Industrial Product Design Research Articles

Integration of functionality in industrial product design between smart and traditional control

يتناول البحث الموسوم (تكاملية الأداء الوظيفي في تصميم المنتج الصناعي ما بين التحكم الذكي والتقليدي) دراسة أثر التقنيات الرقمية على المنتجات الصناعية وعملية التكامل بين منظومات المنتجات الصناعية من خلال تداخل واشتراك وظيفة كل منظومة مع المنظومات الأخرى، فهو يهدف الى إيجاد مقارنة في ادائية المنتج الصناعي ما بين التحكم الذكي والتقليدي. واشتملت حدود الدراسة على المنتجات الصناعية ذات التحكم التقليدي والتحكم الذكي والمنتجة من شركة LG في عام 2019، وتضمن الإطار النظري والذي اشتمل على ثلاثة مباحث، تناول الأول منها الأداء الوظيفي للمنتج الصناعي، فيما تناول المبحث الثاني مفهوم التحكم الذكي والتقليدي، وتناول المبحث الثالث تأثير الرقمنه على تكاملية الأداء الوظيفي.اما إجراءات البحث ومنهجيته، فقد اعتمد المنهج الوصفي في وصف وتحليل نماذج العينة. فضلا عن وصف وتحليل العينة بنماذجها الثلاثة حسب استمارة محاور التحليل التي وضعت بناءا على ما أفرزته مؤشرات الإطار النظري. وكانت أبرز النتائج والاستنتاجات التي تم التوصل اليها:1- حقق التطور الوظيفي اشباع لحاجات المستخدم وسد الحاجة الإنسانية بنسبة (100%) في جميع النماذج.2- ظهر التكامل التقني في تنفيذ آلية الوظيفة متحققا بنسبة (50%) تمثلت في النماذج (4،2) فيما لم تتحقق بنسبة (50%) تمثلت في النماذج (3،1).

Research on Service Quality for China’s Ceramic Product Design Industry

As a part of the service industry, product design practitioners should possess an understanding of the multifaceted factors and solutions that contribute to delivering exceptional service quality. However, related research on the service quality factors and solutions for China’s ceramic product design industry is still an important research gap. In view of this, an integrated approach based on multi-criteria decision making (MCDM), combining the fuzzy analytic hierarchy process (FAHP) and the measurement of alternatives and ranking according to compromise solution (MARCOS), was proposed in this research to analyse and evaluate the service quality factors and solutions for China’s ceramic product design industry. Initially, the FAHP method determined the significance of the service quality dimensions and indicators. Subsequently, the MARCOS method ranked the alternatives based on their performance against these criteria. This research focuses on the growing subject of service quality in China’s ceramic product design industry. The proposed model identifies essential service quality factors and solutions for China’s ceramic product design industry. The findings of this study may assist ceramic product design practitioners in China in making strategic decisions to provide excellent service quality.

Innovation Inspired by Nature: Applications of Biomimicry in Engineering Design.

Sustainable development is increasingly driving the trend toward the application of biomimicry as a strategy to generate environmentally friendly solutions in the design of industrial products. Nature-inspired design can contribute to the achievement of the Sustainable Development Goals by improving efficiency and minimizing the environmental impact of each design. This research conducted an analysis of available biomimetic knowledge, highlighting the most applied tools and methodologies in each industrial sector. The primary objective was to identify sectors that have experienced greater adoption of biomimicry and those where its application is still in its early stages. Additionally, by applying the available procedures and tools to a selected case study (technologies in marine environments), the advantages and challenges of the methodologies and procedures were determined, along with potential gaps and future research directions necessary for widespread implementation of biomimetics in the industry. These results provide a comprehensive approach to biomimicry applied to more sustainable practices in product design and development.

STUDY THE ACHIEVEMENT OF INTEGRATED PREPARATION FOR COOPERATIVE EDUCATION, FACULTY OF ARCHITECTURE AND DESIGN, RAJAMANGALA UNIVERSITY OF TECHNOLOGY PHRA NAKHON

In this research, there are the outcomes of integrated and to assess the achievement for renew the design a teaching model in the subject of preparation for integrated cooperative education, among 3rd-year Industrial Product Design and Department of Packaging and Printing Design major students and 4th-year Architecture major students at Faculty of Architecture and Design, RMUTP, who participated in the cooperative education preparation course. Methods for conducting research involved studying cooperative education preparation issues, followed by an analysis to determine the appropriateness value and the components necessary for creating an appropriate teaching model. This was done using questionnaires and interviews from 5 teachers and staff members at Faculty of Architecture and Design, RMUTP, and assessing the achievement of preparing for integrated cooperative education for 50 people using the 5-level estimation scale technique. The results indicated that the study of cooperative education preparation issues, involving a total of years 3rd student 63 participants, was at a high level, average (x̄ = 3.97, SD = 0.72). As for the format of teaching in the subject of preparation for integrated cooperative education by 5 design experts was overall at the highest level, average (x̄ = 4.83, SD = 0.26) and satisfaction evaluation results of personnel staff, establishment owners or mentors who supervised or worked with 50 cooperative education students from each establishment were overall at a high level, average (x̄ = 4.20, SD = 0.63).

A Study on Evaluating Criteria for Electric Bicycle Purchase using ISM and ANP Methods

This study explores the increasingly complex nature of product design in customer-oriented industries due to the diversification and complexity of customer demands. The multiplicity of customer expectations complicates product design decisions. The aim of this study is to deeply understand the attributes of customer demand when purchasing electric bicycles, and to integrate Interpretive Structural Modelling (ISM) and Analytic Network Process (ANP) to assess the impact and interrelationships of these attributes. ISM is used to calculate the relationships between attributes, while ANP ensures the consistency and accuracy of evaluation weights to identify the priority improvement sequence most valued by customers. The study identifies five major evaluation criteria for electric bicycles: functionality, price and brand perception, practicality and performance, aesthetics, and safety. Among these criteria, safety emerges as the most prominent concern for customers, focusing primarily on the reliability of braking systems, antiskid tires, and nighttime riding lights. Following safety, practicality and performance considerations include factors such as range, charging time, vehicle weight, maximum speed, and climbing capability. Functionality ranks third in customer preferences, highlighting the importance of diverse features such as electric assist modes, multi-speed transmissions, and suspension systems. In terms of price and brand perception, consumers not only consider price competitiveness and brand reputation but also place significant emphasis on the completeness of after-sales service and warranty terms. Lastly, while aesthetics holds a relatively lower weight in overall criteria, consumer interest in exterior design and color coordination directly impacts product marketability and consumer purchasing decisions. In conclusion, these research findings provide crucial market insights to manufacturers, guiding product design directions and adjustments in market strategies to enhance product competitiveness and overall customer satisfaction,

Life cycle assessment of plastic and paper carrying bags in the Philippines

Plastic waste mismanagement is a pertinent environmental concern among developing countries. The Philippines has a significant plastic waste concern as the country is among the top emitters of plastic wastes to the ocean. To manage plastic wastes, the government enacted policies. resulting to paper carrying bags becoming a prominent alternative. Switching from one carrying bag to another, however, requires clear assessment on the environmental implications as environmental trade-offs can occur. To provide the needed clarity, this study assessed the environmental implications of plastic and paper carrying bags through a life cycle assessment (LCA) approach. This study developed a model with the novelty of a) supply chain integration, b) augmented Environmental Design of Industrial Products (EDIP) impact assessment, and c) inventory categorization. From the augmented EDIP assessment, paper carrying bags had a single score impact of 0.73 whereas plastic carrying bags had a single score of 0.63. In terms of geographic emissions, this work revealed that paper carrying bags emit 50.28% of its emissions outside the country whereas plastic carrying bag emit 34.72%. Policy recommendations derived from the findings are provided in this paper. Recommendations include carbon capture and storage, green procurement, circular management, and waste management system improvement. Policy makers may infer from the recommendations in managing environmental issues from the use of carrying bags.

Traveling food tourism with children industry: motivation, involvement, experience value and visit intention

Abstract The traveling food tourism with children industry has become a rapidly developing tourism market after the epidemic. Parents, children, and sightseeing factories have all benefited positively from their shared family travel experiences. Based on the value co-creation theory, this study analyzes literature related to traveling with children from a group perspective, selects variables and dimensions based on the characteristics of traveling with children in China, and investigate the relationships among motivation, involvement, experience value and visit intention in the context of the food tourism industry. Analysis of data from 578 respondents indicates that the proposed model fits the data well. The results indicate that the motivation of traveling with children does not have a direct positive impact on visit intention, but through tourism involvement and experience value, it can indirectly affect the visit intention of tourists with children. Empirical analysis is expected to contribute to the study on the experience theory of traveling with children. At the same time, targeted guidance and suggestions can be provided for product design, marketing strategy, and experience management in the food tourism industry.

Generative Intelligence Techniques in Industrial Product Design

Generative Intelligence Techniques in Industrial Product Design

The Systems of Mathematical Functions as Input Strategies for Contemporary Industrial Product Design

The Systems of Mathematical Functions as Input Strategies for Contemporary Industrial Product Design

Application of Deep Learning Algorithm in Visual Optimization of Industrial Design

In order to understand the application of degree learning algorithms in industrial design visual optimization, the author proposes an application research based on deep learning algorithms in industrial design visual optimization. The author first starts with the basic principles of deep learning algorithms and provides a detailed explanation of the basic structure of the single-layer network of deep learning algorithms, as well as the restricted Boltzmann machine and its training process. Finally, an example of the performance improvement brought by the application of deep learning technology in handwritten digit recognition was given through an automatic encoder, and a simple summary of deep learning technology was made. Secondly, the NCI matching algorithm is used to match industrial design products and reconstruct the point cloud of industrial products to accurately detect their features. On this basis, deep learning algorithms are applied to construct a visual optimization model for industrial design, determine the output format of the model scene and the output situation of industrial design, and process the model according to the changing characteristics of the industrial design model to comprehensively edit the data of the model. Finally, targeted optimization of the industrial design visual optimization model is carried out based on the technical characteristics of deep learning algorithms, in order to complete the industrial design visual optimization. The experimental comparison results show that the industrial design visual optimization method optimized in this design has higher visual clarity than the traditional industrial design method, reaching 98%. Greatly improves the visual clarity of industrial design.

Effect of thermal exposure on microstructure and mechanical properties of Ti65 high-temperature titanium alloy deposited by laser direct energy deposition

Industrial design and new product development benefit from the adaptable processing approach offered by laser direct energy deposition (LDED). In this paper, a novel Ti65 alloy was successfully prepared by LDED and subjected to thermal exposure at 650 °C and 750 °C, respectively. The results showed that the as-deposited microstructure varies in different regions due to the cooling rate. Silicide precipitation was observed at the α/β interface, and a coherent α2 phase was generated in the matrix after thermal exposure at 650 °C. Two-scale silicides were observed at the α/β interface and inside the α laths after thermal exposure at 750 °C. The as-deposited ultimate tensile strength (UTS) was 1058 MPa and 690 MPa at room temperature and 650 °C, respectively. After thermal exposure at 650 °C, the room temperature UTS was 1135 MPa, and the elongation (EL) at 650 °C was 27.5 %. After thermal exposure at 750 °C, the room temperature EL was 11.05 %, and both UTS and EL at 650 °C showed a decrease. The quantitative analysis showed that silicide precipitation was primarily responsible for the strengthening mechanism of the specimens thermally exposed at 650 °C at room temperature. The results provide scientific data for the manufacture of Ti65 alloy with excellent mechanical properties, laying the foundation for its application in aerospace.

THE ENVIRONMENTAL DIMENSION IN NEW PRODUCTS DESIGN – EDUCATIONAL TRAINING IN INDUSTRIAL DESIGN

Industrial design (product) was one of the most impacted professions by the changes imposed by the insertion of the environmental issue in the project. Initially contemplated in the so-called eco-design, industrial design activities underwent adjustments and improvements. These result in an expanded vision, contemplating the modern vision of sustainability, in its economic, social, and environmental dimensions. The teaching and academic applications of design in the research and extension spheres were consequently altered, demanding complementary visions throughout the process, including the PPCs of the courses and the qualification needs of the faculty. The article presents models of project processes and reflects on the need to insert sustainability issues in project teaching.

Frugal Engineering

Abstract In recent decades, engineers have been studying examples from biology to inform industrial product designs. Biology has had millions of years to find elegant solutions under severe resource constraints, so it is prudent to examine natural systems to look for concepts to adapt for human purposes for resiliency. The common thread for both bio-inspired design and social enterprises is frugality—maximizing the use of available capital resources while delivering effective outcomes. For engineers at work in the 21st century, an emphasis on frugal engineering could provide multiple advantages.

The Application and Reflection of Cradle to Cradle in Industrial Design

In the development of the past few centuries, global design and production have adopted methods of using new resources and discarding old resources. However, this approach has led to crises of global pollution, ecosystem destruction, and scarcity of natural resources. Therefore, this article delves into the concept, application methods, and role of Cradle to Cradle, verifying its importance in industrial design products. The specific application of Cradle to Cradle in industrial design was demonstrated through practical cases, and its actual effect in the industrial design process was verified. The effectiveness of Cradle to Cradle in industrial design has been verified through practical cases, demonstrating the feasibility and sustainability of this concept. Finally, it is concluded that integrating the concept of "cradle to cradle" into industrial design can effectively promote sustainable environmental development, promote the recycling and reuse of resources, and create a better living environment for people. At the same time, this design method also brings economic benefits and market competitiveness to enterprises.

QFD-based hybrid neutrosophic MCDM approach with Six Sigma evaluation for sustainable product design in Industry 4.0

PurposeThe concept of sustainable product design (SPD) is gaining significant attention in recent research. However, due to inherent uncertainties associated with new product development and incorporation of multiple qualitative and quantitative criteria; SPD is a complex and challenging task. The purpose of this paper is to introduce a novel approach by integrating quality function deployment (QFD), multi-criteria decision making (MCDM) technique and Six Sigma evaluation for facilitating SPD in the context of Industry 4.0.Design/methodology/approachThe customer requirements are evaluated through the neutrosophic-decision-making trial and evaluation laboratory-analytic network process (DEMATEL-ANP)-based approach followed by utilizing QFD matrix to estimate the weights of the engineering characteristics (EC). The Six Sigma method is then employed to evaluate the alternatives’ design based on the ECs’ values.FindingsThe effectiveness of the suggested approach is illustrated through an example. The result indicates that utilization of the neutrosophic MCDM technique with integration of Six Sigma methodology provides a simple, effective and computationally inexpensive method for SPD.Practical implicationsThe proposed approach is helpful in upstream evaluation of the product design with limited experimental/numerical data, maintaining a strong competitive position in the market and enhancing customer satisfaction.Originality/valueThis work provides a novel approach to objectively quantify performance of SPD under the paradigm of Industry 4.0 using the integration of QFD-based hybrid MCDM with Six Sigma method.

Tantangan dan Kompetensi Kunci Desainer Produk Industri dalam Membangun Masa Depan Sepeda Motor Listrik Nasional di Era Teknologi 4.0

This research delves into the development of electric motorcycles in Indonesia, examining the historical progression, market potential, and consumer trends among millennials, Gen Z, and Gen Y, while also addressing the competencies industrial product designers require in navigating the challenges posed by the Technology 4.0 disruption era. The study aims to furnish a thorough understanding of the electric motorcycle landscape in Indonesia, pinpoint existing market opportunities, and scrutinize consumer trends within millennial, Gen Z, and Gen Y demographics that are pivotal in driving electric vehicle demand. Additionally, this research seeks to delineate the essential competencies that industrial product designers must possess to effectively develop innovative and sustainable electric motorcycles. The findings of this study highlight a significant market potential for electric motorcycles in Indonesia, particularly among millennials, Gen Z, and Gen Y consumers. In response, industrial product designers need a comprehensive grasp of Technology 4.0, foundational principles of product design, creativity, innovation, sustainability, and digital technology integration. Such competencies are crucial for the successful development of electric motorcycles that align with the preferences and needs of Indonesian consumers. This research provides a foundation for strategic decision-making within the automotive industry as it transitions towards a future that is increasingly sustainable and technologically advanced.

Co-combustion characteristics and reaction mechanism of coal slime and sewage sludge using a novel multilateral double volumetric parallel model and dendrite neural network

The co-combustion of coal slime (CS) and sewage sludge (SS) presents an effective method for significantly reducing solid waste on large-scale. This study conducted experimental research to investigate the combustion and co-combustion characteristics of CS and SS, focusing on exploring the synergistic effects and mechanisms during co-combustion processes. Novel multilateral double parallel models (Multi-DPM) were proposed to analyze the contributions of volatile and char components in CS/SS mixtures across different ratios during co-combustion. The effects of temperature, mixing ratio, and heating rate on the co-combustion process were evaluated using a new novel dendrite neural network (DD-NN) model. The results revealed varyied degrees of interaction between CS and SS during co-combustion. Kinetic and thermodynamic analyses revealed that the most significant enhancement in the CS/SS mixing ratio of 6:4. Both the double parallel volumetric model (DPVM) and the newly proposed multilateral double parallel volumetric models (Multi-DPVM) demonstrated the best fit with experimental conversion and proved their suitability for analyzing the co-combustion process of CS and SS. These models were further employed to predict the combustion kinetic parameters and conversion profiles of total volatiles and total char of single and mixed materials, as well as the volatiles and char of the individual CS and SS materials within the mixture. The obtained conversion data and activation energy values from the DPVM and Multi-DPVM were used to assess the best fit reaction mechanism using the master-plots method. This validation underscored the reliability of the DPVM and Multi-DPVM based on integral fitting model solution. Moreover, the application of the new DD-NN model demonstrated good predictive performance for the co-combustion process of CS and SS, identifying key transfer functions influencing the co-combustion process. Overall, this study provides valuable insights into comprehensively understanding the co-combustion mechanism of CS and SS, providing crucial information for industrial product design.

Application of Computer Vision and Neural Networks in Feature Extraction and Optimization of Industrial Product Design

Application of Computer Vision and Neural Networks in Feature Extraction and Optimization of Industrial Product Design

Neural Network Inspired Automation and Intelligence of Industrial Product Design

Neural Network Inspired Automation and Intelligence of Industrial Product Design

Challenges of Integrating Industrial Product Design CAD Packages in Commercial New Product Development in SME Settings

Challenges of Integrating Industrial Product Design CAD Packages in Commercial New Product Development in SME Settings