Topic Editors

Department of Mechanical Engineering and Aeronautics, University of Patras, Rio Patras 26504, Greece
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
Prof. Dr. Baicun Wang
School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
Grenoble Institute of Technology (Grenoble INP), Grenoble, France
Dr. Sihan Huang
School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Department of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland, 6928 Manno, Switzerland
Department of Chemical, Materials and Industrial Production Engineering, Piazzale Tecchio 80, 80125 Naples, Italy

Smart Manufacturing and Industry 5.0

Abstract submission deadline
30 September 2023
Manuscript submission deadline
30 November 2023
Viewed by
11025

Topic Information

Dear Colleagues,

Manufacturing and Production Industries are currently being reshaped to integrate the new Information and Communication Technologies (ICT) in the existing workplaces. Industry 5.0 is a value-driven approach and is based on three interconnected core pillars: 1) human-centricity, 2) sustainability, and 3) resilience. However, it is necessary to fully utilize the technologies and techniques developed under the framework of Industry 4.0 to implement a successful transition to Industry 5.0, and by extension to further facilitate the realization of Society 5.0. Therefore, authors are invited to participate in this topic and submit interesting research works, either research manuscripts or review manuscripts, in order to highlight the key results of research in areas relevant to the upcoming Industry 5.0 in the framework of Society 5.0.

Prof. Dr. Dimitris Mourtzis
Prof. Dr. Fei Tao
Prof. Dr. Baicun Wang
Dr. Andreas Riel
Dr. Sihan Huang
Prof. Dr. Emanuele Carpanzano
Prof. Dr. Doriana Marilena D'Addona
Topic Editors

Keywords

  • artificial intelligence (AI)
  • augmented reality (AR)
  • big data analytics (BDA)
  • digital twins (DT)
  • extended reality (XR)
  • global manufacturing and production networks
  • human-centric systems
  • human cyber-physical systems (HCPS)
  • human-robot collaboration (HRC)
  • Internet of Things (IoT)
  • mixed reality (MR)
  • predictive analytics
  • resilient manufacturing networks
  • simulation
  • sustainable manufacturing networks
  • virtual reality (VR)

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci
2.838 3.7 2011 14.9 Days 2300 CHF Submit
Automation
automation
- - 2020 16.5 Days 1000 CHF Submit
Electronics
electronics
2.690 3.7 2012 14.4 Days 2000 CHF Submit
Energies
energies
3.252 5.0 2008 15.5 Days 2200 CHF Submit
Machines
machines
2.899 3.1 2013 16.2 Days 2000 CHF Submit
Technologies
technologies
- - 2013 17.7 Days 1400 CHF Submit

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Published Papers (6 papers)

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Article
Optimization of 3D Tolerance Design Based on Cost–Quality–Sensitivity Analysis to the Deviation Domain
Automation 2023, 4(2), 123-150; https://doi.org/10.3390/automation4020009 - 21 Apr 2023
Viewed by 653
Abstract
Under the new geometric product specification (GPS), a two-dimensional chain cannot completely guarantee quality of the product. To optimize the allocation of three-dimensional tolerances in the conceptual design stage, the geometric variations of the tolerance zone to the deviation domain will be mapped [...] Read more.
Under the new geometric product specification (GPS), a two-dimensional chain cannot completely guarantee quality of the product. To optimize the allocation of three-dimensional tolerances in the conceptual design stage, the geometric variations of the tolerance zone to the deviation domain will be mapped in this paper. The deviation-processing cost, deviation-quality loss cost, and deviation-sensitivity cost function relationships combined with the tolerance zone described by the small displacement torsor theory are discussed. Then, synchronous constraint of the function structure and tolerance is realized. Finally, an improved bat algorithm is used to solve the established three-dimensional tolerance mathematical model. A case study in the optimization of three-part tolerance design is used to illustrate the proposed model and algorithms. The performance and advantage of the proposed method are discussed in the end. Full article
(This article belongs to the Topic Smart Manufacturing and Industry 5.0)
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Communication
Examination of Polymer Blends by AFM Phase Images
Technologies 2023, 11(2), 56; https://doi.org/10.3390/technologies11020056 - 12 Apr 2023
Viewed by 827
Abstract
Atomic force microscopy (AFM) belongs to the high-resolution surface morphology investigation methods. Since it can, in many cases, be applied in air, samples can more easily be inspected than by a scanning electron microscope (SEM). In addition, several special modes exist which enable [...] Read more.
Atomic force microscopy (AFM) belongs to the high-resolution surface morphology investigation methods. Since it can, in many cases, be applied in air, samples can more easily be inspected than by a scanning electron microscope (SEM). In addition, several special modes exist which enable examination of the mechanical and other physical parameters of the specimen, such as friction, adhesion between tip and sample, elastic modulus, etc. In tapping mode, e.g., phase imaging can be used to qualitatively distinguish between different materials on the surface. This is especially interesting for polymers, for which the evaluation by energy-dispersive X-ray spectroscopy (EDS) is mostly irrelevant. Here we give an overview of phase imaging experiments on different filaments used for 3D printing by fused deposition modeling (FDM). Furthermore, the acrylonitrile butadiene styrene (ABS), especially different poly(lactide acids) (PLAs) with special features, such as thermochromic or photochromic properties, are investigated and compared with SEM images. Full article
(This article belongs to the Topic Smart Manufacturing and Industry 5.0)
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Article
Dynamic Mixed Reality Assembly Guidance Using Optical Recognition Methods
Appl. Sci. 2023, 13(3), 1760; https://doi.org/10.3390/app13031760 - 30 Jan 2023
Viewed by 892
Abstract
Augmented (AR) and Mixed Reality (MR) technologies are enablers of the Industry 4.0 paradigm and are spreading at high speed in production. Main applications include design, training, and assembly guidance. The latter is a pressing concern, because assembly is the process that accounts [...] Read more.
Augmented (AR) and Mixed Reality (MR) technologies are enablers of the Industry 4.0 paradigm and are spreading at high speed in production. Main applications include design, training, and assembly guidance. The latter is a pressing concern, because assembly is the process that accounts for the biggest portion of total cost within production. Teaching and guiding operators to assemble with minimal effort and error rates is pivotal. This work presents the development of a comprehensive MR application for guiding novice operators in following simple assembly instructions. The app follows innovative programming logic and component tracking in a dynamic environment, providing an immersive experience that includes different guidance aids. The application was tested by experienced and novice users, data were drawn from the performed experiments, and a questionnaire was submitted to collect the users’ perception. Results indicate that the MR application was easy to follow and even gave confidence to inexperienced subjects. The guidance support was perceived as useful by the users, though at times invasive in the field of view. Further development effort is required to draw from this work a complete and usable architecture for MR application in assembly, but this research forms the basis to achieve better, more consistent instructions for assembly guidance based on component tracking. Full article
(This article belongs to the Topic Smart Manufacturing and Industry 5.0)
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Article
Research on a Visual Servoing Control Method Based on Perspective Transformation under Spatial Constraint
Machines 2022, 10(11), 1090; https://doi.org/10.3390/machines10111090 - 18 Nov 2022
Cited by 1 | Viewed by 890
Abstract
Visual servoing has been widely employed in robotic control to increase the flexibility and precision of a robotic arm. When the end-effector of the robotic arm needs to be moved to a spatial point without a coordinate, the conventional visual servoing control method [...] Read more.
Visual servoing has been widely employed in robotic control to increase the flexibility and precision of a robotic arm. When the end-effector of the robotic arm needs to be moved to a spatial point without a coordinate, the conventional visual servoing control method has difficulty performing the task. The present work describes space constraint challenges in a visual servoing system by introducing an assembly node and then presents a two-stage visual servoing control approach based on perspective transformation. A virtual image plane is constructed using a calibration-derived homography matrix. The assembly node, as well as other objects, are projected into the plane after that. Second, the controller drives the robotic arm by tracking the projections in the virtual image plane and adjusting the position and attitude of the workpiece accordingly. Three simple image features are combined into a composite image feature, and an active disturbance rejection controller (ADRC) is established to improve the robotic arm’s motion sensitivity. Real-time simulations and experiments employing a robotic vision system with an eye-to-hand configuration are used to validate the effectiveness of the presented method. The results show that the robotic arm can move the workpiece to the desired position without using coordinates. Full article
(This article belongs to the Topic Smart Manufacturing and Industry 5.0)
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Article
Retrieval of a 3D CAD Model of a Transformer Substation Based on Point Cloud Data
Automation 2022, 3(4), 563-578; https://doi.org/10.3390/automation3040028 - 28 Sep 2022
Viewed by 1339
Abstract
When constructing a three-dimensional model of a transformer substation, it is critical to quickly find the 3D CAD model corresponding to the current point cloud data from a large number of transformer substation model libraries (due to the complexity and variety of models [...] Read more.
When constructing a three-dimensional model of a transformer substation, it is critical to quickly find the 3D CAD model corresponding to the current point cloud data from a large number of transformer substation model libraries (due to the complexity and variety of models in the model base). In response to this problem, this paper proposes a method to quickly retrieve a 3D CAD model. Firstly, a 3D CAD model that shares the same size as the current point cloud model bounding box is extracted from the model library by the double-layer bounding box screening method. Then, the selected 3D CAD model is finely compared with the point cloud model by the multi-view method. The 3D CAD model that has the highest degree of corresponding to the point cloud data is acquired. The proposed algorithm, compared to other similar methods, has the advantages of retrieval accuracy and high efficiency. Full article
(This article belongs to the Topic Smart Manufacturing and Industry 5.0)
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Review
A Literature Review of the Challenges and Opportunities of the Transition from Industry 4.0 to Society 5.0
Energies 2022, 15(17), 6276; https://doi.org/10.3390/en15176276 - 28 Aug 2022
Cited by 30 | Viewed by 4425
Abstract
In the era of Industry 4.0, manufacturing and production systems were revolutionized by increasing operational efficiency and developing and implementing new business models, services, and products. Concretely, the milestone set for Industry 4.0 was to improve the sustainability and efficiency of production systems. [...] Read more.
In the era of Industry 4.0, manufacturing and production systems were revolutionized by increasing operational efficiency and developing and implementing new business models, services, and products. Concretely, the milestone set for Industry 4.0 was to improve the sustainability and efficiency of production systems. By extension, the emphasis was focused on both the digitization and the digitalization of systems, providing room for further improvement. However, the current technological evolution is more system/machine-oriented, rather than human-oriented. Thus, several countries have begun orchestrating initiatives towards the design and development of the human-centric aspect of technologies, systems, and services, which has been coined as Industry 5.0. The impact of Industry 5.0 will extend to societal transformation, which eventually leads to the generation of a new society, the Society 5.0. The developments will be focused on the social and human-centric aspect of the tools and technologies introduced under the framework of Industry 4.0. Therefore, sustainability and human well-being will be at the heart of what comes next, the Industry 5.0, as a subset of Society 5.0. Industry 5.0 will build on the foundations laid during Industry 4.0 by emphasizing human-centered, resilient, and sustainable design. Consequently, the authors in this research work, through a critical literature review, aim to provide adequate reasoning for considering Industry 5.0 as a framework for enabling the coexistence of industry and emerging societal trends and needs. The contribution of this research work extends to the provision of a framework to facilitate the transition from Industry 4.0 to Society 5.0. Full article
(This article belongs to the Topic Smart Manufacturing and Industry 5.0)
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