Development Of Processing Technology Research Articles

Calibration of discrete meta-parameters of bamboo flour based on magnitude analysis and BP neural network.

In the research and development of technology and equipment for bamboo products deep processing, such as filling, drying, and medicinal use of bamboo flour (BF), the poor compaction and fluidity of BF materials entails the need for accurate discrete element model (DEM) and BF parameters to provide a reference for the simulation of BF processing operationsand the development of related equipment. The average particle size of the 5 types of BFs ranges from 0.136 mm to 0.293 mm, and the small particle size of BF particles causes to the number of BF particles in bamboo processing equipment to reach tens of millions or even billions. When conventional methods are used for simulation, ordinary computers cannot provide the required computing power. To address the aforementioned challenges, this paper proposes a calibration method for the discrete element contact parameters of BFs based on dimensional analysis and a back propagation (BP) neural network. Using particle scaling theory and dimensional analysis methods, the average particle size of the BF was increased to 1 mm, and the main discrete element contact parameters of the five types of BF to be tested were used as input layers. The injection method and sidewall collapse method were used to obtain the angle of repose (AR) as the output layer. Fifty groups were randomly selected using MATLAB for EDEM simulation, and the simulation results were trained using the BP neural network algorithm; an ideal neural network model was obtained, the discrete element parameters of different BFs were predicted, and physical experiments were performed to verify two types of AR and mold hole compression under calibrated parameters. The relative error between the simulated AR obtained through calibration parameters and the physical experimental values is less than 2.3%. Through BF parameter validity verification, the simulated maximum compression displacement and compression ratio after stabilization were 34.81 mm and 0.477, which were close to the actual experimental results of 34.77 mm and 0.461, respectively, verifying the accuracy of the neural network prediction model. The research results provide a reference for the simulation of BF processing operations and the development of related equipment.

Current Status of Green Hydrogen Production Technology: A Review

As a clean energy source, hydrogen not only helps to reduce the use of fossil fuels but also promotes the transformation of energy structure and sustainable development. This paper firstly introduces the development status of green hydrogen at home and abroad and then focuses on several advanced green hydrogen production technologies. Then, the advantages and shortcomings of different green hydrogen production technologies are compared. Among them, the future source of hydrogen tends to be electrolysis water hydrogen production. Finally, the challenges and application prospects of the development process of green hydrogen technology are discussed, and green hydrogen is expected to become an important part of realizing sustainable global energy development.

Naked-eye light field display technology based on mini/micro light emitting diode panels: a systematic review and meta-analysis

The light field display technology based on panel light modulation has obvious industrial advantages. However, light field displays still causes discomfort for users in practical applications, due to issues such as angle of view, number of viewpoints, and crosstalk, etc. As a new type of high performance 2D display technology, mini/micro light emitting diode (MLED) has the potential to provide higher quality 3D display effects, but it may also bring new technological challenges. This paper provides a detailed investigation of technical principles and the latest research progress in light field display technology based on panel light modulation, and analyzes the industrial and academic research difficulties, which are brought about by the combination of MLED and naked-eye light field display. This paper is the first to complete a technical review specifically focused on MLED and naked-eye light field display, which is expected to accelerate the technological development and application process of naked-eye light field display based on MLED panels.

Hydrophobic surface texture air-liquid phase composite assisted laser processing and tribological properties

In order to improve the surface hydrophobicity and tribological properties of 304 stainless steel, this study used laser processing technology to prepare three types of surface textures (CSA, CM2, CM5) in an air and air–liquid composite environment. By testing the surface quality, wettability and tribological properties of the texture, it was found that the surface quality and interfacial friction control ability of CSA were poor due to the influence of the processing environment. However, due to the air–liquid composite assisted laser preparation, while using the air medium laser processing technology to ensure the texture depth, the scattering effect of bubbles and the influence of negative pressure on the solid–liquid interface during the liquid phase assisted laser processing remove the oxide recast layer and burr on the surface of the sample, and improve the surface quality of the texture, thereby improving the surface friction behavior of the sample. This study promotes the development of surface texture laser processing technology and broadens the application field of 304 stainless steel.

Evolution and future directions of Artificial Intelligence Generated Content (AIGC): A comprehensive review

Artificial Intelligence Generated Content (AIGC) has rapidly evolved, revolutionizing the creation of text, images, audio, and video content. Despite these advancements, research on the development process of AIGC technology remains scarce, necessitating a systematic discussion of its current state and future directions. So this paper delves into the significant advancements and foundational technologies driving AIGC, emphasizing the contributions of state-of-the-art models such as DALL-E 3 [1] and Sora [2]. We analyze the evolution of generative models from single-modal approaches to the current multimodal generative models. The paper further explores the application prospects of AIGC across various domains such as office work, art, education, and film, while addressing the existing limitations and challenges in the field. We propose potential improvement directions, including more efficient model architectures and enhanced multimodal capabilities. Emphasis is placed on the environmental impact of AIGC technologies and the need for sustainable practices. Our comprehensive review aims to provide researchers and professionals with a deeper understanding of AIGC, inspiring further exploration and innovation in this transformative domain.

A comprehensive review of the application of NLP technology in language learning

The rapid development of Natural Language Processing (NLP) technology has provided new perspectives and tools for the acquisition of second languages. As our world becomes increasingly interconnected, the role of NLP in facilitating language learning has become more prominent. This paper reviews the multifaceted applications of NLP technology in language learning, including auxiliary teaching functions such as reading assistance, writing feedback, oral interaction, and personalized learning. These applications have significantly enhanced language learners' abilities in vocabulary acquisition, grammatical application, pronunciation accuracy, and reading comprehension through real-time feedback, enhanced interactivity, and promotion of cultural understanding. Despite the immense potential of NLP technology in second language learning, challenges such as technical accuracy, cultural adaptability, and data privacy exist. This paper proposes strategies, such as ensuring technical accuracy, curating diverse datasets and safeguarding data privacy to address these challenges. Looking forward, the future development of NLP technology in second language education holds great promise. As NLP continues to evolve, it is expected to contribute to more personalized, effective, and accessible language learning solutions. This paper aims to provide valuable references and insights for educators, technology developers, and policymakers, enabling them to harness the transformative potential of NLP in language education and to navigate the future of educational technology with confidence and foresight.

Multi-Scale Feature Attention Fusion for Image Splicing Forgery Detection

Image splicing is a widely occurrence image tampering technology. With the rapid development of digital image processing technology, detecting image splicing forgery has become significantly challenging. Although various methods have been devised to identify such tampered images, existing approaches have not achieved optimal performance due to limitations in effectively leveraging feature maps of different scales. To address this issue, we propose a novel method for image splicing forgery detection called multi-scale feature attention fusion network (MFAF-Net). We propose a multi-scale atrous feature attention (MAFA) module designed to capture rich contextual features for multi-scale high-level feature fusion. Additionally, we present the multi-branch attention mechanism (MBAM) module to fuse contextual information from various branches for low-level features. This integration enhances the capability of low-level features to produce more refined pixel-level attention. We employ the weighted binary cross-entropy loss and dice loss in the MFAF-Net to overcome the imbalance between positive and negative samples. Extensive experiments demonstrate that the proposed MFAF-Net outperforms state-of-the-art methods. Robustness experiments also show our model exhibits image splicing forgery detection robustness under common attacks.

Behavioral and toxicological impacts of bio-derived oils in aqueous spills

There is an increasing global demand for, and transportation of, goods classified as Hazardous and Noxious Substances (HNS), including bio-derived oils and chemicals. With the increasing variety of bio-feedstocks and the development of processing technologies, the physical and chemical properties of commercially available and transported bio-derived oils vary significantly. The objective of this work was to analyze and compare the physical and chemical characteristics, behaviour, and risks of several bio-derived oils (four vegetable oils, one biodiesel, and two pyrolysis oils) and one petrol diesel when spilled into both fresh and salt water system. The laboratory results indicated that the vegetable oils and biodiesel remained buoyant and resulted in low total organic carbon (TOC) in water when spilled, similar behaviour to petrol diesel. However, the two pyrolysis oils exhibited remarkably different behaviours. The two oils sunk directly in the water and then rapidly dissolved the organic components into the water when mixed. This resulted in a high TOC (100 times higher than other types of oil) and an altered water chemistry, leaving a large portion of water-insoluble portion (35.0 wt% of pyrolysis oils) remaining at the water bottom. Initial Microtox findings indicated that water samples contaminated with pyrolysis oils and biodiesel (similar to petrol diesel) exhibited increased aqueous toxicity towards Vibrio fischeri. Further biological tests are required to understand their ecological risks. This work provides insights to the challenges and knowledge gaps on the fate, behaviour and risk of emerging bio-derived oils in water, while supporting HNS emergency response and remediation measures.

Abstract Cyclic Functional Relation and Taxonomies of Cyclic Signals Mathematical Models: Construction, Definitions and Properties

This work is devoted to the procedure of the construction of an abstract cyclic functional relation, which summarizes and extends the known results for a cyclically correlated random process and a cyclic (cyclically distributed) random process to the case of arbitrary cyclic functional relations. Two alternative definitions of the abstract cyclic functional relation are given, and the fundamental properties of its cyclic and phase structures are presented. The theorem on the invariance of cyclicity attributes of an abstract cyclic functional relation to shifts of its argument, and which are determined by the rhythm function of this functional relation, is formulated and proved. This theorem gives the sufficient and necessary conditions that the rhythm function of an abstract cyclic functional relation must satisfy. By specifying the range of values and attributes of the cyclicity of an abstract cyclic functional relation, the definitions of important classes of cyclic functional relations are formulated. A deductive approach to building a wide system of taxonomies of classes of deterministic, stochastic, fuzzy and interval cyclic functional relations as potential mathematical models of cyclic signals is demonstrated. A comparative analysis of an abstract cyclic functional relation with the known mathematical models of cyclic signals was carried out. The results obtained in the article significantly expand and systematize the mathematical tools of the description of cyclic signals and are the basis for the development of effective model-based technologies for processing and computer simulation of signals with a cyclic space-time structure.

Construction of the technological process and design development of a multifunctional unit for processing vital soybeans with ultrasound. Feasibility of water-crude suspension

Cereals and legumes have a porous structure, being an inert carrier during mass exchange processes; they contain voids in the form of pores and stomata, on the surface of which there are foreign extractable substances in a solid state, in particular, trypsin and urease inhibitor proteins. These substances, due to their harmful effect on the final product, are subject to removal by extraction. One of the methods for inactivating anti-nutritional substances is ultrasonic treatment of soybeans.The article discusses the technology of inactivating inhibitors that worsen food and protein value of vital soybeans. The developed technology was aimed at dissolving a solid substance - soybean inhibitor protein in a liquid, carried out due to molecular diffusion, intensifying the processes of mass transfer and mass return. When creating a suspension by mixing the solid (crushed soybean grain) and liquid (water) phases, water molecules, which are a solvent, penetrate under the action of capillary forces into the pores and stomata of the treated body, begin to penetrate. On this basis, technological directions of research have been established, a sequence has been built and the physical essence of operations has been substantiated, consisting of four main ones - grinding soybean grain, creating a “water-soybean” suspension, ultrasonic (US) treatment of soybeans, drying. As a result of the conducted research, optimal technological parameters have been established for intensifying the process of inactivation of anti-nutritional substances contained in native soybeans: the degree of grinding of soybean grains is 0.5-1.0 mm; the ratio of water-soy suspension (1:1). The efficiency of the developed technological process will be factors affecting the quality of the resulting products, the duration and energy intensity of the process, resource conservation, simplicity of design and low cost of manufacture, the possibility of automation.

COMPUTER SIMULATION OF THE STRESS-STRAIN STATE OF BAR BLANKS MADE OF ALLOY 7075

The article presents a study of the characteristics and technological parameters of bar blanks made of aluminum alloy 7075, depending on the temperature and the forming process. The main goal is to determine the stress-strain state at various temperatures during the production of blanks, which contributes to understanding the mechanism of formation of the structure and properties of bar blanks. To do this, a computer simulation of the process based on the finite element method is used, using the Forge3D software environment. The results obtained confirm the uneven structure in the volume of workpieces, with a pronounced intensity of deformation in the surface layers. The formation of workpieces at different temperatures (200 and 250 °C) showed differences in stress intensity and strain rate, which is important for understanding the processes of formation of microstructure and material properties. Special attention is paid to the influence of temperature on the formation of stresses in the rods, as well as their distribution in thickness and length. The results obtained can be used to optimize the technological parameters of the aluminum alloy forming process in order to improve the quality of the final product and production efficiency. In general, the scientific conclusions of this study contribute to the further development of aluminum alloy processing technologies and their application in various industries. Keywords: computer modeling, finite element method, numerical model, processing technology, Forge3D, deformation characteristics, microstructure formation process.

Model Proposal for Evaluation of Technology Development Process: Conceptualisation and Scale Development

Model Proposal for Evaluation of Technology Development Process: Conceptualisation and Scale Development

ФОРМАЛИЗАЦИЯ ПРИПУСКА, УДАЛЯЕМОГО ПРИ ОБРАБОТКЕ РЕЗАНИЕМ, ДЛЯ РЕШЕНИЯ ЗАДАЧИ АВТОМАТИЗАЦИИ РАЗРАБОТКИ ТЕХНОЛОГИЧЕСКОГО ПРОЦЕССА

The paper considers the problem of lacking systems for automating the production preparation while developing the technological process of manufacturing parts by cutting. The solution to this problem will increase enterprises’ competitiveness and reduce errors arising from the human factor. The objectives of the article are to develop an approach to automating the technological process design by defining the technological process as a function of removing the allowance. The work analyses the allowance and determines the principle of its decomposition into elementary components for classification, identifies the allowance parameters for its formalization and determines the relationship of the allowance parameters with processing methods. The authors carry out the analysis of the existing processing methods and their relationship with the removable allowance, its geometric shape and parameters, propose an approach for the allowance formalization, the implementation of which will automate the technological preparation of production in terms of developing technological processes for mechanical processing. The work suggests an approach for formalizing the allowance, based on its classification and application as its basic element of “allowance removed by the cutting tool in one working stroke”, describes additional properties and characteristics of the allowance for its mathematical description and preservation of the relationship with the processing methods. Formalization of the allowance, its classification and assignment of the function for its removal will allow automating the technological process development, improving the quality of manufactured products by reducing the influence of the human factor and using optimal methods for processing parts.

Effect of α-tocopherol on the oil absorption of French fries based on physicochemical characteristics of frying oil and the morphology of French fries

With the development of oil processing technology, the retention rate of lipid concomitants in oil has increased. The effect of lipid concomitants on the physicochemical characteristics of oil has garnered significant interest; however, the effect of the lipid concomitant α-tocopherol on the physicochemical properties of rice bran oil (RBO) and the oil absorbency of French fries during frying is unclear. Thus, the influence of α-tocopherol on total polar compounds, diacylglycerols content, and viscosity of frying oil as well as oil content and distribution, moisture content, micromorphology, and quality of French fries is studied. The results revealed that RBO with 0%–0.1% α-tocopherol dose-dependently decreased the total polar compounds, diacylglycerols content, and the viscosity of RBO. This primarily affected the adsorption of surface and structural oils in the French fries. Additionally, RBO with 0%–0.1% α-tocopherol decreased the porous structure of the French fries. Compared with other α-tocopherol levels, RBO supplemented with 0.1% α-tocopherol demonstrated a better effect on reducing the oil absorption in French fries. Moreover, α-tocopherol had a minimal effect on French fry quality. Consequently, incorporating α-tocopherol (0.1%) into frying oil because of its inhibitory effect on the oil absorption of French fries is recommended.

Experimental Investigation of the Influence of Phase Compounds on the Friability of Fe-Si-Mn-Al Complex Alloy

The research presented in the article is devoted to the study of the influence of phase compounds on the friability of the Fe-Si-Mn-Al complex alloy. The urgency of the problem lies in the development of technology for producing a non-scatterable alloy from manganese-containing ores and high-ash coals. The main goal of this work is to determine the range of alloy compositions and the resulting phases that affect the dispersibility of the alloy, which is critically important for its industrial implementation. Research methods include thermodynamic diagram analysis (TDA) using data on the standard enthalpy of formation of intermetallic compounds, as well as experimental tests in an ore-thermal electric furnace with a capacity of 200 kV*A. The results show that Fe-Si-Mn-Al complex alloys form a variety of silicide and aluminide phases, including intermetallic compounds and ternary systems, which is critical for understanding and controlling their physicochemical properties. When melting a complex alloy, the content of leboite (Fe3Si7) in the Fe-Si-Mn-Al system plays a significant role. The development of melting process technology will be aimed at avoiding the FeSi2-Fe3Si7-F2(FeAl3Si2)-Mn11Si19 tetrahedron area. This approach to controlling the composition of a complex alloy is critical to ensuring its consistent friability properties in industrial applications. Thus, this work represents an important step in understanding the physical properties and stability of Fe-Si-Mn-Al complex alloys, which have potential for widespread use in metallurgical and other industrial applications.

The importance of both catalyst and process design in unlocking sustainable carbon feedstocks through syngas

As part of its move towards net zero, the chemical industry, over time, will transition away from fossil-based chemical feedstocks towards more sustainable, ‘green’ carbon—biomass, recycled waste and captured carbon dioxide. One gateway to transforming these feedstocks into the vital chemicals and fuels society relies on is via synthesis gas or ‘syngas’—a gaseous mixture of chemical building blocks (H 2 , CO and CO 2 ). While today the majority of syngas is produced via steam reforming of natural gas, commercially available technologies are enabling syngas production and transformation from sustainable feedstocks. The optimization of sustainable syngas technologies would not be possible without the integrated development of both catalyst and process technology and the associated skills in chemistry and chemical engineering. This paper covers three example technologies that are unlocking the role of syngas as a gateway to sustainable fuels and chemicals and highlights the innovative developments in catalyst and process design that have enabled their optimization and commercialization. This article is part of the discussion meeting issue ‘Green carbon for the chemical industry of the future’.

Multi-scalar robotic fabrication system for on-site press gluing in multi-storey timber buildings

The amount of timber construction has increased significantly in recent decades due to the development of digital processing technologies in prefabrication. However, on site, timber components are still commonly assembled manually and connected with low performance joint types. This paper presents a multi-storey timber building system with a co-designed heterogeneous multi-scalar robotic construction system, consisting of a clamping device, an industrial robotic arm, and an automated crane, for the automation of on-site timber construction. By integrating construction features into the building material, the different robotic entities can work together to assemble a point-supported quasi-monolithic timber panel of theoretically unlimited dimensions with high precision.

Autism and emotion recognition technologies in the workplace.

Technologies using artificial intelligence to recognize people's emotional states are increasingly being developed under the name of emotional recognition technologies. Emotion recognition technologies claim to identify people's emotional states based on data, like facial expressions. This is despite research providing counterevidence that emotion recognition technologies are founded on bad science and that it is not possible to correctly identify people's emotions in this way. The use of emotion recognition technologies is widespread, and they can be harmful when they are used in the workplace, especially for autistic workers. Although previous research has shown that the origins of emotion recognition technologies relied on autistic people, there has been little research on the impact of emotion recognition technologies on autistic people when it is used in the workplace. Through a review of recent academic studies, this article looks at the development and implementation processes of emotion recognition technologies to show how autistic people in particular may be disadvantaged or harmed by the development and use of the technologies. This article closes with a call for more research on autistic people's perception of the technologies and their impact, with involvement from diverse participants.

Research on Innovative Application and Practical Challenges of Generative Artificial Intelligence in English Teaching

With rapid IT advancements, generative AI is gradually transforming education, notably in English language teaching, displaying significant potential. This paper explores the application of generative AI in English teaching and the accompanying challenges. Firstly, through literature review, we summarize the development process of generative artificial intelligence technology, relevant theoretical basis and its application status in the field of education. The paper examines generative AI's application in English teaching, analyzing scenarios like personalized learning, interactive dialogues, automated assessment & feedback, and teacher tools. It also delves into practical impacts via case studies and discusses challenges like technical hurdles, integration difficulties, and ethical considerations. Finally, this paper summarizes the major contributions of generative AI in English teaching and puts forward suggestions for future development trends.

Emotional and Psychological Safety in Healthcare Digitalization: A Design Ethnographic Study.

Emotional and psychological safety is important during the use of digital technologies in healthcare. We aimed to gain comprehensive insight into needs, influencing factors and outcomes in the context of perceived safety and digital technologies in healthcare. We employed a participatory, design ethnographic research approach with 16 participants in 10 use cases. The methods included in an iterative process were, think-aloud, guideline-based interviews, process mapping, storyboard creation, and photo documentation. A qualitative, primarily inductive data analysis and synthesis was performed. Perceived safety is influenced by various factors and unmet needs. Increased perceived safety can positively support the use of digital technologies, whereas low perceived safety can limit or even hinder its use. The needs of the different target groups should be considered throughout the entire process of digital technology development and healthcare provision to support their implementation. These findings support further research by providing specific aspects of emotional and psychological safety regarding target groups, settings, and ages and those with different levels of affinity for digital technologies.