scholarly journals Enhancing Design for Additive Manufacturing Workflow: Optimization, Design and Simulation Tools

2021 ◽  
Vol 11 (14) ◽  
pp. 6628
Author(s):  
Nicolas Alberto Sbrugnera Sotomayor ◽  
Fabrizia Caiazzo ◽  
Vittorio Alfieri
Keyword(s):  
Additive Manufacturing ◽  
Optimization Design ◽  
Design Tools ◽  
Design For Additive Manufacturing ◽  
New Era ◽  
Simulation Tools ◽  
Workflow Optimization ◽  
Multi Scale ◽  
Software Platforms ◽  
Technology Benefits

In the last few decades, complex light-weight designs have been successfully produced via additive manufacturing (AM), launching a new era in the thinking–design process. In addition, current software platforms provide design tools combined with multi-scale simulations to exploit all the technology benefits. However, the literature highlights that several stages must be considered in the design for additive manufacturing (DfAM) process, and therefore, performing holistic guided-design frameworks become crucial to efficiently manage the process. In this frame, this paper aims at providing the main optimization, design, and simulation tools to minimize the number of design evaluations generated through the different workflow assessments. Furthermore, DfAM phases are described focusing on the implementation of design optimization strategies as topology optimization, lattice infill optimization, and generative design in earlier phases to maximize AM capabilities. In conclusion, the current challenges for the implementation of the workflow are hence described.

scholarly journals GEOMETRICAL BENCHMARKING OF LASER POWDER BED FUSION SYSTEMS BASED ON DESIGNER NEEDS

2021 ◽  
Vol 1 ◽  
pp. 1657-1666
Author(s):  
Joaquin Montero ◽  
Sebastian Weber ◽  
Christoph Petroll ◽  
Stefan Brenner ◽  
Matthias Bleckmann ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Use Case ◽  
Powder Bed Fusion ◽  
Design For Additive Manufacturing ◽  
Laser Powder Bed Fusion ◽  
Measuring Systems ◽  
Powder Bed ◽  
Geometric Dimensioning And Tolerancing ◽  
Uncertainty Map ◽  
New System

AbstractCommercially available metal Laser Powder Bed Fusion (L-PBF) systems are steadily evolving. Thus, design limitations narrow and the diversity of achievable geometries widens. This progress leads researchers to create innovative benchmarks to understand the new system capabilities. Thereby, designers can update their knowledge base in design for additive manufacturing (DfAM). To date, there are plenty of geometrical benchmarks that seek to develop generic test artefacts. Still, they are often complex to measure, and the information they deliver may not be relevant to some designers. This article proposes a geometrical benchmarking approach for metal L-PBF systems based on the designer needs. Furthermore, Geometric Dimensioning and Tolerancing (GD&T) characteristics enhance the approach. A practical use-case is presented, consisting of developing, manufacturing, and measuring a meaningful and straightforward geometric test artefact. Moreover, optical measuring systems are used to create a tailored uncertainty map for benchmarking two different L-PBF systems.

scholarly journals REVIEW OF DESIGN HEURISTICS AND DESIGN PRINCIPLES IN DESIGN FOR ADDITIVE MANUFACTURING

2021 ◽  
Vol 1 ◽  
pp. 2571-2580
Author(s):  
Filip Valjak ◽  
Angelica Lindwall
Keyword(s):  
Additive Manufacturing ◽  
Design Process ◽  
Research Question ◽  
Design Principles ◽  
Current Status ◽  
Design For Additive Manufacturing ◽  
Design Heuristics ◽  
Similarities And Differences ◽  
Definition Of ◽  
Support Methods

AbstractThe advent of additive manufacturing (AM) in recent years have had a significant impact on the design process. Because of new manufacturing technology, a new area of research emerged – Design for Additive Manufacturing (DfAM) with newly developed design support methods and tools. This paper looks into the current status of the field regarding the conceptual design of AM products, with the focus on how literature sources treat design heuristics and design principles in the context of DfAM. To answer the research question, a systematic literature review was conducted. The results are analysed, compared and discussed on three main points: the definition of the design heuristics and the design principles, level of support they provide, as well as where and how they are used inside the design process. The paper highlights the similarities and differences between design heuristics and design principles in the context of DfAM.

scholarly journals Smooth Design of 3D Self-Supporting Topologies Using Additive Manufacturing Filter and SEMDOT

2020 ◽  
Vol 11 (1) ◽  
pp. 238
Author(s):  
Yun-Fei Fu ◽  
Kazem Ghabraie ◽  
Bernard Rolfe ◽  
Yanan Wang ◽  
Louis N. S. Chiu
Keyword(s):  
Additive Manufacturing ◽  
Compliant Mechanism ◽  
Optimization Method ◽  
Light Weight ◽  
Design For Additive Manufacturing ◽  
Compliance Minimization ◽  
Performance Requirements ◽  
Specific Performance ◽  
Smooth Design ◽  
Compliant Mechanism Design

The smooth design of self-supporting topologies has attracted great attention in the design for additive manufacturing (DfAM) field as it cannot only enhance the manufacturability of optimized designs but can obtain light-weight designs that satisfy specific performance requirements. This paper integrates Langelaar’s AM filter into the Smooth-Edged Material Distribution for Optimizing Topology (SEMDOT) algorithm—a new element-based topology optimization method capable of forming smooth boundaries—to obtain print-ready designs without introducing post-processing methods for smoothing boundaries before fabrication and adding extra support structures during fabrication. The effects of different build orientations and critical overhang angles on self-supporting topologies are demonstrated by solving several compliance minimization (stiffness maximization) problems. In addition, a typical compliant mechanism design problem—the force inverter design—is solved to further demonstrate the effectiveness of the combination between SEMDOT and Langelaar’s AM filter.

scholarly journals Additive Manufacturing of Multi‐Scale Porous Soft Tissue Implants That Encourage Vascularization and Tissue Ingrowth

2021 ◽  
pp. 2100229
Author(s):  
Fergal B. Coulter ◽  
Ruth E. Levey ◽  
Scott T. Robinson ◽  
Eimear B. Dolan ◽  
Stefano Deotti ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Soft Tissue ◽  
Tissue Ingrowth ◽  
Multi Scale

Articulated 3D model matching using multi-scale histograms of shape features for customized additive manufacturing

2021 ◽  
Vol 132 ◽  
pp. 103520
Author(s):  
Xin Lin ◽  
Kunpeng Zhu ◽  
Min Zhou ◽  
Jerry Ying Hsi Fuh ◽  
Qing-guo Wang
Keyword(s):  
Additive Manufacturing ◽  
3D Model ◽  
Shape Features ◽  
Model Matching ◽  
Multi Scale

scholarly journals An Optimization Workflow in Design for Additive Manufacturing

2021 ◽  
Vol 11 (6) ◽  
pp. 2572
Author(s):  
Stefano Rosso ◽  
Federico Uriati ◽  
Luca Grigolato ◽  
Roberto Meneghello ◽  
Gianmaria Concheri ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Structural Optimization ◽  
Geometric Model ◽  
Complex Geometries ◽  
Design Phase ◽  
Design For Additive Manufacturing ◽  
Engineering Software ◽  
Embodiment Design ◽  
Pros And Cons

Additive Manufacturing (AM) brought a revolution in parts design and production. It enables the possibility to obtain objects with complex geometries and to exploit structural optimization algorithms. Nevertheless, AM is far from being a mature technology and advances are still needed from different perspectives. Among these, the literature highlights the need of improving the frameworks that describe the design process and taking full advantage of the possibilities offered by AM. This work aims to propose a workflow for AM guiding the designer during the embodiment design phase, from the engineering requirements to the production of the final part. The main aspects are the optimization of the dimensions and the topology of the parts, to take into consideration functional and manufacturing requirements, and to validate the geometric model by computer-aided engineering software. Moreover, a case study dealing with the redesign of a piston rod is presented, in which the proposed workflow is adopted. Results show the effectiveness of the workflow when applied to cases in which structural optimization could bring an advantage in the design of a part and the pros and cons of the choices made during the design phases were highlighted.

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