Improve Design Efficiency Research Articles

A Semi-Analytical Method to Design a Dynamic Vibration Absorber for Coupled Plate Structures of Offshore Platforms

Coupled plate structures composed of stiffened plates and sub-plates have been widely used in marine engineering practice. Meanwhile, the low-frequency multi-linear spectrum vibration control of the coupled stiffened plate structures has become necessary and meaningful. However, the design efficiency of the dynamic vibration absorber of the corresponding structure is still low. In the present study, a mathematical model of coupled plate structures and a dynamic vibration absorber is introduced to improve design efficiency. Subsequently, an experiment is designed to verify the effectiveness and advantages of the current method. The reliability of the current mathematical model is verified by comparing it with modal experiment results. Moreover, the equivalent mass solution efficiency is greatly improved by comparing it with FEM. Finally, a comparison experiment of the dynamic vibration absorber has also been conducted to further verify the effectiveness of the current method. The semi-analytical method proposed in the current research may be useful when designing dynamic vibration absorbers for the coupled plate structures of offshore platforms.

Force-Driven Model for Automated Clear Aligner Staging Design Based on Stepwise Tooth Displacement and Rotation in 3D Space

This study introduced a novel force-driven automated staging design method for clear aligners, aimed at enhancing treatment planning efficiency and outcomes. The method simplified the alignment process into a force-driven mechanics model that calculates forces and moments exerted on teeth while adhering to Newton’s third law, determining their displacement and rotation at each position. An optimal path was generated by iteratively moving teeth from their initial to target positions and subsequently divided into stages based on a predefined step size. The algorithm was implemented in C++ and incorporated into the WebGL-based SmarteeCheck3.0 software for visualization. In a maxillary extraction case, the automated staging method (0.25 mm step size) generated 51 stages in merely 5 s, while manual staging (>0.25 mm step size) necessitated 30 min to achieve 55 stages. In a molar distalization case, the automated method demonstrated similar efficiency advantages, generating 30 stages for the maxilla and 34 for the mandible, compared to 41 stages each in manual staging. The automated staging approach yielded shorter and more precise tooth movement paths that adhered to aligner biomechanics and physical principles, surpassing the limitations of manual staging. For cases requiring entire arch displacement, the method incorporated sequential movements with anchorage control to maintain force equilibrium. This innovative method substantially improved design efficiency and accuracy, ultimately elevating the efficacy of clear aligner therapy, although further biomechanical analyses and experimental validations are needed to refine the model parameters.

PSR-GAN: a product concept sketch rendering method based on generative adversarial network and colour tags

Looking for the fit of colour and form is an important goal of product design, but conceptual visualisation based on hand-drawn sketches, a necessary way in the early stage, consumes a lot of designers’ time and energy, resulting in missing fleeting design inspirations and clues. We propose a product concept sketch rendering method based on generative adversarial network and colour tags to assist designers in quickly capturing the harmony and balance between product colour and form, and improving design efficiency. This method encodes colour semantic information as the condition and combines ACGAN to achieve controllable rendering of line sketches based on specified colour tags. The generator is a hybrid of CNN and Transformer, further guided to optimise by combining pixel-wise loss and perceptual loss, while the discriminator adopts a convolution-based spatial-channel attention structure. Results show that PSR-GAN outperforms existing methods in terms of generation quality, and it also demonstrates excellent rendering results compared to professional manuscripts. Designers can use this method not only to obtain real-time comprehensive conceptual feedback but also to effectively narrow the colour search space for product details, accelerating the convergence of their design ideas during the sketch phase.

A biomechanics-oriented study on the impact of AIGC on user interaction and ergonomics in visual communication design

This study investigates the biomechanical implications and ergonomic impacts of AI-generated content (AIGC) integration in visual communication design workflows. Through a comprehensive analysis of 23 professional designers in Chengdu, China, we examined the physical stress patterns, user interaction dynamics, and overall ergonomic outcomes when transitioning from traditional to AIGC-assisted design processes. The research employed a mixed-method approach combining quantitative biomechanical measurements with qualitative user experience assessments over 12 weeks. Results revealed significant reductions in muscle activity across key muscle groups, with the upper trapezius showing the most significant decrease (−3.6% MVC, p < 0.001) during AIGC-assisted tasks. This change in muscle activity can be further linked to alterations in the body's postural stability and load distribution, which are core considerations in biomechanics. Movement efficiency metrics, which are inherently related to biomechanical performance, demonstrated a 27.9% reduction in task completion time (p < 0.001) and a 33.3% decrease in design iterations. Quality assessment scores improved across all dimensions, with Creative Innovation showing the highest enhancement (+1.8 points, p < 0.001). User satisfaction metrics indicated significant improvements, with consistent gains of 1.1 points (on a 5-point scale) across all measured dimensions (p < 0.001). Notably, the study identified distinct adaptation patterns between novice and experienced users in terms of their biomechanical responses. Experienced users demonstrated significantly faster response times in AIGC prompt input (8.94 ± 1.87 s vs 18.62 ± 3.15 s, p < 0.001), which can be associated with differences in their neuromuscular coordination and motor learning abilities. While AIGC integration initially increased certain types of errors (+51.2% in input errors), it led to substantial reductions in tool misuse (−40.4%) and design revisions (−39.9%). These findings suggest that AIGC integration can significantly reduce physical stress while improving design efficiency and quality outcomes, all of which are intertwined with the biomechanical functioning of the body during the design process. The research provides evidence-based recommendations for optimizing AIGC implementation in professional design workflows, taking into account the biomechanical and ergonomic factors that contribute to the overall well-being and creative productivity. This study has important implications for software development, workplace health policies, and the future direction of AI-assisted creative work, as it highlights the significance of considering biomechanics in the integration of advanced technologies within creative domains.

The Model and Simulation of Memristor

Memristor is an emerging electronic component, tremendous efforts have been made in the fields of memristor, motivated by its unique resistor switching feature, as well as the good compatibility with the current integrated circuit (IC) technologies. It has been widely accepted that memristor would be a powerful candidate for constructing the brain-like computing hardware system in the next generation of electronics. Even so, there are still challenges in the development of the memristor IC and the calculation system based on it. For an example, the lack of memristor simulation module hinders its automatic design. Herein, we would like to propose a method for simulating the feature of the memristor. Firstly, based on the conductive filament based physical principle of memristor, calculations are conducted to simulate the basic electronic features of memristor. The good fitness confirms the feasibility of the proposed method. Second, the memristor’s resistance switching feature is modelled by Spice, a popular design platform. With the use of Voltage-Controlled Current Source (VCCS) in Spice, a modulus of memristor is established and executed to simulate the switched resistances under different bias voltages. In summary, this work demonstrates the feasibility of the proposed simulating method, it may provide an easy-to-operate way to improve design efficiency of active memristor arrays

Vibration response-based time-variant reliability and sensitivity analysis of rolling bearings using the first-passage method

Vibration response-based time-variant reliability and sensitivity analysis of rolling bearings using the first-passage method

Advancing pure ray tracing for the simulation of volume holographic optical elements: innovations in diffractive waveguide-based augmented reality systems

As augmented reality (AR) glasses technology evolves, volume holographic diffractive waveguide designs are increasingly adopted to enhance portability and performance. Traditionally, these systems require separate geometric and wave optics approaches to handle ray propagation and holographic element diffraction, adding significant complexity to the design process. This study presents an innovative pure ray tracing simulation method that integrates geometric and wave optics seamlessly. By incorporating Kogelnik's coupled wave theory, our model accurately predicts the diffraction behavior of volume holographic optical elements (VHOEs) and converts this information into ray data for tracing, enabling exact AR imaging simulations. Applied to the design of volume holographic waveguide AR glasses, human vision simulations, and experiments validated this method's reliability, demonstrating its versatility and effectiveness. This model improves design efficiency and promotes innovative advancements in cross-theoretical optical system design, positioning it as a crucial tool for future AR glasses development.

Research on optimization method of landscape design based on computer algorithms

Traditional landscape design primarily depends on the experience and subjective judgment of designers, lacking systematic and scientific algorithmic support, making it difficult to find the optimal solution in large-scale and complex scenes. This article proposes an interactive genetic algorithm for landscape design, which searches for the optimal solution in large-scale design spaces and improves design efficiency. Collect a large amount of landscape-related data, preprocess it, and ensure its quality, and ensure the quality of the data. Introduce elements such as plants, water bodies, and hard structures to initially design the space, extract features from landscape design images, and perform 3D reconstruction to obtain richer design space information. Generate initial design schemes using genetic algorithms and introduce subjective opinions from designers through interactive processes. The experimental results show that the average aesthetic score of interactive genetic algorithm for landscape design optimization is 9.0, and the average design time of interactive genetic algorithm is 34.5 days. Introducing the subjective opinions of designers into landscape design optimization based on heritage algorithms can effectively improve design aesthetics and shorten the total design time.

The Application of Virtual Reality Technology in Clothing Product Development

With the rapid development of modern technology, virtual reality technology is gradually emerging in the clothing industry, which has a profound impact on key aspects such as product design, sample clothing production, production management, and supply chain management. This study delves into the specific application status, efficiency advantages, and complex challenges faced by virtual reality technology in clothing product development. Through system analysis, this article provides a detailed explanation of the technology's implementation of digital clothing design, virtual fitting, and efficient integration of 3D modeling and simulation systems. Meanwhile, this article provides a detailed and in-depth discussion on the application details of virtual reality technology in areas such as sample clothing production, production process management, and supply chain operations. The research results show that virtual reality technology has brought new design and management tools to the clothing industry, effectively improving design efficiency, reducing cost expenditures, enhancing user experience, and driving the entire industry towards more efficient, intelligent, and sustainable development.

A Crashworthiness Design Framework based on Temporal-Spatial Feature Extraction and Multi-Target Sequential Modeling

A Crashworthiness Design Framework based on Temporal-Spatial Feature Extraction and Multi-Target Sequential Modeling

Intelligent Design Method and System of Tin Spraying Steel Mesh for Complex Combiner

ABSTRACT In the process of spraying tin into the combiner cavity, employing the Tin Spraying Steel Mesh (TSSM) is crucial. This operation is akin to covering a complex, maze-like area with multiple islands and branches. Manual operation is labor-intensive, time-consuming, and challenging to ensure high-quality results. Therefore, this paper presents an intelligent design method and system for the TSSM, based on graphic processing. Initially, isolated islands are used as nodes to establish the topology structure of complex paths. Then, an improved Delaunay triangulation method is utilized to extract intermediate paths for regions with branching paths, resulting in the division into multiple single path regions. Following this, the island regions undergo equal arc length segmentation, while the single path regions are subjected to random bidirectional segmentation to obtain the final TSSM. Finally, a TSSM intelligent segmentation system is developed by seamlessly integrating this method into the AutoCAD software platform using ObjectARX technology. The TSSM obtained by this method meets the quality requirements, demonstrating consistent segmentation direction and uniform gaps. Furthermore, the system can adjust segmentation parameters to cater to different combiner specifications, thereby significantly improving design efficiency and establishing itself as an indispensable auxiliary tool in the automated design of combiners.

Flow field reconstruction of compressor blade cascade based on deep learning methods

Flow field reconstruction of compressor blade cascade based on deep learning methods

Aerodynamic optimization design and experimental verification of a high-load axial flow compressor

Aerodynamic optimization design and experimental verification of a high-load axial flow compressor

Can Stylized Products Generated by AI Better Attract User Attention? Using Eye-Tracking Technology for Research

The emergence of AIGC has significantly improved design efficiency, enriched creativity, and promoted innovation in the design industry. However, whether the content generated from its own database meets the preferences of target users still needs to be determined through further testing. This study investigates the appeal of AI-generated stylized products to users, utilizing 12 images as stimuli in conjunction with eye-tracking technology. The stimulus is composed of top-selling gender-based stylized Bluetooth earphones from the Taobao shopping platform and the gender-based stylized earphones generated by the AIGC software GPT4.0, categorized into three experimental groups. An eye-tracking experiment was conducted in which 44 participants (22 males and 22 females, mean age = 21.75, SD = 2.45, range 18–27 years) observed three stimuli groups. The eye movements of the participants were measured while viewing product images. The results indicated that variations in stimuli category and gender caused differences in fixation durations and counts. When presenting a mix of the two types of earphones, the AIGC-generated earphones and earphones from the Taobao shopping platform, the two gender groups both showed a significant effect in fixation duration with F (2, 284) = 3.942, p = 0.020 < 0.05, and η = 0.164 for the female group and F (2, 302) = 8.824, p < 0.001, and η = 0.235 for the male group. They all had a longer fixation duration for the AI-generated earphones. When presenting exclusively the two types of AI-generated gender-based stylized earphones, there was also a significant effect in fixation duration with F (2, 579) = 4.866, p = 0.008 < 0.05, and η = 0.129. The earphones generated for females had a longer fixation duration. Analyzing this dataset from a gender perspective, there was no significant effect when the male participants observed the earphones, with F (2, 304) = 1.312 and p = 0.271, but there was a significant difference in fixation duration when the female participants observed the earphones (F (2, 272) = 4.666, p = 0.010 < 0.05, and η = 0.182). The female participants had a longer fixation duration towards the earphones that the AI generated for females.

Sustainable design: Circular innovation design method under process reengineering

Sustainable design: Circular innovation design method under process reengineering

A systematic problem analysis network for product conceptual design

A systematic problem analysis network for product conceptual design

BIM – CONSTRUCTION LIFECYCLE

Engineering, construction, and architecture have all been impacted by building information modeling, or BIM. The use of BIM technology during a building's operational phase is only now beginning to gain popularity among building owners looking for creative ways to increase the effectiveness of their facility operations. Lifespan The process of creating, storing, and using building data to manage operations and maintenance of buildings over the course of their operational lives is known as building information modeling, or BIM. Many facets of building operations that gain from improved data are of interest to facility managers. The goal is for stakeholders to produce and utilize consistent digital information at every stage of the asset's lifecycle. BIM Lifecycle is the process of creating, utilizing and maintaining the building information. BIM technology has the potential to significantly increase the efficiency of project maintenance as well as building design, production, construction, operation, and maintenance. Specifically, information management throughout the manufacturing stage optimizes the production process, and collaborative design using BIM technology improves design efficiency. Its data management function increases the effectiveness of building operations and maintenance, and its 3D visualization tool lowers construction errors and encourages efficiency in the constructing phase.

Pattern search algorithm-aided structural color Sb2S3-based dynamic hybrid all-dielectric metasurface

Pattern search algorithm-aided structural color Sb2S3-based dynamic hybrid all-dielectric metasurface

Engineering information format utilisation across building design stages: An exploration of BIM applicability in China

Engineering information format utilisation across building design stages: An exploration of BIM applicability in China

Interior Scene Coloring Design Model Combining Improved K-means and SAA

Due to technological progress and changes in people’s aesthetic standards, traditional design models need to be constantly broken through, seeking more efficient and accurate design methods. Seeking effective design models to improve design efficiency and prediction accuracy is an important task. Therefore, this study proposes an indoor scene coloring design model that combines improved K-means clustering and simulated annealing algorithm for this important task. Based on the analysis of indoor scene coloring, particle swarm optimization algorithm is used to optimize K-means clustering to achieve color classification. Combined with simulated annealing algorithm, adaptive adjustment of lighting conditions is achieved to enhance the naturalness and realism of coloring. These results confirmed that the proposed method had the highest average F-value, with an average F-value of 92.524 and 143.601 on both datasets, respectively. The average ARI values were 0.361 and 0.897, respectively. The designed algorithm performed the best and converged faster than other three. Therefore, the proposed method can effectively ensure the consistency between the distribution of data objects after clustering and the actual situation. For indoor scene coloring design, it has important practical significance and provides new possible paths for improving design efficiency and prediction accuracy.