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Processes
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Advances in Digital Design and Manufacturing
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Advances in Digital Design and Manufacturing

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Manufacturing Processes and Systems".

Deadline for manuscript submissions: closed (30 July 2022) | Viewed by 16109

Special Issue Editors

Prof. Dr. Shengfeng Qin

E-Mail Website
Guest Editor
Department of Design, Northumbria University, Newcastle Upon Tyne NE1 8ST, UK
Interests: digital design technology; smart product and service design; design optimization; digital manufacturing, smart cities; design for emotion; crowdsouring product and service design and development
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Marcin Perzyk

E-Mail Website
Guest Editor
Institute of Manufacturing Technologies, Faculty of Mechanical and Production Engineering, Warsaw University of Technology, 02-524 Warszawa, Poland
Interests: production engineering; modeling of manufacturing processes; applications of data mining in manufacturing

Special Issue Information

Dear Colleagues,

Under the current industry evolution, Industry 4.0, traditional digital design and manufacturing processes, methods and technologies are under the new evolution enabled by the Cyber-Physical System (CPS), IoT, IIOT, Digital Thread/Digital Shadow/Digital Twin, Data-Driven AI, etc. Therefore, this Special Issue aims to solicit and exchange state-of-the-art research reports in digital design and manufacturing in response to the Industry 4.0 paradigm. This new generation of digital design and manufacturing processes, methods and technologies is the key to various new industrial applications, such as in Smart Cities, Smart Manufacturing, Smart Product and Service Systems and Smart Societies.

The scope of the Special Issue includes advanced digital design and manufacturing processes, methods, tools and technologies, which have potential applications in the following fields (amongst others):

  • Smart product design and development;
  • Smart service design and development;
  • Computer-aided industrial design;
  • Modeling and simulation of digital twin platform for smart product design;
  • Integrated product and service system design and manufacturing;
  • Digital twin and IoT-enabled smart product and manufacturing ecosystem;
  • Circular economy approach for smart product and service design and manufacturing smart cities and urbanization;
  • Smart healthcare and social cares;
  • Smart manufacturing;
  • Emotional design and smart society;
  • Cultural-inspired product and service design.

Prof. Dr. Shengfeng Qin
Prof. Dr. Marcin Perzyk
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • digital design and manufacturing
  • smart product design
  • smart service design and development
  • smart manufacturing
  • smart systems
  • advanced design and manufacturing processes, methods, and technologies

Published Papers (7 papers)

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Research

20 pages, 8128 KiB  
Article
Perceptual Quantitative Decision Making and Evaluation of Product Stylable Topology Design
by Yi Wang, Qinxin Zhao, Jian Chen, Weiwei Wang, Suihuai Yu, Cunliang Li and Dongyi Jia
Processes 2022, 10(9), 1819; https://doi.org/10.3390/pr10091819 - 9 Sep 2022
Cited by 3 | Viewed by 1993
Abstract
Modeling is the primary point to conveying product characteristics. Accurately capturing the image needs of users for modeling is an important way to effectively improve product design efficiency. Quantitative theory type I is a method to solve the internal law between the user’s [...] Read more.
Modeling is the primary point to conveying product characteristics. Accurately capturing the image needs of users for modeling is an important way to effectively improve product design efficiency. Quantitative theory type I is a method to solve the internal law between the user’s target image and the product modeling characteristics by building a mathematical model. Aiming at the problems of abundant product modeling design elements, diversified combination methods, and high design cost due to the subjective ambiguity of user images, a topological design method of product modeling based on quantification theory I is proposed. This method uses the semantic difference method and statistical method to obtain the quantitative data of perceptual semantic features of product modeling to represent the explicit and implicit needs of users. Based on the topological transformation, the topological analysis and modeling of the two types of requirements are carried out. The mapping model of product modeling features and style images is constructed using quantitative theory type I, and the topologic value of each modeling design element is calculated. The above method can effectively solve the mapping problem between product modeling features and style images. On this basis, this research provides a decision-making basis for product modeling design. Using a wine jug as a product exemplar for this research, the scheme design and evaluation are carried out to verify the effectiveness and feasibility of the product modeling topological design method. Full article
(This article belongs to the Special Issue Advances in Digital Design and Manufacturing)
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18 pages, 3590 KiB  
Article
An Iterative Conceptual Design Process for Modular Product Based on Sustainable Analysis and Creative Template Method
by Junyu Zhou, Miao Yu, Wu Zhao, Kai Zhang, Jun Chen and Xin Guo
Processes 2022, 10(6), 1095; https://doi.org/10.3390/pr10061095 - 31 May 2022
Cited by 3 | Viewed by 2221
Abstract
The iterative design process of mechanical products has evolved towards a more sustainable direction driven by the concept of sustainable development. Modular design emphasizes the realization of user requirements under the condition of high efficiency and low cost, which is conducive to the [...] Read more.
The iterative design process of mechanical products has evolved towards a more sustainable direction driven by the concept of sustainable development. Modular design emphasizes the realization of user requirements under the condition of high efficiency and low cost, which is conducive to the diversification of product design. The sustainable innovative design methods are considered in modular design processes, which can improve the design capabilities of enterprises and enhance competitiveness. However, although the existing methods used in the iterative design of a product scheme contributes to satisfy the user requirements and generate the innovative scheme of the product, the sustainable design concepts such as the impact on the utilization of resources and environment during the iteration of the conceptual scheme and sustainability evaluation of product schemes have not been given sufficient attention. To resolve this, in this work, an iterative conceptual design process is proposed for modular products based on the sustainable analysis and creative template method. In this process, firstly, the KANO model is used to analyze the sustainable requirements of users. Secondly, a function behavior structure (FBS) model and creative template method are used to form sustainable innovative modular products conceptual design scheme. Finally, fuzzy analytic hierarchy process (FAHP) is used to evaluate the product scheme. The iterative conceptual design process proposed in this paper can be abbreviated as S-KFCF. The prototype conceptual scheme design of a novel low-temperature plasma deposition device is conducted. The results suggest that the proposed process could effectively reduce the total cost, shorten design cycles, increase product part recovery rates, and improve the environmental friendliness of the design schemes produced via sustainable analysis. Full article
(This article belongs to the Special Issue Advances in Digital Design and Manufacturing)
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29 pages, 5140 KiB  
Article
Research on Decision Making of Design for Coupling System Based on Complexity Composite
by Peng Zhang, Shaohan Chen, Boyuan Zhao and Zifeng Nie
Processes 2022, 10(3), 542; https://doi.org/10.3390/pr10030542 - 11 Mar 2022
Cited by 4 | Viewed by 1805
Abstract
With the continuous improvement in user demand and the increasingly obvious complexity characteristics, such as strong coupling and nonlinearity of the system, it has become a new problem faced by the decision making of conceptual design. Decision-making methods in conceptual design such as [...] Read more.
With the continuous improvement in user demand and the increasingly obvious complexity characteristics, such as strong coupling and nonlinearity of the system, it has become a new problem faced by the decision making of conceptual design. Decision-making methods in conceptual design such as traditional information axioms and the multi-criteria decision-making (MCDM) framework cannot provide a good solution for systems with strong coupling and nonlinearity. To fill these gaps, this paper proposes a decision-making method of design for a coupling system based on a complexity composite method (DMDCC). DMDCC is composed of a prediction model and a synthetic paradigm. In the early stages of decision making of design, design-centric complexity (DCC) theory is used to preliminarily sort the schemes. Then, driven by the twin data of existing products, the complexity of function units is obtained by using the prediction model. The complexity of different function units is composited by the composite paradigm to obtain the total function realization probability of the design scheme. A more accurate calculation of the total function realization probability of new products can assist designers to judge the scheme from the perspective of function and help to guide the decision making of the design of new systems’ development scientifically and reasonably. The engineering example of the bulk traditional Chinese medicine dispensing device is used to verify the scientific effectiveness of the research. Full article
(This article belongs to the Special Issue Advances in Digital Design and Manufacturing)
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15 pages, 4653 KiB  
Article
Tourists’ Spatial–Temporal Behavior Patterns Analysis Based on Multi-Source Data for Smart Scenic Spots: Case Study of Zhongshan Botanical Garden, China
by Jie Zheng, Xuefeng Bai, Lisha Na and Hao Wang
Processes 2022, 10(2), 181; https://doi.org/10.3390/pr10020181 - 18 Jan 2022
Cited by 5 | Viewed by 2224
Abstract
The data based on location/activity sensing technology is exploding and integrating multi-source data provides us with a new perspective to observe tourist behavior. On the one hand, tourist preferences can be extracted from the attractions generated by clustering. On the other hand, potentially [...] Read more.
The data based on location/activity sensing technology is exploding and integrating multi-source data provides us with a new perspective to observe tourist behavior. On the one hand, tourist preferences can be extracted from the attractions generated by clustering. On the other hand, potentially extracted tourist information can provide decision-making support for tourism management departments in tourism planning and resource development. Therefore, developing smart tourism services for tourists and promoting the realization of “smart scenic spots.” A field survey was conducted in Zhongshan Botanical Garden, China, from 3 February to 3 April 2019. This empirical study combines a handheld GPS tracking device and questionnaire survey using SEE to optimize k-means clustering algorithm and explores the spatial–temporal behavior patterns of tourists. The results showed that tourists in the botanical garden could be divided into three behavioral patterns. They are recreation and leisure, birdwatching and photography, and learning and education. The spatial–temporal behavior patterns of different tourists have obvious differences, which provides a basis for the planning and management of smart scenic spots. Full article
(This article belongs to the Special Issue Advances in Digital Design and Manufacturing)
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20 pages, 1148 KiB  
Article
Moving Multiscale Modelling to the Edge: Benchmarking and Load Optimization for Cellular Automata on Low Power Microcomputers
by Piotr Hajder and Łukasz Rauch
Processes 2021, 9(12), 2225; https://doi.org/10.3390/pr9122225 - 9 Dec 2021
Cited by 3 | Viewed by 1940
Abstract
Numerical computations are usually associated with the High Performance Computing. Nevertheless, both industry and science tend to involve devices with lower power in computations. This is especially true when the data collecting devices are able to partially process them at place, thus increasing [...] Read more.
Numerical computations are usually associated with the High Performance Computing. Nevertheless, both industry and science tend to involve devices with lower power in computations. This is especially true when the data collecting devices are able to partially process them at place, thus increasing the system reliability. This paradigm is known as Edge Computing. In this paper, we propose the use of devices at the edge, with lower computing power, for multi-scale modelling calculations. A system was created, consisting of a high-power device—a two-processor workstation, 8 RaspberryPi 4B microcomputers and 8 NVidia Jetson Nano units, equipped with GPU processor. As a part of this research, benchmarking was performed, on the basis of which the computational capabilities of the devices were classified. Two parameters were considered: the number and performance of computing units (CPUs and GPUs) and the energy consumption of the loaded machines. Then, using the calculated weak scalability and energy consumption, a min–max-based load optimization algorithm was proposed. The system was tested in laboratory conditions, giving similar computation time with same power consumption for 24 physical workstation cores vs. 8x RaspberryPi 4B and 8x Jetson Nano. The work ends with a proposal to use this solution in industrial processes on example of hot rolling of flat products. Full article
(This article belongs to the Special Issue Advances in Digital Design and Manufacturing)
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16 pages, 4143 KiB  
Article
Approaches for Motion Control Interface and Tele-Operated Overhead Crane Handling Tasks
by Zhefan Yu, Jianping Luo, Han Zhang, Eiji Onchi and Seung-Hee Lee
Processes 2021, 9(12), 2148; https://doi.org/10.3390/pr9122148 - 28 Nov 2021
Cited by 2 | Viewed by 2353
Abstract
This study aimed to identify the effects of different approaches to a motion control interface (MCI) in tele-operated crane handling tasks. In this study, due to the difficulty of applying the actual equipment to the experiment, we presented a prototype system of a [...] Read more.
This study aimed to identify the effects of different approaches to a motion control interface (MCI) in tele-operated crane handling tasks. In this study, due to the difficulty of applying the actual equipment to the experiment, we presented a prototype system of a tele-operated overhead handling (TOH) crane. Specifically, we investigated participants’ task performance including the accuracy of task completion during unloading, heart rate variation, workload, and the relationships between these factors when four motion control approaches were used: pointing (P), keyboard (K), orientation (O), hand-free gesture (HG). Experiments were conducted with two groups of participants: 21 university students and 11 crane operators used each of the four control methods. A task condition for handling iron blocks was tested. The efficacy of each motion control approach for task performance was evaluated by a within-subject experiment with a novice group. The expert group was used for comparing the task performance and satisfaction in the prototype system with the novices, evaluating whether the prototype system was reproducible for a real setting in the construction site. The results showed that the task completion time, the weight of physical demand, and the overall scores for workload were significantly impacted by the type of motion control: when HG was used, the task completion time increased. Particularly, using HG had the potential to increase the overall workload score, while physical laboriousness was also potentially increased by HG. Conversely, unloading accuracy, heart rate, and mental demand were not affected by motion control approaches. Generally, the expert group spent more time completing the tasks, but they performed better unloading accuracy than the novices in all methods. Ninety-one percent of the experts gave positive feedback on the reproducibility of the prototype system. Full article
(This article belongs to the Special Issue Advances in Digital Design and Manufacturing)
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19 pages, 13819 KiB  
Article
A Framework in Calibration Process for Line Structured Light System Using Image Analysis
by Tianhong Luo, Suchwen Liu, Chenglin Wang, Qiang Fu and Xunjia Zheng
Processes 2021, 9(6), 917; https://doi.org/10.3390/pr9060917 - 24 May 2021
Cited by 2 | Viewed by 2407
Abstract
Line structured light systems have been widely applied in the measurement of various fields. Calibration has been a hot research topic as a vitally important process of the line structured light system. The accurate calibration directly affects the measurement result of the line [...] Read more.
Line structured light systems have been widely applied in the measurement of various fields. Calibration has been a hot research topic as a vitally important process of the line structured light system. The accurate calibration directly affects the measurement result of the line structured light system. However, the external environment factors, such as uneven illumination and uncertain light stripe width, can easily lead to an inaccurate extraction of light stripe center, which will affect the accuracy of the calibration. An image analysis-based framework in the calibration process was proposed for the line structure light system in this paper. A three-dimensional (3D) vision model of line structure light system was constructed. An image filtering model was established to equalize the uneven illumination of light stripe image. After segmenting the stripe image, an adaptive window was developed, and the width of the light stripe was estimated by sliding the window over the light stripe image. The light stripe center was calculated using the gray centroid method. The light plane was fitted based on the calibration points coordinates acquired by the camera system. In the measurement experiment of standard gauge block width, the maximum and minimum average deviations of 0.021 pixels and 0.008 pixels and the maximum and minimum absolute deviations of 0.023 pixels and 0.009 pixels could be obtained by using the proposed method, which implies the accuracy of the proposed method. Full article
(This article belongs to the Special Issue Advances in Digital Design and Manufacturing)
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