scholarly journals Comparison of CAD systems for generative design for use with additive manufacturing

Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 577-582
Author(s):  
Stefan Junk ◽  
Lukas Burkart
CIRP Annals ◽  
2020 ◽  
Vol 69 (1) ◽  
pp. 117-120 ◽  
Author(s):  
Yicha Zhang ◽  
Zhiping Wang ◽  
Yancheng Zhang ◽  
Samuel Gomes ◽  
Alain Bernard

2020 ◽  
Vol 318 ◽  
pp. 01006
Author(s):  
Ioannis Ntintakis ◽  
George E. Stavroulakis

Due to recent developments in the field of additive manufacturing enormous advantages have become in product design and manufacturing process. Before the appearance of additive manufacturing, developing very complex or light weight structures was difficult to manufacture. The development of artificial intelligent technology helps to develop new collaborative tools and algorithms. Generative design approach is one of them. The outcome model from a generative design study is not depending only from designer/engineer experience or his knowledge. Designers can react with sophisticated algorithms through CAD programs to specify the shape and the topology of the model. A significant tool on a generative design system is topology optimization which is able to generate different solutions. The changes in design process are significant. A rough conceptual design (sketch) or a 3d model is first prepared. Then, boundary conditions, safety factor, manufacturing limitations and materials properties are defined. The generative design system generates potential solutions. It’s up to the designer to find the design that best fits to his need. In this paper the review covers the limitations of current systems through the study of specific design cases using commercial generative design systems.


2021 ◽  
Vol 11 (1) ◽  
pp. 53-58
Author(s):  
Kristóf Szabó

Due to the continuous development of various areas of the industry, such as modern production equipment, material technology, computer and software development, it is possible to expand the range of conventional production technologies. These include additive manufacturing technology, which provides a new opportunity to produce everyday products, thereby satisfying market needs. Integrated CAD systems have occupied a place in the product design and development process for decades, which has partially reformed classical design methods and its steps.


TEM Journal ◽  
2020 ◽  
pp. 868-872
Author(s):  
Martin Pollák ◽  
Monika Töröková ◽  
Marek Kočiško

At present, one can encounter a large number of CAD systems in design practice. They are mostly CAD systems for creation and modification of a geometric model. Modelling new prototype components requires high flexibility. To achieve such flexibility, special tools and methods that are a part of generative design are used. Generative design is currently one of the new and rapidly evolving modelling technologies in computer aided design. The paper describes a new design approach and the software used for modelling components in a generative way of designing, with the possibility of interfacing it with software suitable for the creation of a robot control program for component production by additive technology.


Author(s):  
Mikel Iturrate ◽  
Xabier Amezua ◽  
Xabier Garikano ◽  
Jose Antonio Oriozabala ◽  
Iñaki Martin ◽  
...  

AbstractGenerative design (GD) is a new way of designing products that respond to the current characteristics of the 4.0 industry era. It allows the customization of designs and helps to minimize process times and material quantities. In the case study, two parts of the transmission system of a skateboard have been designed using GD of Solid Edge ST10. The design has been customized for 67 kg users who will use the skateboard for riding and not for jumping or doing tricks. On the other hand, the aim was to minimize the weight and the use of material for its manufacture. Once the initial solid is defined, the software generates specific designs for different levels of mass reduction or product quality. An axle with a mass reduction of 70% from the initial solid and a base with reduction of 60% have been proposed. The GD more than an alternative is a requirement to respond to the demands of the 4.0 industry in which customization and cost reduction are one of the fundamental pillars. This type of design, at the same time, forces to adapt the manufacturing processes so that it is necessary to manufacture in additive manufacturing (AM) machines.


2020 ◽  
Vol 44 ◽  
pp. 124-131
Author(s):  
Styliani Salta ◽  
Nikolaos Papavasileiou ◽  
Konstantinos Pyliotis ◽  
Miltiadis Katsaros

2021 ◽  
Vol 184 ◽  
pp. 106794
Author(s):  
Hui Wang ◽  
Wenfeng Du ◽  
Yannan Zhao ◽  
Yingqi Wang ◽  
Runqi Hao ◽  
...  

2020 ◽  
pp. 46-47
Author(s):  
Andrea Graciano ◽  
Gilbertto Prado

Parameterize means to identify and describe quantitatively variable elements in the process. To each parameter is assigned one or more variable values, which have effects on the process output. The more parameters, the greater the number of possible solutions. In “conventional” design projects these values are defined and fixed in the early stages of the project, creating a single result and the use of the computer focuses on the visual and technical representation of this idea (CAD systems - Computer Aided Design). On the other hand, in parametric and generative design projects, the designer defines parameters but their values remain variable, dynamically imputed with the assistance of algorithms (AAD systems - Algorithm Aided Design). Parametric design and generative design are often taken as synonymous and in bibliography, there is no clear division between practice, technique, methodology and theory. This work presents the main similarities and differences between parametric and generative design and shows a practical example of using algorithms aiding a surface design project, creating a pattern whose drawings were randomly generated in Processing.


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