scholarly journals Topology optimization and rim design

2019 ◽  
Vol 4 (4) ◽  
pp. 92-101
Author(s):  
Alkentar Rashwan

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.

Author(s):  
Boštjan Harl ◽  
Jožef Predan ◽  
Marko Kegl ◽  
Dejan Dinevski

This paper discusses modern simulation procedures used in design of structural load-carrying parts that are based on the Finite Element Method. The specific focus of the paper is the topology optimization usage within the context of two currently very interesting topics: configuration and optimization of lattice structures and modern additive manufacturing technologies. Both types of structures are presented together with their limits as well as their potentials for optimization. The discussion is illustrated by two numerical examples and experimentally obtained results. In the examples, a simple beam with three points load is optimized regarding to the different topology setups. The stress fields for different loaded optimized versions of structures are presented and the solutions are discussed and compared to the results of the experiment. A standalone topology optimization software CAESS ProTOp is used for the domain configuration and topology optimization in both examples.


Author(s):  
Filippo Colombo Zefinetti ◽  
Daniele Regazzoni ◽  
Marco Rossoni

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.


Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 283
Author(s):  
Thang Pham ◽  
Patrick Kwon ◽  
Shanelle Foster

Additive manufacturing has many advantages over traditional manufacturing methods and has been increasingly used in medical, aerospace, and automotive applications. The flexibility of additive manufacturing technologies to fabricate complex geometries from copper, polymer, and ferrous materials presents unique opportunities for new design concepts and improved machine power density without significantly increasing production and prototyping cost. Topology optimization investigates the optimal distribution of single or multiple materials within a defined design space, and can lead to unique geometries not realizable with conventional optimization techniques. As an enabling technology, additive manufacturing provides an opportunity for machine designers to overcome the current manufacturing limitation that inhibit adoption of topology optimization. Successful integration of additive manufacturing and topology optimization for fabricating magnetic components for electrical machines can enable new tools for electrical machine designers. This article presents a comprehensive review of the latest achievements in the application of additive manufacturing, topology optimization, and their integration for electrical machines and their magnetic components.


2020 ◽  
Vol 1 ◽  
pp. 451-460
Author(s):  
D. Vlah ◽  
R. Žavbi ◽  
N. Vukašinović

AbstractNowadays, a large number of different tools that support early phases of design are available to engineers. In the past decade a specialized set of CAD-based tools were developed, that support the ideation process by generating different design alternatives according to the criteria given by the designer. Two types of tools are discussed in this paper: topology optimization and generative design tools. To investigate to what extent these tools are suitable for use in early design phases and what are the main differences between them, a study was conducted on an industrial case.


2021 ◽  
Author(s):  
Filippo Colombo Zefinetti ◽  
Marco Rossoni ◽  
Daniele Regazzoni

2020 ◽  
Vol 10 (2) ◽  
pp. 27-34
Author(s):  
Péter Ficzere ◽  
Norbert László Lukács

In many situations the result of the topology optimization or generative design can be manufactured only by additive manufacturing technologies. It is also important to know how the optimised shape behaves from the mechanical stiffness, the manufacturing technology and beneficial point of view. These two different goals can be combined and just the infill properties can be changed and optimised within the main body of 3D printed part.


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