Master Curve Validity for Dynamic Fracture Toughness Characteristics

Dlouhý, Ivo; Lenkey, Gy. B.; Holzmann, M.

doi:10.1007/978-94-010-0608-8_17

Cited by 3 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The fracture toughness values were determined using a universal testing machine (8862, Instron, USA) by the chevron notched beam (CNB) technique in the threepoint bending configuration with a span of 16 mm and a crosshead speed of 5 µm min −1 . The fracture toughness values for CNB specimens were calculated using Blum's slice model [35]. A fractographic analysis was conducted on the fracture surfaces of broken specimens using SEM (Tescan Lyra 3 XMU, Czech Republic) to identify the acting fracture mechanisms for each treatment.…”

Section: Evaluation Methodsmentioning

confidence: 99%

Machinability and properties of zirconia ceramics prepared by gelcasting method

Kaštyl

Chlup

Šťastný

et al. 2019

Advances in Applied Ceramics

View full text Add to dashboard Cite

The machinability of newly developed zirconia ceramics for CNC milling was investigated. The zirconia blanks were prepared by the gelcasting method and tested in the green and two pre-sintered states. All blanks exhibited uniform sintering shrinkage in all directions. The blanks were investigated from the viewpoint of surface milling roughness, quality of milled edges and sharp tips, and machinability of thin structures. The best milling results were obtained for the blanks pre-sintered at 900 °C/1 h. Mechanical properties of zirconia blanks, such as biaxial flexural strength, microhardness, indentation elastic modulus, and fracture toughness were determined in the green and pre-sintered states (900 °C/1 h and 1100 °C/1 h) and the

show abstract

Section: Evaluation Methodsmentioning

confidence: 99%

Machinability and properties of zirconia ceramics prepared by gelcasting method

Kaštyl

Chlup

Šťastný

et al. 2019

Advances in Applied Ceramics

View full text Add to dashboard Cite

show abstract

“…It is a temperature corresponding to the median value of the frac-*Corresponding author: tel. : +420 532 290 342; e-mail address: idlouhy@ipm.cz 3 tel. : +420 541 143 171; e-mail address: dlouhy@fme.vutbr.cz 4 ture toughness equal to 100 MPa m 1/2 .…”

Section: Introductionmentioning

confidence: 99%

“…The master curve concept has been subjected to ongoing verification in solving a range of problems [e.g. [3][4][5]; its functionality has also been confirmed under conditions of dynamic loading [6].…”

Section: Introductionmentioning

confidence: 99%

“…to determine the master curve and the scatter band, only one value, the reference temperature, is necessary to know. This may be determined either experimentally based on standard fracture toughness tests [6] and/or test by applying subsized test specimens [8,9]. Some attempts have been also made to predict this temperature based on theoretical considerations [5,10].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Prediction of fracture toughness temperature dependance from tensile test parameters

Dlouhý¹,

Smida²,

Babjak³

2010

View full text Add to dashboard Cite

The reference temperature localizing the fracture toughness temperature diagram on temperature axis was predicted based on tensile test data. Regularization neural network was developed to solve the correlation of these properties. Three-point bend specimens were applied to determine fracture toughness. The fracture toughness transition dependence was quantified by means of master curve concept enabling to represent it using one parameter, i.e. reference temperature. The reference temperature was calculated applying the multi-temperature method. Different strength and deformation characteristics and parameters were determined from standard tensile specimens focusing on data from localized deformation during specimen necking. Tensile samples with circumferential notch were also examined. In total 29 data sets from low-alloy steels were applied for the analyses. A good correlation of predicted and experimentally determined values of reference temperature was found.K e y w o r d s : steels, brittle to ductile transition, fracture, toughness, artificial neural network (ANN)

show abstract