Composites play a pivotal role in a myriad of industries, including aerospace, automotive, household, marine, and medical sectors. The continual refinement of composite synthesis is paramount for optimizing their mech...
详细信息
Battery management systems(BMSs) play a vital role in ensuring efficient and reliable operations of lithium-ion *** main function of the BMSs is to estimate battery states and diagnose battery health using battery ope...
详细信息
Battery management systems(BMSs) play a vital role in ensuring efficient and reliable operations of lithium-ion *** main function of the BMSs is to estimate battery states and diagnose battery health using battery open-circuit voltage(OCV).However,acquiring the complete OCV data online can be a challenging endeavor due to the time-consuming measurement process or the need for specific operating conditions required by OCV estimation *** addressing these concerns,this study introduces a deep neural network-combined framework for accurate and robust OCV estimation,utilizing partial daily charging *** incorporate a generative deep learning model to extract aging-related features from data and generate high-fidelity OCV *** analysis is employed to identify the optimal partial charging data,optimizing the OCV estimation precision while preserving exceptional *** validation results,using data from nickel-cobalt-magnesium(NCM) batteries,illustrate the accurate estimation of the complete OCV-capacity curve,with an average root mean square errors(RMSE) of less than 3 *** this level of precision for OCV estimation requires only around 50 s collection of partial charging *** validations on diverse battery types operating under various conditions confirm the effectiveness of our proposed *** cases of precise health diagnosis based on OCV highlight the significance of conducting online OCV *** method provides a flexible approach to achieve complete OCV estimation and holds promise for generalization to other tasks in BMSs.
A novel variant of composite phase-change material (PCM) was developed by incorporating 0.5 wt% aluminum oxide (Al2O3), silicon dioxide (SiO2), copper (II) oxide (CuO) and silver (Ag) nanomaterials into myristic acid....
详细信息
Natural fibre-reinforced composites are now becoming incredibly common in various products because of their comparable qualities to conventional *** to its availability,superior mechanical qualities,and low cost,banan...
详细信息
Natural fibre-reinforced composites are now becoming incredibly common in various products because of their comparable qualities to conventional *** to its availability,superior mechanical qualities,and low cost,banana pseudostem is extensively used in various applications requiring natural *** study investigates the physical and mechanical properties of epoxy composites reinforced with banana pseudostem fibres that contain Al_(2)O_(3) *** order to produce composites with fibre and filler loadings,manual hand layup was *** and filler loading effects on composite properties were studied in *** results of the investigations demonstrate that proportion of Al_(2)O_(3) in composites significantly influences their mechanical and physical ***,the composite with a fibre content of 30%shows improved mechanical proportions and *** analysis was used to study the composite's thermal *** are more thermally stable than raw *** Transform Infrared Spectroscopy and Scanning electron microscopy analyses were used to characterize the composites.
This work aims at determining the heat transfer enhancement as well as friction losses of CeO2 nanofluids (NFs) in a double pipe heat exchanger. Cerium Oxide nanopowder was characterised by Energy-Dispersive X-ray Spe...
详细信息
Botswana as a developing country, is currently investing in biodiesel production, however, no data on biodiesel value chain characterisation is available to establish viability and sustainability of biodiesel producti...
详细信息
Introduction: The optimal performance of a prosthetic limb depends on its biomechanical characteristics along with its mechanical aspects. Biomechanical analysis of an economical, customized and reliable prosthetic li...
详细信息
Visual odometry is critical in visual simultaneous localization and mapping for robot ***,the pose estimation performance of most current visual odometry algorithms degrades in scenes with unevenly distributed feature...
详细信息
Visual odometry is critical in visual simultaneous localization and mapping for robot ***,the pose estimation performance of most current visual odometry algorithms degrades in scenes with unevenly distributed features because dense features occupy excessive ***,a new human visual attention mechanism for point-and-line stereo visual odometry,which is called point-line-weight-mechanism visual odometry(PLWM-VO),is proposed to describe scene features in a global and balanced manner.A weight-adaptive model based on region partition and region growth is generated for the human visual attention mechanism,where sufficient attention is assigned to position-distinctive objects(sparse features in the environment).Furthermore,the sum of absolute differences algorithm is used to improve the accuracy of initialization for line *** with the state-of-the-art method(ORB-VO),PLWM-VO show a 36.79%reduction in the absolute trajectory error on the Kitti and Euroc *** the time consumption of PLWM-VO is higher than that of ORB-VO,online test results indicate that PLWM-VO satisfies the real-time *** proposed algorithm not only significantly promotes the environmental adaptability of visual odometry,but also quantitatively demonstrates the superiority of the human visual attention mechanism.
Recently,the topic of bioresorbable metals,with much focus on magnesium for bone implant applications,has been an area of considerable ***,it could be argued that magnesium is the most promising biodegradable material...
详细信息
Recently,the topic of bioresorbable metals,with much focus on magnesium for bone implant applications,has been an area of considerable ***,it could be argued that magnesium is the most promising biodegradable material currently being studied for use as an orthopedic skeletal fixation and joint replacement ***,the fast degradation rate of magnesium-based materials in the physiological environment negatively affects their mechanical integrity and hence limits their biomedical *** most critical conditions may occur when the implant is subjected to a corrosive physiological environment and a fluctuating load during daily ***,numerous studies have been published on the synthesis,alloying,and coating of magnesium to control degradation rate and increase strength and *** the materials and strategies employed to achieve these goals,magnesium-based biocomposites have exhibited superior mechanical properties and acceptable ***,there is a lack of understanding of their corrosion and corrosion-fatigue *** understanding is necessary to qualify these new materials for various bio-implant *** this end,this paper reviews the recent advances in the corrosion and corrosion-fatigue behavior of magnesium-based *** also provides a comprehensive discussion of different factors that influence the biocompatibility,corrosion,fatigue,and corrosion-fatigue of magnesium-based biocomposites as potential implant *** study emphasizes that despite the abundance of various studies on the corrosion behavior of magnesium-based biocomposites,there is an imperative need for more fatigue and corrosion-fatigue studies.
This paper investigates an integrated production scheduling and vehicle routing problem with soft time windows and fuzzy travel times, where orders are grouped into batches for production and delivered by a limited nu...
详细信息
This paper investigates an integrated production scheduling and vehicle routing problem with soft time windows and fuzzy travel times, where orders are grouped into batches for production and delivered by a limited number of multi-trip heterogeneous vehicles. A bi-objective mixed integer nonlinear programming (MINLP) model is established, which takes total cost and total early and tardy weighted penalty time as optimization objectives. First, a fuzzy superposition operation is proposed to obtain the fuzzy weighted penalty time, and it is extended to a generalized fuzzy operation law in fuzzy sets and systems. Then, we propose a knowledge-driven co-evolutionary algorithm (KDCEA) to solve this problem. The algorithm fuses a dual-subpopulation co-evolution based on different update strategies and a knowledge-driven strategy based on dynamic knowledge sets and problem-specific knowledge. Finally, the correctness of the MINLP model is verified by the CPLEX solver using the ϵ-constraint method. A computational experiment is conducted based on different scale instances and a real-world case, and the results show the superiority of KDCEA in solving this problem. IEEE
暂无评论