Industrial Design Research Articles

“…No one knows what it exactly means”: how do design graduates approach the concept of sustainability?

Purpose By exploring the understanding of design graduates toward the concept of sustainability in both their professional and personal lives, this study aims to uncover how they approach the concept of sustainability, providing insights for design educators, researchers and curricula. Design/methodology/approach This study adopts a phenomenological approach and uses a mixed methodology, incorporating semi-structured interviews with 18 design graduates and a survey conducted with 181 design graduates from industrial design departments at universities in Türkiye. Regarding the research approach, the authors analyzed the data using thematic analysis. Findings Empirical findings revealed that design graduates from various universities in Türkiye perceive sustainability as a complex, multifaceted and popular concept. They associated it with environmental factors, including material properties, recycling and reuse activities, as well as with daily life practices. In terms of critical perspectives on sustainability, the prominent findings were on the transparency of the concept, its limitations and its outcomes. Another critical view they expressed was the lack of expertise in sustainability. Furthermore, their engagement with the concept of sustainability was influenced by intrinsic and extrinsic motivations. Originality/value This study distinguishes itself by exploring how design graduates approach the concept of sustainability, complementing existing research that focuses on design curricula, learning outcomes, design projects or students’ perspectives in higher design education.

Improved Efficiency of Weakly Coupled Wireless High‐Power Transfer Systems by Loss‐Separation Strategy

ABSTRACTIn the equivalent T‐model of the loosely coupled transformers, the small mutual inductance can lead to higher conducting currents, which cause high losses in the primary circuit and significantly reduce the overall transfer efficiency under weak‐coupling states. To overcome this challenge, this paper proposes a strategy to separate the primary loss components from the weak‐coupling stage. In the proposed strategy, a gyrator in the form of a double‐resonance T‐block is added just before the weak‐coupling stage to improve the overall efficiency. Then, the strategy is realized by various topologies such as compensating circuits, added coils, isolated transformers, and integrated‐/split‐ inductors/coils. Also, the optimized designs and component selection for resonance and the mathematical derivation for optimal load resistances were investigated. ANSYS comparative analyses of the topologies are presented by considering practical aspects, including component designs, power flows, transfer efficiency, resonance frequency shifting, and optimal loads. Finally, the analyses were validated using the fabricated experimental setups and demonstrated an efficiency improvement of about 5% for a case with a coupling factor of 0.1. The proposed strategy offers suggestions for industrial designs of high‐power wireless battery charging systems using resonant inductive coils.

Research on Messaging Applications as Mediators to Enhance Design Creativity in Industrial Design Students in China

Background and Aim: In globalization, creativity emerges as a pivotal factor in bolstering the competitiveness of nations and individuals. Therefore, fostering students' creativity becomes a crucial goal of education and a key driver for societal development and innovation. This study, with its potential to determine the factors that affect the design creativity of industrial design students through messaging applications, holds significant promise. The research framework includes variables such as design creativity (DC), knowledge sharing (KS), cooperative learning (CL), inspiration (IN), creative self-efficacy (CS), and the use of messaging applications (UMA). By exploring the influence of educational methods on creativity development through the analysis of students' creative generation process in messaging applications, we aim to provide new perspectives and tools that could profoundly impact creativity and educational research. Materials and Methods: In this research, we meticulously collected 467 valid questionnaires from colleges and universities in Sichuan Province, China, employing rigorous quantitative methods and questionnaire surveys. To ensure the utmost accuracy of the questionnaire data, we conducted a confirmatory factor analysis (CFA) to test the relationship between the observed variables and the potential variables. Subsequently, we employed the structural equation model (SEM) to test the research hypothesis comprehensively. Applying these two analytical techniques underscores the scientific rigor of our research methods and the robustness of our results. Result: The results of data analysis show that the use of message application, knowledge sharing, cooperative learning, inspiration, and creative self-efficacy significantly affect design creativity. Using message application as an intermediary variable improves industrial design students' knowledge-sharing and creative self-efficacy, thus enhancing their design creativity. However, the intermediary role of message application between inspiration, collaborative learning, and design creativity is not significant. This finding contrasts with the results of pilot tests, reflecting the differences in educational strategies implemented by different educators in influencing students' interaction and inspiration in collaborative learning. Conclusion: Studying the use of message applications to enhance creativity can promote educational equity and social interaction and stimulate interdisciplinary learning and collective wisdom. At the same time, cultivate students' innovative skills and lifelong learning and innovation ability. The research results provide educators with insights into how industrial design students can use new applications more effectively to improve their design creativity and confirm the effectiveness of students' creativity self-assessment. Therefore, in educational practice, the design creativity self-assessment scale can be used to evaluate students' design works. In addition, this study can be used as a reference for teaching and creativity research in other art disciplines.

Coupling machine learning and group contribution method to predict density and viscosity of ionic liquid-inorganic solvent-water ternary mixtures

Accurate prediction of the physical properties of mixed systems is essential for efficient industrial design and process optimization. This study explores the use of a hybrid approach that combines the group contribution (GC) method with advanced machine learning (ML) algorithms to predict the density and viscosity of ternary mixtures comprising ionic liquids (ILs), inorganic solvents (ICs), and water. The machine learning algorithms employed include artificial neural networks (ANN), XGBoost, and LightGBM. A comprehensive dataset was compiled, encompassing 5738 density data points for 25 classes of ILs and 34 classes of ICs, and 1551 viscosity data points for 12 classes of ILs and 16 classes of ICs. The results indicate that all three ML-GC models significantly outperformed traditional GC models without ML algorithms. Notably, the XGBoost-GC model exhibited the highest prediction accuracy for density, with an R2 of 0.9983, while the ANN-GC model with 7 neurons in the hidden layer delivered the best predictions for viscosity, with an R2 of 0.9967. Additionally, the Shapley Additive Interpretation (SHAP) analysis reveals that the molar fractions of water and IC primarily influence density, whereas the presence of the IC anion NO3 and temperature significantly impact viscosity. Moreover, a practical example is provided to illustrate the real-world applicability of the ML-GC models developed in this work, highlighting their potential to enhance industrial processes through precise property predictions.

A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models

In recent years, the potential applications of Large Multimodal Models (LMMs) in fields, such as healthcare, social psychology, and industrial design have attracted wide research attention, providing new directions for human factors research. For instance, LMM-based smart systems have become novel research subjects of human factors studies, and LMM introduces new research paradigms and methodologies to this field. Therefore, this article aims to explore the applications, challenges, and future prospects of LMM in the domain of human factors and ergonomics through an expert-LMM collaborated literature and patent review. Specifically, this article proposes a novel review method and introduces research studies and patents related to LMM-based accident analysis, human modeling, and intervention design. Subsequently, the article discusses future trends in research paradigm and challenges of human factors and ergonomics studies in the era of LMMs. It is expected that the review results offer valuable insights and serve as a reference for using LMMs in human factors research.

Optimization Strategies for Industrial Heritage Landscape Design in Zhengzhou

Optimization Strategies for Industrial Heritage Landscape Design in Zhengzhou

The Analysis of Applications of Microcomputers in Information Engineering: From Automatic Control Electromechanical Systems to LSI Circuit Design

This paper explores the significant developments in computer technology within the field of information engineering, with a particular focus on the applications of microcomputers. The research delves into two key areas: automatic control electromechanical systems and large-scale integrated circuits (LSI). In recent years, the integration of microcomputers in these systems has transformed the way data is processed, improving system efficiency and precision. The literature review identifies advancements in microcomputer-based control systems, which enhance real-time responsiveness and system stability, alongside innovations in circuit design that contribute to higher integration density and reduced power consumption. Case studies further highlight practical applications in industrial automation and GPS receiver design, demonstrating how microcomputers optimize both functionality and energy efficiency. By synthesizing these findings, this paper underscores the critical role of microcomputers in advancing modern information engineering and offers recommendations for future research, especially in areas where artificial intelligence and edge computing are integrated into next-generation systems. This study contributes to the understanding of how microcomputers enhance technological efficiency and drive innovation in complex engineering environments

Efficient continuous SF6/N2 separation using low-cost and robust metal-organic frameworks composites

Physisorption presents a promising alternative to cryogenic distillation for capturing the most potent greenhouse gas, SF6, but existing adsorbents face challenges in meeting diverse chemical and engineering concerns. Herein, with insights into in-pore chemistry and industrial process design, we report a systematic investigation that constructed two low-cost composites pellets (Al(fum)@2%HPC and Al(fum)@5%Kaolin) coupled with an innovative two-stage Vacuum Temperature Swing Adsorption (VTSA) process for the ultra-efficient recovery of low-concentration SF6 from N2. Record-high selectivities (> 2×104) and SF6 dynamic capacities (~ 2.7 mmol/g) were achieved, while exceptional SF6 productivities (~ 58.7 L/kg), yields (~ 96.8%), and recyclability (~ 1000 cycles) were demonstrated in fixed-bed adsorption-desorption experiments under mild regeneration conditions. 2D solid-state NMR/in-situ FTIR, DFT-D binding/diffusion simulation analyses revealed the multi-site binding mode and the ultra-fast diffusion of SF6 within the channels. The proposed VTSA processes successfully met the dual stringent requirements of both environmental protection and electricity equipment operation: the SF6 recovery of 99.91% accompanied with a SF6 purity/working capacity of 99.91%/2.1 mmol/g, which significantly outperformed the industrial employed adsorbent zeolite 13X and showed only 18.7% the energy consumption of the cryogenic distillation.

Fuzzy multi-objective optimization model to design a sustainable closed-loop manufacturing system

Republicans and Democrats practically everywhere have been demonstrating concerns about environmental conservation to achieve sustainable development goals (SDGs) since the turn of the century. To promote fuel (energy) savings and a reduction in the amount of carbon dioxide CO2 emissions in several enterprises, actions have been taken based on the concepts described. This study proposes an environmentally friendly manufacturing system designed to minimize environmental impacts. Specifically, it aims to develop a sustainable manufacturing process that accounts for energy consumption and CO2 emissions from direct and indirect energy sources. A multi-objective mathematical model has been formulated, incorporating financial and environmental constraints, to minimize overall costs, energy consumption, and CO2 emissions within the manufacturing framework. The input model parameters for real-world situations are generally unpredictable, so a fuzzy multi-objective model will be developed as a way to handle it. The validity of the proposed ecological industrial design will be tested using a scenario-based approach. Results demonstrate the high reliability, applicability, and effectiveness of the proposed network when analyzed using the developed techniques.

Simulation of solar photocatalytic reactor with immobilized photocatalyst for degradation of pharmaceutical pollutants.

This study focuses on the simulation of a solar photocatalytic reactor with linear parabolic reflectors and continuous fluid flow. The simulation approach was initially validated against experimental data reported by Miranda-Garcia et al. Catal Today 151:107-113 (2010), yielding a high degree of accuracy of approximately 0.99%. In this article, the effect of light intensity, Reynolds number, and fluid residence time on the performance of a photoreactor system using titanium dioxide catalyst and ibuprofen pollutant has been investigated. The results show that the intensity of light intensity has an effect of up to 29% on the decomposition of pollutant. With the increase of radiation intensity, the removal of pollutants reached from 85.5% to 99.46%. It has been demonstrated that higher flow turbulence significantly impacts removal efficiency, achieving rates of up to 71%. Moreover, enhancing the fluid's residence time through implementing a recirculating flow within the photoreactor has resulted in a 13% enhancement in removal efficiency. These results can be an important guide for optimizing the design of photocatalytic reactors. By adjusting the examined parameters, it is possible to obtain a higher efficiency in the removal of pollutants, which will be very effective in the scaling and industrial design of solar reactors.

Industrial Design’s Role in E-Commerce Product Development: A Study on Innovation Drive and Market Adaptability

In the context of the rapid development of e-commerce, industrial design, as a key link in product development, plays an essential role in enhancing product competitiveness and meeting consumer demands. This paper, titled “Industrial Design’s Role in E-commerce Product Development: A Study on Innovation Drive and Market Adaptability,” aims to delve into the role of industrial design in e-commerce product development, analyzing how it leverages innovative practices to boost product market competitiveness and consumer satisfaction. The paper begins by outlining the theoretical foundations of industrial design and the characteristics of e-commerce product development, followed by a literature review that organizes the value of industrial design in product development and its impact on market adaptability. Subsequently, the paper describes in detail the industrial design process and methodology, with particular emphasis on the application of design thinking and user-centered design in e-commerce product development. Through case studies, the paper demonstrates how Dongguan Shangshan E-commerce Co., Ltd. and Dongguan Youyi Trading Co., Ltd. have driven product innovation through industrial design. Finally, the paper highlights the role of industrial design in enhancing market adaptability and building brand value, offering practical recommendations for e-commerce enterprises. The research findings indicate that industrial design is not only about the design of product appearance and functionality but also serves as a bridge between the product and the market and consumers, which is essential for the success of e-commerce products.

PARAMETRIC DESIGN AND ADAPTIVE SIZING OF LATTICE STRUCTURES FOR 3D ADDITIVE MANUFACTURING

The present research is developed into the realm of industrial design engineering and additive manufacturing by introducing a parametric design model and adaptive mechanical analysis for a new lattice structure, with a focus on 3D additive manufacturing of complex parts. Focusing on the land-scape of complex parts additive manufacturing, this research proposes geometric parameterization, mechanical adaptive sizing, and numerical validation of a novel lattice structure to optimize the final printed part volume and mass, as well as its structural rigidity. The topology of the lattice structures exhibited pyramidal geometry. Complete parameterization of the lattice structure ensures that the known geometric parameters adjust to defined restrictions, enabling dynamic adaptability based on its load states and boundary conditions, thereby enhancing its mechanical performance. The core methodology integrates analytical automation with mechanical analysis by employing a model based in two-dimensional beam elements. The dimensioning of the lattice structure is analyzed using rigidity models of its sub-elements, providing an evaluation of its global structural behavior after applying the superposition principle. Numerical validation was performed to validate the proposed analytical model. This step ensures that the analytical model defined for dimensioning the lattice structure adjusts to its real mechanical behavior and allows its validation. The present manuscript aims to advance additive manufacturing methodologies by offering a systematic and adaptive approach to lattice structure design. Parametric and adaptive techniques foster new industrial design engineering methods, enabling the dynamic tailoring of lattice structures to meet their mechanical demands and enhance their overall efficiency and performance. Keywords: Computer-Aided Design, Industrial Design, Innovative Design, Additive Manufacturing, FEM Simulations

Functional safety-oriented hazard analysis and risk assessment for vehicular fuel cell systems.

Functional safety is an emerging trend for safety design in the automobile industry. This study is an innovative exploration of a hazard analysis and quantitative risk assessment (QRA) methodology based on the functional safety of vehicular fuel cell systems. In this study, the potential hazards that fuel cell vehicles may encounter during operation were identified using the automobile generic hazard list. The failure modes and influences of the main components of the fuel cell system were determined via hazard and operability studies. Furthermore, the risks and consequences of the fuel cell system were explored using the QRA method. The failure frequency and unavailability of the fuel-cell system were calculated, and the architecture was optimized using a redundant design with a focus on hydrogen safety. The results showed that the optimized system architecture could effectively reduce the hazard of hydrogen leakage, and the unavailability and failure frequency of hydrogen leakage risk were reduced by 94.4% and 36.8%, respectively. Thus, this study provides powerful insights for future research and improvement of vehicular fuel cell systems.

Sustainable Considerations in Toy Product Design: Practices of Beijing Haileyland Maternity and Baby Products Co., Ltd.

This paper aims to explore how Beijing Haileyland Maternity and Baby Products Co., Ltd. integrates sustainable considerations into its toy product design to respond to environmental protection and social responsibility demands. By combining literature review, case analysis, and field research, this paper analyzes the company’s practices in material selection, production processes, and product life extension, and assesses the profound impact of these practices on the product, the enterprise, and the entire toy industry. The study finds that Beijing Haileyland Maternity and Baby Products Co., Ltd. has enhanced its product competitiveness and strengthened its corporate social responsibility image by adopting eco-friendly materials, optimizing production processes, and extending product life. This paper further discusses the challenges and opportunities of sustainable design in the toy industry and proposes corresponding policy recommendations and future research directions. Ultimately, the paper summarizes the efforts and achievements of Beijing Haileyland Maternity and Baby Products Co., Ltd. in achieving product design sustainability, providing valuable references and insights for other enterprises.

An Integrated Optimization Framework for Inherently Safer Hydrogen Utility System Synthesis and Layout Design of Petrochemical Industry: Implementing Domino Hazard Index

An Integrated Optimization Framework for Inherently Safer Hydrogen Utility System Synthesis and Layout Design of Petrochemical Industry: Implementing Domino Hazard Index

The Industrial Design Role in Supporting the Retro Style and Evoking Nostalgia

The Industrial Design Role in Supporting the Retro Style and Evoking Nostalgia

Phase-field modeling of ductile fracture in bioinspired interfaces with dissipative structures

Intrinsic toughening, which occurs during ductile fracture and is motivated by plasticity, plays an important role in the industrial design of biomimetic composites. The interface structure in biomimetic composites can serve as a source of energy dissipation and stress relaxation, thereby achieving the goal of toughening. A new ductile fracture mechanism is proposed considering the influence of accumulated plastic deformation on local fracture toughness in a ductile phase-field model. The inducement to control the toughening mechanism is local energy dissipation, and the possible arrangement and shape of the dissipative structure are designed to capture the corresponding interface toughening mechanism. The channel structures of the barnacle substrate provide great inspiration for the structural toughening of the interface. The toughening mechanisms of weak interfaces are further explored by 3D printing structure specimens. The results indicate that the form of the R-curve is like a mixture of local J shaped and Γ shaped R-curves, which can also be called a periodic alternating mode. The J shaped R-curve represents the dissipation mechanism of the channel shape, while the Γ shaped R-curve represents the periodic crack arrest caused by local deformation of the channel.

Error Detection of Industrial Design Product Appearance Dimensional Based on Machine Vision

Error Detection of Industrial Design Product Appearance Dimensional Based on Machine Vision

The Influence of Anthropomorphism and Presence on the Acceptance Intention of Makeup Image Optimization Recommendation Systems Utilizing Deep Learning Technology: Focusing on the Mediating Effect of Cognitive Absorption

This study was conducted to understand the relationship between HCI (Human-Computer Interaction) factors, user cognitive absorption, and acceptance intention in makeup image optimization recommendation systems. A preliminary survey and main survey were carried out targeting adults in their twenties, and various statistical methods including frequency analysis, exploratory and confirmatory factor analysis, and structural equation modeling were used to analyze the data using SPSS and AMOS programs. The results of the study confirmed that the survey items consistently and reliably measured each variable through reliability and validity analysis, and the model’s high fit was proven through principal component analysis and confirmatory factor analysis. Correlation analysis showed significant positive relationships between all variables, and most paths in hypothesis testing through structural equation modeling were statistically significant. In particular, a significant partial mediating effect was found in the path where anthropomorphism affects acceptance intention mediated by curiosity. This means that HCI factors such as anthropomorphism and presence positively influence the acceptance intention of the recommendation system through various aspects of cognitive absorption, such as user engagement, temporal dissociation, curiosity, and pleasure. These results provide important implications for user-centered service design and improvement, suggesting that it is possible to move towards increasing user satisfaction and loyalty by accurately reflecting individual user needs and preferences. Additionally, the findings promote a deeper understanding of technological innovation in the beauty industry and user experience design, laying the foundation for effective user-centered service development.

Pengembangan dan Evaluasi Printer 3D FDM Berbasis Linear Slider MGN12 untuk Meningkatkan Kepresisian pada Aplikasi Ergonomi dan Industri

Three-dimensional (3D) printing technology, particularly the Fused Deposition Modeling (FDM) method, plays a crucial role in modern industrial design and ergonomics research. One of the primary challenges in this application is ensuring high precision, operational stability, and reducing mechanical wear to support the sustainability and efficiency of the printing process. This study introduces the development of a 3D printer based on FDM, utilizing the MGN12 linear slider as a replacement for conventional roller bearings. This innovation is designed to improve printing accuracy, optimize component durability, and maintain long-term operational quality. Empirical testing was conducted to compare the performance of the linear slider system and roller bearings in terms of dimensional accuracy, surface finish, printing speed, and mechanical durability. The results show that the linear slider system achieves dimensional accuracy of up to ±0.02 mm, better than the ±0.12 mm of the roller bearing system. The average surface roughness also decreased to 3.2 µm, compared to 5.6 µm in the roller bearing system. At high printing speeds (150 mm/s) with a layer height of 0.01 mm, the roller bearing system exhibited greater inconsistency, producing an average layer height of 0.04 mm, while the linear slider maintained high layer consistency. Additionally, the linear slider system reduced noise levels to 45 dB and significantly minimized mechanical wear, thereby reducing the need for regular maintenance. The findings of this study indicate that although the initial investment in linear slider technology is higher, it provides a significant improvement in 3D printing performance. This technology is highly relevant for industrial applications requiring high precision, process efficiency, and system reliability.