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Tiltrotor Whirl Flutter Mitigation Through Active Mini-tab Control
Get PDFTiltrotor aircraft offer a versatile flight envelope for the commercial, civil, and military domains, and are a leading platform for the emerging urban air mobility market. However, these configurations are vulnerable to safety-critical aeroelastic behaviors - such as whirl flutter - that must be addressed by new technologies. Whirl flutter instabilities can arise in tiltrotors due to the combination of the large rotor mass, flexible wing, and high advance ratio, placing significant constraints on design and operation. To address the limitations of passive design mitigations, active control strategies have been explored previously using flaperon and swashplate control. Using primary controls such as these in vibration control is undesirable from a reliability and certifiability standpoint, so a stand-alone active mini-tab device is proposed here as a novel method of improving the stability of tiltrotor whirl modes without affecting the primary controls. This paper presents a novel methodology for deriving empirical mini-tab models coupled to an expanded XV-15 tiltrotor model modified using finite element techniques. The proposed active mini-tab concept is demonstrated successfully with linear quadratic regulators, increasing the flutter advance ratio by up to 21%. This is the first time whirl flutter control has been demonstrated using a mini-tab
Promoting Social Resilience Based on the Relationship Between Difficulty in Emotion Regulation and Cyberspace Applications
Get PDFThe purpose of this study was to investigate the relation between difficulty in emotion regulation with social net sites addiction and game addiction with mediating hope to life in students. The current research method is descriptive and the research design is correlational. The statistical population of the present study included the all students of Islamic Azad University, East Tehran Branch. The Sampling method was Snowball. 400 students completed the questionnaires. Research tools included difficulty in emotion regulation questionnaire (Gratz and Roemer, 2002), Social Net Addiction scale (Matinfar et al, 2018), Game Addiction (Matinfar et al, 2017), Hope To Life Scale (Miller, 1988). Data analysis was done using Structural Equation Analysis by Amos version 18 and SPSS version 26 software. Data Analysis showed that difficulty in emotion regulation has directly effect in social net addiction(P<0/0001 β-0/39) . difficulty in emotion regulation has directly effect in Game addiction (P<0/05 β-0/13) .Hope of Life has the mediate role between between difficulty in emotion regulation with social net sites addiction and game addiction (P<0/05). Inaddition to practical and theoretical implications, research findings can be used as a useful model for providing psychological services to students to prevent social net addiction and game addiction
Trust me, I’m a twin? The importance of balancing positivity and realism for the safe and effective adoption of Digital Twins:Insights from the automotive, aerospace, and marine engineering sectors
Get PDFKey PointsPositive attitudes towards digital twins: participants generally view digital twins positively and think that they could have a positive impact in the near-term. High levels of trust: Participants reported high levels of trust in digital twins, even for applications that are not currently feasible. This suggests that there may be a tendency for over-trust that organisations should be aware of.Beware of over-trust: organisations should be aware of potential over-trust in digital twins and ensure that users have realistic expectations of what a Digital Twin can and cannot do. Ways to do this include ‘grounding’ discussions of the Digital Twin in details about its capabilities and how it was developed and validated. <br/
Examining factors influencing language acquisition success in Indonesian multilingual classrooms
Get PDFThis study examines the predictors of language acquisition success in Indonesian multilingual classrooms through the lens of major language acquisition theories, particularly social interactionist and cognitive perspectives. A quantitative approach was adopted, employing secondary data analysis from standardised language assessments of 100 secondary school students. Multiple regression analysis was used to explore the predictive effects of key variables, including socioeconomic status, prior academic performance, motivation, prior language exposure, cognitive abilities, and classroom teaching methods. Findings reveal that motivation, prior exposure, cognitive abilities, and collaborative learning strategies are stronger predictors of language proficiency than socioeconomic background. Moreover, informal learning environments and community support significantly enhanced students’ language development, underscoring the value of social interactionist perspectives. These results challenge the prevailing assumption that socioeconomic status is the primary determinant of language success and instead emphasise context-specific and learner-driven factors. The study highlights practical implications for language educators and policymakers: designing integrated curricula that combine formal and informal learning opportunities, prioritising motivational and collaborative teaching strategies, and developing early predictive models to identify at-risk learners. By reframing the predictors of language success, this research provides actionable insights for advancing multilingual education policy and practice in Indonesia and beyond
Development of novel photocatalytic metal oxide foams with controlled structure for the removal of micropollutants, using 3D printing and electrochemical anodization
No full textCl-Resistant Synergistic Removal of NO<sub>x</sub>and Chlorobenzene over SmMn<sub>2</sub>O<sub>5</sub>-Zeolite Composite Catalysts
Get PDFSynergistic catalytic removal (SyCR) of NOxand chlorinated volatile organic compound (CVOCs) emission from nonelectric industries is effective to suppress PM2.5and ozone complex air pollution. Catalysts with balanced competence to reduce NOxand oxidize CVOCs, as well as the resistance to chlorine poisoning, are critical to SyCR. Here, neighboring effects over SmMn2O5mullite (SMO) modified by HZSM-5 composite catalysts (SMO-Z) were demonstrated in the Cl-resistant SyCR of NOxand chlorobenzene (CB, a representative CVOCs). Characterizations demonstrated that HZSM-5 modification did not alter the crystal structure of SMO and retained Mn–O–Mn–Mn active sites for the SyCR of NOxand CB. HZSM-5 regulated the redox ability of SMO-Z to reduce the formation of inert nitrate species and to promote the N2selectivity. Acidic HZSM-5 acted as dechlorination sites to promote the breakage of the C–Cl bond via the nucleophilic substitution reaction and accelerated the formation of HCl to avoid Cl poisoning on catalysts. The fine-tuned compensation of surface acidity by HZSM-5 suppressed the competitive adsorption of NH3and CB on SMO-Z, which promoted NOxreduction at high temperatures, whereupon neighboring effects between HZSM-5 acidic dechlorination sites and SMO active redox sites on SMO-Z capitally promoted the SyCR efficiency and antichlorination poisoning performance.</p
Dense Matter in Neutron Stars with eXTP
Get PDFIn this White Paper, we present the potential of the enhanced X-ray Timing and Polarimetry (eXTP) mission to constrain the equation of state of dense matter in neutron stars, exploring regimes not directly accessible to terrestrial experiments. By observing a diverse population of neutron stars - including isolated objects, X-ray bursters, and accreting systems - eXTP's unique combination of timing, spectroscopy, and polarimetry enables high-precision measurements of compactness, spin, surface temperature, polarimetric signals, and timing irregularity. These multifaceted observations, combined with advances in theoretical modeling, pave the way toward a comprehensive description of the properties and phases of dense matter from the crust to the core of neutron stars. Under development by an international Consortium led by the Institute of High Energy Physics of the Chinese Academy of Sciences, the eXTP mission is planned to be launched in early 2030
pengWann:Descriptors of chemical bonding from Wannier functions
Get PDFFirst-principles calculations of periodic systems typically represent electronic structures through sets of eigenvectors and their corresponding eigenvalues, obtained by diagonalising a many-body Hamiltonian. These eigenvectors, known as Bloch states, molecular orbitals, or crystal orbitals, are generally delocalised across the entire structure, making them difficult to interpret in terms of chemically intuitive concepts such as bonds. To address this, it is common practice to project these extended Bloch states onto a localised basis, enabling the calculation of various local descriptors of chemical bonding or electronic structure. pengwann is a Python package for calculating some of these descriptors by projecting Bloch states onto Wannier functions (Kundu et al., 2021). Wannier functions provide a highly optimised local basis and, when derived from energetically isolated bands, span the same Hilbert space as the canonical Bloch states. The package provides a simple interface to the popular Wannier90 code (Pizzi et al., 2020), making it readily accessible to researchers already familiar with this widely-used tool
HydroHaptics: High-Fidelity Force-Feedback on Soft Deformable Interfaces using Hydrostatic Transmission
Get PDFSoft deformable interfaces offer unique interaction potential through input flexibility and diverse forms. However, force feedback on these devices remains limited, with pneumatic approaches lacking responsiveness and precision, while microhydraulic solutions are constrained to small form factors with limited input. We present HydroHaptics, a novel platform that enables high-fidelity force feedback on deformable interfaces via hydrostatic transmission. Surpassing current state-of-the-art methods, our approach allows fine-grained force feedback on soft interfaces, achieving a 10 N force change in < 100 ms and accurate 1 N, 10 Hz oscillation rendering. We detail the system's design and implementation, highlighting its ability to maintain the inherent interaction benefits of soft interfaces. A user study (N = 18) evaluates the system's performance, showing high accuracy in rendering distinct haptic effects (82.6% accuracy) and classifying input gestures (89.1% accuracy). To showcase the platform's versatility, we present four applications illustrating HydroHaptics' potential to enhance interaction with deformable devices and unlock novel user experiences.</p
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