This paper explores the impact of additive manufacturing processes on the properties of stainless steel SS404L, with a focus on the influence of printing parameters such as power, scanning speed, and deposition height...
详细信息
The evolution of the microstructure and morphology of Cu55Ni45 and Cu60Ni40 alloys under varying degrees of undercooling was investigated through molten glass purification and cyclic superheating *** increasing the Cu...
详细信息
The evolution of the microstructure and morphology of Cu55Ni45 and Cu60Ni40 alloys under varying degrees of undercooling was investigated through molten glass purification and cyclic superheating *** increasing the Cu content,the effect of Cu on the evolution of the microstructure and morphology of the Cu-Ni alloy during undercooling was *** mechanism of grain refinement at different degrees of undercooling and the effect of Cu content on its solidification behaviour were *** solidification behaviour of Cu55Ni45 and Cu60Ni40 alloys was investigated using infrared thermometry and high-speed *** results indicate that both Cu55Ni45 and Cu60Ni40 alloy melts undergo only one recalescence during rapid *** degree of recalescence increases approximately linearly with increasing *** solidification front of the alloy melts undergoes a transition process from a small-angle plane to a sharp front and then to a smooth ***,the growth of the subcooled melt is constrained to a narrow range,facilitating the formation of a coarse dendritic crystal morphology in the Cu-Ni *** large undercooling,the stress breakdown of the directionally growing dendrites is primarily caused by thermal *** strain remaining in the dendritic fragments provides the driving force for recrystallisation of the tissue to occur,which in turn refines the tissue.
Computational inverse technology is a prevailing approach to solve engineering problems of complex structural systems, for which key parameters cannot be directly derived through conventional experimental or theoretic...
详细信息
We conducted visualization experiments to investigate the macroscopic mixing of upper and lower stratified suspensions. We used spectroscopy to distinguish the upper and lower suspensions in the images recorded by a c...
详细信息
Accurate capacity estimation is of great importance for the reliable state monitoring,timely maintenance,and second-life utilization of lithium-ion *** numerous works on battery capacity estimation using laboratory da...
详细信息
Accurate capacity estimation is of great importance for the reliable state monitoring,timely maintenance,and second-life utilization of lithium-ion *** numerous works on battery capacity estimation using laboratory datasets,most of them are applied to battery cells and lack satisfactory fidelity when extended to real-world electric vehicle(EV)battery *** challenges intensify for large-sized EV battery packs,where unpredictable operating profiles and low-quality data acquisition hinder precise capacity *** fill the gap,this study introduces a novel data-driven battery pack capacity estimation method grounded in field *** proposed approach begins by determining labeled capacity through an innovative combination of the inverse ampere-hour integral,open circuit voltage-based,and resistance-based correction ***,multiple health features are extracted from incremental capacity curves,voltage curves,equivalent circuit model parameters,and operating temperature to thoroughly characterize battery aging behavior.A feature selection procedure is performed to determine the optimal feature set based on the Pearson correlation ***,a convolutional neural network and bidirectional gated recurrent unit,enhanced by an attention mechanism,are employed to estimate the battery pack capacity in real-world EV ***,the proposed method is validated with a field dataset from two EVs,covering approximately 35,000 *** results demonstrate that the proposed method exhibits better estimation performance with an error of less than 1.1%compared to existing *** work shows great potential for accurate large-sized EV battery pack capacity estimation based on field data,which provides significant insights into reliable labeled capacity calculation,effective features extraction,and machine learning-enabled health diagnosis.
This study aims to investigate the impact of post-processing techniques on the wear resistance of SS316L components after undergoing plasma beam treatment. The mechanical and microstructure properties were altered by ...
详细信息
Jack fruit peel oil (JFPO) exhibits passive chemical characteristics;thereby, dual-fuel mode frequently involves hydrogen to address its combustion difficulties. This strategy has been gaining prominence nowadays. The...
详细信息
Hybrid Aluminium 7075 reinforced with Silicon carbide (SiC) and Aluminium oxide (Al2O3) has achieved greater potential in relation to usage in various sectors. Many simulations published results demonstrates use of Al...
详细信息
Fe-based alloys have recently become well-known for their ability to resist wear and corrosion. Iron, the primary component of alloys, is a cheaper option than alloys made from Co and Ni. There is a need for affordabl...
详细信息
mechanical evaluation revealed significant variations between polymer composite specimens made by hand lay-up and resin transfer molding (RTM). This study aimed to evaluate the impact of manufacturing processes on imp...
详细信息
暂无评论