Industrial Product Design Research Articles

Research on Visual Design of Industrial Product Based on Deep Learning Algorithm

In the context of the upgrading of China's manufacturing industry, the design of industrial products is particularly important. Deep learning can be involved in automotive design activities through a variety of functions. We can use deep learning technology to design the appearance of cars through steps such as establishing a database, extracting feature values, drawing three-dimensional curves, unifying model dimensions, and analyzing errors. In this paper, the appropriate deep learning algorithm is selected through experiments to build a car image generation model based on StyleGAN2. The car image is generated by StyleGAN2 to achieve the purpose of designing car styling, and the full label database and the generation model are combined to form a car styling design tool based on deep learning, and the usability of the tool is tested through actual use. The new tool uses StyleGAN2 to generate car images for the purpose of designing car styling. The conclusion is that the function of artificial intelligence assisting designers to design automobile styling can be realized, which provides a new path for the styling research and development of other products.

A review: Eco-Conscious Design: Incorporating Biodegradable Materials in Modern Product Development

The study paper investigates the rapidly evolving field of sustainable design and the increasing acceptance of biodegradable materials in the method of developing products. This research explores the movement towards environmentally conscious designs in light of increased environmental concerns and increasing customer demand for goods that are sustainable. This study addresses a range of biodegradable materials, examining their corresponding characteristics and investigating their integration into product design in various industries. This research discusses some of the challenges encountered in the purchase, production, and promotion of biodegradable products, all the while assuring their practicality and physical appeal. Also, the article examines the environmental consequences linked to these materials, drawing comparisons with traditional non-biodegradable alternatives. This study utilizes a mixture of theoretical analysis and case studies to offer useful insight into efficient techniques for implementing materials that decompose into product design. The research places a strong focus on achieving an equilibrium between ecological responsibility, practicality, and appealing to consumers.

Ingredients, structure and reconstitution properties of instant powder foods and the potential for healthy product development: a comprehensive review.

Instant foods are widely presented in powder forms across different food segments, which potentially can be formulated with functional or beneficial compounds to provide health benefits. Many reconstituted instant powder foods form colloidal suspensions with complex structures. However, designing instant powder food could be challenging due to the structural complexity and high flexibility in formulation. This review proposed a new classification method for instant powder foods according to the solubility of ingredients and the structure of the reconstituted products. Instant powder foods containing insoluble ingredients are discussed. It summarised challenges and current advances in powder treatments, reconstitution improvement, and influences on food texture and structure to facilitate product design in related industries. The characteristics and incorporation of the main ingredients and ingredients with health benefits in product development were reviewed. Different products vary significantly in the ratios of macronutrients. The macronutrients have limited solubility in water. After being reconstituted by water, the insoluble components are dispersed and swell to form colloidal dispersions with complex structures and textures. Soluble components, which dissolve in the continuous phase, may facilitate the dispersing process or influence the solution environment. The structure of reconstituted products and destabilising factors are discussed. Both particle and molecular structuring strategies have been developed to improve wettability and prevent the formation of lumps and, therefore, to improve reconstitution properties. Various types of instant food have been developed based on healthy or functional ingredients and exhibit positive effects on the prevention of non-communicable diseases and overall health. Less processed materials and by-products are often chosen to enhance the contents of dietary fibre and phenolic compounds. The enrichment of phenolic compounds, dietary fibres and/or probiotics tend to be simultaneous in plant-based products. The process of the ingredients and the formulation of products must be tailored to design the desired structure and to improve the reconstitution property.

Research on Morphological Innovation Design of Industrial Products Based on Combinatorial Genetic Algorithm

Abstract This paper applies the combinatorial genetic algorithm to the design of industrial product forms to achieve the effect of industrial product form design innovation. The standard genetic algorithm is applied to industrial product design, and the optimal order of genetic optimization is constructed through continuous population genetics, combined with the minimum value of the objective function to construct the constraints of the innovative design of industrial products. Using the method of combinatorial optimization to integrate different elements in industrial product design, a coding method based on rows and columns is proposed for the set coverage problem of design elements. Analyzing the user’s preference for industrial product form design allows us to explore the demand direction of industrial product innovation design and formulate a suitable innovation design scheme. The results show that the consensus satisfaction of hair dryer form design in genetic optimization 2nd and 9th are higher than 0.8. When users are stimulated by like and dislike sample pictures, there is no significant difference in the average response time, p=0.337>0.05, and the difference in the average response time of the users is more significant p=0.020<0.05 when they are confronted with the preferred design shape.

Design for circularity in manufacturing industries–operationalisation and decision support

Achieving a more circular economy can be an important contributor to sustainable development. The successful implementation at the industrial level requires the development of circular products, services and business models. This paper addresses the compelling need for industrial product development to consider the entire life cycle of products from raw material extraction to the end of life to initiate and evaluate circular economy improvements such as lifetime extension or high-quality recycling. The actual implementation of circular economy in industrial product design processes hasn't yet been extensively researched. This paper operationalises a comprehensive design for circularity by conceptualising a decision support method for the industrial product development process based on literature analysis, decision matrix methodology, and expert evaluation. Results highlight the interplay of circular business models, ecodesign approaches, and product life cycle intensities and shape the basis for technical circular design principles and metrics as well as advanced implementation-oriented research in the field.

Research on the construction of industrial product design and service platform based on KANO-AHP model

Abstract This paper utilizes the KANO model to establish the nonlinear relationship between the degree of availability of requirements and user satisfaction and determines the importance of customer requirements through AHP analysis. An industrial product design and service platform based on the KANO-AHP model is then constructed, and the key factors for the success of industrial product design are derived by unifying and categorizing the quality characteristics of the products or services, and the management strategies for the key factors are explored. To verify the effectiveness of the constructed platform, user requirements and performance are tested and analyzed. The results show that in the simulation of the number of users is less than 8000, the average time for the server side to respond to requests is basically unchanged, maintained at 10ms, all requests can be processed in time, and the modular task reorganization and allocation method used by the platform convergence of the number of iterations fluctuates less, with the amplitude of the interval in [4.06, 25.09]. The industrial product design and service platform based on this research is capable of meeting the customer’s demands for product services.

Virtual reality and its impact on the industrial product

The current study investigates the impact of virtual reality technology on industrial product design. The focus of this study is on the development of industrial products that utilize virtual reality technology, specifically examining the effects of this technology on the visual and design aspects of these products. The aim is to continuously improve the functionality of industrial products and enhance the user experience through virtual reality integration.The first chapter of the study addresses the research problem, which centers around exploring the technological influence of virtual reality used in industrial products and understanding the functionalities it brings to the design process. Virtual reality technology facilitates the activation of user's mental imagery and imagination, thereby highlighting the technological transformation in these products. Based on this, the study formulates the research problem that raises several questions, primarily concerning the extent to which virtual reality technology enhances the functionalities of industrial products.The study's significance lies in uncovering the various applications of virtual reality technology in industrial products, leading to improvements in design, performance, and user experience. Additionally, the study aims to comprehend the impact of virtual reality on industrial product design to enhance their quality and alignment with user needs and expectations.Furthermore, the chapter delves into defining the terms and concepts relevant to the research scope, contributing to establishing the theoretical framework for the study.To achieve the research objectives, the researcher collected the main focal points for analysis based on the theoretical framework, which consisted of three main areas. The first area explored the concept of virtual reality technology in industrial products, identifying various types of this technology and its diverse applications. The second area investigated the effectiveness of functional performance and user interaction with virtual reality products. Finally, the third area reviewed the impact of virtual reality technology on the functional performance and structural composition of industrial products, leading to the identification of key indicators derived from the theoretical framework.In the third chapter, the research procedures and sample selection method were elucidated. The sample was deliberately chosen in alignment with the research objectives and methodology. The descriptive-analytical approach was adopted for the case study, considering its suitability for the research topic. The sample consisted of electronic computer manufacturing companies.Moving on to the fourth chapter, it presented the findings and conclusions drawn by the researcher. Subsequently, the chapter included recommendations, proposals, and a list of references used in the study

Social life cycle assessment for industrial product development: A comprehensive review and analysis

The sustainable development goals outlined in the 2030 Agenda encompass a range of global challenges aimed at promoting prosperity and security for both current and future generations. Within this context, the Social Life Cycle Assessment emerges as a valuable tool for assessing the socioeconomic impact assessment associated with the life cycle of industrial products. Despite the presence of a methodological framework with a structured process, the implementation of the Social Life Cycle Assessment within the industrial domain is hampered by the lack of precise indicators, context-specific databases, limited case studies, and the dynamic characteristics inherent in social data. This study conducts a comprehensive review of the scientific literature and examines methodologies, databases, and software, focusing specifically on its applicability in the design and development of industrial products. The main objective is to evaluate the current research effort, identify available technical and digital resources for implementation in industrial companies, and outline key areas of work and specific challenges related to the social dimension of life cycle assessment. The results emphasize the priority of improving indicator frameworks within specific impact categories and developing novel metrics to mitigate uncertainty in decision-making processes. Furthermore, it underscores the importance of transitioning to standardized application procedures within industrial product sectors, thus ensuring methodological consistency and improving the reliability of assessments.

Strategy of Sustainability Algorithm in Industrial Product Design Using Multi-Objective Genetic Algorithm

Strategy of Sustainability Algorithm in Industrial Product Design Using Multi-Objective Genetic Algorithm

Optimization of Visual Design of Industrial Products Based on 3D Modeling

Optimization of Visual Design of Industrial Products Based on 3D Modeling

Effect of the crack layer theory parameters on the discontinuous slow crack growth of high density polyethylene under fatigue loading

For engineering thermoplastics, particularly high density polyethylene (HDPE), the crack layer (CL) theory is an effective proposition for modeling slow crack growth and predicting their lifetime. Nevertheless, the associated excessive input parameters needed in its implementation sets a difficulty for its use. Therefore, an understanding of the role of each parameter and how they affect the CL growth is needed. The effect of the parameters has been studied in the past, however, under creep conditions only. Their effects under other loading conditions, e.g., fatigue, and geometries, e.g., compact tension (CT) specimen, is still unclear. For instance, increasing the natural drawing ratio λ was found to non-linearly reduce failure time tf, whereas a rise in the drawing stress σdr increased tf which correlates logarithmically with the loading frequency f. Furthermore, tf was found to increase with the transformation energy γtr, specimen thickness B, plane stain elastic modulus E′, drawing stress σdr, characteristic time t∗, and the specific fracture energy γ0. Therefore, outcomes of this work extend the applicability of the CL theory in the design and lifetime prediction of various industrial products within oil and gas, nuclear, automotive, and aerospace.

Nomographs for Polymeric Material Selection for Environmental Conscious Design of Industrial Products

Environmentally-conscious product design using Life Cycle Assessment (LCA) deserves the utmost attention to save and sustain our planet’s lives, flora and fauna. The choice of materials during the design stage needs to address environmental concerns from their sourcing to production and ultimately going up to the disposal stage. A good majority of industrial products are still not designed, focusing the environmental concerns. The inclusion and practice of the LCA approach during product designing are in a nascent stage not only in India but even over the rest of the world. Nowadays, polymers share a major chunk of the volume of goods produced worldwide and thus have a significant effect on the environment. The available design books or nomographs guide the selection of materials considering several criteria but not considering the related environmental issues. This paper attempts to bridge this gap only for the selection of polymeric materials by providing some easily interpretable and visually ready reckoners in the form of 3-D nomographs. These 3-D nomographs, graphical representations developed using the Solidworks software, echo the material’s Environmental Impact (EI) potential on an axis with some two material properties (e.g., tensile strength and density) on the other two axes. 3-D nomographs are suitably transformed into 2-D nomographs without the loss of any information. EIs on these nomographs were computed using SimaPro software. The potential EI of any product and the overall environmental burden due to them can be significantly reduced, and more so when they are mass-produced, by selecting the right materials using these nomographs. Such an approach will help in fulfilling long-term sustainable development goals of society and the globe.

Study on the aesthetic evaluation method of applying symmetry analysis in industrial product styling design

Abstract The evaluation of product styling design is transformed into a complex nonlinear solution problem by symmetry analysis in this paper. The equilibrium matrix decomposition evaluation system calculates the stored matrix singular values in product styling design and proves that symmetry can be obtained from the stress matrix row vector. The regression algorithm is used to process multiple industrial product design objectives, and each design element in product styling is coded to obtain the fitness evaluation of individual industrial products. It is found that the satisfaction score in product styling design is 97.4, the weight index of logo novelty element is up to 7, and the regression coefficient of plane shape is 0.269, to improve the scientific and feasibility of aesthetic evaluation of industrial product styling design.

Analysis of interaction experience of sculpture product design based on perceptual machine model

Abstract In this paper, the perceptual machine model is applied to analyze the interaction experience of sculpture product design to promote the innovative development of the cultural product design industry. In the design process, product information is passed layer by layer through a multilayer perceptual machine to adjust the magnitude of the weight vector values and obtain the optimal weight vector for sculpture product design. Using the perceptual machine training algorithm, the adjusted weights of the output layer network are calculated to clarify the value and status of perceptual factors in product design, thus proposing an interactive integration route for sculpture product design. A sculpture design product is used as an example to show the effect of the perceptual machine model on enhancing the interaction experience of the sculpture product design. The results show that the sculpture product is at level VI, the average weight of its frontal profile is e=0.46494, and the absolute value of the error between the modeling imagery result and the expected result is less than 0.1, which is within a reasonable error range. It can be seen that the perceptual machine model can transform the sculpture product design principles into user experience elements, which is conducive to the experiential development of sculpture product interaction design.

Endotracheal Cuff System Performance Enhancement through Product Design and Development Methodologies

Rapid prototyping (RP) is a popular method for product development and design in medical industries. Endotracheal tube (ETT) incubation is a common problem when using medical equipment. Among the difficulties that surgeons face during surgical procedures are the misinsertion of an endotracheal tube into the oesophagus and extubation due to the patient's limited mobility. The aim of this work is to design an innovative endotracheal tube holding model. The survey was carried out in order to identify the most common ETT problems. As a result, quality functional deployment and product design and development methodologies were utilised to select the design for all of the ideas, which were designed based on the demands indicated by the consumers. The concept score matrix was used to evaluate the designs. As a result, concept A is selected as the final design. The overall score for each concept was calculated to discover which concept has the highest rating. Based on the results of the concept scoring and concept screening, concept A is the most likely to be produced. The concept meets the most demanding needs of the users. The selected design was then created on the Fused Deposition Modelling (FDM) machine.

Symbolic semantic design of industrial products based on Big data technology

Abstract Exploring the symbolic semantic design path of industrial products is to make industrial products more compatible with the diverse emotional needs of consumers. In this paper, starting from the sentiment analysis model, the PLSA-FSVM sentiment analysis method is constructed using a probabilistic latent potential semantic analysis method and support vector machine based on the Fisher kernel. The method’s validity is verified for comparative experiments and sentiment word frequency analysis evaluation. From the comparison experiments, the ten-fold cross-average precision and recall of PLSA-FSVM were 89.18% and 88.35%, respectively, 4.15% and 2.59% higher than PLSA-SVM. From the sentiment word frequency analysis, the percentages of sentiment words such as atmosphere, practical, and worthy are 23.08%, 22.59%, and 24.72%, respectively. This shows that the PLSA-FSVM sentiment analysis method can effectively realize the sentiment analysis of industrial product evaluation, promote the symbolic semantic design to be more in line with consumers’ emotional needs, and then realize the symbolic design of industrial products to reach the meaning with shape and enjoy with meaning.

Analysis of the application of computer-aided design in industrial product design based on

Abstract The purpose of exploring the application of computer-aided design technology in industrial product design is to realize the diversification of industrial product design and meet the personalized customization needs of customers. Starting from computer-aided technology, this paper illustrates the optimization of CAD design by using a genetic algorithm and constructs a bipolar progressive interactive genetic algorithm using bipolar progressive ranking and fuzzy fitness jointly. Genetic algorithm genotypes in CAD process product design are defined, and a comparative evaluation experimental analysis of industrial product design is performed with the AR-IGA algorithm. Regarding the number of iterations, the average number of iterations for the AR-IGA algorithm to complete the color-matching design of process products among ten testers was 9.34, which was 36.42% lower than that of the TIGA algorithm. The average evaluation elapsed time of the AR-IGA algorithm was 246.9s, which was 24.12% less than the average evaluation elapsed time of the TIGA algorithm. This shows that computer-aided technology optimized by genetic algorithms can effectively improve the efficiency of industrial product design and satisfy more customers to realize personalized design simultaneously.

Data-Driven Framework toward Accurate Prediction of Interfacial Thermal Resistance in Particulate-Filled Composites.

The interfacial thermal resistance (ITR) inside the particulate-filled polymer composite is a bottleneck for improving the thermal conductivity (TC) of the material. Getting full knowledge of the ITR is crucial to the material design as well as to a faithful prediction of TC of the composite. However, a method fully taking into account the local circumstances inside the composite is yet to be developed to precisely characterize the ITR. Here, we propose a comprehensive framework combining high-throughput numerical simulations, machine learning and optimization algorithms, and experiments, which is demonstrated to be robust for the accurate determination of ITRs inside the particulate-filled composites. The strategy extracts as much information as possible about the structure and heat transfer characteristics of the composite based on simple experiments, which lays the foundation for the method to be effective. We show that the polymer-filler ITRs and the effective filler-filler contact ITRs predicted with the method faithfully represent the true characteristics inside the composite materials; they also provide the exact effective parameters, which cannot be obtained from experiments, for accurate numerical prediction of TCs of composite materials with high efficiency. As a result, the framework not only provides a robust tool for accurate characterization of ITRs inside composites but also paves the way for virtual high-throughput formula screening of thermally conductive composite materials that could be used in industrial product design.

Application of CAD Virtual Simulation Technology in Bionic Design of Complex Structure Industrial Products

Application of CAD Virtual Simulation Technology in Bionic Design of Complex Structure Industrial Products

Retracted: Research on Application of 3D Simulation Technology in Industrial Product Design Technology

Retracted: Research on Application of 3D Simulation Technology in Industrial Product Design Technology