scholarly journals Topology Optimisation in Structural Steel Design for Additive Manufacturing

2021 ◽  
Vol 11 (5) ◽  
pp. 2112
Author(s):  
Tiago P. Ribeiro ◽  
Luís F. A. Bernardo ◽  
Jorge M. A. Andrade
Keyword(s):  
Additive Manufacturing ◽  
Structural Steel ◽  
Structural Engineering ◽  
Research Review ◽  
Topology Optimisation ◽  
Design For Additive Manufacturing ◽  
Scientific Publications ◽  
Discrete Optimisation ◽  
Broad Concept ◽  
Steel Design

Topology Optimisation is a broad concept deemed to encapsulate different processes for computationally determining structural materials optimal layouts. Among such techniques, Discrete Optimisation has a consistent record in Civil and Structural Engineering. In contrast, the Optimisation of Continua recently emerged as a critical asset for fostering the employment of Additive Manufacturing, as one can observe in several other industrial fields. With the purpose of filling the need for a systematic review both on the Topology Optimisation recent applications in structural steel design and on its emerging advances that can be brought from other industrial fields, this article critically analyses scientific publications from the year 2015 to 2020. Over six hundred documents, including Research, Review and Conference articles, added to Research Projects and Patents, attained from different sources were found significant after eligibility verifications and therefore, herein depicted. The discussion focused on Topology Optimisation recent approaches, methods, and fields of application and deepened the analysis of structural steel design and design for Additive Manufacturing. Significant findings can be found in summarising the state-of-the-art in profuse tables, identifying the recent developments and research trends, as well as discussing the path for disseminating Topology Optimisation in steel construction.

scholarly journals Using Videos in Blended E-Learning for a Structural Steel Design Course

2021 ◽  
Vol 11 (6) ◽  
pp. 290
Author(s):  
Bilal EL-Ariss ◽  
Essam Zaneldin ◽  
Waleed Ahmed
Keyword(s):  
Structural Steel ◽  
Learning Outcomes ◽  
United Arab Emirates ◽  
Undergraduate Students ◽  
Structural Engineering ◽  
Online Survey ◽  
Face To Face ◽  
E Learning ◽  
Academic Year ◽  
Steel Design

Conventional methods of teaching structural engineering topics focus on face-to-face delivery of course materials. This study shows that using video-based e-learning in delivering an undergraduate Structural Steel Design course satisfactorily achieved most of the course learning outcomes. Video-based e-learning with animations and simulations gives students a profound understanding of the course intricate design materials. To gauge the effectiveness of video-based e-learning of the course, an online evaluation was conducted by sixty-eight undergraduate students at the United Arab Emirates University using Blackboard. The evaluation consisted of an online survey that was accessible by students who took the structural steel design course in the academic year 2019 using instructional videos provided to them as Quick Response (QR)-codes. The structural steel design course has six learning outcomes (CLOs), and the performance of students in the six CLOs was compared with that of students who took the same course in the academic year 2018 using the traditional face-to-face lecturing method. The survey data was statistically analyzed, and the results revealed that students’ performance improved, and most of the CLOs were attained. Video-based e-learning with animations resulted in better learning outcomes compared to face-to-face lecturing. Accessing the course instruction videos anytime and anywhere is one of the remarkable benefits to the students studying through the e-learning approach.

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 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.

Study on using generative and topology design for feature enrichment in Mars Rovers

2021 ◽  
pp. 87-93
Author(s):  
Abhijith Ram C ◽  
D Ajith
Keyword(s):  
Additive Manufacturing ◽  
Solar System ◽  
Weight Reduction ◽  
Topology Design ◽  
Space Travel ◽  
Design For Additive Manufacturing ◽  
And Topology ◽  
Flexibility Design ◽  
The Origin Of Life ◽  
The Universe

Space travel has always been a crucial task. Exploration and experimenting on Planets in our solar system will help us understand the universe better and also, we could find the origin of life. Rovers play an important role in finding these answers. The problem we have at present is not only with technology to explore the universe but also the ability of our rockets to carry rovers to other rocks. Since a large amount of fuel is required for Space travel, we end with very little cargo that can be sent to explore. As additive manufacturing started to play a vital part in Mechanical Science, we are going to try to use that tool to build a Generative design that helps in parts consolidation, weight reduction, increase flexibility, design optimisation and cost consolidation. Since weight is an important aspect, we could reduce the present rover weight and add additional scientific tools to the rover to increase its scope of search and applications. This project focuses on features enrichment in Rovers by optimizing rover weight and design using Design for Additive Manufacturing concept.

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