Development of light-weight design technologies for the secure mounting of battery into the body of electric vehicles

2017 ◽  
Vol 48 (5) ◽  
pp. 400-405
Author(s):  
K. J. Kim
Keyword(s):  
Electric Vehicles ◽  
The Body ◽  
Light Weight ◽  
Weight Design

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

scholarly journals Evolution-Strategies-Driven Optimization on Secure and Reconfigurable Interconnection PUF Networks

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 537
Author(s):  
Hongxiang Gu ◽  
Miodrag Potkonjak
Keyword(s):  
Machine Learning ◽  
State Of The Art ◽  
Evolution Strategies ◽  
Light Weight ◽  
Network Configuration ◽  
System Complexity ◽  
Physical Unclonable Functions ◽  
Output Stability ◽  
Output Mapping ◽  
Weight Design

Physical Unclonable Functions (PUFs) are known for their unclonability and light-weight design. However, several known issues with state-of-the-art PUF designs exist including vulnerability against machine learning attacks, low output randomness, and low reliability. To address these problems, we present a reconfigurable interconnected PUF network (IPN) design that significantly strengthens the security and unclonability of strong PUFs. While the IPN structure itself significantly increases the system complexity and nonlinearity, the reconfiguration mechanism remaps the input–output mapping before an attacker could collect sufficient challenge-response pairs (CRPs). We also propose using an evolution strategies (ES) algorithm to efficiently search for a network configuration that is capable of producing random and stable responses. The experimental results show that applying state-of-the-art machine learning attacks result in less than 53.19% accuracy for single-bit output prediction on a reconfigurable IPN with random configurations. We also show that, when applying configurations explored by our proposed ES method instead of random configurations, the output randomness is significantly improved by 220.8% and output stability by at least 22.62% in different variations of IPN.

Design and Research on Aluminum-Plastic Trunk Lid

2012 ◽  
Vol 538-541 ◽  
pp. 833-840
Author(s):  
Duo Nian Yu ◽  
Li Yang Gu ◽  
Chong Yang Lu
Keyword(s):  
Design Method ◽  
The Body ◽  
Frame Structure ◽  
Light Weight ◽  
Mechanical Stiffness ◽  
Plastic Structure ◽  
Stiffness Properties ◽  
Body Design ◽  
Static Mechanical ◽  
Panel Thickness

Abstract: In this paper, the traditional trunk lid was analyzed using finite element method firstly, and then the basic mechanical properties of the lid were obtained, which were used as the topology optimization constrains of the trunk lid outer panel, then the aluminum alloy frame structure that could satisfy the static mechanical stiffness properties was designed; According to the requirement, the trunk lid inner panel was redesigned, the material properties determined in advance were given to the inner and outer panel respectively, after being assembled, the best panel thickness could be obtained by ways of size optimization. Compared to the analysis results, the new aluminum-plastic structure can meet the requirements in performance, and has significant effect on light-weight. This paper provides some reference for the development of the aluminum-plastic structure of the body design method.

Recent Achievements and Future Challenges for R&D on Aluminium Alloys and Processing

2013 ◽  
Vol 765 ◽  
pp. 47-53
Author(s):  
Helmut Kaufmann
Keyword(s):  
Aluminium Alloys ◽  
Mechanical Treatment ◽  
Materials Science ◽  
New Products ◽  
High Strength ◽  
Light Weight ◽  
Process Chain ◽  
Future Challenges ◽  
Weight Design ◽  
Close Cooperation

The focus of this paper is set on technical achievements and challenges - however, these are most often closely linked to economical or ecological targets set by customers or society. Ideally, an alloy or process optimization leads to improved properties, reduced cost, and reduced emissions. With a continuously growing understanding of the underlying materials science, supported by novel computer simulation, improved alloys and processing routes have been developed. Many of the recent improvements were related to the thermal-mechanical treatment of high strength alloys for enhanced light weight design. Currently and in the future, the focus will be on sustainable development along the entire process chain, with special attention to the recycling of used products and high recycled content in new products. The optimized utilization of resources (e.g. materials, energy, etc.) will require the close cooperation of materials suppliers, product designers and manufacturers as well as R&D facilities to reconsider given material specifications and processing routes.

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