36 research outputs found
Lifetime evaluation of hot forged aerospace components by linking microstructural evolution and fatigue behaviour
AbstractThe present work aims at linking the local distribution of fatigue strength in a forged part to its manufacturing process. To this purpose, a predictive fatigue strength model for Inconel 718, also including the operating temperature, is derived from a reduced set of numerous microstructural parameters. The model is implemented, along with a microstructural evolution model from earlier workΒ , into a finite element code in order to predict the local fatigue strength distribution in a component after being subjected to an arbitrary forging process
Comparison between Isothermal and Non-Isothermal Fatigue Behavior in a Cast Aluminum-Silicon-Magnesium Alloy
ΠΠ»Ρ Π»ΠΈΡΠΎΠ³ΠΎ Π°Π»ΡΠΌΠΎΡΠΈΠ»ΠΈΠΊΠ°ΡΠΎΠΌΠ°Π³Π½ΠΈΠ΅Π²ΠΎΠ³ΠΎ ΡΠΏΠ»Π°Π²Π° A356.0, ΡΠΈΡΠΎΠΊΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΠΎΠ³ΠΎ Π΄Π»Ρ ΠΈΠ·Π³ΠΎΡΠΎΠ²Π»Π΅Π½ΠΈΡ Π³ΠΎΠ»ΠΎΠ²ΠΎΠΊ ΡΠΈΠ»ΠΈΠ½Π΄ΡΠΎΠ² Π΄ΠΈΠ·Π΅Π»ΡΠ½ΡΡ
Π΄Π²ΠΈΠ³Π°ΡΠ΅Π»Π΅ΠΉ, Π²ΡΠΏΠΎΠ»Π½Π΅Π½ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΡΡΡΠ°Π»ΠΎΡΡΠ½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΠΏΡΠΈ Π°Π½ΡΠΈΡΠ°Π·Π½ΠΎΠΌ ΡΠ΅ΡΠΌΠΎΠΌΠ΅Ρ
Π°Π½ΠΈΡΠ΅ΡΠΊΠΎΠΌ Π½Π°Π³ΡΡΠΆΠ΅Π½ΠΈΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΏΡΠΈ ΠΌΠ°Π»ΠΎΡΠΈΠΊΠ»ΠΎΠ²ΠΎΠΌ Π½Π°Π³ΡΡΠΆΠ΅Π½ΠΈΠΈ ΠΏΡΠΈ ΠΊΠΎΠΌΠ½Π°ΡΠ½ΠΎΠΉ ΠΈ ΠΏΠΎΠ²ΡΡΠ΅Π½Π½ΠΎΠΉ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ°Ρ
. ΠΡΠΎΠ²Π΅Π΄Π΅Π½Ρ ΠΈΠ·ΠΎΡΠ΅ΡΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ Π½Π΅ΠΈΠ·ΠΎΡΠ΅ΡΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠΈΠΊΠ»ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈΡΠΏΡΡΠ°Π½ΠΈΡ Ρ ΠΊΠΎΠ½ΡΡΠΎΠ»Π΅ΠΌ Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΠΉ ΠΈ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΡ, ΠΌΠΎΠ΄Π΅Π»ΠΈΡΡΡΡΠΈΠ΅ ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΡΠ΅ΠΆΠΈΠΌΡ Π½Π°Π³ΡΡΠΆΠ΅Π½ΠΈΡ Π³ΠΎΠ»ΠΎΠ²ΠΎΠΊ ΡΠΈΠ»ΠΈΠ½Π΄ΡΠΎΠ².ΠΠ»Ρ Π»ΠΈΡΠΎΠ³ΠΎ Π°Π»ΡΠΌΠΎΡΠΈΠ»ΡΠΊΠ°ΡΠΎΠΌΠ°Π³Π½ΡΡΠ²ΠΎΠ³ΠΎ ΡΠΏΠ»Π°Π²Ρ A356.0, ΡΠΎ ΡΠΈΡΠΎΠΊΠΎ Π²ΠΈΠΊΠΎΡΠΈΡΡΠΎΠ²ΡΡΡΡΡΡ Π΄Π»Ρ Π²ΠΈΠ³ΠΎΡΠΎΠ²Π»Π΅Π½Π½Ρ Π³ΠΎΠ»ΠΎΠ²ΠΎΠΊ ΡΠΈΠ»ΡΠ½Π΄ΡΡΠ² Π΄ΠΈΠ·Π΅Π»ΡΠ½ΠΈΡ
Π΄Π²ΠΈΠ³ΡΠ½ΡΠ², Π²ΠΈΠΊΠΎΠ½Π°Π½ΠΎ ΠΏΠΎΡΡΠ²Π½ΡΠ»ΡΠ½ΠΈΠΉ Π°Π½Π°Π»ΡΠ· Π²ΡΠΎΠΌΠ½ΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠ² ΠΏΡΠΈ Π°Π½ΡΠΈΡΠ°Π·Π½ΠΎΠΌΡ ΡΠ΅ΡΠΌΠΎΠΌΠ΅Ρ
Π°Π½ΡΡΠ½ΠΎΠΌΡ Π½Π°Π²Π°Π½ΡΠ°ΠΆΠ΅Π½Π½Ρ ΡΠ° ΠΏΡΠΈ ΠΌΠ°Π»ΠΎΡΠΈΠΊΠ»ΠΎΠ²ΠΎΠΌΡ Π½Π°Π²Π°Π½ΡΠ°ΠΆΠ΅Π½Π½Ρ Π·Π° ΠΊΡΠΌΠ½Π°ΡΠ½ΠΎΡ Ρ ΠΏΡΠ΄Π²ΠΈΡΠ΅Π½ΠΎΡ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΡΠ·ΠΎΡΠ΅ΡΠΌΡΡΠ½Ρ Ρ Π½Π΅ΡΠ·ΠΎΡΠ΅ΡΠΌΡΡΠ½Ρ ΡΠΈΠΊΠ»ΡΡΠ½Ρ Π²ΠΈΠΏΡΠΎΠ±ΡΠ²Π°Π½Π½Ρ Π· ΠΊΠΎΠ½ΡΡΠΎΠ»Π΅ΠΌ Π΄Π΅ΡΠΎΡΠΌΠ°ΡΡΠΉ Ρ ΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠΈ, ΡΠΎ ΠΌΠΎΠ΄Π΅Π»ΡΡΡΡ Π΅ΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΡΠΉΠ½Ρ ΡΠ΅ΠΆΠΈΠΌΠΈ Π½Π°Π²Π°Π½ΡΠ°ΠΆΠ΅Π½Π½Ρ Π³ΠΎΠ»ΠΎΠ²ΠΎΠΊ ΡΠΈΠ»ΡΠ½Π΄ΡΡΠ²
Forgery Attacks on FlexAE and FlexAEAD
FlexAEAD is one of the round-1 candidates in the ongoing NIST Lightweight Cryptography standardization project.
In this note, we show several forgery attacks on FlexAEAD with complexity
less than the security bound given by the designers, such as a block
reordering attack on full FlexAEAD-128 with estimated success probability about .
Additionally, we show some trivial forgeries and point out domain separation issues
Cryptanalysis of MORUS
Item does not contain fulltextAdvances in Cryptology - ASIACRYPT 2018 - 24th International Conference on the Theory and Application of Cryptology and Information Security, Brisbane, QLD, Australia, December 2-
Mind the Gap - A Closer Look at the Security of Block Ciphers against Differential Cryptanalysis
Resistance against differential cryptanalysis is an important design criteria for any modern block cipher and most designs rely on finding some upper bound on probability of single differential characteristics. However, already at EUROCRYPT'91, Lai et al. comprehended that differential cryptanalysis rather uses differentials instead of single characteristics.
In this paper, we consider exactly the gap between these two approaches and investigate this gap in the context of recent lightweight cryptographic primitives. This shows that for many recent designs like Midori, Skinny or Sparx one has to be careful as bounds from counting the number of active S-boxes only give an inaccurate evaluation of the best differential distinguishers. For several designs we found new differential distinguishers and show how this gap evolves. We found an 8-round differential distinguisher for Skinny-64 with a probability of 2β56.932β56.93, while the best single characteristic only suggests a probability of 2β722β72. Our approach is integrated into publicly available tools and can easily be used when developing new cryptographic primitives.
Moreover, as differential cryptanalysis is critically dependent on the distribution over the keys for the probability of differentials, we provide experiments for some of these new differentials found, in order to confirm that our estimates for the probability are correct. While for Skinny-64 the distribution over the keys follows a Poisson distribution, as one would expect, we noticed that Speck-64 follows a bimodal distribution, and the distribution of Midori-64 suggests a large class of weak keys
An Algebraic Attack on Ciphers with Low-Degree Round Functions: Application to Full MiMC
Item does not contain fulltextAdvances in Cryptology β ASIACRYPT 202