The paper presents results of a steam boiler operation modeling fired with hard coal. The thermodynamic model developed is consisted of basic components of the steam boiler for both the flue gases-air and water-steam ...
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Autonomous navigation technology for Unmanned Surface Vehicles (USVs) has seen many recent advancements. In order for a USV to operate autonomously, the path to move from its current location to its destination must b...
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We report measurements of the Seebeck effect in both the ab plane (Sa) and along the c axis (Sc) of the cuprate superconductor La1.6−xNd0.4SrxCuO4 (Nd-LSCO), performed in magnetic fields large enough to suppress super...
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We report measurements of the Seebeck effect in both the ab plane (Sa) and along the c axis (Sc) of the cuprate superconductor La1.6−xNd0.4SrxCuO4 (Nd-LSCO), performed in magnetic fields large enough to suppress superconductivity down to low temperature. We use the Seebeck coefficient as a probe of the particle-hole asymmetry of the electronic structure across the pseudogap critical doping p⋆=0.23. Outside the pseudogap phase, at p=0.24>p⋆, we observe a positive and essentially isotropic Seebeck coefficient as T→0. That S>0 at p=0.24 is at odds with expectations given the electronic band structure of Nd-LSCO above p⋆ and its known electronlike Fermi surface. We can reconcile this observation by invoking an energy-dependent scattering rate with a particle-hole asymmetry, possibly rooted in the non-Fermi-liquid nature of cuprates just above p⋆. Inside the pseudogap phase, for p
Polyimide (PI) is one of the most pragmatic polymers for highly durable flexible devices based on its micro- and nanopatterned structures, because of its excellent thermal and chemical stability. The conventional top-...
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The bottleneck of urban forest waste (UFW) as biofuel relies on surpassing its logistical management, feedstock supply, heterogeneity, and property drawbacks. This article proposes a hybrid approach based on multicrit...
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Nickel–vanadium (Ni V) composites are considered as promising active materials for battery supercapacitor hybrids (BSHs), owing to multiple oxidation states, high theoretical capacitance, and tunable redox activity. ...
Nickel–vanadium (Ni V) composites are considered as promising active materials for battery supercapacitor hybrids (BSHs), owing to multiple oxidation states, high theoretical capacitance, and tunable redox activity. Structural optimization and sulfur incorporation are effective strategies to improve conductivity and structural stability. Hydrothermal parameters such as temperature and duration significantly influence the material and electrochemical properties. In this study, novel Ni V composites are synthesized via a hydrothermal process at different temperatures and durations as the active material of BSHs. The Ni V composites primarily consist of NiS 2 and V 3 Ni(SO 4 ) 4 · 24H 2 O. The Ni V composites synthesized using 150 °C and 10 h (Ni-V150@10) shows the largest specific capacitance (C F ) of 1381.3 F/g (621.6 C/g) at 20 mV/s, owing to its favorable twisted layered structure and abundant electroactive NiS 2 . A BSH constructed with Ni-V150@10 and reduced graphene oxide electrodes shows a maximum energy density of 9.6 Wh/kg at the power density of 857 W/kg. The capacitance retention of 96.6% and a Coulombic efficiency of 96.9% are also attained after 10,000 charge/discharge cycles. This study provides a clear approach for designing high-performance active materials with controllable hydrothermal temperature and duration, which can be extended to improve the electrochemical performance of other bimetallic composites in the future.
Remotely operated vehicles (ROV) conduct tasks that are generally dangerous or ineffective for humans, such as exploring and surveying the ocean for extended periods of time. Current underwater ROVs are complex assemb...
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In this paper we address the problem of adaptive state observation of affine-in-the-states time-varying systems with delayed measurements and unknown parameters. The case with known parameters has been studied by many...
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In this paper we address the problem of adaptive state observation of affine-in-the-states time-varying systems with delayed measurements and unknown parameters. The case with known parameters has been studied by many researchers—see [Sanz et al. 2019, Bobtsov et al. 2021] and references therein—where, similarly to the approach adopted here, the system is treated as a linear time-varying system. We show that the parameter estimation-based observer (PEBO) design proposed in [Ortega et al. 2015, 2020] provides a very simple solution for the unknown parameter case. Moreover, when PEBO is combined with the dynamic regressor extension and mixing (DREM) estimation technique [Aranovskiy et al. 2016, Ortega et al. 2019], the estimated state converges in fixed-time with extremely weak excitation assumptions.
Obtaining broadband dynamic mechanical properties of viscoelastic materials is challenging. Commercially available characterization equipment is typically limited to about 500 Hz. Ultrasonic testing is a common strate...
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Socially-acceptable navigation patterns are key to smoothly integrating robots into human daily life. This paper addresses such issues without attempting to use complex algorithms that are difficult to support with lo...
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ISBN:
(数字)9781728134581
ISBN:
(纸本)9781728134598
Socially-acceptable navigation patterns are key to smoothly integrating robots into human daily life. This paper addresses such issues without attempting to use complex algorithms that are difficult to support with low-level controllers. Through observational data collection, this paper finds average walking patterns that can be adhered to by rough guidelines that provide significant tolerances for low-level robots in varying situations. These guidelines can be applied to many different robotic systems but are intended for use with the WHILL Model C wheelchair, where parameter data has been collected to ensure compatibility. Finally, the concept of rider comfort has been briefly accounted briefly accounted for when adjusting the robot's parameters.
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