Reuse Method Research Articles

Remotely extinguishing flames through transient acoustic streaming using time reversal focusing of sound

Acoustic waves are a possible reusable method to extinguish flames. Previous studies have placed the sound source near the flame or have used standing waves to reach large enough acoustic amplitudes to extinguish it. In this study, a new method is explored: using time reversal in a room to focus transient acoustic waves to the flame to extinguish it. The peak acoustic overpressure level needed to extinguish a candle flame in the middle of the room is 191 dBpeak re 20 μPa when using a frequency range of 300 to 15000 Hz. The sound level at other locations of the room during the focusing was 130 dB. The required peak level is lower when using a less stable flame, or when the flame is near a room boundary. The momentary focus of high-amplitude sound waves subsequently causes acoustic streaming or a flow of air at the flame location that extinguishes the flame. By analyzing high-speed video, it is shown that acoustic streaming extinguishes the flame when using this method, not the acoustic particle displacement. It is also shown that the streaming does not occur when the flame is not present.

Selective Extraction of Terbium Using Functionalized Metal–Organic Framework-Based Solvent-Impregnated Mixed-Matrix Membranes

Advancements in membrane separation techniques will expand the applications and requirements for highly specialized, inventive, efficient, and resistant separation materials. The selective separation of rare earth elements (REEs) is one of the expanding applications of membrane-based techniques, as their use is becoming more widespread. Membrane techniques are becoming increasingly desired as environmentally friendly, straightforward methods for treating wastewater and separating metals. For the separation of REEs, an innovative impregnated mixed-matrix membrane (IMMM) technique was developed in this study. It provides a selective, efficient, and reusable method that is suitable for industrial applications. Terbium was selectively adsorbed from other REEs using organophosphorus IMMM with a loading capacity of 113.2 mg/g in 3 h and was reused three times without destroying the initial membrane. Solvent impregnation is thought to offer specific chelation sites that are selective for terbium separation.

IGA-Graph-Net: Isogeometric analysis-reuse method based on graph neural networks for topology-consistent models

This paper introduces a novel isogeometric analysis-reuse framework called IGA-Graph-Net, which combines Graph Neural Networks with Isogeometric Analysis to overcome the limitations of Convolutional Neural Networks when dealing with B-spline data. Our network architecture incorporates ResNetV2 and PointTransformer for enhanced performance. We transformed the dataset creation process from using Convolutional Neural Networks to Graph Neural Networks. Additionally, we proposed a new loss function tailored for Dirichlet boundary conditions and enriched the input features. Several examples are presented to demonstrate the effectiveness of the proposed framework. In terms of accuracy when tested on the same set of partial differential equation data, our framework demonstrates significant improvements compared to the reuse method based on Convolutional Neural Networks for Isogeometric Analysis on topology-consistent geometries with complex boundaries.

A Study on Recycling Waste Materials in Construction Industry

The development of the construction industry has been greatly increasing over these decades. The high construction number produces several issues including waste. Waste materials in the construction industry have been one of the concerns due to high generation and most of them ended up in landfill. However, it is believed that these waste materials are recyclable. It is also adequate to be used in the construction industry for environmental sustainability as well as to reduce dependence on natural resources. Therefore, the primary objective of this research is to identify practices applied in the construction industry in recycling waste materials. Moreover, this study also serves the purpose to analyse the advantages and disadvantages of the common practices applied in recycling waste materials. Last but not least, it is expected as well throughout this study, that a recommendation may be made based on the effectiveness of recycling. To test the theories, an online questionnaire survey was conducted with 66 respondents from experts in the construction industry. The collected data further will be analysed using Statistical Package for Social Sciences (SPSS) version 26.0 software. From the results, the majority of the construction industry companies in Malaysia are aware of the waste management issue and practice waste materials recycling. The most recycled wastes are paper, cardboard, timber, and metal while the least recycled wastes are glass and asphalt due to their difficulties. Some of the waste categories are recycled by direct reuse methods such as timber and cardboard. Moreover, there is still room to improve the effectiveness of the current recycling system specifically in terms of operational cost. The current recycling system is beneficial in terms of resources, economic, and natural resource dependencies. Furthermore, the quality and reliability of the recycled products still need further improvement to be used as the main materials in the construction industry.

A novel reuse method of machining process knowledge for similar ruled surface blades based on dual mapping

A novel reuse method of machining process knowledge for similar ruled surface blades based on dual mapping

Impact Mill

An impact mill has been developed to produce powders from shavings of refractory metals using impact grinding method for reuse in electrometallurgy in devices with screw feed, for example, in 3D printers. The proposed device provides high uniformity of grinding with a minimum content of dust fraction and impurity content at low technical and economic costs. The result is achieved by using a Laval nozzle, which operates in the supersonic jet formation mode. In the area of the first Mach disk there are rod fenders arranged in a cascade, and the impact plate is located in the turbulence zone and is equipped with winglets with holes for separating crushed metal.

Ni doped carbon-based composites derived from waste cigarette polypropylene filter rod with electromagnetic wave absorption performance

Abstract Polypropylene is widely used in the plastics industry, especially in the tobacco industry, served as cigarette filters to reduce tar and harm. However, it’s difficult to degrade these polypropylene plastics and suitable methods for recycling and reuse is urgent. This research proposes an efficient method for the reuse of polypropylene cigarette filters by mixing waste polypropylene filters with nickel source in different proportions, followed by a facile calcination treatment to prepare nickel-modified carbon-based composite materials with excellent microwave absorption properties. Morphology and magnetic properties of as-prepared samples were analyzed via XRD, SEM, and VSM, exhibiting an increase in carbon content with raising nickel content. Nickel ion anchored on polypropylene fiber may facilitate better fixation of carbon chains during the polypropylene decomposition process. Among the as-prepared samples, CN2 exhibited superior microwave absorption performance, with an optimal absorption peak of -26.76 dB at 7.97 GHz when matched with a given thickness of 4.3 mm, and an effective absorption bandwidth of 3.64 GHz (8.04 GHz to 11.68 GHz) with a matching thickness of 3.5 mm, covering the X band. Therefore, the as-prepared microwave absorbers provides a feasible solution for the recycling and reuse of polypropylene filters, aligning with the tobacco industry requirements for green and sustainable development.

Revitalizing Golshan and Sharifieh caravanserais: a study in adaptive reuse and urban preservation

The inefficient urban textures often turn into hotspots of social anomalies, leading to depressed, insecure, and non-participatory spaces. The issue of preserving historic urban textures and their dynamic evolution is essential for sustainable urban development. This research delves into the potential for adaptive reuse of the Golshan and Sharifiye caravanserais in the Hamadan city in Iran. These historically valuable structures previously helped in the facilitation of trade and travel; now, they need regeneration. The research, therefore, aims to harness the tourism and functional capacity of the abandoned Sharifiye caravanserai by linking it with the more popular Golshan caravanserai. This link will prevent abandonment and the deterioration of the Sharifiye caravanserai through the creation of an in-between space since it revitalizes both sites. The study emphasizes preserving cultural heritage while at the same time accommodating modern amenities to meet present needs. Therefore, the proposed adaptive reuse method would focus on preserving historical integrity while enabling the building to have a contemporary use. The method then proposes the creation of a transitional zone that transits the historic fabric to modern interventions. The revitalization and reuse of these caravanserais should be able to attract traders, generate hospitable conditions for residents, and increase local income through the tourism generated and the commerce of handicrafts and traditional arts. Effective principles of adaptive reuse are needed to maintain stability in the structure and function of these buildings. The study concludes that a balanced and thoughtful adaptive reuse approach with in-between space can bring transformation in the abandoned space into a lively cultural hub that would contribute both towards economic and cultural development in Hamadan.

Study on the grading preparation of multifunctional materials and application from coal gasification fine slag

Alkali activation at high temperatures serves as a significant method for the resource reuse of coal gasification fine slag (CGFS). This experimental approach used CGFS, coal-based solid waste, to prepare multifunctional materials and neither waste acid nor alkali was discharged in the process. Using this method, MCM-41 with hexagonal mesopores and carbon/zeolite composite with NaP-type zeolite structures were prepared hierarchically. It is noteworthy that this synthetic method incorporates Al from CGFS into MCM-41, which enhances the acidic sites of the material. This modification endows MCM-41 with potential application in catalyzing guaiacol. Under the same conditions, CGFS-based MCM-41 demonstrated the capacity to convert guaiacol into cyclohexane. In contrast, commercial MCM-41 exhibited the ability to catalyze the conversion of guaiacol into cyclohexanol and cyclohexane. At the same time, the carbon/zeolite composite retains the Fe in CGFS and can be used for the catalytic oxidative degradation of tetracycline. The carbon/zeolite composite was able to degrade 100 mL of 100 mg‧L−1 tetracycline solution by 99.38 % in 120 min at dose of 30 mg, an H2O2 concentration of 25 mmol‧L−1 and solution pH of 3. This research outlines a promising approach for the innovative concept of "turning waste into treasure."

Efficient Self-cleaning and antibacterial ceramics with active sites fully exposed obtained from rare earth waste

The utilization of rare earth polishing powder waste (RPW) to prepare antibacterial ceramics can effectively avoid problems of pollution in the recycling process and waste of rare earth resources. Herein, a novel RPW-based antibacterial ceramics was developed, which possesses the core-shell structure with ceramics as the cores and the CeO2/BiOCl as the superficial coating. The antibacterial ceramics display notable antibacterial activity, and the inactivation rates of 3.3 log under visible light irradiation in 30 min and 2.4 log under darkness in 1 h were achieved, and the zone of inhibition values was found to be 16.6 mm for E.coil. The hardness of antibacterial ceramics was measured to be 897 (±38) HV, higher than commercial porcelain's hardness (600 HV). The antibacterial mechanism was verified by the Ce ion release, reactive species, and fluorescence-based live/dead cells. This study presents a novel antibacterial ceramic structure and green economic reuse method of rare earth waste.

Strategies for effective reuse of waste from abandoned buildings under sustainable development

Introduction: In the continuous advancement of urbanization, abandoned buildings are a huge challenge in achieving sustainable development goals. If these legacy buildings are not properly handled, they will cause a huge burden on society, economy, and the environment. Based on the material flow analysis method, an evaluation index system was constructed for legacy building resources, and a systematic study was conducted on the reuse pathways of their waste.Methods: This study focuses on the material flow, reuse pathways, and resource utilization strategies of legacy construction waste, aiming to improve the reuse efficiency of waste building materials and promote the achievement of sustainable development goals. In the study, indicator design was used to quantify the obstacles to the reuse of legacy construction waste, and social and economic costs were analyzed to ensure the comprehensiveness and scientificity of the research.Results: The experimental results show that the waste recycling rate under the implementation of this strategy reached 82.7%, and the resource utilization rate increased by 50.1%. For the obstacles to the reuse of construction waste, the network density reaches 0.052, and the overall network structure shows a lack of concentration, indicating that the current management methods for construction waste reuse have further optimization space.Discussion: The study effectively promotes the sustainable utilization of legacy buildings in cities, which is of great significance for improving the quality of urban space and promoting sustainable social development.

Composite Materials with Glass Fiber Waste and Blast Furnace Slag

Fiberglass is a waste generated in the construction materials industry, which is not dangerous for the environment, but long-term and very long-term storage is expensive. Finding a method of reuse as in creating a useful composite material led to the research work in this study. The impact of waste fiberglass and furnace slag on the characteristics of novel composite materials was examined in this study. The density and mechanical properties of the composite samples were examined to determine the impact of waste fiberglass (WFG) concentration in it. Washed river aggregates were replaced with WFG in various ratios in our laboratory tests. Concrete class C16/20 was utilized, having 0.35–0.7 w. % WFG and 2–10% slag. The obtained material was evaluated for density, workability, and compressive strength. The experiments were carried out in an accredited concrete station laboratory. The density of the resulting materials decreased as the WFG content was increased. The densities were higher than the witness sample, ranging from 2358 to 2405 kg/m3. The findings show that adding WFG and slag to concrete has a positive impact on its characteristics. With the addition of WFG, the mixture became more non-homogenous, but these characteristics can be optimized in future. Because of the differential in density between WFG and natural coarse aggregates, the fresh density of obtained composites dropped as the percentage of WFG increased; this could be an advantage, as the newly obtained material became lighter. The findings show that adding waste to concrete has a detrimental impact on its qualities. The introduction of blast furnace slag up to 5% does not modify the compressive strength, compared to the reference samples, but 10% slag causes a decrease in compressive strength of 4.2%. A proportion of 0.25% WFG causes a slight increase in mechanical strength; therefore, 0.25% WFG and 5% slag increased the compressive strength, the maximum value being obtained for a composite with 0.25% WFG, 5% slag, 5% sand and aggregates. Capitalization of WFG and slag resulted in significant economic and environmental benefits by reducing waste storage costs and production costs, and advantages resulted from the new material.

Ontological description method for building service-oriented distributed learning systems

The subject of the research is the analysis and justification of the use of software engineering processes based on ontologies of data access and representation of access to knowledge bases and knowledge reuse in the language of algebra of finite predicates, which is a class of descriptive logics. This approach allows you to use the advantages of ontologies and logic programming in the refactoring of distributed distance learning systems. The purpose of the work is to create a formalism for describing the interaction of services and algorithms for building web service interfaces for the implementation of an effective SOA system using the paradigm of access to data based on ontologies. To achieve the goal, the following tasks were solved: an analysis of the main types of interaction structures of SOA services, an overview of implementations of systems working with a family of descriptive logic languages, namely, algebra of finite predicates, and a description of the structure of the ontology necessary for the operation of service-oriented systems, which has the markup of the Semantic Web standard using finite predicate algebra equations. The task is an urgent task of ensuring the organization of interaction of Internet resources in the development of distributed virtual learning systems, and such interaction is enabled by the service-oriented architecture of software development. The article examines modern technologies of the Semantic Web and their role in ensuring the creation of applied software systems of distributed learning resources built using distributed interactive services. The considered methods and materials include methods of algebra of finite predicates, theory of algorithms, object-oriented design, theory of unification. The results. The semantics of the SOA system is obtained, which makes it possible to describe SOA systems in the languages of descriptive logic. The effectiveness of the mathematical formalism of the algebra of finite predicates for the tasks of logical analysis of applied ontologies, the use of knowledge reuse methods, and the description of service-oriented systems is shown. The necessity of using algorithms for automatic construction of web interfaces is shown. The conclusions of the work highlight the advantages of the researched solution, namely, algorithms for the automated construction of web service interfaces for SOA architecture, which make it possible to automatically build web service interfaces. Algorithms differ in a more general model and speed of work and require an assessment of complexity.

Knowledge reuse for ontology modelling and application of maintenance motion state sequence

With the current digital transformation and the development of complex manufacturing systems, advanced maintenance is proposed to improve the competitiveness of complex products, generating a large amount of heterogeneous maintenance data and information. There is a lack of standardized representations of motion-centred maintenance knowledge which leads to semantic ambiguity and poor intertranslatability. In addition, it causes subjective deviations and human resource investments in related time prediction applications. Therefore, a knowledge reuse method for ontology modelling and the application of maintenance motion state sequences is proposed. First, a framework for reusing maintenance motion state sequence (MMSS) knowledge is established, which is defined as the state sets of time-sequence maintenance motion. Second, maintenance motion state sequence ontology (MMSSO) is constructed to standardize the definition of MMSS, as a supplement to the current maintenance ontologies. Third, an MMSSO application for automatic maintenance time prediction is proposed by incorporating the standardized specifications of MMSSO and improving the MODAPTS method. Finally, using aviation equipment as an example, the rationality and superiority of MMSSO in real applications are verified. MMSSO is a new practice of integrating multi-source information in advanced maintenance. It can also provide predicted time as an iterative reference for industrial practitioners in the digital design stage.

Multifunctional aerogels with thermal insulation, elasticity, and hydrophobicity derived from hemp stems

Aerogels are commonly used in the fields of thermal insulation, sound insulation, adsorption, optical devices, and electrode materials. However, traditional aerogels suffer from poor structural stability and mechanical performance. Herein, we proposed a method in extracting fibers from hemp stems to prepare hydrophobic, thermal insulating and superelastic aerogels. The suspension of bleached hemp fibers (BHF), chitosan, and methyltrimethoxysilane (MTMS) is assembled into the network structure of aerogel by freeze-drying method. Because of the cross-linking between BHF, chitosan and MTMS, the material exhibited excellent properties. The aerogel demonstrated excellent compression performance, quickly recovering even when applied with 80 % compressive strain and maintaining 80 % of its original shape after 100 compression cycles. Furthermore, the aerogels demonstrated outstanding thermal insulation property; the thermal conductivity is only 0.01873 ± 0.0004 W/m·K. In addition, the aerogel exhibited excellent hydrophobic properties, with a water contact angle of approximately 130°. The superior properties of aerogel enable it to withstand complex external environments. In this study, we aim to provide new ideas and methods for resource reuse and the preparation of bio-based aerogels.

Application of effluent reduction methods and treatment using advanced oxidation process at leather chemicals and tanning industries

The current study set out to assess and create long-term solutions for improving environmental performance concerning water use, wastewater production, and treatment at Syntan plant (glass-lined vessel unit) and application laboratory (small-scale leather retanning. Based on evaluations and analyses, best available techniques including water gauging, pressurized vessel washing, dedication of vessels to similar production, reuse techniques, developing commercial grade intermediate products from wash water, managing cooling water and developing reuse methods of reverse osmosis reject water were applied to reduce water consumption and effluent generation in process and non-process activities. Furthermore, the reduced effluent was subjected to treat using electrochemical processes, i.e., electrocoagulation and electro-Fenton, before it was drained to outside environment. As a result of the applications, 0%–100% change was measured in various process and non-process activities, whereas, 12.8%–100% reduction was measured in effluent. Soft cooling water consumption was reduced by 46.7%. The results of treated effluent parameters were compared and found the final removal efficiencies of total dissolved solids (51.4%), total suspended solids (99.2%), chemical oxygen demand (98.5%) and electric conductivity (67.7%). It is concluded that this study can be considered as a successful model to increased water efficiency in chemical industries, Furthermore, it could serve as a building block for the incorporation of cleaner and sustainable production approach into national agenda and to overcome stern issues of high-water and energy consumption and effluent management in different industries.

A Metaheuristic Framework with Experience Reuse for Dynamic Multi-Objective Big Data Optimization

Dynamic multi-objective big data optimization problems (DMBDOPs) are challenging because of the difficulty of dealing with large-scale decision variables and continuous problem changes. In contrast to classical multi-objective optimization problems, DMBDOPs are still not intensively explored by researchers in the optimization field. At the same time, there is lacking a software framework to provide algorithmic examples to solve DMBDOPs and categorize benchmarks for relevant studies. This paper presents a metaheuristic software framework for DMBDOPs to remedy these issues. The proposed framework has a lightweight architecture and a decoupled design between modules, ensuring that the framework is easy to use and has enough flexibility to be extended and modified. Specifically, the framework now integrates four basic dynamic metaheuristic algorithms, eight test suites of different types of optimization problems, as well as some performance indicators and data visualization tools. In addition, we have proposed an experience reuse method, speeding up the algorithm’s convergence. Moreover, we have implemented parallel computing with Apache Spark to enhance computing efficiency. In the experiments, algorithms integrated into the framework are tested on the test suites for DMBDOPs on an Apache Hadoop cluster with three nodes. The experience reuse method is compared to two restart strategies for dynamic metaheuristics.

Synergistic adsorption of real phosphorus-containing domestic wastewater by in-situ growth of MgFe-layered double hydroxides co-doped with dual-functional lignosulfonate and La(OH)3 on wood-derived cellulose aerogel

Recovering and reusing of phosphorus (P) in wastewater is the optimal solution to address mineral shortages and eutrophication. Here, the layered double hydroxides (LDHs) grown on wood-derived aerogels (WAs) were prepared after screening the powdered precursors and named La/MgFe-LDH(LS)@WAs. The intricate pore structure and surface morphology of the WAs formed a fibrous network with ultra-low density, good strength and elasticity, allowing for uniform loading. The sample exhibited excellent adsorption capacity of 139.5 mg P/g at pH 4.0, and over 100.0 mg P/g within a wide pH range (3.0–8.0). Thomas and Yoon-Nelson models could effectively describe the dynamic adsorption process. Microscopic morphology and textural characteristics of the samples were characterized and molecular dynamics (MD) simulations and theoretical calculations based on density functional theory (DFT) were used to study the interaction mechanisms. The coordination bonds and weak interactions between the active component LS and La(OH)3 with phosphates were characterized using interaction region indicator (IRI) and independent gradient model based on Hirshfeld molecular density partitioning (IGMH) methods. The atomic δg index mapped to the molecular structure vividly illustrated the maximum contribution of hydroxyl hydrogen to phosphate deprotonation oxygen in inter-fragment interactions on LS. Combining the formation of Me-O-P bonds characterized by X-ray photoelectron spectroscopy (XPS), the mechanism involves weak interactions (hydrogen bond) and chemical adsorption via ligand exchange. High removal efficiency was demonstrated in real wastewater. A method for waste reuse was also proposed. Plant cultivation experiments showed that La/MgFe-LDH(LS)@WAs could sustain wheat growth with slowly degrade and maintain high phosphate availability. The composite shows potential for water restoration, waste treatment, and value-added conversion in the production of controlled-release fertilizers.

Electrodeposition of cellulose nanofibers as an efficient dehydration method

Dehydration of a cellulose nanofiber (CNF)/water dispersion requires large amounts of energy and time due to the high hydrophilicities and high specific surface areas of the CNFs. Various dehydration methods have been proposed for CNF/water dispersions; however, an efficient dehydration method for individually dispersed CNFs is needed. Here, electrodeposition of CNFs was evaluated as a dehydration method. Electrodeposition at a DC voltage of 10 V on a 0.2 wt% CNF/water dispersion resulted in a concentration of ∼1.58 wt% in 1 h. The dehydration energy efficiency was ∼300 times greater than that of dehydration by evaporation. The concentrated CNF hydrogels recovered after electrodeposition were redispersed with a simple neutralization process, and clear transparent films were obtained by drying after redispersion. This work provides a new method for dehydration and reuse of individually dispersed CNF/water dispersions and provides new insights into control of the hierarchical structures of CNFs by electrodeposition.

The application of improved densenet algorithm in accurate image recognition

Image recognition technology belongs to an important research field of artificial intelligence. In order to enhance the application value of image recognition technology in the field of computer vision and improve the technical dilemma of image recognition, the research improves the feature reuse method of dense convolutional network. Based on gradient quantization, traditional parallel algorithms have been improved. This improvement allows for independent parameter updates layer by layer, reducing communication time and data volume. The introduction of quantization error reduces the impact of gradient loss on model convergence. The test results show that the improvement strategy designed by the research improves the model parameter efficiency while ensuring the recognition effect. Narrowing the learning rate is conducive to refining the updating granularity of model parameters, and deepening the number of network layers can effectively improve the final recognition accuracy and convergence effect of the model. It is better than the existing state-of-the-art image recognition models, visual geometry group and EfficientNet. The parallel acceleration algorithm, which is improved by the gradient quantization, performs better than the traditional synchronous data parallel algorithm, and the improvement of the acceleration ratio is obvious. Compared with the traditional synchronous data parallel algorithm and stale synchronous parallel algorithm, the optimized parallel acceleration algorithm of the study ensures the image data training speed and solves the bottleneck problem of communication data. The model designed by the research improves the accuracy and training speed of image recognition technology and expands the use of image recognition technology in the field of computer vision.Please confirm the affiliation details of [1] is correct.The relevant detailed information in reference [1] has been confirmed to be correct.