Background: Lubrication failure has always been a concern in the research of heavy hydrostatic bearings. A preliminary study found that under a certain working condition, the heavy hydrostatic bearing will appear in t...
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Online driving style recognition can enhance the customization of human-centric driving systems, thereby improving comfort, safety, and fuel economy. However, the limited performance of automotive-grade chips makes it...
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Online driving style recognition can enhance the customization of human-centric driving systems, thereby improving comfort, safety, and fuel economy. However, the limited performance of automotive-grade chips makes it highly challenging to compile and run complicated algorithms in real time. To overcome this bottleneck, this paper proposes an embedded method for recognizing driving styles, which is computationally efficient. This approach leverages experts' prior knowledge in learning algorithms and applies it to the electronic control unit (ECU) characterized by a limited RAM. More specifically, the approach integrates knowledge-based rules and learning-based rules. The design of knowledge-based rules relies on the correlation between driving styles and vehicle dynamics (i.e., friction circle). Learning-based rules are established as explicit hyperplanes extracted through hierarchical clustering and support vector machine analysis of the naturalistic driving behaviors exhibited by 100 drivers. These knowledge- and learning-based rules are then integrated into an embedded driving style recognition model. The resulting model is compiled into an executable file that operates within the vehicle's onboard ECU. The proposed method is validated through real vehicle testing in naturalistic driving settings, demonstrating a remarkable 94.4% level of subjective-objective consistency. IEEE
There are various potential applications of biomimetic adhesive solutions including climbing robotic systems,mobile sensor platforms,and biomedical applications such as patches for external *** resistance to both norm...
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There are various potential applications of biomimetic adhesive solutions including climbing robotic systems,mobile sensor platforms,and biomedical applications such as patches for external *** resistance to both normal and tangential loads,however,is a critical issue that still needs to be *** animals have developed exceptional attachment mechanisms based on combined fibrillar elements of different shapes and *** investigation of combined biomimetic adhesive micro-textures on tribological performances such as adhesion,friction,and peeling resistance is needed to apply this idea to the design of an artificial texture having similar“biomimetic”*** the present study,we demonstrate that combinations of different shapes of biomimetic adhesive micro-textures show increased efficiency under different contact environments and enable long-term adhesive *** work sheds light on combinations of different element shapes inspired by nature and their adhesive efficiency as a function of the ratio of each biomimetic element,as well as their spatial repartition.
This research work thoroughly describes the process of obtaining and characterizing iron oxide (Fe3O4) nanoparticles as well as emphasizes how different pH levels, reaction environments and synthesis methods can respe...
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With growing concerns for global warming and environmental issues,the research community has contributed significantly to green technology in the area of material science through the development of natural fiber-reinf...
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With growing concerns for global warming and environmental issues,the research community has contributed significantly to green technology in the area of material science through the development of natural fiber-reinforced polymer composites(NFRPC).Polymers serve as the matrix in NFRPC,while natural fibers serve as the reinforcing *** for high-performing materials made with natural resources is growing *** fiber-reinforced polymer composites are sustainable biocomposites fabricated with natural fibers embedded with a polymer *** offer a wide range of advantages,including a low weight-to-strength ratio,high flexural strength,damping properties,and resistance to corrosion,wear,and *** the basic properties,characteristics,and processing techniques for natural fibers is important to consider their use as raw materials for high-quality *** fibers come with low density and a high strengthto-weight ratio,allowing them to be a potential reinforcement for low-weight *** article attempts to present a comprehensive review of the available natural fibers,their classification,types,structures,physical properties,characteristics,and mechanical *** fibers are hydrophilic in nature and require physical and chemical treatment prior to their application as reinforcing *** review will also cover the required physical and chemical treatments of natural fibers for fabricating biocomposites.
The swinging-loading process is essential for automatic artillery loading systems. This study focuses on the problems of reliability analysis that affect swinging-loading positioning accuracy. A dynamic model for a mu...
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The possibility of freely manipulating flow in accordance with humans will remain indispensable for breakthroughs in fields such as microfluidics,nanoengineering,and biomedicines,as well as for realizing zero-drag hyd...
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The possibility of freely manipulating flow in accordance with humans will remain indispensable for breakthroughs in fields such as microfluidics,nanoengineering,and biomedicines,as well as for realizing zero-drag hydrodynamics,which is essential for alleviating the global energy ***,persistent challenges arise from the D’Alembert paradox and the unresolved Navier-Stokes solutions,known as the Millennium *** obstacles also complicate the development of hydrodynamic zero-drag cloaks across diverse Reynolds *** research introduces a paradigm for such cloaks,relying exclusively on isotropic and homogeneous *** experimental and numerical validations,our cloaks exhibit zero-drag properties,effectively resolving the D’Alembert paradox in viscous potential ***,they possess the capability to activate or deactivate hydrodynamic concealment at *** analysis emphasizes the critical role of vorticity manipulation in realizing cloaking effects and drag-reduction ***,controlling vorticity emerges as a pivotal aspect for future active hydrodynamic zero-drag cloak *** conclusion,our study challenges the prevailing belief in the impossibility of zero drag,offering valuable insights into invisibility characteristics in fluid mechanics with implications for microfluidics,biofluidics demanding the drug release or biomolecules transportation accurately and timely,and hypervelocity technologies.
The distribution of inclusions at the bottom of a Ce-treated heavy steel ingot was detected and *** three-dimensional morphology and spatial distribution of CeAlOs clusters were characterized using the electrolytic ex...
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The distribution of inclusions at the bottom of a Ce-treated heavy steel ingot was detected and *** three-dimensional morphology and spatial distribution of CeAlOs clusters were characterized using the electrolytic extraction and Micro-CT detection.A model of inclusion collision to predict the aggregation of CeAlO_(3) inclusions in the ingot was established and validated by measured *** were mainly CeAlO_(3) and a small amount of Ce_(2)O_(2)S in the tundish after cerium *** collision and aggregation of inclusions led to the formation of large clusters in the ingot during the solidification *** slag entrainment inclusions,large CeAO_(3) clusters and small CeAlO_(3) particles were observed from the center to the edge of the ingot *** inclusions were mainly concentrated at the *** number density of inclusions larger than 200μm was 0.21 mm^(-3).The maximum diameter of CeA1O_(3) clusters was 1340μ*** the edge to the radial center and from the bottom to the top,the average diameter of inclusions gradually increased due to the longer solidification time of the ingot.
Machine tools,often referred to as the“mother machines”of the manufacturing industry,are crucial in developing smart manufacturing and are increasingly becoming more *** twin technology can promote machine tool inte...
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Machine tools,often referred to as the“mother machines”of the manufacturing industry,are crucial in developing smart manufacturing and are increasingly becoming more *** twin technology can promote machine tool intelligence and has attracted considerable research ***,there is a lack of clear and systematic analyses on how the digital twin technology enables machine tool ***,digital twin modeling was identified as an enabling technology for machine tool intelligence based on a comparative study of the characteristics of machine tool intelligence and digital *** review then delves into state-of-the-art digital twin modelingenabled machine tool intelligence,examining it from the aspects of data-based modeling and mechanism-data dual-driven ***,it highlights three bottleneck issues facing the *** these problems,the architecture of a digital twin machine tool(DTMT)is proposed,and three key technologies are expounded in detail:Data perception and fusion technology,mechanism-data-knowledge hybrid-driven digital twin modeling and virtual-real synchronization technology,and dynamic optimization and collaborative control technology for multilevel ***,future research directions for the DTMT are *** work can provide a foundation basis for the research and implementation of digital-twin modeling-enabled machine tool intelligence,making it significant for developing intelligent machine tools.
The simultaneous investigation on the parameters affecting the flow of electrically conductive fluids such as volumetric radiation,heat absorption,heat generation,and magnetic field(MF)is very vital due to its existen...
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The simultaneous investigation on the parameters affecting the flow of electrically conductive fluids such as volumetric radiation,heat absorption,heat generation,and magnetic field(MF)is very vital due to its existence in various sectors of industry and *** present research focuses on mathematical modeling to simulate the cooling of a hot component through power-law(PL)nanofluid convection *** temperature reduction of the hot component inside a two-dimensional(2D)inclined chamber with two different cold wall shapes is *** formulation of the problem is derived with the lattice Boltzmann method(LBM)by code writing via the FORTRAN *** variables such as the radiation parameter(0–1),the Hartmann number(0–75),the heat absorption/generation coefficient(−5–5),the fluid behavioral index(0.8–1.2),the Rayleigh number(103–105),the imposed MF angle(0°–90°),the chamber inclination angle(−90°–90°),and the cavity cold wall shape(smooth and curved)are *** findings indicate that the presence of radiation increases the mean Nusselt number value for the shear-thickening,Newtonian,and shear thinning fluids by about 6.2%,4%,and 2%,*** most cases,the presence of nanoparticles improves the heat transfer(HT)rate,especially in the cases where thermal conduction dominates *** is the lowest cooling performance index and MF effect for the cavity placed at an angle of 90°.The application in the design of electronic coolers and solar collectors is one of the practical cases of this numerical research.
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