios led to shorter fatigue life. A fatigue life prediction model was developed based on crystal plasticity theory and microstructure evolution parameters, which accurately predicted the fatigue life within thrice the scatter band.
INTERNATIONAL JOURNAL OF FATIGUE
(2023)
Article
Engineering, Mechanical
Pengshuai Liu, Xiaowei Wang, Qin Shen, Fangjie Li, Min Liu, Yujuan Sun
Summary: A combined high and low cycle fatigue (CCF) life prediction model considering the loading interaction is established based on the analysis of test data and Miner's rule. Introducing coupled damage, the model determines the coupled damage coefficient K by multiplying the high cycle fatigue damage and the low cycle fatigue damage. The coefficient K is positively correlated with the high cycle stress ratio R according to the analysis of the test data. An interaction factor is introduced to correct the coefficient K and reflect the loading interaction effect. The proposed model exhibits higher prediction accuracy and is more suitable for predicting the fatigue life of CCF, as confirmed by the verification and comparison with other models using CCF experimental data of four materials.
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
(2023)
Article
Chemistry, Physical
Zhanzhan Tang, Zheng Chen, Zhixiang He, Xiaomei Hu, Hanyang Xue, Hanging Zhuge
Summary: This study investigated the combined effects of high and low cycle fatigue loads on the performance of low alloy steel, identifying that prior HCF damages significantly decrease LCF life. The research also found that pre-fatigue damages in bridge joints can lead to significant increases in fatigue damages.
Article
Materials Science, Multidisciplinary
Jun Hou, Xiaowei Wang, Hui Guo, Yansong Wang, Fangjie Li, Qin Shen
Summary: By analyzing the characteristics of the Miner's rule and the Manson-Halford model, a nonlinear fatigue damage accumulation model is established. It considers the interaction effect of loading by introducing an interaction factor. The prediction results show that the proposed model has higher accuracy.
INTERNATIONAL JOURNAL OF DAMAGE MECHANICS
(2023)
Article
Engineering, Mechanical
Hengyao Dang, Anrui Liang, Ran Feng, Jingzhou Zhang, Xin Yu, Yongbo Shao
Summary: This study explores the mechanical properties and low-cycle fatigue behavior of corroded austenitic and ferritic stainless steels through experimental tests. It reveals that dry/wet cycle conditions have a more severe impact on the strength and fatigue life of ferritic stainless steel. The stress concentration and notch effect of corrosion pits are identified as the main factors leading to the decrease in fatigue life of ferritic stainless steel.
INTERNATIONAL JOURNAL OF FATIGUE
(2022)
Article
Materials Science, Multidisciplinary
Yang Guang, Du Guojun
Summary: The microstructure of martensitic steel was analyzed using transmission electron microscopy and X-ray diffraction. Low-cycle fatigue (LCF) tests were conducted on martensitic steel with different strain amplitudes using an MTS universal hydraulic servo testing machine. The damage accumulation and cyclic elastic-plastic constitutive model of martensitic steel were studied, and the influence of tempering on hysteretic loop and fatigue damage was discussed. With the tempering temperature increasing, the area of the hysteresis loop increased, hysteresis energy increased, and fatigue life decreased.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Metallurgy & Metallurgical Engineering
Ye Jin Kim, Young Min Kim, Jun Ho Bae, Soo-Hyun Joo, Sung Hyuk Park
Summary: The influence of extrusion temperature on the microstructure, mechanical properties, and low-cycle fatigue (LCF) properties of commercial AZ91 and nonflammable SEN9 alloys was investigated. The materials extruded at 300°C exhibited finer grains and increased compressive yield strength compared to those extruded at 400°C. In LCF tests, 400°C extruded materials showed lower stress-activated twinning and longer fatigue lives. A fatigue life prediction model based on total strain energy density and the number of cycles to fatigue failure was established for both alloys.
JOURNAL OF MAGNESIUM AND ALLOYS
(2023)
Article
Instruments & Instrumentation
Junling Fan
Summary: A thermography-based energetic damage model is proposed to evaluate the high-cycle fatigue behavior of welded joints, with experiments confirming the accuracy of predicted residual life under multistage loading.
INFRARED PHYSICS & TECHNOLOGY
(2021)
Article
Mechanics
Bin Li, Chen Chen, Zhi Qin, Hongqian Xue
Summary: A fatigue life prediction model is proposed for as-received 7075-T6 Al alloy material in the high to very high cycle fatigue (VHCF) regime. The model utilizes a crystal plasticity finite element (CPFE) framework and incorporates the modified Ohno-Wang constitutive model to account for the evolution of back stress. Experimental validation shows that the model accurately predicts VHCF life and captures 72.8%-81.3% of the experimental fatigue life. Additionally, the model successfully captures localized deformation at the grain scale considering the heterogeneity of mechanical properties.
ENGINEERING FRACTURE MECHANICS
(2023)
Article
Engineering, Mechanical
Michal Bartosak, Jakub Horvath, Zdenek Pitrmuc, Marie Rohlova
Summary: The phase angle in TMF tests has a significant influence on the dominant damage mechanism and observed lifetime. A modified damage model has been proposed to account for the effect of the phase angle.
INTERNATIONAL JOURNAL OF FATIGUE
(2021)
Article
Engineering, Mechanical
Vito Dattoma, Marta De Giorgi, Riccardo Nobile
Summary: This study measured the residual stress induced on Inconel 718Plus superalloy cylindrical specimens before and after applying load cycles under strain control. Through low-cycle fatigue testing and X-ray diffraction measurements, a comprehensive analytical model was derived to describe the relaxation process associated with both the initial cycles and the continuous application of load cycles.
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
(2023)
Article
Materials Science, Multidisciplinary
Guo Zheng, Zengqiang Cao, Yangjie Zuo
Summary: This study investigated the mechanisms of fatigue life enhancements of electromagnetic driving dynamic cold expansion (DCE) open holed sheets by testing fatigue life and obtaining residual stress fields experimentally and numerically. A fatigue life prediction method based on three-dimensional stress distributions was proposed. The results showed that DCE method extended higher fatigue life and produced more uniform residual stress along the hole axial direction than static cold expansion (SCE) method.
MATERIALS TODAY COMMUNICATIONS
(2022)
Article
Construction & Building Technology
Jianchao Xu, Tibo Zhao, Jieqiong Wu, Bo Diao
Summary: This study investigates the fatigue life of reference reinforced concrete (RC) beams and the residual fatigue life of RC beams after pre-fatigue loading and chloride exposure. It is found that fatigue behaviors significantly degrade when the pre-fatigue cycles range from 1% to 30% of the reference fatigue life, with more obvious degradations observed when the cycles reach 10% of the reference fatigue life. The fatigue life of corroded and uncorroded beams can be modeled using the two-parameter Weibull distribution, and a reliability assessment method is proposed to determine the minimum safety fatigue life of RC structures with chloride exposure.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Mechanics
Francesco De Vanna, Alberto Benato, Francesco Picano, Ernesto Benini
Summary: The work presents a general strategy for designing high-order conservative co-located finite-difference approximations of viscous/diffusion terms for flows with extreme variations. Tests show proposed method outperforms standard discretization in accurately describing flows with variable diffusive properties. This discretization is recommended for flows with highly varying viscosity fields, providing a more robust approximation of diffuse terms.
Article
Energy & Fuels
Giovanna Cavazzini, Francesco Giacomel, Alberto Benato, Francesco Nascimben, Guido Ardizzon
Summary: This study numerically analyzed the inner fluid dynamics of a scroll compressor, revealing the negative impact of variations in axial clearance on fluid flow and compressor performance. Different modeling strategies and numerical models were compared to provide guidelines for designing more efficient scroll compressors.
Article
Chemistry, Multidisciplinary
Anna Stoppato, Alberto Benato, Francesco De Vanna
Summary: The study focuses on assessing the environmental impact of storage systems integrated with renewable energy plants, highlighting the importance of proper definition of functional unit in the analysis. It shows that the integration of storage systems with renewable energy has the potential to improve network performance and reduce energy production costs, but the overall environmental sustainability needs further attention. Environmental concerns regarding electrochemical accumulators, particularly heavy metals and chemical components, are discussed. Additionally, the study emphasizes the positive effects of material reuse and recycling in reducing overall impacts.
APPLIED SCIENCES-BASEL
(2021)
Article
Energy & Fuels
Youcef Redjeb, Khatima Kaabeche-Djerafi, Anna Stoppato, Alberto Benato
Summary: The Algerian economy heavily relies on fossil fuels for electricity generation, but the government is pushing for renewable energy development. To support this effort, a mathematical tool called "Improved Rankine Cycle Plant Designer" has been developed to optimize steam and organic Rankine units for comprehensive technical, economic, environmental, and safety performance.
Article
Energy & Fuels
Carola Leone, Giorgio Piazza, Michela Longo, Stefano Bracco
Summary: This study proposes a new methodology to aid the electrification of local public transport by evaluating real drive cycles of traditional buses and simulating the consumption of electric buses, then using the results to design optimal charging infrastructure. The methodology is applied to a case study in Algeciras Bay, where fast-charging infrastructure sizes and locations are proposed based on real measurements. Future developments include considering other bus lines for the defined charging systems.
Article
Energy & Fuels
Alberto Benato, Alarico Macor
Summary: The study explores the application of biogas produced from anaerobic digestion of biodegradable waste in terms of its impact on human health and the effectiveness of emission reduction technologies. The results show that NOx is the main contributor to damage to human health, and the denitrification system or oxidizing converter is the most cost-effective technology for reducing emissions.
Article
Energy & Fuels
Alberto Benato, Chiara D'Alpaos, Alarico Macor
Summary: Energy production from biogas can make a significant impact in various European countries, especially in Italy. However, current legislation and incentive policies in Italy are hindering the growth of the biogas sector. This study investigates the potential of improving biogas power plants to prolong their operational lifespan.
Article
Green & Sustainable Science & Technology
Alice La Fata, Massimo Brignone, Renato Procopio, Stefano Bracco, Federico Delfino, Riccardo Barilli, Martina Ravasi, Fabio Zanellini
Summary: This paper describes a MATLAB-based Mixed Integer Linear Programming Energy Management System (MB-EMS) for optimizing the operating costs of a polygeneration system. The system is able to handle various parameters and constraints, and can perform complex optimization calculations in a short amount of time. It can be used for both real-time operation and long-term planning.
Article
Energy & Fuels
Marialaura Di Somma, Amedeo Buonanno, Martina Caliano, Giorgio Graditi, Giorgio Piazza, Stefano Bracco, Federico Delfino
Summary: Sector coupling enhances energy system flexibility by integrating different energy sectors, increasing renewables' penetration, and reducing carbon emissions. This paper discusses the stochastic operation optimization of the smart Savona Campus of the University of Genoa using a mixed-integer linear programming model and a multi-objective approach to optimize the operation strategies of various energy technologies.
Article
Energy & Fuels
Alberto Benato, Francesco De Vanna, Anna Stoppato
Summary: In the process of energy transition and tackling climate targets, large-scale variable renewable energy sources need to be combined with energy storage technology to balance supply and demand. The proposed Virtual Power Plant system in this study effectively smoothes the peak power output of solar photovoltaic generation and manages power supply, showing high stability and promising potential.
Article
Engineering, Chemical
Giovanna Cavazzini, Alberto Benato
Summary: Nineteen percent of global final energy consumption is used in buildings for electricity and heat generation, indicating the need for reduced consumption in the building sector. This work demonstrates the benefits of installing a monitoring system in a real operating environment, specifically focusing on a residential building's central heating and cooling system. The data collected and analyzed from installed sensors help detect anomalies, malfunctions, and failures, as well as evaluate the efficiency of the management strategy. The results emphasize the crucial role of data analysis in identifying failures, optimizing management strategies, and predicting machine performance deviations.
Article
Energy & Fuels
Giorgio Piazza, Stefano Bracco, Federico Delfino, Marialaura Di Somma, Giorgio Graditi
Summary: European countries are aiming to achieve important energy targets by increasing energy efficiency, utilizing renewable energy sources, and implementing energy communities. This paper proposes an optimization-based methodology to assess the impact of electric mobility on the optimal design of renewable energy collective self-consumers. The integration of renewable sources, storage systems, and charging infrastructures for electric vehicles is analyzed using a stochastic optimization model, revealing the significant increase in optimal installed size of renewable energy power plants with the presence of electric vehicles.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Physics, Fluids & Plasmas
Alberto Benato, Francesco De Vanna, Ennio Gallo, Anna Stoppato, Giovanna Cavazzini
Summary: The study focuses on the mathematical modeling of thermal energy storage systems. A new and detailed model named TES-PD is proposed, which considers temperature-dependent fluid and storage material properties, improving the prediction of system performance. This is essential for the preliminary design of innovative large-scale storage units operating with thermal storage.
Article
Thermodynamics
Pengcheng Zhao, Jingang Wang, Liming Sun, Yun Li, Haiting Xia, Wei He
Summary: The production of green hydrogen through water electrolysis is crucial for renewable energy utilization and decarbonization. This research explores the optimal electrode configuration and system design of compactly-assembled industrial electrolyzer. The findings provide valuable insights for industrial application of water electrolysis equipment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
V. Baiju, P. Abhishek, S. Harikrishnan
Summary: Thermally driven adsorption desalination systems (ADS) have gained attention as an eco-friendly solution for water scarcity. However, they face challenges related to low water productivity and scalability. To overcome these challenges, integrating ADS with other desalination technologies can create a small-scale hybrid system. This study proposes integrating ADS with a Thermo Electric Dehumidification (TED) unit to enhance its performance.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
C. X. He, Y. H. Liu, X. Y. Huang, S. B. Wan, Q. Chen, J. Sun, T. S. Zhao
Summary: A decentralized centroid multi-path RC network model is constructed to improve the temperature prediction accuracy compared to traditional RC models. By incorporating multiple heat flow paths and decentralizing thermal capacity, a more accurate prediction is achieved.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chaoying Li, Meng Wang, Nana Li, Di Gu, Chao Yan, Dandan Yuan, Hong Jiang, Baohui Wang, Xirui Wang
Summary: There is an urgent need to shift away from heavy dependence on fossil fuels and embrace renewable energy sources, particularly in the energy-intensive oil refining process. This study presents an innovative concept called the Solar Oil Refinery, which applies solar energy in oil refining. A solar multi-energies-driven hybrid chemical oil refining system that utilizes solar pyrolysis and electrolysis has been developed, significantly improving solar utilization efficiency, cracking rate, and hydrogen yield.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chao Ma, Guanghui Wang, Dingbiao Wang, Xu Peng, Yushen Yang, Xinxin Liu, Chongrui Yang, Jiaheng Chen
Summary: This study proposes a bio-inspired fish-tail wind rotor to improve the wind power efficiency of the traditional Savonius rotor. Through transient simulations and orthogonal experiments, the key factors affecting the performance are identified. A response surface model is constructed to optimize the power coefficient, resulting in an improvement of 9.4% and 6.6% compared to the Savonius rotor.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sina Bahmanziari, Abbas-Ali Zamani
Summary: This paper proposes a new framework for improving electrical energy harvesting from piezoelectric smart tiles through a combination of magnetic plucking, mechanical impact, and mechanical vibration force mechanisms. Experimental results demonstrate a significant increase in energy yield and average energy harvesting time compared to other mechanisms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Nanjiang Dong, Tao Zhang, Rui Wang
Summary: This study establishes a multiobjective mixed-variable configuration optimization model for a comprehensive combined cooling, heating, and power energy system, and proposes an efficient generating operator to optimize this model. The experimental results show that the proposed algorithm performs better than other state-of-the-art algorithms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Ahmed E. Mansy, Eman A. El Desouky, Tarek H. Taha, M. A. Abu-Saied, Hamada El-Gendi, Ranya A. Amer, Zhen-Yu Tian
Summary: This study aims to convert office paper waste into bioethanol through a sustainable pathway. The results show that physiochemical and enzymatic hydrolysis of the waste can yield a high glucose concentration. The optimal conditions were determined using the Box-Behnken design, and a blended membrane was used for ethanol purification.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sven Klute, Marcus Budt, Mathias van Beek, Christian Doetsch
Summary: Heat pumps are crucial for decarbonizing heat supply, and steam generating heat pumps have the potential to decarbonize the industrial sector. This paper presents the current state, technical and economic data, and modeling principles of steam generating heat pumps.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Le Zhang, To-Hung Tsui, Yen Wah Tong, Pruk Aggarangsi, Ronghou Liu
Summary: This study investigates the effectiveness of a current-carrying-coil-based magnetic field in promoting anaerobic digestion of chicken manure. The results show that the applied magnetic field increases methane yield, decreases carbon dioxide production, and reduces the concentration of ammonia nitrogen. Microbial community analysis reveals the enrichment of certain methanogenic genera and enhanced metabolic pathways. Pilot-scale experiments confirm the technical effectiveness of the magnetic field assistance in enhancing anaerobic digestion of chicken manure.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Bo Chen, Ruiqing Ma, Yang Zhou, Rui Ma, Wentao Jiang, Fan Yang
Summary: This paper presents an advanced energy management strategy for fuel cell hybrid electric heavy-duty vehicles, focusing on speed planning and energy allocation. By utilizing predictive co-optimization control, this strategy ensures safe inter-vehicle distance and minimizes energy demand. Simulation results demonstrate the effectiveness of the proposed method in reducing fuel cell degradation cost and overall operation cost.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Fabio Fatigati, Roberto Cipollone
Summary: Organic Rankine Cycle-based microcogeneration systems that use solar sources to generate electricity and hot water can help reduce CO2 emissions in residential energy-intensive sectors. The adoption of a recuperative heat exchanger in these systems improves efficiency, reduces thermal power requirements, and saves on electricity costs.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Lipeng He, Renwen Liu, Xuejin Liu, Xiaotian Zheng, Limin Zhang, Jieqiong Lin
Summary: This research proposes a piezoelectric-electromagnetic hybrid energy harvester (PEHEH) for low-frequency wave motion and self-sensing wave environment monitoring. The PEHEH shows promising power output and the ability to self-power and self-sense the wave environment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Shangling Chu, Yang Liu, Zipeng Xu, Heng Zhang, Haiping Chen, Dan Gao
Summary: This paper studies a distributed energy system integrated with solar and natural gas, analyzes the impact of different parameters on its energy utilization and emissions reduction, and obtains the optimal solution through an optimization algorithm. The results show that compared to traditional separation production systems, this integrated system achieves higher energy utilization and greater reduction in carbon emissions.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Qingpu Li, Yaqi Ding, Guangming Chen, Yongmei Xuan, Neng Gao, Nian Li, Xinyue Hao
Summary: This paper proposes and studies a piston-type thermally-driven pump with a structure similar to a linear compressor, aiming to eliminate the high-quality energy consumption of existing pumps and replace mechanical pumps. The coupling mechanism of working fluid flow and element dimension is analyzed based on force analysis, and experimental data analysis is used to determine the pump operation stroke. Theoretical simulation is conducted to analyze the correlation mechanism of the piston assembly. The research shows that the thermally-driven pump can greatly reduce power consumption and has potential for industrial applications.
ENERGY CONVERSION AND MANAGEMENT
(2024)