Field Of Industrial Design Research Articles

TOWARDS AN INFORMATIONAL UPCYLING: LEVERAGING COMPUTATION TO (RE)DESIGN BIOMATERIALS’ LIFE CYCLES

As the imperative to mitigate climate-altering emissions and curb natural resources exploitation intensifies, the fields of architecture and industrial design are compelled to explore alternative material practices. This imperative requires a transition from the traditional cradle-to-grave model to a cradle-to-cradle design paradigm, emphasizing upcycling, the process of repurposing waste into higher-value products. However, the definition of “value” in this context remains vague. In this paper, we posit value as an informational shift, denoting the “ecological intelligence” embedded within recycled materials compared to their prior life cycles. Amidst the concurrent ecological and digital transitions, the concept of “Informational Upcycling” (IU) emerges, bridging Circular Economy principles with the creative potential offered by digital technologies and Artificial Intelligence (AI) in architectural and technological design. IU leverages computational methods to address the complexity, non-linearity, and unpredictability inherent in reclaimed materials, which pose challenges to their reuse and upcycling, thereby questioning established design methodologies and tools.This conceptual framework is informed by a case study analysis of international critical research practices and is articulated through a comprehensive digital workflow, pointing out the enabling technologies for IU, with a specific focus on wood waste. Finally, the paper illustrates the application of this theoretical framework through the FoRWARD (Furniture Waste for Circular Design) research project, funded under MICS – NextGenEU, PE11, Spoke 4. Led by the Department of Architecture at the University of Naples “Federico II”, this initiative aims to test this approach within the Italian furniture industry, showcasing practical implementations of IU principles.

Digital technologies in additional professional education curricula as a mean for developing professional competencies in polytechnic university students

Digitalization of education plays an important role in the implementation of programs to train highly qualified personnel for the digital economy. The project “Digital departments”, implemented since 2022 at the intersection of additional education and information technologies within the framework of the national program “Digital economy of the Russian Federation”, creates a unique educational format, not only changing the organizational forms of training but also allowing the use of digital technologies as means of developing the vocational competencies of students. The article presents data on the first implementation results of the additional professional education program “Information technologies in design” at the “digital department” of Perm National Research Polytechnic University and aimed at training specialists in the field of industrial design. The digital technologies considered in the article act not only as tools in the operational activity of an industrial designer but also as means for the vocational development of special design thinking skills. The author’s teaching methods are of practical value for achieving the effect of “creativization” of design solutions developed by the program participants. It is proved that in such context, digital technologies contribute to the formation of students’ skills of creative actions carrying artistic, aesthetic, and economic value. The presented results may be of practical interest to heads of university design education, to teachers — researchers of the problems of digital transformation of engineering and graphic education, as well as methodologists and teachers­practitioners who provide training in the programs of higher and additional vocational education in the IT sphere.

Sustainability through Biomimicry: A Comprehensive Review of Bionic Design Applications.

The research objective of this paper is to examine the role of bionic design in advancing sustainable development within industrial design by outlining its theoretical framework; analyzing its applications in morphological, functional, and material aspects; identifying current challenges; and projecting future trends toward eco-integration, resource efficiency, and technological innovation. First, the definition, development history, and theoretical basis of the sustainable development of bionic design are outlined. Secondly, the application of bionic design in sustainable industrial design is analyzed in depth, including the application of morphological bionic design in exploring the combination of nature and innovation, the role of functional bionic design in integrating biological function and product innovation, and the harmonious unification of material bionic and environmental friendliness. Finally, it points out the current challenges faced by bionic design, such as barriers in design practice and market acceptance issues, and looks forward to the sustainable development trend of bionic design, including eco-integration, resource efficiency enhancement, technological innovation, integrated application, etc., to provide new ideas and impetus for the sustainable development of the industrial design field in the future.

Cognitive differences in product shape evaluation between real settings and virtual reality: case study of two-wheel electric vehicles

Product shape evaluation is an important part of new product development. In the shape design stage, design schemes are often presented through visual images. The presentation of visual images causes evaluators to form different cognitive experiences and evaluation results. In recent years, virtual reality (VR) technology has been widely used in the field of industrial design, enriching the presentation forms of design scheme images. Although VR technology has shown the potential to improve evaluators’ perception and cognitive experiences in product shape design, research comparing it with traditional methods remains relatively scattered. This study used two-wheel electric vehicles as an example to examine the difference in evaluators’ cognition of product shape in VR and a real setting (RS). First, we established a semantic scale comprising seven pairs of opposite adjectives to evaluate the shape scheme. Second, we built VR and RS evaluation environments using head-mounted displays and paper renderings, respectively. The participants evaluated the vehicle shape design in alternating viewing and underwent semi-structured interviews on cognitive experience. We analyzed the experimental and interview results based on three aspects of product shape cognition. The results demonstrated that volume cognition was significantly more accurate in VR environments. Furthermore, graphic cognition, particularly regarding shape details, differed partially between environments. VR provided a better sense of immersion and more variable viewing angles than RS. Treatment cognition did not exhibit significant differences between environments, as it depended on human experience rather than visualization. These findings suggest that VR tools are more suited for shaping design evaluations early. Selecting suitable visual presentation tools based on evaluators’ cognitive characteristics at different evaluation nodes to display design schemes is a practical, economical, and efficient strategy.

Aesthetic Design and Evaluation of Public Facilities in Railway Stations under the Background of Sustainable Development: A Case of an Information Counter at Xiong’an Railway Station

Sustainable development is an important trend for railway stations, and public facilities are essential parts of railway stations. With the sustainable development of railway station construction, the aesthetic design of public facilities is a problem that needs to be solved in the field of industrial design. In this context, this study proposed an aesthetic design and evaluation method for public facilities in railway stations. This method is constructed by combining the Kansei image and AHP (analytic hierarchy process)–FCE (fuzzy comprehensive evaluation) model, and takes the information counter at Xiong’an railway station as an example to illustrate the method. JACKTM is applied to evaluate the ergonomics of the design scheme. The results are as follows. (1) Ecological culture is an important source of Kansei images for aesthetic designs in the context of sustainable development. Kansei words, such as understated, delicate, dynamic, and others, which reflect original simplicity and original nature, are typical semantic features. Simple and smooth shapes are typical form features. (2) An aesthetic design is a system of various elements; the core content of an aesthetic design is to reflect the original aesthetic feeling. On this basis, the elements of simple, harmonious, humanized, and natural constitute the aesthetic design principle. This method is suitable for the aesthetic design and evaluation of public facilities in railway stations, which could provide valuable guidance for the aesthetic design of public facilities in railway stations under the background of sustainable development.

A novel cost-effective power supply model for industrial appliances based on triangular magnetic shunt transformer design

This paper presents a new design of a magnetic shunt transformer for use in industrial microwave generators. The proposed transformer has a triangular shape and offers several advantages over existing transformer designs, including reduced volume and maintenance costs. We provide a detailed analysis of the transformer's dimensions and an equivalent model of the three-phase high voltage power supply system. The results of this study have significant implications for the field of industrial microwave generator design and could lead to the development of more efficient and costeffective systems. The resulting model is comprised of saturable inductors capable of accounting for the non-linear phenomena of saturation. The power supply is simulated using MATLAB/Simulink with a neuro-fuzzy ANFIS approach. The results are compared to experimental validations of a single-phase reference power supply for a magnetron, validating the proposed power supply. Additionally, the simulation results demonstrate the effectiveness of the proposed design, which outperforms existing transformers in terms of volume, energy efficiency and maintenance costs.

The prediction of residual stress of welding process based on deep neural network

The welding process has been an efficient method for producing essential and complex manufacturing parts in various industrial design fields. The post-weld residual stress can have detrimental effects on welded components. Therefore, systematic studies of residual stress are essential for evaluating welding behaviors and mechanisms in welded structures. They can provide a valuable reference and optimization for addressing residual stress relief. Numerical finite element analyses based on thermal-mechanical models offer a comprehensive approach to simulate real welding, providing a reliable means to determine and quantify the distribution of residual stress based on welding parameters and material properties. Furthermore, the finite element analysis is capable of generating adequate and dependable datasets in relation to the classical experiment. However, the finite element simulation is not considered an efficient method for predicting the magnitude and distortion of residual stress due to its high computational cost. A deep learning framework with powerful automatic learning abilities could potentially be used as an alternative method to efficiently predict residual stress. The purpose of the current study is to propose an innovative modeling approach for accurately and effectively predicting residual stress. A deep network model with Convolutional Neural Network using Adam optimization is integrated with numerical finite element analyses of a single-pass beam weld in SUS304 stainless steel. Finite element analysis is used to generate extensive residual stress datasets, which are partly used to train the deep network model and partly used for model validation. The deep network model aligns closely with the finite element analysis results, with a root-mean-square error (RMSE) of less than 12, an absolute fraction of variation (R2) of greater than 0.95, a mean absolute error (MAE) of less than 6.8 and a mean absolute percentage error (MAPE) of less than 1.1. Furthermore, this study highlights the potential advantage of using a deep network model with strong memory capabilities to directly predict residual stress for identical structural components and welding processes.

Charting the Path of Technology-Integrated Competence in Industrial Design during the Era of Industry 4.0

The fusion of emerging technologies with industrial design has catalyzed a fundamental shift in the aesthetics, user experiences, and service frameworks of products in the Industry 4.0 era. Simultaneously, this convergence has heightened the demands placed on the technological integration competencies of designers. Consequently, there exists a necessity to articulate a precise developmental trajectory for proficiency in industrial design that incorporates these novel technologies. This study initiates with a bibliometric analysis to quantify the scholarly literature relevant to this research domain. Subsequently, leveraging the insights from this analysis, semi-structured interviews were conducted with 15 experts spanning the United States, Europe, South Korea, and China. Our conclusions show the following: (1) Co-word analysis and cluster analysis techniques are applied to identify 80 technologies and four technological clusters that demonstrate strong associations with industrial design in the Industry 4.0 era. (2) Employing coding techniques and thematic analysis, four distinct skill domains emerge for technology-integrated industrial design: Industrial Design Skills, Industrial Design Knowledge, Ethical Considerations in Industrial Design, and Industrial Design Industry Insight. Furthermore, a limitation that affects these competencies is identified. (3) A recommended methodology for assessing these competencies is proposed. This study represented an expansion upon existing industrial design competencies. The empirical data generated herein serves as a valuable resource for practitioners and educators within the field of industrial design. Furthermore, it provides a theoretical groundwork for future models addressing technology-infused industrial design capabilities.

Application of the particle swarm optimization algorithm-back propagation neural network algorithm introducing new parameter terms in the application field of industrial design

With the development of the modern industry, to continuously use large precision instruments, the circuits protecting method through circuit design has gradually been promoted. And this method can prevent the excessive accumulation of electric heat from causing fires. The voltage at the starting point of power transmission is constant. However, during the transportation process, some lines have low resistance values, which can generate large instantaneous currents. To address this issue, this study conducted simulation experiments on self-collected Circuit dataset based on particle swarm optimization and backpropagation neural networks. This study first introduced new parameter term learning factors into backpropagation neural networks. Then they were imported into the support vector machine, and the nonlinear variables were mapped to high plane, and the optimal hyperplane was established. Then the traditional circuit design method was improved, 40 Resistor were connected in parallel and connected to the experimental circuit in series with the rheostat. Finally, the algorithm was introduced into Circuit dataset collected in this experiment, and its protective effect on the circuit was compared with the other three algorithms. Under the protection of this design, the working times of four algorithms were 0.28, 0.42, 0.38, and 0.43 s, respectively. Their phase displacements were 0.19, 0.26, 0.36, and 0.41, respectively. The circuit design method proposed in this study can effectively address circuit faults. And the fusion algorithm can disconnect the circuit at the fastest speed and significantly reduce excitation current intensity, and it is suitable for circuit design in the field of industrial design.

ПРОЕКТНО-ОБРАЗОВАТЕЛЬНЫЙ ЭКСПЕРИМЕНТ В АРКТИЧЕСКОМ ДИЗАЙНЕ: ФОРМИРОВАНИЕ ОБЛИКА ИННОВАЦИОННОГО СНЕГОХОДНОГО ТРАНСПОРТА

The article describes a design and educational experiment that involves cooperation between developers and users of electric transportation for extreme natural and climatic conditions, scientists, students, and teachers of industrial design. The process of harmonizing the interests of different groups of participants in the dynamics of project cooperation is discussed in detail, using the development of an innovative electric-powered ski-track snowmobile as an example. The article also describes the research and educational results of the project, with a main focus on education in industrial design and the creation of products for extreme environments, such as the Arctic. Ultimately, the article aims to showcase the benefits of collaboration and education in the development of innovative products for challenging conditions. The authors propose that this case study can serve as a model for practice- and context-oriented design education. By collaborating with user-innovators, students can work with real-world challenges and constraints that they would not encounter in a studio-based learning format. The article suggests that the approach can provide valuable educational experiences for students and help prepare them for careers in industrial design and related fields

A DESIGNER'S UNDERSTANDING OF THE MAKER MOVEMENT

AbstractThe maker movement has garnered interest from many disparate fields, from engineering to business management, to behavioural science, to city planning. The reason for this interest no doubt stems from the promised potential of the maker movement to revolutionize not only product creation and manufacturing, but in extension the economy around it. This paper examines existing literature across disciplines for evidence of what the maker movement has achieved so far, with a focus on implications for the field of Industrial Design.

Dynamic three-dimensional printing: The future of bronchoscopic simulation training?

High-fidelity models are required for technical mastery of bronchoscopic procedures in the fields of anaesthesia, intensive care, surgery and respiratory medicine. Our group has created a three-dimensional (3D) airway model prototype to emulate physiological and pathological movement. Developed from the concepts of our previously described 3D printed paediatric trachea for airway management training, this model produces movements created by injection of air or saline through a side Luer Lock port. The anaesthesia and intensive care applications of the model could include bronchoscopic navigation through narrow pathologies and simulated bleeding tumours. It also has the potential to be used to practice placement of a double-lumen tube and broncho-alveolar lavage among other procedures. For surgical training, the model has high tissue realism and allows for rigid bronchoscopy. The novel and high-fidelity 3D printed airway model with dynamic pathologies represents capability to provide both generic and patient-specific advancement for all modes of anatomical representation. The prototype illustrates the potential of combining the fields of industrial design with clinical anaesthesia.

Transdisciplinarity as a Learning Challenge: Student Experiences and Outcomes in an Innovative Course on Wearable and Collaborative Robotics

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Contribution:</i> This study provides evidence for the benefit of short online courses for the transdisciplinary competence development of graduate students. It shows the significant challenges students face while learning, and provides instructional recommendations to improve students’ learning quality and professionalism. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Background:</i> Developing wearable and collaborative robots require industry collaboration and transdisciplinary competence. Industry’s involvement in long-term programs is becoming infeasible, and the nature of transdisciplinary learning has not been explored to inform instructional practices. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Intended Outcomes:</i> This study aimed to provide instructional recommendations based on an in-depth examination of a diverse group of graduate students’ learning and teamwork experiences as well as outcomes in a 5-day online transdisciplinary course. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Application Design:</i> Thirty-one graduate students of engineering, industrial design, and health fields from four countries participated in online mixed-discipline instructional sessions and teams to address a real industry challenge. A mixed-methods approach was used to examine students’ experiences and learning outcomes based on a competence measure, session participation data, student journal entries, team progress reports, team elaboration visuals, and final team presentations. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Findings:</i> Students’ knowledge of industrial design, medical considerations, ethics and standards, effective teamwork, and self-regulated learning were increased. Students’ high motivation helped them deal with the challenges involved. Daily student journals, team reports, and visual elaboration tools were found to be beneficial for determining the challenges and learning quality. The observed student progress within five days is promising, making it worthwhile to further explore the benefits of short online courses for increasing graduates’ readiness and establishing university-industry collaborations in <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">education.

Creativity: Influencing Factors on Student Innovation and Creativity Skills in the Design of Industrial Products

The objective of this research was to study the influencing factors related to the creativity and innovation skills of students in the field of industrial product design, and the population was defined as three hundred and nine students in the product design program at King Mongkut’s Institute of Technology Ladkrabang with the sample group comprising two hundred and seventy-five 1st–4th year students selected using stratified sampling. Additionally, structured interviews were used as the research tool (Cronbach’s alpha = 0.803), which was analyzed by Exploratory Factor Analysis and Confirmatory Factor Analysis. In this case, it was found from the EFA analysis that there were three components (KMO = 0.950): 1) the fundamental component of self-concept, 2) the consideration of the impact on others, and 3) the drive component that stimulates development, with the goodness of fit index as follows: χ^2 = 22.202, df = 26, relative χ^(2 )= .854, p-value = .678, RMSEA = .000, RMR = .010, GFI = .985, AGFI = .963, NFI = .994, TLI = 1.002, PGFI = .388, RFI = .987, AIC = 102.202. In this study, the composition from EFA was shown to be consistent with the CFA by having a structural equation model with a measurement model that fits well with the theoretical model of stimulating creativity and innovation. Moreover, it corresponds to the empirical data at a good level with the following values: χ^(2 )= 19.964, relative χ^(2 )= .768, p-value = .795, RMSEA = .000, GFI = .987, CFI = 1.000.&#x0D; &#x0D; Received: 9 February 2023 / Accepted: 20 April 2023 / Published: 5 May 2023

Utilization evolving prototype technologies in industrial design in the light of industry 4.0

Utilization evolving prototype technologies in industrial design in the light of industry 4.0

Features of artistic and creative training in the field of industrial design in diverse universities of modern China

The processes of modernization of the Chinese higher education system are changing the content of educational activities of educational institutions and emphasize the need to train specialists with the ability to think innovatively in industrial production. The author of this article focuses on the peculiarities of the organization of the educational process in the specialty industrial design in leading educational institutions of different profiles and the role of disciplines related to the formation of artistic abilities of students in it. The purpose of the research is to study the educational process in modern Chinese art and non-art universities and to identify those components of it that condition the training of a future specialist capable of productive professional activity in production conditions. The object of the research is the process of formation of professional knowledge and skills of future specialists in the field of industrial design in modern Chinese art and non-art universities. The subject of the study is a characteristic of the ratio of artistic and creative disciplines and other subjects during the preparation of students of the specialty "Industrial Design". The author of the work notes that educational institutions in China consider the ability to create sketches in different techniques, materials and stylistics as basic for future specialists, but drawing, composition and color theory are not taught in all universities as independent disciplines. At the same time, they are necessarily present in creative research projects as a mandatory component.

A framework and prototype system in support of workflow collaboration and knowledge mining for manufacturing value chains

AbstractIn the field of industrial design and manufacture, computer‐supported collaborative work (CSCW) systems have been widely deployed for better teamwork. However, the traditional CSCW systems have a main drawback in effectively processing and utilising knowledge across different industrial workflows. To bridge this gap, we propose a framework for collaboration between members across the manufacturing value chains to increase efficiency and reduce duplication in team cooperation. The framework contains three parts, namely workflow, knowledge mining, and services. Specifically, the workflow part provides a collaborative environment for multiple users. The knowledge mining part, as the core of the framework, extracts in‐context knowledge from workflows. The part of services can interact with users with different users in each workflow, including information recommendation they need in the future or information retrieval they want to know from other workflows. Furthermore, we develop a prototype system for supporting multiple value chains collaboration to verify the effectiveness and efficiency of the framework.

Study of Relationship between Curriculum Components and Learning Achievements

The importance of core courses in professional programs at universities and their impact on the final graduation projects was investigated in the field of industrial design, focusing on Model Making, Rendering Techniques, and Design Aesthetics. The courses exhibiting the strongest correlation with the graduation project’s grades were determined. Through an analysis of secondary data from these courses and graduation projects, the subject most relevant to the presentation of the final learning outcomes was identified. The research findings provide a foundation for strengthening the curriculum, adjusting course planning, and enhancing students’ professional development. The study results offer valuable insights into the effectiveness of core courses in shaping the final learning outcomes and can guide universities in developing improved curricula to enhance students’ professional growth.

ИССЛЕДОВАНИЕ РАЗВИТИЯ РЫНКА УСЛУГ СФЕРЫ ДИЗАЙНА: РЕГИОНАЛЬНО-ИННОВАЦИОННЫЙ АСПЕКТ

The development of the service sector in the segment of small and medium-sized businesses plays an important role in modern conditions of economic development. At the same time, among the services, the most innovative and developing type of them is design, the significance and versatility of which is undeniable. Design is inextricably linked with a number of industry varieties, primarily with the so-called “creative industries” and develops in parallel with the spheres of architecture, construction, information technology and telecommunications systems. Within the framework of the study, attention is paid to the innovative field of industrial design abroad, its priority areas are determined. The capacity of the design services market in Russia, the factors of its prospective development against the background of overcoming sanctions threats are determined. Statistical data on the development of sub-sectors of this sphere in the Kirov region are presented.

Review of Industrial Design Literature based on Web of Science Database:1925-2021

As a product of the industrial age, industrial design has gradually become more diversified and more multi-disciplinary, and it is now catered to multi-demands. It has gradually become an indispensable part of all industries as well as in people’s daily life along with the prosperity and development of material culture and the progress of science and technology. However, there is a lack of comprehensive and quantitative research in this field. In this study, the Bibliometrix and Biblioshiny R packages are used to analyze the development history and current situation of 2535 industrial design papers in the Web of Science core collection database from 1925 to 2021 to reveal their research hotspots and predict future development trends. The results show that: (1) In the past 96 years, the number of published papers and annual average citations of industrial design continue to increase. (2) 83 countries/regions have scientific research output in the field of industrial design research, and developed countries have strong research strength in this field. China, the United States and Italy are the top three countries in terms of literature output. In addition, among the 6625 authors, the top three authors were WANG Y, WANG YF and WU Y. (3) The top 3 keywords in the field of industrial design are “system/systems”, “optimization”, and “performance”. The research topic can be divided into three stages. In the first stage (from 1925 to 2003), scholars explored industrial design from the two aspects of “performance” and “simulation”. In the second stage (2004-2017), the research content of industrial design is gradually enriched, mainly in the aspects of “model”, “optimization”, “ dynamics”, “innovation” and “technology”. The third phase (2018-2021) focuses on “system”, “optimization”, “ behavior” and “innovation”. Overall, “optimization” and “innovation” have been among the core issues in the field of industrial design from 1925 to 2021.