Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.5
2.7
Journals
Applied Sciences
Special Issues
Innovative Design with Additive Manufacturing, Topology Optimization and Cellular Microstructure
share announcement

Innovative Design with Additive Manufacturing, Topology Optimization and Cellular Microstructure

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Additive Manufacturing Technologies".

Deadline for manuscript submissions: 20 August 2024 | Viewed by 4443

Special Issue Editors

Prof. Dr. Stavroulakis Georgios

E-Mail Website
Guest Editor
Institute of Computational Mechanics and Optimization, School of Production Engineering and Management, Technical University of Crete, 73100 Chania, Greece
Interests: computational mechanics; topology optimization; auxetics
Special Issues, Collections and Topics in MDPI journals
Dr. Loucas Papadakis

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Frederick University, Nicosia 1036, Cyprus
Interests: manufacturing processes; additive manufacturing; thermomechanical modelling; lightweight structures
Special Issues, Collections and Topics in MDPI journals
Dr. Ioannis Ntintakis

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Hellenic Mediterranean University, 71410 Heraklion, Greece
Interests: design for additive manufacturing; product design; topology optimization; lightweight structures
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The recent advances in additive manufacturing have created great prospects for both researchers and industry. Based on important advancements, such as the possibility to manufacture complex geometries, the technology is being continuously developed and improved. Despite the manufacturability achievements in the field of design for additive manufacturing (DfAM), many challenges remain. An increasing number of research articles have been focusing on DfAM in order to create and evaluate innovative lightweight structures that are based on the great advantages of additive manufacturing and overcome manufacturing constraints. Topology optimization is the mathematical method that can optimize the material distribution within a specific design domain. Additionally, it is an efficient way to create lightweight structures and it is compatible with additive manufacturing structures. Therefore, the creation and evaluation of cellular microstructures are becoming a difficult challenge for researchers.

The purpose of this Special Issue is to encourage researchers to focus on this novel and rapidly growing research area. In addition to the above fields, example topics may include new machine learning applications, auxetic and other metamaterials, and novel algorithms linking topology optimization with additive manufacturing. The usage of homogenization in order to consider microstructures for the analysis of larger structural components in an efficient way, as well as the study of dynamic effects and wave–microstructure interaction are also areas of possible contributions. This issue will publish original research papers, short reports, and reviews related to design for additive manufacturing, cellular microstructures, as well as topology optimization.

Prof. Dr. Stavroulakis Georgios
Dr. Loucas Papadakis
Dr. Ioannis Ntintakis
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. Applied Sciences is an international peer-reviewed open access semimonthly 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

  • lightweight, topological, lattice, and cellular structures
  • design for AM
  • cellular microstructures
  • auxetic meta-materials
  • fatigue and strength test for AM
  • adapted mechanical properties
  • homogenization
  • wave–microstructure interaction

Published Papers (5 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

29 pages, 11857 KiB  
Article
Comparison of CAD Software for Designing Cellular Structures for Additive Manufacturing
by Sebastian Geyer and Christian Hölzl
Appl. Sci. 2024, 14(8), 3306; https://0-doi-org.brum.beds.ac.uk/10.3390/app14083306 - 14 Apr 2024
Viewed by 602
Abstract
Additive manufacturing (AM) technologies provide significant design freedom, which is highly desirable in today’s fast-paced product design processes. However, most of the parametric CAD software tools used today do not fully utilize this potential for freedom of form and design. Design mechanisms, such [...] Read more.
Additive manufacturing (AM) technologies provide significant design freedom, which is highly desirable in today’s fast-paced product design processes. However, most of the parametric CAD software tools used today do not fully utilize this potential for freedom of form and design. Design mechanisms, such as topology optimization (TO), generative design (GD), and lattice structures, are available on the market to help designers minimize weight and material cost while maximizing the stiffness and flexibility of planned designs. This paper proposes a benchmarking approach for designers and engineers to select a suitable software tool for lattice structure generation for their specific applications. The approach includes preselecting software tools based on a weighted point evaluation of seven significant criteria. The tools are then evaluated based on key metrics such as computing time and file size of exported structures, as well as the following six distinctive attributes: usability, reliability, availability, performance, support, and cost. The evaluation process considers a total of 32 defined features. The investigation produced clear recommendations regarding overall performance, reliability, and user experience. The findings indicate that the option of a comprehensive support offering, as well as the initial and operational costs, are significant drivers in the decision-making process. Full article
(This article belongs to the Special Issue Innovative Design with Additive Manufacturing, Topology Optimization and Cellular Microstructure)
►▼ Show Figures

Figure 1

18 pages, 6359 KiB  
Article
Application of Advanced Design Methods of “Design for Additive Manufacturing” (DfAM) to the Process of Development of Components for Mobile Machines
by Peter Holub, Ladislav Gulan, Andrej Korec, Viktória Chovančíková, Miroslav Nagy and Martin Nagy
Appl. Sci. 2023, 13(22), 12532; https://0-doi-org.brum.beds.ac.uk/10.3390/app132212532 - 20 Nov 2023
Viewed by 682
Abstract
The research problem is oriented to shortening the development time of products for the automotive and engineering industry and to improving their output properties, such as weight reduction by implementation of advanced design methods (DfAMs). The intention of the study is to achieve [...] Read more.
The research problem is oriented to shortening the development time of products for the automotive and engineering industry and to improving their output properties, such as weight reduction by implementation of advanced design methods (DfAMs). The intention of the study is to achieve positive properties in components and to shorten the development phase when applying DfAM methods, specifically the use of topological optimization (TO). In development of the design methodology using TO, the procedure and results were addressed and consulted with a specific manufacturer in the industry who provided the necessary materials for the research. The methodology was formed based on the partial results and their analysis for selecting the right solutions, such as the analysis of traditional procedures, strength checks, meshes, boundary conditions, etc. The procedure and design were focused and limited to additive manufacturing, specifically SLM. The results agreed with the research aim, and a significant reduction in times was achieved over traditional design methods. There was also a reduction in masses. The research concludes with an evaluation of the results together with those of the manufacturer, and a statement of the benefits, particularly for the scientific discipline and practice. It was concluded that, by implementing the given design methods, it is possible to significantly reduce the financial costs with proper application, simplify the operation of design software and create the possibility of use in training workplaces. With further research and extension of the applicability of the given methodology, substantial positive factors for development can be assumed. However, it should not be forgotten that the use of DfAM methods is greatly influenced by advances in additive manufacturing. Full article
(This article belongs to the Special Issue Innovative Design with Additive Manufacturing, Topology Optimization and Cellular Microstructure)
►▼ Show Figures

Figure 1

13 pages, 16071 KiB  
Article
An Automated Parametric Surface Patch-Based Construction Method for Smooth Lattice Structures with Irregular Topologies
by Luisa Fleig and Klaus Hoschke
Appl. Sci. 2023, 13(20), 11223; https://0-doi-org.brum.beds.ac.uk/10.3390/app132011223 - 12 Oct 2023
Viewed by 787
Abstract
Additive manufacturing enables the realization of complex component designs that cannot be achieved with conventional processes, such as the integration of cellular structures, such as lattice structures, for weight reduction. To include lattice structures in component designs, an automated algorithm compatible with conventional [...] Read more.
Additive manufacturing enables the realization of complex component designs that cannot be achieved with conventional processes, such as the integration of cellular structures, such as lattice structures, for weight reduction. To include lattice structures in component designs, an automated algorithm compatible with conventional CAD that is able to handle various lattice topologies as well as variable local shape parameters such as strut radii is required. Smooth node transitions are desired due to their advantages in terms of reduced stress concentrations and improved fatigue performance. The surface patch-based algorithm developed in this work is able to solidify given lattice frames to smooth lattice structures without manual construction steps. The algorithm requires only a few seconds of sketching time for each node and favours parallelisation. Automated special-case workarounds as well as fallback mechanisms are considered for non-standard inputs. The algorithm is demonstrated on irregular lattice topologies and applied for the construction of a lattice infill of an aircraft component that was additively manufactured. Full article
(This article belongs to the Special Issue Innovative Design with Additive Manufacturing, Topology Optimization and Cellular Microstructure)
►▼ Show Figures

Figure 1

19 pages, 9082 KiB  
Article
TABASCO—Topology Algorithm That Benefits from Adaptation of Sorted Compliances Optimization
by Bogdan Bochenek and Katarzyna Tajs-Zielińska
Appl. Sci. 2023, 13(19), 10595; https://0-doi-org.brum.beds.ac.uk/10.3390/app131910595 - 22 Sep 2023
Cited by 1 | Viewed by 553
Abstract
Although structural topology optimization has been developing for decades, it still plays a leading role within the area of engineering design. Solving contemporary design problems coming from industry requires the implementation of efficient methods and approaches. This stimulates research progress in the development [...] Read more.
Although structural topology optimization has been developing for decades, it still plays a leading role within the area of engineering design. Solving contemporary design problems coming from industry requires the implementation of efficient methods and approaches. This stimulates research progress in the development of novel and versatile topology optimization algorithms. To follow these modern trends, an original topology generator has been elaborated and finally built as a Cellular Automaton with original update rules. The motivation for building the algorithm in this way came from the idea of utilizing the benefits of local compliances sorting. This is conducted on two levels: on the global level, the monotonic function mapping local compliances distribution is defined based on their sorted values; on the local level, for each cell, the compliances are sorted within the cell neighborhood. The three largest absolute values are selected, and these are the basis from which to formulate Cellular Automata update rules. These original rules can efficiently control the generation of structural topologies. This technique is somewhat inspired by the grey wolf optimizer strategy, wherein the process of updating design variables refers to the positions of the three best fitted wolves. It is proposed that we refer to the topology algorithm that benefits from the adaptation of sorted compliances optimization as TABASCO. The developed algorithm is a modified version of the flexible Cellular Automata one presented previously. The implemented extension, regarding the local level cell sorting, allows us to improve the resulting compliance values. The advantages of the algorithm, both from numerical and practical engineering points of view, as compared to the others developed within the field, may be gathered as follows: the algorithm works based on simple update rules, i.e., its numerical implementation is not complicated; it does not require gradient computations; filtering techniques are not needed; and it can easily be combined with professional structural analysis programs which allow engineering applications. The developed topology generator has been linked with ANSYS to show that it can be incorporated into a commercial structural analysis package. This is especially important with respect to the engineering implementations. Full article
(This article belongs to the Special Issue Innovative Design with Additive Manufacturing, Topology Optimization and Cellular Microstructure)
►▼ Show Figures

Figure 1

17 pages, 7575 KiB  
Article
The Impact of Additive Manufacturing Constraints and Design Objectives on Structural Topology Optimization
by Babin Dangal and Sangjin Jung
Appl. Sci. 2023, 13(18), 10161; https://0-doi-org.brum.beds.ac.uk/10.3390/app131810161 - 09 Sep 2023
Cited by 2 | Viewed by 923
Abstract
To analyze the impact of different objective functions and additive manufacturing (AM) constraints on structural topology optimization, it is necessary to perform an in-depth comparative study. This analysis should consider specific structural design factors, such as compliance, volume, or stress minimization, and assess [...] Read more.
To analyze the impact of different objective functions and additive manufacturing (AM) constraints on structural topology optimization, it is necessary to perform an in-depth comparative study. This analysis should consider specific structural design factors, such as compliance, volume, or stress minimization, and assess their effects on the topology optimization for AM. In addition, the inclusion of AM constraints can have a significant influence on various aspects, including optimal part geometry, part volume, support structure volume, and structural performance. Thus, it is essential to investigate and compare these factors to determine the optimal part design for AM. This study focuses on comparing topology optimization results obtained using compliance, stress, or multi-objective minimization, with and without AM constraints. A comparative analysis was conducted in the study, utilizing three structural design examples: cantilever beam, bridge-shaped structure, and L-shaped beam. The comparison results provide insights into the effects of build orientation, AM constraints such as overhang, and different design objectives on the structural topology optimization for AM. Full article
(This article belongs to the Special Issue Innovative Design with Additive Manufacturing, Topology Optimization and Cellular Microstructure)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-5
Back to TopTop