Design Dimensions Research Articles

Modeling Interfacial Dynamics on Single Atom Electrocatalysts: Explicit Solvation and Potential Dependence.

ConspectusSingle atom electrocatalysts, with noble metal-free composition, maximal atom efficiency, and exceptional reactivity toward various energy and environmental applications, have become a research hot spot in the recent decade. Their simplicity and the isolated nature of the atomic structure of their active site have also made them an ideal model catalyst system for studying reaction mechanisms and activity trends. However, the state of the single atom active sites during electrochemical reactions may not be as simple as is usually assumed. To the contrary, the single atom electrocatalysts have been reported to be under greater influence from interfacial dynamics, with solvent and electrolyte ions perpetually interacting with the electrified active center under an applied electrode potential. These complexities render the activity trends and reaction mechanisms derived from simplistic models dubious.In this Account, with a few popular single atom electrocatalysis systems, we show how the change in electrochemical potential induces nontrivial variation in the free energy profile of elemental electrochemical reaction steps, demonstrate how the active centers with different electronic structure features can induce different solvation structures at the interface even for the same reaction intermediate of the simplest electrochemical reaction, and discuss the implication of the complexities on the kinetics and thermodynamics of the reaction system to better address the activity and selectivity trends. We also venture into more intriguing interfacial phenomena, such as alternative reaction pathways and intermediates that are favored and stabilized by solvation and polarization effects, long-range interfacial dynamics across the region far beyond the contact layer, and the dynamic activation or deactivation of single atom sites under operation conditions. We show the necessity of including realistic aspects (explicit solvent, electrolyte, and electrode potential) into the model to correctly capture the physics and chemistry at the electrochemical interface and to understand the reaction mechanisms and reactivity trends. We also demonstrate how the popular simplistic design principles fail and how they can be revised by including the kinetics and interfacial factors in the model. All of these rich dynamics and chemistry would remain hidden or overlooked otherwise. We believe that the complexity at an electrochemical interface is not a curse but a blessing in that it enables deeper understanding and finer control of the potential-dependent free energy landscape of electrochemical reactions, which opens up new dimensions for further design and optimization of single atom electrocatalysts and beyond. Limitations of current methods and challenges faced by the theoretical and experimental communities are discussed, along with the possible solutions awaiting development in the future.

Research on AIGC-driven Innovation Path and Smart Creative Workflow Optimization in Design Field

Abstract AIGC has attracted much attention in the application of art and design professional fields and has gradually become an important auxiliary tool for art and design professionals creation. This paper utilizes AIGC as a starting point for design creativity and develops a text-guided image generation model based on AIGC, which employs a semantically consistent generative adversarial network. We compare different model indexes across different datasets to evaluate the image generation effect of the constructed model. Subsequently, we summarize and optimize the intelligent, creative workflow. Based on this workflow and the image generation model, we generate a series of images as an example of a cosmetic package. We then analyze the audience’s acceptance of these intelligently generated images through a questionnaire survey, thereby exploring the impact of AIGC-driven design and innovation. The GAN-SC model outperforms the comparison algorithms in various datasets, achieving an IS value higher than AttnGAN and DFGAN by 17.7% and 2.7%, respectively, and reducing the FID metrics by 29.43% and 19.6%, respectively. The acceptance rate of the AIGC-based design solution surpasses that of the traditional solution by 4.9%, and it excels across all design dimensions, showcasing the effectiveness of AIGC-driven design innovation.

A Diversified Teaching Model of Business English in Multimodal Perspective

Abstract Traditional business English pedagogy has predominantly relied on an unimodal teaching approach, which often fails to satisfy the demands of contemporary talent development. Addressing this inadequacy, this study advocates for the establishment of a diversified teaching model from a multimodal perspective. Furthermore, it introduces a comprehensive evaluation framework designed to assess the efficacy of various business English teaching methodologies. This evaluation model employs the K-means clustering algorithm for data segmentation, utilizes both positive and negative indicators for constructing metrics, and integrates the fuzzy comprehensive evaluation method with gray system theory for robust analysis. The research was conducted at AB University, where experimental and control groups were established to critically assess the effectiveness of the diversified teaching approaches. Results indicate that the experimental group’s average business English score was 53.1, which is significantly higher by 10.94 points than that of the control group (P<0.01). Moreover, notable differences were observed in students’ classroom behaviors, including course engagement, responsiveness to teachers, and learning attitudes, all showing highly significant improvements in the experimental group (P<0.01). Similarly, in terms of teaching quality, the experimental group significantly outperformed the control group across the dimensions of content design, lecture delivery, and overall teaching impact (P<0.01). This study not only underscores the effectiveness of the proposed diversified business English teaching model but also provides a theoretical and empirical foundation for its evaluation.

Workforce scheduling approaches for supporting human-centered algorithmic management in manufacturing: A systematic literature review and a conceptual optimization model

Workforce scheduling is becoming increasingly complex and time-consuming as the number of influencing factors increases. Intelligent, algorithmic optimization approaches can support managers in mastering this complex task. Since workforce scheduling influences key elements of work design, it has the potential to promote human-centered work design and thus, e.g., reduce stress and increase job satisfaction. This paper presents a literature review of various factors considered by existing algorithmic scheduling approaches in manufacturing environments. The identified factors are classified based on the dimensions of human-centered work design. The results show that the identified approaches integrate various aspects that can support human-centered workforce scheduling. However, usually only specific aspects are considered (e.g. learning effects) and certain dimensions are not considered at all (e.g. feedback). In order to exploit the potentials of algorithmic management for the design of humane work, an exemplary optimization model is presented and discussed.

Dizajniranje organizacione strukture kao pretpostavka ostvarenja poslovne izvrsnosti u proizvodnim preduzećima

In the contemporary business environment characterized by risk and uncertainty, manufacturing companies need to focus on improving quality in every single aspect of their business model, with a focus on reaching the level of business excellence. As the central dimension of organizational design, organizational structure has the status of important support for achieving business excellence in the following areas: the success of the quality management system, process management, orientation towards employees (their satisfaction and motivation), the development of partnership relations with suppliers and customers, supply chain management, innovation, and social responsibility. The goal of the research is to identify the parameters of the organizational structure which have the highest influence on the success of manufacturing companies in terms of achieving business excellence. The results of the research conducted on a sample of 94 manufacturing companies in the territory of the Republic of Serbia showed the statistically significant influence of the organizational structure on each of the business excellence determinants, whereby the following parameters have the most important role: specialization, coordination (based on a combination of mechanisms) and formalization (based on compliance with QMS requirements - Quality Management System and the ISO 9001 standards).

Adaptive Dynamic Event-Triggered Distributed Output Observer for Leader-Follower Multiagent Systems Under Directed Graphs.

Leader-follower consensus problem for multiagent systems (MASs) is an important research hotspot. However, the existing methods take the leader system matrix as a priori knowledge for each agent to design the controller and use the leader's state information. In fact, only the output information may be available in some practical applications. On this basis, this article first designs a novel adaptive distributed dynamic event-triggered observer for each follower to learn the minimum polynomial coefficients of the leader system matrix instead of the leader system matrix. The proposed method is scalable and suitable for large-scale MASs and can reduce the information transmission dimension in observer design. Then, an adaptive dynamic event-triggered compensator based on the observer and leader output information is designed for each follower, thereby solving the leader-follower consensus problem. Finally, several simulation examples are given to verify the effectiveness of the proposed scheme.

Research on Sustainable Innovation and Cultural Integration of Textile Apparel Supported by Information Technology

Abstract In the field of apparel design, the traditional manual work method can no longer meet the requirements of production and market, and the application of information technology in textile and apparel design has become increasingly important. The article outlines the significance and value of integrating cultural elements in textile apparel design and evaluates the significance and applications of information technology in textile apparel design. From the perspective of cultural genes, the article explores the cultural design factors in textile apparel design and establishes a cultural gene pool for textile apparel design. Based on the DCGAN model, the DCGAN model is improved by optimizing the loss function and residual module to construct the textile clothing style migration model. In order to verify the effectiveness of the above model in the sustainable design of textile apparel, the style migration of textile apparel and visual similarity were verified, and the attributes of sustainable design needs, importance, and satisfaction of textile apparel were evaluated. The IS values of the improved DCGAN model for textile apparel design were 0.428 and 0.439, and the visual similarity scores of the sample and migrated apparel ranged from 6.21 to 7.03. The coefficient of incorporating cultural themes reached a maximum of 75.19%, and the subjects’ satisfaction score with the culture of the textile dresses was the highest at 6.23 points. Relying on information technology can explore the connotations of cultural elements and provide a diversity of textile apparel design development.

Impact of Website Stimuli on Online Impulse Buying: A Quantitative Analysis

Understanding the factors that influence consumers to buy impulsively in an online context has become increasingly important to businesses nowadays in order to help them stay competitive in the intensively competitive e-commerce market. Though existing literature has demonstrated how a website can improve the shopping experience and influence online shoppers to buy impulsively, the focus is more on design and quality dimensions such as visual appeal, website navigability, ease of use, etc. A more detailed analysis of how the advanced technology-supported website stimuli like recommender system, information search, customer services, and privacy & data security influence the consumer shopping experience and impulse buying behavior is still needed. Based on a Stimulus-Organism-Response model’s conceptual framework and 403 valid respondents collected via an online questionnaire, this study aims to identify and explore the influence of advanced technology-supported website stimuli on customer satisfaction and online impulse buying behavior in the Malaysian context. The results showed that the recommender system, information search, and customer service had a significant influence on customer satisfaction, and the latter significantly impacted online impulse buying behavior.

Cultural lag and visionary challenges: Speculative approach to generative design

This paper presented an attempt to formulate Speculative Generative Design (SGD) approach (Generative Design based on “Speculative Design” Theory) to contemporary design methodology. We suppose that generative art and design – rooted in Modernist tradition of creative practices and currently developed as computer Artificial Intelligence based technology – should be integrated with speculative design as the critical intellectual synthesis and design methodology in the context of rapid social change and so called “cultural lag” (W. Ogburn). In authors’s perspective SGD can productively use advantages of technological and cultural determinist theoretical frameworks and stimulate creative potential of uncertainties implicit to technological driven design. Computer algorithms and programming languages could change the necessity of the designer imperative. For many practitioners these changes also open a new area of interdisciplinary intersections and collaborations between arts, design and technology. As it was demonstrated in recent publications, origins of generative art and design come from modernist visionary art and have more than century of very rich history. Authors apply the philosophy of speculative design as a framework to investigate the experimental future of generative design, based on computer algorithmic methods. Fundamental explanations of speculative approach we use presented in the book by Dunne and Raby “Speculative everything. Design, Fiction, and Social Dreaming”. Following this in order to help designers effectively explore generative design and improve their design decisions, we offer an SGD (Generative Design based on “Speculative Design” Theory) design methodology. Currently different cultures and ideologies are cognizant of the distinctions between the original settings and their own national contexts since speculative design is a culturally dimensional design methodology framework. From the bigger theoretical perspective contradictions between technological and cultural determinism could be solved in our approach in speculative manner through the generative design prototyping with the focus on possible deviations not functional capacities. With SGD-prototyping we transfer the problem into the virtual world and parallel designs appearing for creative transformations. Using props from science fiction novels and film and television dramas as media, and based on virtual future scenes and corresponding science fiction-like writing structures, future design becomes an innovative framework logic.

Hybrid physics-guided data-driven modeling for generalizable geometric accuracy prediction and improvement in two-photon lithography

Two-photon lithography (TPL) is an additive manufacturing technique to produce three-dimensional (3D) micro- and nano-scale structures. Geometric accuracy is of vital importance to ensure the quality and functionality of additively manufactured 3D structures. However, there exists limited research on modeling and improving the geometric accuracy of TPL. Moreover, there is a lack of understanding of the influence of TPL process parameters (e.g., scanning rate, laser power) and structure design on the resulting geometric accuracy. This paper presents a new hybrid physics-guided data-driven modeling framework for generalizable cross-design and cross-parameter geometric accuracy prediction and improvement. The proposed model decomposes TPL-produced geometric features into two levels: a global trend and a spatial trend. Guided by physical laws that govern voxel dimensions, we construct the global trend as a function of TPL process parameters. Our new findings reveal strong linear relationships among the parameters of the global trend model across structure design dimensions, which enable generalizable predictive modeling. Moreover, the spatial trend captures the spatially varying patterns in geometric features. A large-scale experimental design consisting of six hemisphere sizes and six parameter combinations is carried out to thoroughly test the effectiveness of the proposed method. Our modeling approach demonstrates high accuracy in predicting the geometric error of a target design with knowledge derived from other designs and parameters. The average prediction errors for radius and height are 5.23% and 4.66%, respectively. Furthermore, the proposed compensation strategy is shown to reduce the geometric errors from 22.19% to 3.21% for radius, and from 12.18% to 4.96% for height. Meanwhile, the within-sample variations are greatly reduced, indicating improved process consistency. To the best of our knowledge, this study is among the first to develop a generalizable method for cross-design and cross-parameter geometric accuracy modeling and improvement in TPL.

Экспериментальные исследования устойчивости откосов мелиоративных осушительных каналов

The article presents the results of experimental studies of the stability of slopes of reclamation channels. Experimental studies were carried out on the Grand Channel of the Laboratory of Sprinkler Machines and Hydraulic Drive of the Department of Organization and Technologies of Irrigation and Reclamation and Construction Works of the Institute of Land Reclamation, Water Management and Construction named after A.N. Kostyakov. The work of the reclamation drainage system is accompanied by the appearance of sediments, siltation of herbaceous and shrubby vegetation at the bottom and slopes of the channel. For the normal functioning of the reclamation drainage system, it is necessary to maintain the design dimensions of the channels during the entire period of their operation. To clean drainage channels, special channel cleaning machines of periodic or continuous action on caterpillar or pneumatic wheels are used, and general construction excavators with widened buckets are also often used. The operation of all these machines with a large operating weight has a peculiarity, which consists in their movement in the process of cleaning along the channel along the berm sections close to the edge. Such a situation can lead to a violation of the stability of the slopes, which in turn disrupts the capacity of the channel bed and its design geometric dimensions. The study of slope instability from the loads of channel cleaning machines allows you to correctly design the channel section and form a cleaning technology.

Towards a new Existenzminimum

This thesis brings forward the design dimension, and, more specifically, co-design, to the study of housing affordability. Co-design occurs when end-users and professionals work together towards a common goal. It is a process often applied in collaborative housing, an umbrella concept encompassing different housing forms based on collective self-organisation and collaboration, where residents choose to share certain spaces. The aim of this research is to assess if and how co-design processes applied in collaborative housing may reduce building costs, thereby making these housing projects not only affordable, but even more affordable than mainstream housing. It does so by combining a case study approach with a building costs simulation. Findings indicate that co-design decisions based on a collective self-redefinition of Existenzminimum (minimum dwelling) affect the housing layout and contribute to reduce building costs. By conceptualising housing design through the lenses of affordability, this thesis highlights the understated role of architectural design and building costs as key components in the study and provision of affordable housing solutions; and enriches the existing body of knowledge on affordable collaborative housing. Moreover, it draws attention to the way some outdated building regulations and standards hamper design innovation in housing. This research ends up with a set of general principles for the co-design of affordable collaborative housing. These design principles may assist professionals supporting co-design and, more importantly, people who want to design, build and live in a collaborative manner.

Research on the Application of Northwest Traditional Patterns in Modern Design under the Background of Big Data

Abstract Northwest traditional patterns possess a rich history and a distinctive artistic style, offering immense potential for innovative design applications. This paper delves into the integration of these conventional motifs into contemporary design frameworks. Initially, we employ the semantic differential method to select vocabulary for the perceptual assessment of Northwest traditional patterns when incorporated into modern designs. We analyze the components of the design samples and utilize the partial least squares method to construct a correlation model between the perceptual assessment vocabulary and the design elements. This approach facilitates a detailed correlation analysis between the application of Northwest traditional motifs and their perceptual evaluation, leading to the formation of associative links between the imagery vocabulary and design features. Subsequently, we define theme, symbol, composition, and color as independent variables, with audience preference as the dependent variable, to conduct a multiple regression analysis. This analysis explores the impact of these dimensions on audience preference. The findings indicate that the significance levels of theme, symbolism, composition, and color are all below 0.05, demonstrating a positive influence on audience preferences. Notably, symbolism, with a regression coefficient of 0.356, exerts the most substantial impact on audience preference. The established correlations between design elements and perceptual evaluations, alongside the analysis of design dimensions’ influence on audience preferences, provide valuable insights for the application of Northwest traditional motifs in modern design contexts.

Leveraging epoch‐era analysis and digital twin for effective system concept and execution: A CO2$_2$ storage salt‐cave project

AbstractWith the demand to reduce the release of CO‐rich gases into the atmosphere, the offshore industry is turning to systems for gas capture and storage. The construction of a cave for that purpose is planned in the salt layer of the Santos Basin, Brazil; however, numerous factors bring uncertainties to the project. We propose combining systems engineering methods and digital twin technology to enable system concept and execution aiming at value robustness. The system is modeled in mission, subsystems, components, and design attributes. System utilities and costs are estimated for a range of viable solutions based on the relevance of each attribute to the stakeholders. The alternatives are evaluated using the Epoch‐Era Analysis framework for analyzing the system's performance over time in changing future scenarios. The system model also outlines a digital twin concept and identifies how it might support salt cave design and operations. Finally, the potential of tuning and improving system evaluation based on gathered data is examined, and measures toward further digital twin development are recommended.

One Size Fits All? Exploring Motivation for Public Employees With a Job Fit Framework and Response Surface Analysis

To advance tailored recruitment, management, and on-the-job socialization, we present a complementary “job fit” framework that integrates intrinsic, extrinsic, relational, and prosocial job design attributes. Employing polynomial regression models and response surface analysis, we capture and display three-dimensionally whether, when, and how the match (or mismatch) between employee preferences and experiences relates to job satisfaction. Using a large, cross-national sample of public employees, we illustrate this framework and methodology through analysis of matched preferences, experiences, and job satisfaction across six job attributes. We identified that public employees’ varied experiences of job attributes have differential impacts on job satisfaction, contingent upon preferences for the attribute. The only attribute we identified that was insensitive to employee preferences was job security. We find, for example, that working with others is associated with decreased job satisfaction for those that prefer working alone. These findings support the motivating potential of complementary “job fit” and provide nuanced attention to appropriate methodologies and a broader range of job design attributes.

Design and calculation of cold storage capacity of 10 tons for tuna commodity

The Ministry of Maritime Affairs and Fisheries, Republic of Indonesia, urges economic stakeholders to maximize increasingly open export opportunities. With an abundance of fishery products in Indonesian waters, it must be supported by adequate facilities, one of which is the availability of cold storage, which maintains the quality of fishery products. In this study, the design of the cold storage was carried out by measuring the size of the cold storage and using the calculation of the cooling load, the calculation of cooling capacity, the calculation of the P-h diagram, and the cost estimate. The results of this study include cold storage design dimensions of 420 m3 with a long length and tall of 15×7×4 m3 made from insulation materials of polyurethane, stainless steel, and plaster. The cooling load data for the cold storage, when the product (tuna) is cooled and filled, is 3,707,444.3 kJ every 24 hours. A ton of refrigeration absorbs 12,660 kJ per 24 hours, equaling 16.3 tons of required refrigeration capacity. Meanwhile, under normal operating conditions, the total cooling load is 759,427.588 kJ per 24 hours. After calculating the cooling load, it was discovered that the initial design, which only had a capacity of 10 tons during the refrigeration process, could accommodate a cooling capacity of up to 16.3 tons. The cooling capacity of cold storage is 23.9 kW or 81.400 Btu/h. P-h diagram calculation of compressor cooling load is 0.7 kW, and the cooling load total from the evaporator to keep air room temperature of cold storage 0 °C is 0.43 kW. Estimated cost total for materials of cold storage design is USD 128,655. Highlights Refrigerator facilities are still limited in reaching remote coastal areas The cooling system must start using renewable energy Cold storage is used to maintain the quality of fishery product so that they remains in good condition From the calculation results, knowing the total cooling load when the cold storage is working, knowing the total cooling capacity of the cold storage when it is used as a fish storage refrigerator, and knowing the total estimated operational costs of the cold storage

Pathways Toward Efficient and Durable Anion Exchange Membrane Water Electrolyzers Enabled By Electro‐Active Porous Transport Layers

AbstractGreen hydrogen, produced via water electrolysis using renewable electricity, will play a crucial role in decarbonizing industrial and heavy‐duty transportation sectors. Anion exchange membrane water electrolyzers (AEMWEs) can overcome many of the performance and cost limitations of incumbent technologies, however, still suffer from durability challenges due to oxidative instability of anion‐exchange ionomers. Herein, the use of an electro‐active porous transport layer as anode (PTL‐electrode) is demonstrated to enable efficient and durable AEMWEs. The stainless‐steel PTL‐electrodes are shown to have superior performance and durability compared to traditional catalyst layers containing ionomer and nanoparticle catalysts. An AEMWE cell operating at 2 A cm−2 for over 600 h exhibited a degradation rate of just 5 µV h−1. During operation, the surface composition of the stainless steel transforms into a mixture of iron and nickel oxyhydroxides, contributing to enhanced oxygen‐evolution reaction activity. The combination of experimental work and modeling elucidates how the bulk structure of the PTL‐electrode offers an additional design dimension to further improve electrolyzer performance. Lastly, a surface modification strategy is applied to a PTL‐electrode to achieve an even higher performing AEMWE (2.3 vs 2.0 A cm−2 at 1.8 V). Overall, this work lays out pathways toward more efficient, durable, and affordable AEMWEs.

Digital twin and parameter correlation-enabled variant design of production lines

ABSTRACT The rapid transformation of production lines into a new design scheme is the key to improving the market competitiveness of enterprises. The production line is a complex manufacturing system with a complex structure. There are multidisciplinary correlation networks between different design dimensions, such as causality, mapping, and transfer. Clarifying these correlative relations is the key to the design of production line correlation. In this paper, a descriptive system is built for the production line configuration model, the motion model, the control model, and the optimization model, and the design content of production lines is clarified. A design framework of production line correlation based on the digital twin technology is proposed, and an optimization system of design schemes is built in the form of hierarchical iteration. Polychromatic sets are used to identify the relationship between different dimensions. The high-fidelity simulation ability of the digital twin technology is taken advantage of to verify the proposed four-in-one variant design method in the mobile phone welding assembly line.

Pencegahan Risiko Postur Kerja Melalui Analisa dan Rancangan Ergonomi pada Karyawan PT Asiana Garment

PT Asiana Garment is a garment company that has just opened its production site. The company also uses many tools and technologies to carry out the production process. Apart from the availability of tools and technology to achieve a smooth production process and increase the company's productivity level, ergonomic analysis of work posture is also needed. Work posture analysis was carried out on sewing and overlock operators. The results of the analysis using the REBA method showed that sewing operators had a moderate level of risk and needed improvement. The overlock operator was found to be at a high risk level and immediately required repairs. The improvement made was by redesigning the size of the chair used by the operator. The results of the design dimensions are for chair height 44.34 cm, chair length 33.8 cm, chair width 44.34 cm, chair back height 45.31 cm, and chair back width 53.92 cm

Effects of microtopography shaping on characteristics of eroded sediment particles of a dump slope in an opencast coal mine in China

AbstractThe properties of sediment particles are crucial research areas for understanding soil erosion on dump slopes. In this study, the slope of the southern dump of the ATB opencast coal mine in the Pingshuo mining area in Shanxi Province, China, was selected to conduct microtopographical shaping and artificial rainfall simulation experiments. Three different gradients of rainfall intensity, 20, 50, and 80 mm·h−1, were set. The main component of rainwater was water (chemistry H2O) by a rainfall duration of 30 min. A Microtrac S3500 laser particle size analyzer was used to measure the collected erosion sediment particles. This study conducted level benches and fish‐scale pits microtopography shaping on the slope of the waste dump. The dimensions of the level bench design were 1, 2, and 1 m for the step width, for the step length, and between each level bench, respectively. The fish‐scale pits were 60 cm (length), 40 cm (width), and 30 cm (depth). The horizontal and row spacing of each fish‐scale pit was 1 m, and an unshaped terrain was used as the control group. Through dynamic monitoring and statistical analysis of the data, the impacts of rainfall intensity and microtopography shaping mode on the features of the eroded sediment particles were analyzed. Fine silt particles (53%) were lost as a result of the surface erosion of the slope. The mean starting periods of sediment particle loss decreased with the increase in rainfall intensity (589 s > 402 s > 305 s). Additionally, the clay and silt particle enrichment ratios decreased (ER >1), whereas the sand particle enrichment ratios increased (ER <1). The level benches had a stronger interception effect on fine sediment, whereas the fish‐scale pits had a weaker interception effect on sediment particles under heavy rain. The distribution properties of erosion sediment particles on a slope can be assessed using fractal dimension as an index. This study is significant for understanding the erosion mechanism of eroded sediment particles on dump slopes and provides a scientific foundation for soil erosion control on opencast coal mine dump slopes in the Loess Plateau. These results highlight the potential for the level bench to effectively delay the occurrence of runoff and greatly enhance the interception of sediment particles.