2019
DOI: 10.3390/ma12071090
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An Energy-Based Unified Approach to Predict the Low-Cycle Fatigue Life of Type 316L Stainless Steel under Various Temperatures and Strain-Rates

Abstract: An energy-based low-cycle fatigue model was proposed for applications at a range of temperatures. An existing model was extended to the integrated approach, incorporating the simultaneous effects of strain rate and temperature. A favored material at high temperature, type 316L stainless steel, was selected in this study and its material characteristics were investigated. Tensile tests and low-cycle fatigue tests were performed using several strain rates at a temperature ranging from room temperature to 650 °C.… Show more

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Cited by 7 publications
(16 citation statements)
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“…However, a decrease in the SRS is detected for the additively manufactured as well as for the conventional material from 25 to 500 C. Negative SRS values were obtained in the temperature range from 300 to 627 C with a minimum at 500 C. SRS values, obtained at the strain rate jump from 10 À3 to 10 À4 s À1 (not shown here), show a shift to higher temperatures but the same Figure 7. a) Influence of the DSA on elongation to fracture in the temperature range between 300 and 627 C and its comparison with literature data on conventional 316L in different conditions: Choudhary et al [25] : solution-annealed 316L(N), Tak et al [27,51] : 316L cold worked with ε ¼ 17%, and Brnic et al [33] : unknown condition of 316L. b) Temperature dependency of the SRS of the heat-treated SLM and conventional material.…”
Section: Ductility Lossmentioning
confidence: 99%
See 1 more Smart Citation
“…However, a decrease in the SRS is detected for the additively manufactured as well as for the conventional material from 25 to 500 C. Negative SRS values were obtained in the temperature range from 300 to 627 C with a minimum at 500 C. SRS values, obtained at the strain rate jump from 10 À3 to 10 À4 s À1 (not shown here), show a shift to higher temperatures but the same Figure 7. a) Influence of the DSA on elongation to fracture in the temperature range between 300 and 627 C and its comparison with literature data on conventional 316L in different conditions: Choudhary et al [25] : solution-annealed 316L(N), Tak et al [27,51] : 316L cold worked with ε ¼ 17%, and Brnic et al [33] : unknown condition of 316L. b) Temperature dependency of the SRS of the heat-treated SLM and conventional material.…”
Section: Ductility Lossmentioning
confidence: 99%
“…The investigation of the serrations in the stress-strain curves of the compression tests revealed in the conventional material [25] : solution-annealed (SA) 316L(N), Tak et al [27,51] : 316L cold drawn (CD) with ε ¼ 17%, and Kashyap et al [52] : cold rolled (CR) þ SA 316L.…”
Section: Influence On the Strengthmentioning
confidence: 99%
“…These include the Coffin-Manson, Ostergren, and Smith-Watson-Topper models [2][3][4][5]. The predicted fatigue lives found from the present study will be compared with the test results reported in [1,12,13].…”
Section: Fatigue Life Predictionmentioning
confidence: 99%
“…In the present paper, the cyclic stress-strain curves have been generated based on finite element analysis and have been compared with the experimental ones found by Hormozi [1]. Then, an examination of the aforementioned low-cycle fatigue life prediction equations, i.e., the Coffin-Manson [2,3], Smith-Watson-Topper (SWT) [4], and Ostergren equations [5], has been made and the parameters of these equations have been proposed for dumbbell specimens made of 316 FR SS at 650 • C. The predicted fatigue lives have been compared with the test data provided by Hormozi [1], Hong et al [12], and Tak et al [13].…”
Section: Introductionmentioning
confidence: 99%
“…There is a tendency to modify such models in order to extend their scope of operation. This has resulted in the development or modification of many models over the last few decades [10][11][12][13][14][15][16]. Functions that reduce the fluctuation of multiaxial stress states to an equivalent scalar value are an integral part of fatigue models.…”
Section: Introductionmentioning
confidence: 99%