Application Of Process Research Articles

Exploring ultrasonic and resistance welding for thermoplastic composite structures: Process development and application potential

Thermoplastic composites outperform in aerospace applications compared to thermoset composites due to their weldability, a key advantage. This feature streamlines manufacturing, allowing for precise assembly of complex shapes, reducing costs, and accelerating production. Additionally, it simplifies maintenance, enabling easy repair or replacement of damaged parts, thereby extending vehicle lifespan and minimizing downtime. With exceptional strength-to-weight ratio and resistance to corrosion and fatigue, weldable thermoplastic composites ensure reliable performance in the demanding aerospace environment. Overall, their weldability enhances efficiency, versatility, and safety in aerospace applications. This paper first presents an overview of various welding processes and discusses the special challenges of assembly processes in the aviation industry. This work then focuses from the authors’ perspective with regard to industrializability on the two most promising processes, resistance and ultrasonic welding.

Isolation of marine-derived filamentous fungi and their potential application for bioremediation process.

We evaluated the bioremediation potential of petroleum-derived compounds using fungal strains isolated from marine samples collected on the coast of the states of Paraná, Brazil. About 75 isolated filamentous fungi were subjected to assays including decolorization of the synthetic dye Remazol Brilliant Blue R (RBBR), tolerance to diesel oil, production of bioemulsifying and degradation of pyrene. Nine isolates could decolorize RBBR between 3.4% and 88.16%. Ten were able to tolerate diesel oil and/or pyrene. One isolate was able to produce compounds with emulsifying properties. Three strains, Trichoderma sp. FM14 (Penicillium spp. FM02 and FM16, and FM14) were able to degrade pyrene between 33.0 and 42.4%, after 8 days. The results of the present work encourage future studies to optimize enzymatic conditions using isolates with biotechnological potential in bioremediation studies of marine environments contaminated with industrial pollutants including hydrocarbons derived from petroleum such as diesel oil and PAHs and synthetic dyes.

Batch process soft sensing based on data-stacking multiscale adaptive graph neural network

Abstract Soft sensing technology has found extensive application in predicting key quality variables in batch processes. However, its application in batch process is limited by the uneven batch length, the correlation of data and the difficulty in extracting the dependencies between variables and within variables. To address these issues, we propose a data-stacking multiscale adaptive graph neural network (DSMAGNN) soft sensor model. Firstly, Mutual information (MI) is used to selected quality-related variables, the 3D batch data is converted into a time-delay sequence suitable for input to the soft sensor model through the data stacking strategy, and the underlying time correlation at different time scales is preserved by incorporating the multi-scale pyramid network. Secondly, the dependencies between variables are inferred by the adaptive graph learning module, while the dependencies both within and between variables are modeled by the multi-scale temporal graph neural network. Thirdly, collaborative work across different time scales is further facilitated by the scale fusion module. Finally, the feasibility and effectiveness of the model are verified through experiments in the industrial-scale penicillin fermentation process and hot rolling process. (DSMAGNN) soft sensor model. Firstly, MI is used to selected quality-related variables, and the data stacking strategy is employed to convert 3D batch data into a time-delay sequence suitable for input to the soft sensor model. A multiscale pyramid network is utilized to preserve the underlying time dependence across different time scales. Secondly, since the dependence relationship between variables may vary across different time scales, the adaptive graph learning modules deduce scale-specific variable dependencies without relying on predefined priors. Thirdly, given the multiscale feature representation and the inferred dependency relationships between scale-specific variables, we introduce a multiscale temporal graph neural network to jointly model dependencies within and between variables. Building upon this foundation, the scale fusion module is deployed to facilitate collaboration across different temporal scales and automatically capture the significance of contributing temporal patterns. We validate the feasibility and effectiveness of the proposed model through experiments conducted in industrial-scale penicillin fermentation and hot continuous rolling processes, the results show that the proposed model is superior to several compared models, thus confirming its validity.

Penerapan Model Rational Unified Process (RUP) Dalam Membangun Aplikasi Promosi dan Penjualan Berbasis Web (Studi Kasus: Toko Mie Ayam “Neng Kene Kiyeh”)

This research discusses the application of the Rational Unified Process (RUP) Model in thedevelopment of web-based promotion and sales applications, with a case study at the Chicken Noodle Shop“Neng Kene Kiyeh”. The purpose of this research is to design and implement applications that can increasethe efficiency of promotion and sales of chicken noodle products through digital platforms. The RUPmethod was chosen because of its iterative approach and focus on user needs, allowing for more structuredand controlled software development. The RUP model consists of four main phases: inception, elaboration,construction, and transition. In the inception phase, a needs identification and feasibility study are conductedto ensure that the application to be developed matches the business needs of the store. The elaboration phaseinvolves more in-depth analysis and system design, including use case modeling, risk analysis, andapplication architecture design. In the construction phase, application development is carried out with aniterative approach, allowing for improvements and adjustments based on user feedback. The transitionphase involves application testing and end-user training, as well as full system implementation. The result ofthis research is a web application that has main features such as product catalog, online ordering system, inventory management, and integrated digital promotion. The implementation of this application is expectedto increase the visibility of Chicken Noodle Shop “Neng Kene Kiyeh” in the digital market, simplify theordering process for customers, and increase sales. The trial shows that this application can function asexpected, and provides significant benefits in the store's operational processes. The conclusion of thisresearch is that the application of the RUP model can be an effective approach in building web-basedpromotional and sales applications, with a focus on meeting user needs and improving businessperformance.

Optimalisasi Operasional Layanan dan Integrasi Sistem pada Arsitektur Perusahaan PT X melalui Penerapan TOGAF ADM

This research discusses the application of the TOGAF ADM method in modelling X Ltd,which operates in the field of printing and book publishing services. X Ltd facesoperational challenges that are still manual and not fully integrated with the system sothat the service operational process becomes ineffective in terms of time. This researchaims to design an integrated architecture, including business process architecture,application and data architecture, and technology architecture. The research method usesa qualitative approach by conducting interviews with two sources from X Ltd to analyzecurrent operations. The results show that TOGAF ADM can help X Ltd Optimizes itsoperational system, accelerates data management, publishing books, and improvingcustomer service, and facilitating adaptation to changes through new system architecturemodelling.

Why Do Peasants Fight Rebels? The Cases of Civilian Defence Forces Against the FARC in Southern Tolima, Colombia

ABSTRACT Why do civilians engage in Civilian Defence Forces (CDFs) to confront insurgents if it is more dangerous than pacific resistance? This paper addresses two cases of peasant-centric CDFs in southern Tolima, Colombia. Based on secondary sources and interviews, a rich historical account of the CDFs is presented, allowing the application of process tracing for analysis. A framework to explain CDFs, recognising the interweaving of local security dilemmas and the macro-cleavage of the civil war, is proposed. Three determinants were found: previous participation of civilians in organised violence, legitimation of violent responses and the cooptation of community conflict resolution institutions.

Implementation of an Upflow Fixed Bed Bioreactor for Denitrification Coupled to Methane Oxidation: Performance and Biomass Development Under Anoxic Conditions

Denitrification coupled to methane oxidation (DOM) has been shown to be an appropriate process for wastewater treatment applications, since it can reduce greenhouse gas emissions and nitrogen discharges, making wastewater treatment plants more environmentally sustainable. Study of DOM has focused on laboratory-scale application using membrane biological reactors (MBR) or sequency batch reactors (SBR), which have been shown to be able to retain DOM biomass and therefore appropriate for use with this process. However, it is necessary to expand knowledge of the behavior of this process using other configurations, with a view to scaling up. Therefore, in this study, an upflow fixed bed bioreactor (UFBR) was implemented using plastic carriers such as bioballs and Biochips® to carry out the DOM process under anoxic conditions. The reactor reached stable nitrogen removal conditions after approximately 400 days of continuous operation, forming a biomass composed of denitrifying methane-oxidizing microorganisms where the genus Anaerolinea and Methylocystis predominated. Once the biomass was formed and the DOM process was stabilized, maximum nitrite and nitrate removal rates of 17.6 mgN-NO2−/L-d and 8.9 mgN-NO3−/L-d, respectively, and a removal efficiency of methane up to 77% were obtained. This demonstrates the feasibility of the application of the DOM process under anoxic conditions using fixed bed bioreactors, which is promising for further nitrogen removal from wastewater using a varied reactor configuration easily to scaled-up.

Application of the Analytical Hierarchy Process for Autonomous Truck Strategies of Commercial Vehicles

Application of the Analytical Hierarchy Process for Autonomous Truck Strategies of Commercial Vehicles

Mathematical modelling, energy consumption, and quality evaluation of wheat seeds subjected to intermittent drying

AbstractThis work aims to evaluate the kinetic profile of intermittent drying of wheat seeds using traditional models from the literature and the fractional calculus technique. Furthermore, it aims to verify the application of the intermittent drying process on the amount of antioxidant compounds, protein, and lipid content of the grain, in addition to energy consumption to obtain the desired final moisture content of the wheat. It was verified that the prediction of drying kinetics by Page and fraction order models were similar (modelling efficiency varying between the range of 0.917–0.995, varying the drying condition and wheat cultivar). Regarding antioxidant compounds for the three wheat cultivars, it can be seen that the higher fraction of ethanol (74.0% and 90.36%) used for extraction had greater process efficiency. Regarding the protein content in the three wheat cultivars, lower drying temperatures and intermittency periods result in lower quality losses of material (12.3% for BRS‐Atobá wheat, 9.89% for BRS‐Jacana wheat, and 18.71% for BRS‐Sanhaço wheat). In terms of lipids, it was found that the influence of temperature was greater on the lipid content than on the protein content of the material (for the best drying condition, there were percentage decreases for the best condition of 36.16% for the BRS‐Atobá wheat, 34.9% for BRS‐Jacana, and 52.2% for BRS‐Sanhaço). Regarding energy consumption during the drying process, it can be seen that the conditions used for intermittency and drying time, in addition to the sample conditions, directly impact energy consumption.

Application of Analytical Hierarchy Process (AHP) and Multi-Criteria Evaluation (MCE) for a case study and scenario assessment of flood risk in the White Volta Basin of the Upper East Region, Ghana

In recent years, Ghana, particularly the inhabitants of the Upper East Region, has experienced profound impact of flooding, largely attributable to the complex interplay of climatic factors. This research embarks on a comprehensive assessment of flood risk zones nestled within the White Volta Basin, situated in the Upper East Region. The study employs advanced cartographic methodologies and uses Geographic Information Systems (GIS) in conjunction with the Analytical Hierarchy Process (AHP) to systematically categorize areas susceptible to inundation. Leveraging geospatial datasets acquired from satellites such as Landsat and Sentinel. Topographic, slope, and Land Use/Land Cover (LULC) maps have been constructed. The empirical findings underscore the susceptibility of specific regions, including the Talensi District, territories within Bawku West, and some segments of the Bolgatanga Municipal area, to escalated flood risk. Additionally, the research underscores the high vulnerability of communities such as Nunku, Tolla, Zaare, Pwalugu, Balungu, Winkongo, Biung, and Tongo to the negative impact of inundation. Significantly, the study unveils a pivotal factor in the perpetuation of flood devastation—namely, the role of water discharge. This intrinsic linkage between discharge rates and flood occurrences underscores the pressing need to address this critical component in mitigation strategies to reduce adverse impacts on the basin’s resident communities. The insights derived from the study offer some level of hope for residents, providing essential knowledge concerning flood-prone areas and optimal timing for agricultural activities to safeguard their cherished livelihoods.

Biological two-stage treatment technology for mitigating mining-related heavy metal pollution in Georgian rivers

ObjectivesThe study aimed to investigate heavy metal contamination (copper, arsenic, manganese) in Georgian rivers affected by mining and develop a two-stage water purification technology using Spirulina (Arthrospira platensis) and trehalose lipid (TRL). This technology offers a sustainable and efficient solution to mitigate environmental and health hazards from mining-related pollution, improving river ecosystems and public health.Data DescriptionThis study examines the current state of the Kvirila, Lukhuni, Kazretula, and Mashavera rivers in terms of heavy metal pollution. Data were collected from field application of a two-stage purification process. Initial assessments showed heavy metal concentrations exceeding local regulatory limits (საქართველოს საკანონმდებლო მაცნე. გარემოსდაცვითი ტექნიკური რეგლამენტების დამტკიცების თაობაზე. Environmental Technical Regulations Approval. www.matsne.gov.ge/en/document/view/2196792?publication=0&scroll=0. Accessed 22 Aug 2024.). The purification process involved a 72-h incubation in a primary tank, followed by membrane filtration and the addition of biomass with trehalose lipid (TRL) in a secondary tank. Post-treatment data revealed significant reductions in manganese and copper concentrations, bringing them below permissible thresholds. These data highlight the effectiveness of the two-stage purification technology in removing heavy metal contaminants from water sources impacted by industrial pollution. The findings demonstrate the potential of this technology to improve sustainable water management practices and provide scalable solutions for communities facing similar water quality challenges.

Optimization of the Homogenization Process of Ginseng Superfine Powder to Improve Its Powder Characteristics and Bioavailability.

As consumer demands evolve for health supplements, traditional ginseng products are facing challenges in enhancing their powder characteristics and bioavailability. The objective of this study was to prepare a novel ginseng superfine powder using a high-pressure homogenization (HPH) process. Response surface methodology was employed to determine the effects of HPH parameters (pressure, number of passes, and concentration) on particle size and the dissolution of the saponin components of the superfine powders. The Box-Behnken design of experiments was applied to ascertain the optimal HPH parameters for the smallest particle size and the highest dissolution of the saponin components. For the powders obtained at different parameters, the characterization of tap density, bulk density, flowability, water-holding capacity, appearance, and taste were observed. The optimized experimental conditions for the HPH process were as follows: 15,000 psi (pressure), 3 (number of passes), and 1 kg/L (concentration). The optimized values were 55 μm (particle size) and 83 mg/g (dissolution of the saponin components), respectively. The method offered technical support for the application of the HPH process in the preparation of ginseng powders. The objects of this research could be broadened to include a diverse array of botanical materials, addressing contemporary demands for cost-effectiveness and sustainability within the industry.

Assessment of Land Suitability in Perennial Crops using FAHP and GIS in Central Vietnam

Background: Perennial crops including rubber and Thanh Tra grapefruit are highly effective land use that has occupied a large area (nearly 11,000 ha) in Thua Thien Hue province, Central Vietnam. Analyzing land suitability in agricultural production is one of the important tools for determining the effective use of land resources and sustainable development. This study aims to evaluate the land suitability of perennial crops in Phong Dien district, Thua Thien Hue province, Central Vietnam. Methods: The study was conducted in different communes in Phong Dien district, Thua Thien Hue province, Central Vietnam from 2022 to 2023 by collecting secondary and primary data together with soil samples from 45 profiles for analysis and finally application of the fuzzy multi-criteria analysis process (FAHP) tool and geographic information system method (GIS) to evaluate the land suitability. Result: The results indicated that economic criteria played the most important role with weights from 0.068 to 0.343, followed by the social criteria (weights from 0.014 to 0.147) and the environmental criteria (weights from 0.011 to 0.051). With land suitability evaluation, the very high suitability area of rubber and Thanh Tra grapefruit (S1) was 3,144.14 ha and 3,742.29 ha respectively. The FAHP and GIS integrated method is a useful method to assess land suitability for land use of perennial crops based on appropriate assessment of FAO land use requirements.

Bearing remaining life prediction method based on ARAD -ELN and multi-stage wiener process

Abstract Stochastic process-based models are extensively utilized in health assessments and Remaining Useful Life (RUL) predictions of bearings. Nevertheless, bearings in actual operation undergo multiple degradation stages, each characterized by its unique trend of degradation. The application of a singular stochastic process for RUL prediction falls short of achieving optimal performance. Consequently, this paper introduces a multi-stage Wiener process-based approach for the prediction of bearings' RUL. Initially, to tackle the challenge of imbalanced sample sizes across different degradation stages of bearings, an ensemble learning-based neural network (ELN) enhanced by ARIMA Residual Anomaly Detection (ARAD) for the identification of bearing degradation stages is proposed. Subsequently, taking into account the temporal, unit-to-unit, and nonlinear variabilities of the degradation process at each stage, a Wiener process-based multi-stage degradation model for bearings is developed. A method for parameter estimation and updating, utilizing Kalman filtering and Maximum Likelihood Estimation (K-M) is introduced. Finally, the proposed model undergoes validation using both simulated data and the XJTU-SY bearing dataset. Experimental results of three RUL predictions show that the proposed method leads the benchmark model with RMSE values of 3.61, 2.92 and 7.24 respectively, affirming that the proposed model can precisely classify equipment degradation stages and predict RUL with high accuracy and stability.

A Comprehensive Web-Based Application for Digital Book-Keeping, Payment Process, and Secure Peer-to-Peer Transaction

A Comprehensive Web-Based Application for Digital Book-Keeping, Payment Process, and Secure Peer-to-Peer Transaction

Interdisciplinary STEM education foundational concepts: Implementation for knowledge creation

Interdisciplinary thinking is essential to understanding and solving real-life problems and requires multiple disciplinary viewpoints. Research into STEM education highlights that it promotes an interdisciplinary learning process integrating science, mathematics, engineering, and mathematics knowledge and skills. However, STEM definitions are varied, and implementation recommendations are scant, resulting in diversity in the development and implementation of the learning process. This study critically analyses the literature to determine the fundamental concepts of STEM education and STEM discipline integration. Our analysis discovers six key components of STEM education, encompassing the integration of discipline, utilization of multiple representations, engagement with realistic and relevant problems, application of the engineering design process, encouragement of active collaboration, and emphasis on student-centered learning approaches. Then, we transform these key components to a practical learning process. The STEM-DTaM (STEM with Design Thinking and Makerspace) learning model consists of seven steps. We then unfold how this proposed learning could facilitate interdisciplinary thinking construction.

Development of zeolite 5A-incorporated polyvinyl alcohol membrane for desalination by pervaporation

Abstract With the rapid depletion of potable and useable water resources globally due to population growth and the effects of global warming, the desalination of seawater – the world’s largest source of water – to acceptable quality levels is critical to meeting future water needs. This study investigates the use of zeolite 5A-incorporated polyvinyl alcohol membranes to produce fresh water from seawater for industrial and domestic use and evaluates the application of the pervaporation process on the separation performance. Polyvinyl alcohol and polyvinyl alcohol/zeolite 5A mixed matrix membranes were prepared by solution-casting technique, and their morphological, structural, and mechanical properties were analyzed by field emission scanning electron microscopy, thermogravimetric analysis, Fourier transform infrared spectroscopy, and tensile strength tests. The swelling behavior and pervaporation performance of the membranes were investigated at different temperatures (30, 45, and 60 °C) using synthetic seawater containing 35 g L−1 NaCl, and membrane–solvent interactions were determined using data from sorption experiments. The membrane produced water flux and salt rejection values at 60 °C of 5.82 kg m−2 h−1 and >99.9 %, respectively.

Research on the Application of Slant Hole Grouting Process in the Undermining Hollow Area of Urban Main Road

China has a huge number of underground goaf, when the new city main road crosses the goaf, a large number of non-migratable buildings may be left on the ground due to economic problems, resulting in the goaf does not have the condition of vertical drilling and grouting, so the slant hole grouting technology is of great significance in research. In this paper, we take a city main road under construction in Changchun City as an example to study the application of slant hole drilling grouting in the hollow area, and hope that it can provide reference examples for similar projects.

Industrial picosecond pulse laser welding of stainless-steel to quartz for optical applications

We report on the development of a robust picosecond laser welding process for the industrially relevant material combination of quartz and stainless steel. The process requires high numerical aperture focusing of a 6 ps 1030 nm laser through the transparent quartz onto the interface between the two materials. It is found that increased mechanical pressure applied during welding increases reliability and weld performance and with the correct choice of welding parameters parts will survive ISO standard thermal cycling and vibration testing demonstrating the suitability of the process for industrial application.

Potential Utilization of Rice Waste in the Construction Sector: A Multi-Criteria Decision Analysis Approach

Effective management of agricultural waste is an important contribution to environmental sustainability and economic development, especially considering the significant volume of agricultural residues produced worldwide. Rice is a widely cultivated crop in Colombia, and its high production results in a high amount of wastes, which is often underutilized due to a lack of knowledge regarding its potential value-added applications. On the other hand, the construction industry has become increasingly aware of the necessity to develop materials with reduced environmental impact. Therefore, this study explores the application of the Analytic Hierarchy Process (AHP) to evaluate various alternatives for utilizing rice waste in construction materials; the alternatives were evaluated based on criteria tailored to the needs of local agricultural communities in the Tolima region of Colombia. The findings highlight the potential of rice husk ash (RHA) as an environmentally responsible alternative in the construction sector, offering a viable solution for waste management while contributing to the economic development of small-scale farmers.