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Hamilton Wood & Company helps forward-thinking businesses unlock value, reduce risk and support sustainable growth through R&D tax credits, property capital allowances and business finance.
Water flow in the river Thames has dropped low enough to warrant the use of England’s only large-scale desalination plant, but it hasn’t been switched on at all this year
People with ADHD are unusually sensitive to hormone shifts. Psychiatrists have started to pay attention, creating strategies to address the intense emotions and cognitive challenges caused by these changes
Blood tests may give different results depending on when in the day, or the year, they are taken, which could result in people missing out on an anaemia diagnosis
Lifting at least 50 kilograms twice a week improved older women's muscle mass, mobility and balance
A review of thousands of scientific papers about quantum computers finds that most don’t provide code that can be tested on independent devices or that the code doesn’t work
Attackers with no technical skills can now use AI models to find and exploit loopholes quickly and they can deploy them on a massive scale, raising fears that organisations without large budgets for cyber defence will be much more vulnerable
To cut the cost of key stage 2 assessments, a UK government project proposes to use scripts generated by ChatGPT instead of real children's writing as examples supplied to moderators who check that grades are awarded fairly
A drug made up of THC, the main psychoactive component of cannabis, reduced the severity and incidence of nightmares in people with PTSD
The use of explosives to kill fish is widespread across the tropics, and acoustic monitoring in an Indonesian archipelago detected more than 3500 explosions in 483 days
Almost three-quarters of England is now in drought conditions, resulting in restrictions on water use in many areas and severe wildfires – here's how it's affecting farming, wildlife and trees
Snails have five distinct types of mucus, each with its own job. The mollusks tweak calcium secretions to get the chemical mixture just right.
A recent shot of the COVID-19 vaccine doubled survival time in glioblastoma patients who had undergone tumor biopsy or surgery.
Animals searching for water brought the forest to the city, perhaps sparking Brazil’s first yellow fever outbreak in decades.
Necrotizing enterocolitis strikes premature babies with almost no warning. A new approach aims to detect it early with a quick, low-risk scan.
In fiction, photographic memories crack the case or save the day. But our brains can’t hold on to everything — and that’s a good thing.
Gluons do more than hold protons together. They may also help define the proton’s identity through a quantum property called baryon number.
The sun frequently flings plasma into space, but sightings of such eruptions on other stars are rare. Magnetic fields could explain why.
Growth rings on a fossil bone suggest at least one mammal ancestor gave birth to live young rather than laying eggs 236 million years ago.
Estrogen-only menopause therapy in older women was linked to less Alzheimer’s brain pathology at autopsy but may not prevent the disease.
A 26-kilogram plastic garment, flown on a model human torso on the uncrewed Artemis I mission, may one day protect astronauts from solar storms.
In the lab, female frogs were less likely to choose preferred males as mating calls increased, potentially giving other males a better shot.
Genetic screening that identifies cancer-linked mutations in newborns could give doctors a head start on treatment, but it comes with risks.
What makes a greener wipe? Researchers have more to say about bamboo's ecological risks, given limited carbon footprint data.
Scientists have identified the edge of galaxy IC 1101 and crowned it with the title of largest known galaxy.
A new brain-imaging study suggests that dogs may be able to distinguish between certain negative human emotions just by looking at people’s faces.
School device use links with lower test scores and distractions abound. But reversing the entrenched pandemic pivot to screens will be hard.
Chemical analysis of Bronze Age iron objects indicate that Greek nobles may have indulged in signet rings made with precious metal from the sky.
In simulated conversations, social hierarchy can sway AI agents, making lower-status systems more likely to follow harmful requests.
Compared with standard flu shots, Moderna’s mFlusiva generates stronger, longer-lasting immunity and is more effective at preventing infection, data show.
A sweet tooth for sugars from fruits and honey may have helped fuel brain growth in our primate cousins and early human ancestors, a new study suggests.
Complex network bottlenecks, as core constraints governing system efficiency, stability, and resilience, reflect structural imbalances among network topology, functional flows, and inter-component coupling. They substantially affect the performance and reliability of critical infrastructure and socioeconomic systems. As a prominent research topic, current studies remain fragmented in theories and methodologies, making it difficult to formulate targeted bottleneck mitigation strategies for diverse network scenarios. Meanwhile, the proliferation of big data, artificial intelligence, and other emerging technologies has reshaped traditional analytical paradigms. This paper systematically reviews state-of-the-art research, which classifies bottlenecks by their identification object, origin, scope, and temporal characteristics, and categorizes identification methods into topology-based, flow/load-based, dynamics-based, machine learning-based, and deep learning-based approaches. We further summarize future development trends and highlight key unresolved challenges.
Multicomponent systems operating in dynamic environments are affected by cumulative environmental shocks and dependent component lifetimes, which may lead to inaccurate reliability evaluation and inefficient reliability allocation if ignored. To address this issue, this paper develops a non-homogeneous pure birth process (NHPBP)-driven stochastic time-scale model for multicomponent systems. The environmental shock-counting process is modeled by an NHPBP, while the stochastic time scale is constructed as a path-dependent cumulative exposure functional driven by the whole shock history. Based on the Laplace transform of the stochastic time scale, component survival functions, joint survival functions, and reliability expressions for typical system structures are derived. Positive quadrant dependence among component lifetimes is also established. Furthermore, a cost-oriented reliability allocation model is formulated under a system-level reliability constraint and solved using a genetic algorithm. Numerical experiments on an automotive braking system show that the conventional non-homogeneous Poisson process (NHPP)-based model may overestimate system reliability under cumulative shock amplification, whereas the proposed NHPBP-based allocation model provides feasible allocation schemes under dynamic environments.
The state of health (SOH) is a key indicator of lithium-ion battery degradation, whose accurate assessment is essential for the reliable operation of battery driven systems. Most existing methods rely on features derived from individual or adjacent cycles, which cannot exploit variation information hidden in monitored signals across different cycles. To address this issue, this paper proposes a novel framework that uses cross-cycle features to estimate the SOH in a derivative manner. Firstly, cross-recurrence quantification analysis (CRQA) is applied to compare battery signals across different cycles, constructing CRQA metric matrix families that reflect cross-cycle variations in raw measurements. Then, the variation of SOH (ΔSOH) between any two cycles is introduced as the prediction target, instead of predicting SOH directly. Next, a convolutional neural network with time series cross-validation is developed to predict ΔSOH, preserving the temporal dependency inherent in ΔSOH. Finally, the proposed framework is implemented and tested on the NASA battery dataset, where the prediction performance is evaluated and compared. The experimental results show a mean absolute error of 0.2965% and a root mean square error of 0.4156%, confirming the feasibility and potential of the cross-cycle health indicator-based indirect approach in battery SOH estimation.
The quality and quantity of data influence the development and performance of advanced battery management algorithms. Existing methods that ignore the issue of incomplete data (especially in terms of voltage data) in real-world operational scenarios will limit their practical deployment and commercialization. In this study, a generative framework based on a Conditional Variational Autoencoder and a transformer structure is proposed. This framework leverages condition variables collected during battery degradation and reconstructs complete standard charging voltage curves from limited voltage segments. The battery’s future state of health (SOH) can then be estimated with reconstructed charging-voltage data. By analyzing field data from an energy storage system, a simulation condition was designed to collect the degradation data. Experimental validation shows that the proposed framework can reconstruct the charging voltage profile and achieve accurate SOH estimation. Furthermore, testing under incomplete-data conditions shows that the reconstructed voltage profiles can provide useful information for online SOH estimation in battery management applications.
Floating offshore wind turbines (FOWTs) are becoming an important part of future energy systems and can complement conventional energy grids in supporting overall energy safety and security. Understanding the dynamic reliability evolution of FOWTs under hazardous events and degradation-induced failures remains largely unexplored and represents a major scientific challenge. Existing monitoring systems, such as SCADA, have limited capability to identify the true root causes of component-level failures. Consequently, maintenance actions may target incorrect or incomplete failure sources, while undetected root causes may continue to propagate residual damage and accelerate degradation of other components. This study develops a dynamic reliability assessment framework for resilience-oriented recovery management of FOWTs under hazardous conditions. A Bayesian network is employed to represent the hierarchical FOWT system and model the propagation of component-level failures to subsystem- and system-level functionality degradation. During recovery, the framework captures the effects of residual damage from unidentified or incompletely repaired root failures on subsequent reliability evolution. A condition-aware deep inspection module is introduced to represent a PHM-enabled recovery process. Although this strategy requires additional inspection effort and decision-making resources before maintenance, it can more accurately identify root causes and propagation pathways, supporting more effective recovery decisions. A case study demonstrates that system reliability can decrease rapidly when critical components are affected by hazardous events. It further shows that experience-based recovery can partially restore system functionality but may fail to eliminate residual damage when root causes are not fully identified. In contrast, the condition-aware strategy achieves greater reliability restoration by improving root-cause identification and repair effectiveness. The results reveal the importance of integrating condition-aware inspection into post-disaster recovery planning and highlight the value of dynamic reliability assessment for resilience improvement in FOWTs. Specifically, the study provides a quantitative understanding of how PHM performance influences recovery effectiveness and resilience improvement, thereby supporting the evaluation of PHM value in post-disaster recovery management of FOWTs.
AI tools are amazing for getting stuff done, but could be losing basic human skills like handwriting and critical thinking. Let’s not forget to practice these essential abilities as we embrace the digital age.
Want an AI page builder in Gutenberg? Otter Blocks 3.2 generates full sections and pages from a simple prompt. Learn the setup, the catch, and what free vs Pro gets you.
Tutor LMS vs Masteriyo, compared round by round: free features, quizzes, payments, ecosystem, and pricing. Find out which free WordPress LMS fits your course! The post Tutor LMS vs Masteriyo: Which Free LMS Wins in 2026? appeared first on Themeisle Blog.
Hi there, Before you read any further, another security updates needs your attention: WordPress 7.0.4 is out. Update now! You might have noticed, that the Gutenberg Times website has a new theme. It’s built on top of the Twenty Twenty-Five default theme. I started working on it last year, but was pulled away by other priorities. Then AI Enablement weeks arrived and I started to use all kinds of different AI tools for design and WordPress. None of them were really good at block themes at first. Then Telex got me close and I used it for my Block theme workshop. As the final stack I used WordPress Studio with the new AI Agent (Beta) and Claude. Both competently used theme.json and block markup for patterns, template and template parts. The biggest hurdle, and that’s why it took multiple trials, was that the podcast data wasn’t block-theme ready so I had to build a plugin that handles all the block bindings and assembles them into templates. The plugin is in the WordPress repository (still beta), if you are interested. During the process I used Claude and WordPress Agent skills. Between November 2025 and August 2026 the quality of Claude’s work has improved considerably and it produced much more robust code. The deployment to GitHub and WordPress repository was a breeze. Take a look at the new podcast page. All feedback is welcome! The WCUS program team announced great keynote speakers:: Bo English-Wiczling, PayPal, Loyal Pyczynski, Disney and Meta, Amanda Ventura, Waymo and the fireside chat w/ Matt Mullenweg round up a fantastic roster of speakers and topics. If you can make it get your ticket now. And I see you on the WCUS Livestream! Have a great weekend! Yours, Birgit Developing Gutenberg and WordPress WordPress 7.0.4 shipped as a security release fixing a single vulnerability: an authenticated remote code execution via malicious file upload, affecting sites running Imagick with Ghostscript, responsibly reported by the team at pwn.ai. Release lead John Blackbourn notes the fix is being backported all the way to the 4.7 branch and into the 7.1 release candidate. If your site doesn’t update automatically, head to Dashboard → Updates and click Update Now. Release day falls on the last day of WordCamp US, and Justin Tadlock’s August roundup of what’s new for developers tells you what to test in the days that remain: responsive block styles with theme-configurable breakpoints, pseudo-states for Buttons and Navigation Links, the now-public SVG Icon API, and the always-iframed post editor. He also flags the change most likely to quietly break something — post list table row headers moved — and notes React 19 is punted again. Joe Dolson tallies 88 accessibility enhancements and bug fixes in WordPress 7.1, 45 in core, 43 in the editor. Highlights are the new accessible tooltips API, post list tables that identify rows by title instead of checkbox, a decorative toggle for the Image block, and stronger focus indicators throughout. He’s equally candid about the known regression: the Media Library’s infinite scroll is an inaccessible pattern, and the note walks you through three ways to turn it off. Just in time for WCUS Contributor Day, JuanMa Garrido released v1.0 of the WordPress Contributor Toolkit. Your first Core contribution no longer starts with installing Git, Node.js, and Docker — this desktop app handles it all. After running the setup wizard, contributors can link a Trac ticket, apply and test existing patches on a running site, then open a pull request, attach a patch, or hand their work to a mentor. If you are heading to Phoenix and want to join the Core table, download it and create your first site before Sunday, so you can hit the ground running. The latest episode is Gutenberg Changelog #133 – Gutenberg 23.6 Release and WordPress 7.1 48 fixes for the small annoyances that add up: Ella van Durpe opened a round of Block Editor Paper Cuts for the WordPress 7.2 cycle. The list spans big tasks like rethinking appenders and inserters, writing-flow improvements, and long-standing bugs — pasting from Excel, Safari selection quirks, multi-block selection on iOS. Nine items are already done and several more have PRs in progress, so if one of these papercuts has been bugging you, now’s the time to test or comment. Jeff Paul opend the call for volunteers for WordPress 7.2 release squad. The release is scheduled for December 9th, 2026. That’s of course, still preliminary. Plugins, Themes, and Tools for #nocode site builders and owners Elliott Richmond pulled fourteen WordPress 7.1 features from the Source of Truth and tested every one hands-on against the release candidate for his latest video — no speculation, no reciting release notes. You’ll see responsive styling controls, custom breakpoints in theme.json, hover, focus and active states, the new Icon, Tabs and Playlist blocks, the media editor modal and the mark-as-decorative accessibility option. Thirteen earn a genuine thumbs up; the one mixed verdict only asks you to think backwards for a bit. Image processing moves from your server to the browser in WordPress 7.1, and Carlo Daniele’s rundown of client-side media processing, design tools, and the Abilities API for Kinsta explains what that shift means: libvips compiled to WebAssembly produces images roughly 15% smaller while cutting server CPU and RAM. He also covers rich-text Notes with @mentions, the Playlist and Tabs blocks, four new Abilities API lifecycle filters, and the design tokens plugin developers can use to style admin screens. Do custom field builders need to worry about WordPress 7.1? Lua Nguyen answers for the Meta Box community with a look at what’s new and how it affects Meta Box users. The always-iframed editor is the big one — Meta Box blocks already run on Block API v3 with modal-based editing, so you can upgrade without changes. Client-side media processing covers the Image fields automatically, and editable blocks inside Custom HTML give developers finer control over what clients may touch. WooCommerce 11.0.1 arrived as a security and compatibility dot release, and Brian Coords lists what’s inside: a stronger, salted hashing scheme for guest session cookies, sanitized notices in Cart and Checkout blocks, capability checks on image matching, onboarding and Marketplace endpoints — plus faster logging that cuts checkout latency on stores with large log backlogs. It also readies the Orders list for WordPress 7.1’s changed list-table markup, so update your stores before August 19. Theme Development for Full Site Editing and Blocks Your hero area looks gorgeous on desktop and clunky on a phone — a scenario Eric Karkovack solves in his walkthrough on how to hide WordPress blocks based on device. He builds two versions of the hero, then uses the Block Visibility controls from WordPress 7.0 to hide one on mobile and the other on desktop and tablet — no plugin, no custom CSS. A neat companion piece to the responsive block styles arriving in 7.1. WordPress uses “patterns” for two related but different things, and Gina Lucia sorts them out in her guide to WordPress patterns vs reusable blocks — the latter renamed synced patterns back in WordPress 6.3. Regular patterns become independent copies once inserted; synced patterns stay connected, so one edit updates every instance, with partially synced overrides for things like team member cards. She also draws the line between patterns and templates and shows you how to save your own. “Keeping up with Gutenberg – Index 2026” A chronological list of the WordPress Make Blog posts from various teams involved in Gutenberg development: Design, Theme Review Team, Core Editor, Core JS, Core CSS, Test, and Meta team from Jan. 2024 on. Updated by yours truly. The previous years are also available: 2020 | 2021 | 2022 | 2023 | 2024 | 2025 Building Blocks and Tools for the Block editor If your plugin styles the post list table or expects a non-iframed editor, WordPress 7.1 has surprises in store. Jonathan Bossenger spent a livestream testing the developer-focused changes from our Source of Truth ahead of release day: responsive per-viewport block styles, hover, focus and active states, the admin bar rendering as a block, the Playlist and Tabs blocks, and the reworked Notes with mentions. He flags a gradient-over-background-image bug live and shares migration notes for both breaking changes. One npx command scaffolds the whole plugin — from there, Emre Ekener‘s six-step tutorial on building your first custom Gutenberg block from scratch has you shipping an editable CTA block with heading, description, and button. Along the way you’ll learn what actually matters: attributes in block.json, the split between edit.js and save.js, RichText for inline editing, and InspectorControls for sidebar settings. As he puts it, the complexity scales, but the structure stays the same. Ai and WordPress You configure an AI provider once, and every plugin on the site can use it — no keys in plugin settings, no provider lock-in. Team WPShout’s developer guide to the AI connectors and wp_ai_client_prompt() covers where credentials live, why environment variables beat the database (keys there sit unencrypted), and builds a complete post-summarizing plugin whose actual AI work takes five lines. The gotchas section warns you: core ships no spend limit, so gate every feature behind the support checks. Greg Ziółkowski‘s walkthrough of the Abilities API in WordPress 7.1 covers the three areas the release fills in: an execution lifecycle you can observe with actions and steer with filters, a shared preparation layer that turns canonical schemas into portable Draft 4 copies for REST and AI clients, and discovery filtering in wp_get_abilities() by category, namespace, and metadata. Each extension point comes with a working code example and the trade-offs he’d weigh before reaching for it. Need a plugin .zip from Gutenberg’s master branch?Gutenberg Times provides daily build for testing and review. Now also available via WordPress Playground. There is no need for a test site locally or on a server. Have you been using it? Email me with your experience. Questions? Suggestions? Ideas? Don’t hesitate to send them via email or send me a message on WordPress Slack or Twitter @bph. For questions to be answered on the Gutenberg Changelog, send them to changelog@gutenbergtimes.com
Migrating away from LearnDash? Move your courses, quizzes, students, and orders to a new WordPress LMS without losing anything important. Step by step. The post How to Migrate Away From LearnDash (Without Losing Your Courses) appeared first on Themeisle Blog.
Lightweight design of leaf springs is a key approach to reducing the operating costs of commercial vehicles. In recent years, a variety of new materials and manufacturing processes have created opportunities for the performance improvement of traditional automotive leaf springs. Leaf springs have complex stress characteristics that involve typical mechanical behaviors, including nonlinearity, large deformation, and friction between spring leaves. In the design of leaf springs for light-duty vehicles, 50SiMnCr ultra-high-strength spring steel with a tensile strength over 2000 MPa was innovatively adopted, and response surface optimization was carried out. The thickness and width of the leaf springs were taken as design variables, while equivalent stress, deformation, and mass were set as optimization objectives and constraints. After optimization, the maximum equivalent stress of the leaf springs was 1335.2 MPa. This value was lower than the yield strength of the material (1855 MPa), yielding a safety factor of 1.39 that satisfied the design specifications for automotive leaf springs. The maximum deformation reached 42.462 mm, which was within the allowable full-load deflection range of the suspension system. A weight reduction of 14% was achieved. The optimized leaf springs exhibited excellent fatigue life and overall reliability, meeting the design requirements for high-cycle fatigue performance. This study proposes a new method for the lightweight design of automotive leaf springs.
Common distresses in bridge expansion joints, such as rutting and interface debonding, often result in premature failure and frequent replacement. To address these issues, this study evaluates a custom-synthesized polyurethane (PU) modified bitumen for use in asphalt plug joints (APJ) against a commercial high-viscosity elastic (HVE) modified bitumen. The rheological properties of the binders were characterized using temperature sweep, frequency sweep, and stress relaxation tests. To optimize the APJ mixtures, four joint mixtures (P-Ⅰ, P-Ⅱ, H-Ⅰ, and H-Ⅲ) were prepared using two binder types (PU and HVE), three combined gradations (Ⅰ, Ⅱ, and Ⅲ), and varying binder-to-aggregate ratios (1:6, 1:7, and 1:8). Their mechanical performance was investigated through rutting, low-temperature bending, freeze–thaw splitting, and fatigue tests. Experimental results indicated that the PU modified bitumen exhibited high-temperature mixture performance comparable to that of the HVE bitumen, while maintaining similar low-temperature properties. Furthermore, PU-based mixtures exhibited higher flexural strength and elastic modulus, along with superior water stability and fatigue resistance. This study provides a reference for developing durable bridge joints that extend service life, thereby contributing to reduced maintenance needs and resource consumption.
A six-band polarization-insensitive terahertz metamaterial absorber based on a hybrid square-ring and circular-ring resonator is proposed for refractive-index sensing applications. Numerical simulations were carried out using the finite-difference time-domain method. The absorber consists of a patterned metallic resonator, a dielectric spacer, and a metallic ground plane. The results demonstrate six distinct absorption peaks within 0.4–4.5 THz, five of which exhibit absorption above 95%, while the sixth peak reaches 64.8%. The resonant frequencies can be effectively tuned by varying the structural parameters. Electric- and magnetic-field analyses indicate that the six absorption peaks arise from square-ring-dominated, circular-ring-dominated, and hybrid resonances with distinct field-localization characteristics. Refractive-index sensing analysis shows that the proposed absorber exhibits favorable sensing performance, with a maximum figure of merit of 5.71 at the f4 resonance peak. In addition, stable polarization-insensitive absorption behavior is achieved owing to the symmetric resonator geometry. Benefiting from its simple structure, stable polarization response under normal incidence, and favorable refractive-index sensing performance, the proposed absorber shows potential for terahertz refractive-index sensing and related integrated terahertz sensing devices.
The phase transformation behaviors of a Ni–Cr–Mn–Mo gear steel were systematically investigated by dilatometric analysis. Continuous-cooling-transformation and time-temperature-transformation diagrams were constructed. The results indicated that the austenite start temperature (Ac1) and finish temperature (Ac3) were 680 °C and 770 °C, respectively. Continuous cooling experiments confirmed that the studied gear steel exhibited excellent bainitic/martensitic hardenability. Bainite formed over the cooling rate range of 0.1–15 °C s−1, while the fully martensitic microstructure formed with a critical cooling rate of 8–15 °C s−1. Isothermal transformation experiments revealed that no phase transformation occurs after 2 h holding at 580 °C–620 °C, indicating a prolonged incubation period for ferrite. Within the temperature range of 320 °C–400 °C, the bainite fraction decreased with increasing temperature. When isothermally held above 360 °C and subsequently cooled to ambient temperature, martensite-austenite (M/A) islands formed. The volume fraction and size of M/A islands are proportional to the isothermal temperature. Kinetic equations for continuous cooling and isothermal transformations were established based on the Koistinen–Marburger (K–M) and Johnson–Mehl–Avrami–Kolmogorov models, respectively, with good agreement between calculated and experimental values. This study provided a theoretical basis for optimizing the heat treatment process of the studied gear steel, particularly for selecting critical process parameters including austenitizing temperature, quenching cooling rate, and austempering temperature, and so on.
High-performance transmission components such as shafts and axles are frequently subjected to cyclic torsional loading, where fatigue resistance is critical for service reliability. In this study, a modified austempering process was developed to produce a bainite-martensite mixed microstructure in SAE 8660 steel for enhancing torsional fatigue performance. Microstructural characteristics were systematically examined using optical microscopy, scanning electron microscopy, and quantitative electron backscatter diffraction analysis. Mechanical properties were evaluated through hardness, tensile strength, torsional strength, and torsional fatigue tests. In addition, finite element analysis (FEA) was employed to compare the macroscopic deformation responses of the different heat-treatment conditions using experimentally measured constitutive data. Compared with the conventional quenching and tempering condition, the modified microstructure exhibited improved torsional fatigue resistance while retaining a relatively high torsional strength, demonstrating an effective balance between strength and deformation capability. Microstructural characterization and fractographic observations were consistent with improved strain accommodation and more tortuous crack propagation in the bainite-martensite mixed microstructure. The FEA predictions reproduced the experimentally measured maximum shear stresses with deviations below 3.3%, while the calculated damage was primarily localized within the central gauge section. These results indicate that controlled bainite-martensite microstructure design via modified austempering represents a promising approach for improving torsional fatigue performance in high-strength steels used in torque-transmission components.
In this study, the mechanical and electrical properties of as-cast and thermomechanically treated Al–xCu–0.25Mg alloys (x = 0–1.25 wt%) were systematically investigated, with the Mg content fixed at 0.25 wt% to isolate the effect of Cu addition. In the as-cast state, increasing the Cu content from 0 to 1.25 wt% continuously increased the tensile strength from 69 MPa to 141 MPa and the hardness from 27 HV to 59 HV, while the electrical conductivity decreased from 60.0%IACS–53.5%IACS. Among the investigated compositions, the as-cast Al–0.75Cu–0.25Mg alloy exhibited the best overall balance of strength, conductivity, and ductility, with a tensile strength of 110 MPa, an electrical conductivity of 56.3%IACS, and an elongation of 29.2%. This alloy was therefore selected for further thermomechanical treatment involving solution treatment (515 °C/90 min), cold drawing, and subsequent aging at 260 °–340 °C. After aging at 260 °C for 12 h, the alloy achieved an improved combination of properties, with the electrical conductivity increasing to 60.2%IACS while retaining a tensile strength of 143 MPa. Microstructural characterization by x-ray diffraction, scanning electron microscopy/energy dispersive spectroscopy, and electron backscatter diffraction indicates that the strengthening behavior is associated with solid-solution strengthening and the precipitation of θ-Al2Cu phases, whereas the conductivity evolution is closely related to the precipitation of Cu from the matrix, the resulting reduction in lattice distortion, and changes in precipitate morphology during aging. These results provide useful guidance for optimizing the strength-conductivity balance of Al–Cu–Mg alloys through compositional design and thermomechanical treatment.
Hyperspectral technology can readily identify targets in vegetated environments by exploiting subtle spectral differences, imposing stringent requirements on camouflage materials. To mimic vegetation spectra with particle-embedded films, the optical properties of the embedded particles must first be determined, yet these properties are frequently unavailable and cannot be measured directly. In this study, an improved Kubelka–Munk (K–M) model that accounts for asymmetric forward and backward scattering is adopted as the forward solver, and its predictive accuracy is verified against physical samples. On this basis, two inversion methods are established to retrieve particle optical properties from measured reflectance and transmittance spectra. The first retrieves the optical constants of homogeneous particles, whereas the second characterizes inhomogeneous particles as a whole at unit volume fraction. Both methods are validated using representative titanium chromium yellow and microcapsule pigment particles. Furthermore, using the retrieved optical properties as design inputs, a yellow camouflage material closely mimicking the solar spectrum of natural yellow foliage is designed and fabricated. These methods can be applied not only in hyperspectral camouflage but also in areas such as radiative cooling.
This paper presents a case study of immersion ultrasonic C-scan inspection of a single fatigue-cracked laser powder bed fusion 316 L stainless steel double-hourglass specimen, relevant to the qualification of additively manufactured components for nuclear power plant applications. Ultrasonic testing of complex-shaped additively manufactured 316 L components presents particular challenges, especially for contact testing methods. Scans were performed from four lateral faces (0°, 90°, 180°, and 270°). The results show that the crack is successfully detected from the two flat-face views (0° and 180°), whereas the echo signals from the two curved-face views (90° and 270°) are dominated by geometric beam deflection, mode conversion, and amplitude loss, producing unreliable ultrasonic images. The crack detection is confirmed by Penetrant Testing.
To improve the service stability of carbon fiber reinforced SiBCN matrix composites (C/SiBCN) in high-temperature and oxidative environments, BN interphases with different thicknesses were fabricated on carbon fiber surfaces by chemical vapor deposition process. The effects of the BN interphase on the microstructure, mechanical properties, thermal stability, and oxidation resistance of the composites were systematically investigated. The results show that the BN interphase effectively prevented direct contact between the carbon fibers and the SiBCN matrix, thereby suppressing interfacial reactions and carbon fiber degradation at elevated temperatures and reducing thermal damage in the composites. With increasing BN coating thickness, the mass loss of the composites after heat treatment at 1500 °C–1900 °C generally decreased. However, an excessively thick BN coating hindered precursor infiltration and introduced additional porosity, resulting in degraded mechanical properties. After heat treatment at 1700 °C, the BN0.2 sample retained a flexural strength of 82.9 MPa, compared with 51.1 MPa for the sample without a BN interphase, indicating superior retention of high-temperature mechanical performance. In oxidative environments, the BN interphase also slowed oxygen diffusion toward the fibers and interfaces, reduced oxidative damage to the carbon fibers, and maintained the structural integrity of the composites. In particular, the BN0.2 sample retained a flexural strength of 114 MPa after static oxidation at 1400 °C for 30 min, with a strength retention rate markedly higher than that of the composite without a BN interphase. This study demonstrates that rational control of the BN interphase thickness is an effective strategy for enhancing the high-temperature thermal stability and oxidation resistance of C/SiBCN composites, providing guidance for the design of high-temperature thermal protection structural materials for aerospace applications.
The objective of this work is to investigate the effect of aqua-alcoholic solvents on the physical properties of zinc oxide (ZnO) thin films prepared using a simple and cost-effective atomization technique. X-ray diffraction analysis revealed that, regardless of the solvent type, the thin films are polycrystalline and crystallize in the hexagonal wurtzite structure. Fourier transform infrared analysis confirmed the presence of functional groups. Scanning electron microscopy observations showed that the film morphology is strongly influenced by the nature and proportion of the solvents, with the distilled water/ethanol (25/75) mixture promoting Volmer–Weber growth, characterized by fine, compact, and uniformly distributed grains. UV–visible measurements indicated that the variation of the distilled water/alcohol ratio significantly affects the optical properties: the maximum transmittance reaches 82% for distilled water/ethanol (25/75) and 80% for distilled water/methanol (25/75) in the visible range. The optical bandgap shows only slight variation (3.27–3.30 eV), indicating that the solvent mainly affects microstructure and defect distribution rather than the intrinsic electronic structure of ZnO. Based on the structural, morphological, and optical analyses, the distilled water/ethanol (25/75) composition provides the optimal balance between crystallinity and optical transparency in ZnO thin films, suggesting its potential suitability for optoelectronic applications.