An improved model for predicting the scattered S-N curves

Klemenc, Jernej (avtor), Podgornik, Bojan (avtor)

In this article an improved neural network model is presented that allows us to predict the scattered S-N curves. The model is capable of predicting the S-N curve in its high-cycle and very-high-cycle fatigue domains by considering also the increased scatter of the fatigue-life data below the knee point of the S-N curve. The scatter of the fatigue-life data for an arbitrary amplitude-stress level is modelled with a two-parametric Weibull%s probability density function, the parameters of which are varied as a function of the amplitude-stress level. The parameters of the S-N curve trend and its scatter distribution are not fixed, but depend on the parameters of the production process via a serial-hybrid neural network. The article presents the theoretical background and the application in the case of real experimental fatigue data for 51CrV4 spring steel manufactured with two different manufacturing technologies and two different heat treatments.

• Jezik: Angleški jezik
• Ključne besede: 51CrV4 steel, conventional manufacturing technology, electro-slag remelting, S-N curve, neural network
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FS - Fakulteta za strojništvo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2019
• Št. strani: Str. 265-275
• Številčenje: Vol. 65, no. 5
• PID: 20.500.12556/RUL-108215
• UDK: 621.7:681.5(045)
• ISSN pri članku: 0039-2480
• DOI: 10.5545/sv-jme.2018.5918
• COBISS.SI-ID: 16644891
• Datum objave v RUL: 21.06.2019

Gradivo je del revije

• Naslov: Strojniški vestnik
• Skrajšan naslov: Stroj. vestn.
• Založnik: Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.
• ISSN: 0039-2480
• COBISS.SI-ID: 762116

Sekundarni jezik

• Jezik: Slovenski jezik
• Naslov: Izboljšan model za napoved S-N krivulj in njihovih raztrosov
• Ključne besede: jeklo 51CrV4, konvencionalne izdelovalne tehnologije, elektro-pretaljevanje, S-N krivulja, nevronske mreže

Projekti

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: P2-0182
• Naslov: Razvojna vrednotenja