Roller Compacted Concrete (RCC) has garnered substantial attention in the field of pavement engineering as a result of its affordability and expeditious construction process in comparison to conventional concrete. Alt...
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The magnetic properties,magnetic phase transition and magnetocaloric effects(MCE) of Er_(3)Si_(2)C_(2) compound were investigated based on theoretical calculations and experimental *** on the first principles calculat...
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The magnetic properties,magnetic phase transition and magnetocaloric effects(MCE) of Er_(3)Si_(2)C_(2) compound were investigated based on theoretical calculations and experimental *** on the first principles calculations,the antiferromagnetic(AFM) ground state type in Er_(3)Si_(2)C_(2) compound was predicted and its electronic structure was *** experimental results show that Ei_(3)Si_(2)C_(2) compound is an AFM compound with the Neel temperature(T_(N) of 7 K and undergoes a field-induced firstorder magnetic phase transition from AFM to ferromagnetic(FM) under magnetic fields exceeding 0.6 T at 2 *** magnetic transition process of Er_(3)Si_(2)C_(2) compound was investigated and *** values of the maximum magnetic entropy change(-ΔS_(M)^(max)) and the refrigeration capacity(RC) are 17 J/(kg·K)and 193 J/kg under changing magnetic fields of 0-5 T,*** a potential cryogenic magnetic refrigerant,the Er_(3)Si_(2)C_(2) compound also provides an interesting research medium to study the magnetic phase transition process.
This paper considers a full-vehicle model with preview control travelling on a random road. The road roughness is modelled as the PSD of the random road irregularity provided by integrated white noise which is estimat...
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This research aims to investigate the influence of the sun and mix-mode solar drying of blanched potato slices on drying kinetics and moisture loss rate and to conduct environmental and economic analysis of the solar ...
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Solid oxide fuel cells(SOFCs) that operate at intermediate temperatures of 600 to 800℃ have recently received increased attention due to their improved durability, more rapid startup and shutdown, better sealing and ...
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Solid oxide fuel cells(SOFCs) that operate at intermediate temperatures of 600 to 800℃ have recently received increased attention due to their improved durability, more rapid startup and shutdown, better sealing and lower cost than their counterparts operate at high temperatures. Nevertheless, intermediatetemperature SOFCs(IT-SOFCs) with popular perovskite cathodes contain alkaline-earth elements, which are prone to reaction with carbon dioxide(CO_(2)), even when the CO_(2) content is comparatively low. In this work, an alkaline-earth metal-free Ruddlesden-Popper oxide, Nd_(1.8)La_(0.2)Ni_(0.74)Cu_(0.21)Ga_(0.05)O_(4+δ)(NLNCG), is developed for IT-SOFC cathodes. The cell is based on an electrolyte with 8%(mol) Y_(2)O_(3)-stabilized Zr O_(2)(8YSZ). The NLNCG cathode exhibits an excellent CO_(2) tolerance, as proven by thermogravimetry analysis,in situ X-ray diffraction, I-V-P test, and electrochemical impedance spectroscopy(EIS), and stability measurements. The anode-supported single-cell Ni O-YSZ|YSZ|NLNCG outputs a peak power density of 0.522 W·cm^(-2) at 800℃. These findings suggest that NLNCG could be a highly suitable cathode material with CO_(2) tolerance for IT-SOFCs.
Although the available traffic data from navigation systems have increased steadily in recent years,it only reflects average travel time and possibly Origin-Destination information as samples,***,the number of vehicle...
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Although the available traffic data from navigation systems have increased steadily in recent years,it only reflects average travel time and possibly Origin-Destination information as samples,***,the number of vehicles participating in the traffic-in other words,the traffic flows being the basic traffic engineering information for strategic planning or even for real-time management-is still missing or only available sporadically due to the limited number of traditional traffic sensors on the network *** tackle this gap,an efficient calibration process is introduced to exploit the Floating Car Data combined with the classical macroscopic traffic assignment *** optimally scaling the Origin-Destination matrices of the sample fleet,an appropriate model can be approximated to provide traffic flow data beside average *** iterative tuning method is developed using a genetic algorithm to realize a complete macroscopic traffic *** method has been tested through two different real-world traffic networks,justifying the viability of the proposed ***,the contribution of the study is a practical solution based on commonly available fleet traffic data,suggested for practitioners in traffic planning and management.
In this study,we introduce a novel multi-objective optimization model tailored for modern manufacturing,aiming to mitigate the cost impacts of operational disruptions through optimized corrective *** to our approach i...
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In this study,we introduce a novel multi-objective optimization model tailored for modern manufacturing,aiming to mitigate the cost impacts of operational disruptions through optimized corrective *** to our approach is the strategic placement of maintenance stations and the efficient allocation of personnel,addressing a crucial gap in the integration of maintenance personnel dispatching and station *** model uniquely combines the spatial distribution of machinery with the expertise of operators to achieve a harmonious balance between maintenance efficiency and *** core of our methodology is the NSGA Ⅲ+Dispatch,an advanced adaptation of the Non-Dominated Sorting Genetic Algorithm Ⅲ(NSGA-Ⅲ),meticulously designed for the selection of maintenance stations and effective operator *** method integrates a comprehensive coding process,crossover operator,and mutation operator to efficiently manage multiple *** empirical testing,including a detailed analysis from a taiwan region electronic equipment manufacturer,validated the effectiveness of our approach across various scenarios of machine failure frequencies and operator *** findings reveal that the proposed model significantly outperforms current practices by reducing response times by up to 23%in low-frequency and 28.23%in high-frequency machine failure scenarios,leading to notable improvements in efficiency and cost ***,it demonstrates significant improvements in oper-ational efficiency,particularly in selective high-frequency failure contexts,while ensuring substantial manpower cost savings without compromising on operational *** research significantly advances maintenance strategies in production environments,providing the manufacturing industry with practical,optimized solutions for diverse machine malfunction ***,the methodologies and principles developed in this study have pote
Surface modifications can introduce natural gradients or structural hierarchy into human-made microlattices,making them simultaneously strong and ***,we describe our investigations of the mechanical properties and the...
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Surface modifications can introduce natural gradients or structural hierarchy into human-made microlattices,making them simultaneously strong and ***,we describe our investigations of the mechanical properties and the underlying mechanisms of additively manufactured nickel–chromium superalloy(IN625)microlattices after surface mechanical attrition treatment(SMAT).Our results demonstrated that SMAT increased the yielding strength of these microlattices by more than 64.71%and also triggered a transition in their mechanical *** primary failure modes were distinguished:weak global deformation,and layer-by-layer collapse,with the latter enhanced by *** significantly improved mechanical performance was attributable to the ultrafine and hard graded-nanograin layer induced by SMAT,which effectively leveraged the material and structural *** results were further validated by finite element *** work provides insight into collapse behaviour and should facilitate the design of ultralight yet buckling-resistant cellular materials.
Electricity demand forecasting has emerged as a critical area of research in recent times, driven by the necessity for accurate predictions of future load requirements. Such predictions are essential for effectively o...
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Models trained with adversarial attack can be significantly improved stability and performance when faced with new uncertain environment. In this paper, we propose the robust training framework based on Wasserstein SA...
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