Bioinspired Patterns from a Generative Design Framework for Size and Topology Optimization

2022 ◽  
Author(s):  
Sarah N. Hankins ◽  
Ray S. Fertig
Keyword(s):  
Topology Optimization ◽  
Design Framework ◽  
Generative Design ◽  
And Topology

scholarly journals MLGen: Generative Design Framework Based on Machine Learning and Topology Optimization

2021 ◽  
Vol 11 (24) ◽  
pp. 12044
Author(s):  
Nikos Ath. Kallioras ◽  
Nikos D. Lagaros
Keyword(s):  
Machine Learning ◽  
Topology Optimization ◽  
Architectural Design ◽  
Parametric Design ◽  
Optimization Problems ◽  
Design Procedure ◽  
Performance Criteria ◽  
Design Framework ◽  
Generative Design ◽  
New Era

Design and manufacturing processes are entering into a new era as novel methods and techniques are constantly introduced. Currently, 3D printing is already established in the production processes of several industries while more are continuously being added. At the same time, topology optimization has become part of the design procedure of various industries, such as automotive and aeronautical. Parametric design has been gaining ground in the architectural design literature in the past years. Generative design is introduced as the contemporary design process that relies on the utilization of algorithms for creating several forms that respect structural and architectural constraints imposed, among others, by the design codes and/or as defined by the designer. In this study, a novel generative design framework labeled as MLGen is presented. MLGen integrates machine learning into the generative design practice. MLGen is able to generate multiple optimized solutions which vary in shape but are equivalent in terms of performance criteria. The output of the proposed framework is exported in a format that can be handled by 3D printers. The ability of MLGen to efficiently handle different problems is validated via testing on several benchmark topology optimization problems frequently employed in the literature.

scholarly journals Topology optimization and rim design

2019 ◽  
Vol 4 (4) ◽  
pp. 92-101
Author(s):  
Alkentar Rashwan
Keyword(s):  
Topology Optimization ◽  
Generative Design ◽  
The Past ◽  
Wheel Rim ◽  
And Topology ◽  
Main Factors ◽  
Manufacturing Technologies

A goal of this article is to show the development of the car wheel rims along with the progress of the manufacturing technologies over the past few years. To achieve this goal, topology optimization and generative design usage have been reviewed in this work. The research has focused on the main factors, which affect the life of car wheel rim, and it has shed the light on the effect of the topology optimization and the generative design on the manufacturing of the car wheel rims. Since the main factors above-mentioned are the: forces, material preferences and topology optimization, the study has covered the results of the studies made on each part along with the technology progress. Moreover, the article has explained the methodology main steps of the topology optimization and the generative design and their principles.

Generative Design and Topology Optimization of Disk Brake Floating Carrier

2020 ◽  
Author(s):  
Filippo Colombo Zefinetti ◽  
Daniele Regazzoni ◽  
Marco Rossoni
Keyword(s):  
Topology Optimization ◽  
Laser Scanning ◽  
Design Space ◽  
Initial Conditions ◽  
Optimization Techniques ◽  
Operating Conditions ◽  
Generative Design ◽  
Common Solution ◽  
Disk Brake ◽  
And Topology

Abstract In the last past years, computer-aided technologies to improve existing products by widening the design space have been largely investigated. Topology optimization and generative design are two of the most representative technologies of such kind. This paper aims at investigating the use of generative design and topology optimization techniques to improve products whose design has not changed radically over the years. The product under investigation is a disk brake floating caliper that is the most common solution for commercial vehicles. In general, increasing the stiffness of the floating caliper while keeping its weight under control is desirable both from performance and fuel consumption point of view. The solution here proposed aims at exploiting two new ways to approach the engineering design process and evaluate which one is more suitable for problems of this kind. Starting from the original carrier shape, acquired with laser scanning, the two technologies have been applied on the same initial conditions. The initial design space volume corresponds to the acquired shape, the loads and the constraints for the simulation have been drawn reasonably to resemble the actual operating conditions. Keeping the input parameters constants, two different off-the-shelf software packages have been used to perform the computation and with the objective of maximizing the stiffness of the carrier while reducing its mass. The comparison and the improvements on the final designs have been drawn taken as reference to the original caliper.

Generative Design and Topology Optimization of Disk Brake Floating Carrier

2021 ◽  
Author(s):  
Filippo Colombo Zefinetti ◽  
Marco Rossoni ◽  
Daniele Regazzoni
Keyword(s):  
Topology Optimization ◽  
Generative Design ◽  
Disk Brake ◽  
And Topology

Topography and topology optimization of diesel engine components for light-weight design in the automotive industry

2019 ◽  
Vol 61 (1) ◽  
pp. 27-34 ◽  
Author(s):  
Ali Rıza Yıldız ◽  
Ulaş Aytaç Kılıçarpa ◽  
Emre Demirci ◽  
Mesut Doğan
Keyword(s):  
Topology Optimization ◽  
Diesel Engine ◽  
Automotive Industry ◽  
Light Weight ◽  
And Topology ◽  
Weight Design ◽  
Engine Components

Verification, Validation and Topology Optimization for Innovative Design of Concrete Structures

2018 ◽  
Vol 56 (9) ◽  
pp. 801-808
Author(s):  
K. Wada ◽  
H. Sakurai ◽  
K. Takimoto ◽  
S. Yamamoto
Keyword(s):  
Topology Optimization ◽  
Concrete Structures ◽  
Innovative Design ◽  
And Topology

Cavitation optimization of a throttle orifice plate based on three-dimensional genetic algorithm and topology optimization

2019 ◽  
Vol 60 (3) ◽  
pp. 1227-1244 ◽  
Author(s):  
Tengfei Tang ◽  
Longlong Gao ◽  
Baoren Li ◽  
Lihui Liao ◽  
Yi Xi ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Topology Optimization ◽  
Three Dimensional ◽  
Orifice Plate ◽  
And Topology
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