2017
DOI: 10.1007/s12540-017-6347-z
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Analysis of acoustic emission signals at austempering of steels using neural networks

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Cited by 29 publications
(24 citation statements)
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“…However, some axioms have remained almost unchanged, such as the description of the fatigue curve or the different application of a linear Malmgren-Miner approach that is widely used to count cumulative damage [1,2]. With the development of new materials and computational techniques, more feasible fatigue criteria have been developed that are based on, for example, multiaxial stressing or tracking the stress history [1,3].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, some axioms have remained almost unchanged, such as the description of the fatigue curve or the different application of a linear Malmgren-Miner approach that is widely used to count cumulative damage [1,2]. With the development of new materials and computational techniques, more feasible fatigue criteria have been developed that are based on, for example, multiaxial stressing or tracking the stress history [1,3].…”
Section: Introductionmentioning
confidence: 99%
“…The machine components are often subjected to stochastic stress during real operation [3]. The first attempts to apply common probability theory tools and statistics failed.…”
Section: Introductionmentioning
confidence: 99%
“…It is used both for the preparation of semi-finished products and cutting of metal parts either for final use or as preparation for other technological operations [1,2]. Simple analytical calculations are usually used during preparation of serial manufacturing [3,4]. These analytical calculations are sufficient for determining basic parameters of blanking process such as maximal blanking force, however when problems occur during the manufacturing process the solution is often complicated and can be calculated only by using advanced numerical methods [5].…”
Section: Introductionmentioning
confidence: 99%
“…Often, however, the uncertainties are bounded by their minimum and maximum values and in this case, the task changes to the interval analysis of the problem [5][6][7][8][9]. The basic and the easiest method of solving this type of task is the Monte-Carlo method, where we randomly generate points from the uncertainty interval and perform an analysis of the investigated problem for these random combinations of uncertainty, and finally we determine the combination of unknown parameters at which the investigated function has reached the extreme [10][11][12][13][14][15][16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%