Influence of Different Strain Hardening Models on the Behavior of Materials in the Elastic–Plastic Regime under Cyclic Loading

Sivák, Peter; Frankovský, Peter; Delyová, Ingrid; Bocko, Jozef; Kostka, J.; Schürger, Barbara

doi:10.3390/ma13235323

Cited by 3 publications

(3 citation statements)

References 53 publications

(102 reference statements)

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“…The measurement was performed on two beams, which were identical in their geometric characteristics, only the method of their fixation was different. It is for this reason that the whole measurement procedure had to be repeated twice [15][16][17][18][19][20][21][22][23][24][25].…”

Section: D) Selection Of Excitation Methods (Dynamic Exciter or Modal Hammer) E) Selection Of Force And Response Sensors (Acceleration Vementioning

confidence: 99%

Modal Analysis of Beam Oscillation

Schürger¹,

Kicko²,

Neumann³

et al. 2021

AMS

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This paper deals with modal analysis through 3 different approaches, namely: analytically, numerically and experimentally. The investigated mechanical structure in this case will be a beam, which is characterized by three parameters, one of which is significantly larger than the other two. The beam is a structural element designed to transmit forces, mostly external ones. Modal analysis of the beam will be performed in 2 versions of its fixation, as a free structure and a one-sided embedded fixation. Modal parameters obtained by 3 different approaches will be compared with each other, which will determine whether the method of calculation was chosen correctly or whether the experiment was performed correctly.

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Section: D) Selection Of Excitation Methods (Dynamic Exciter or Modal Hammer) E) Selection Of Force And Response Sensors (Acceleration Vementioning

confidence: 99%

Modal Analysis of Beam Oscillation

Schürger¹,

Kicko²,

Neumann³

et al. 2021

AMS

Self Cite

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show abstract

“…The literature reflects the results of the development of dynamic models on differential, artificial neural networks and fuzzy logic. Dynamic models require for their implementation all parameters of the object, which are not always known [4,[18][19][20][21]. Artificial neural networks are quite complex in their implementation [22,23].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Diagnostic Methods and Energy of Production Systems Drives

et al. 2021

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This article deals with solving the urgent scientific problem of the diagnostics of drives of technological robotized workplaces with support of sensors. The dependence of diagnostic parameters on the technical state of drives of automated technological systems, which is of great economic importance for industrial enterprises, is being investigated. Diagnostic models have been developed based on sensory systems to diagnose drive models of technological robotized workplaces. The use of these models may also include monitoring systems in which it is possible to build a system for identifying detected changes. These systems identify many contradictory changes and thereby reduce the false alarm frequency of monitoring sensory systems. Numerous methods for solving technical diagnostics problems are often based on methods based on mathematical models describing work processes, as well as on spectral analysis of measured parameters, such as vibrations, noise, and electric current. A fuzzy inference system for assessing the technical condition, a system for estimating the residual resource of drives, and asystem for calculating diagnostic intervals based on fuzzy knowledge have been developed. Based on the historical trend of the diagnostic parameters, the intelligent diagnostic system determines the current technical condition of the actuator and predicts future technical condition changes, determines the remaining service life and the time intervals for diagnostics. The analysis of the time spent on planned preventive maintenance of technological equipment makes it possible to conclude that, after the modernization of equipment in 2018, the repair time was reduced from 350 h to 260 h per year (26%). Since 2019, there is a tendency to increase repair time by 30 h each year.

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“…Thermal elastic–plastic analysis was proposed by Kim et al [ 41 ] during the friction stir welding process, where they claimed that the proposed parameters during the process would reduce the testing period and the cost of the manufacturing process and increase productivity of electric vehicle battery frames. The authors in [ 42 ] investigated the influence of various strain hardening models under cyclic loading on the elastic–plastic behavior of the material and provided data for further practical applications. These recent works, among many others, prove that elastic and elastic–plastic deformations are recently being given more consideration.…”

Section: Introductionmentioning

confidence: 99%

Shape Analysis of the Elastic Deformation Region throughout the Axi-Symmetric Wire Drawing Process of ETP Grade Copper

et al. 2021

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The wire drawing process is commonly perceived as one of the best studied metal forming processes in almost every aspect; however, when considering elastic deformation, researchers usually focus on the uniaxial tensile forces after the material exits the drawing die and not the elastic deformation region before entering the drawing die, even though it may have a significant impact on the strength parameters and the nature of metal flow inside the drawing die. The aim of this research is to theoretically and experimentally identify the deformation in the elastic region and to further link the shape of this region and the values of stress occurring in it with the geometrical parameters of the drawing process and assess its impact on its strength parameters. In order to achieve the assumed goals, numerical analyses using the finite element method and experimental research on the drawing process in laboratory conditions were carried out using Vickers hardness tests and resistance strain gauges measuring deformation in stationary and non-stationary conditions. The obtained results indicate that the shape and the extent of the region of elastic deformations generated in the material before the plastic deformation region during the drawing process depends on the applied deformation coefficient and stationarity of the process.

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Influence of Different Strain Hardening Models on the Behavior of Materials in the Elastic–Plastic Regime under Cyclic Loading

Cited by 3 publications

References 53 publications

Modal Analysis of Beam Oscillation

Modal Analysis of Beam Oscillation

Analysis of Diagnostic Methods and Energy of Production Systems Drives

Shape Analysis of the Elastic Deformation Region throughout the Axi-Symmetric Wire Drawing Process of ETP Grade Copper

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