A Robust Design Perspective on Factors Influencing Geometric Quality in Metal Additive Manufacturing

Author(s):  
Vaishak Ramesh Sagar ◽  
Samuel Lorin ◽  
Kristina Wärmefjord ◽  
Rikard Söderberg

Abstract Additive manufacturing (AM) for metals is a widely researched, continuously enhanced manufacturing process and is implemented across various industries. However, the AM process exhibits variation that affects the geometric quality of the end product. The effect of process variation on geometric quality is rarely considered during design stages. This paper discusses the various sources that contribute to geometric variation and the prospect of applying robust design method to produce geometry assured AM products. A framework for geometric robustness analysis of AM products is presented as an outcome. This framework would facilitate development of methods and tools to produce geometry assured AM products. The prospects of variation simulation to support geometric robustness analysis and the challenges associated with it are discussed.

2012 ◽  
Vol 605-607 ◽  
pp. 292-295
Author(s):  
Hai Ming Kan ◽  
Hai Bin Li ◽  
Xiao Li Xia ◽  
Yan Tao Zhang

Torlerance design is one of the most important part in product development, which can affect the quality of product. In order to improve the quality of the products and design robustness, this paper developed an efficient torlerance robust design method on base of the Taguchi Theory. The lossing of fuzzy quality is used to modeling the quality of product, the cost and quality are modeled as optimization objective to finish the torlerrance robust design. An example is also studied to verify the effectiveness of the method.


Author(s):  
Samuel Lorin ◽  
Björn Lindau ◽  
Lars Lindkvist ◽  
Rikard Söderberg

During product development one important aspect is the geometric robustness of the design. This is due to the fact that all manufacturing processes lead to products with variation. Failing to properly account for the variability of the process in the design phase may lead to expensive redesign. One important tool during the design phase in many industries is variation simulation, which makes it possible to predict and optimize the geometric quality of the design. However, despite the increase in computer power, calculation time is still an obstacle for the wider use of variation simulation. In this article, we propose a new method for efficient compliant variation simulation of spot-welded sheet metal assemblies. The method is exact, and we show that the method leads to time savings in simulation of approximately 40–50% compared to current state-of-the-art variation simulation.


ISRN Optics ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Suyong Wu ◽  
Xingwu Long ◽  
Kaiyong Yang

We present a novel fast robust design method of multilayer optical coatings. The sensitivity of optical films to production errors is controlled in the whole optimization design procedure. We derive an analytical calculation model for fast robust design of multilayer optical coatings. We demonstrate its effectiveness by successful application of the robust design method to a neutral beam splitter. It is showed that the novel robust design method owns an inherent fast computation characteristic and the designed film is insensitive to the monitoring thickness errors in deposition process. This method is especially of practical significance to improve the mass production yields and repetitive production of high-quality optical coatings.


Author(s):  
Zhun Fan ◽  
Sofiane Achiche

The research work carried out in this paper introduces a robust design method for layout synthesis of MEM resonator subject to inherent geometric uncertainties such as the fabrication error on the sidewall of the structure. The robust design problem is formulated as a multi-objective constrained optimization problem with certain assumptions and treated by a special constrained genetic algorithm. The MEM design used for validation is a crab-leg resonator taken from the literature. The results show that the approach proposed in this research can lead to design results that meet the target performance and are less sensitive to geometric uncertainties than typical designs.


2013 ◽  
Vol E96.C (4) ◽  
pp. 604-611 ◽  
Author(s):  
Shigeru KUBOTA ◽  
Kensaku KANOMATA ◽  
Katsuaki MOMIYAMA ◽  
Takahiko SUZUKI ◽  
Fumihiko HIROSE

2019 ◽  
Vol 11 (3) ◽  
pp. 168781401983413
Author(s):  
Qisong Qi ◽  
Qing Dong ◽  
Yunsheng Xin

The nominal values of structural design parameters are usually calculated using a traditional deterministic optimization design method. However, owing to the failure of this type of method to consider potential variations in design parameters, the theoretical design results can be far from reality. To address this problem, the specular reflection algorithm, a recent advancement in intelligence optimization, is used in conjunction with a robust design method based on sensitivity. This method not only is able to fully consider the influence of parameter uncertainty on the design results but also has strong applicability. The effectiveness of the proposed method is verified by numerical examples, and the results show that the robust design method can significantly improve the reliability of the structure.


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