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R G Sands - One of the best experts on this subject based on the ideXlab platform.

  • charpy impact energy fracture toughness and ductile Brittle Transition Temperature of dual phase 590 steel
    Materials & Design, 2007
    Co-Authors: Y J Chao, J D Ward, R G Sands
    Abstract:

    Abstract Advanced high strength steels (AHSS) have been introduced and gradually adopted in vehicle structures as lightweight materials in the past years. Engineering performance of AHSS in many areas have shown that they are superior to the conventional steels. In this paper, we present the results from Charpy V-Notch impact tests on dual phase 590 (DP590) steel, which belongs to the family of AHSS. Tests were conducted at Temperatures ranging from −120 °C (−184 °F) to 90 °C (194 °F). Specimens oriented in both L–T and T–L directions were tested. Due to its reduced thickness relative to the ASTM testing standards, specimens from a medium low carbon steel AISI-1018, having both standard and reduced thickness, were tested as well to justify the correction method for the DP590 data. The results show that the ductile–Brittle Transition Temperature (DBTT) based on 20.4 J (15 ft-lb) absorbed energy is about −95 °C (−139 °F) for DP590 which is far below the 5 °C (41 °F) of the AISI-1018 steel. In addition, fracture toughness values of DP590 steel were obtained from correlation with the Charpy impact energy. It is shown that that the fracture toughness of DP590 is in the range of 160–200 MPa m 1/2 (146–182 ksi in. 1/2 ) in the upper shelf region, which includes the room Temperature.

  • charpy impact energy fracture toughness and ductile Brittle Transition Temperature of dual phase 590 steel
    Materials & Design, 2007
    Co-Authors: Y J Chao, J D Ward, R G Sands
    Abstract:

    Abstract Advanced high strength steels (AHSS) have been introduced and gradually adopted in vehicle structures as lightweight materials in the past years. Engineering performance of AHSS in many areas have shown that they are superior to the conventional steels. In this paper, we present the results from Charpy V-Notch impact tests on dual phase 590 (DP590) steel, which belongs to the family of AHSS. Tests were conducted at Temperatures ranging from −120 °C (−184 °F) to 90 °C (194 °F). Specimens oriented in both L–T and T–L directions were tested. Due to its reduced thickness relative to the ASTM testing standards, specimens from a medium low carbon steel AISI-1018, having both standard and reduced thickness, were tested as well to justify the correction method for the DP590 data. The results show that the ductile–Brittle Transition Temperature (DBTT) based on 20.4 J (15 ft-lb) absorbed energy is about −95 °C (−139 °F) for DP590 which is far below the 5 °C (41 °F) of the AISI-1018 steel. In addition, fracture toughness values of DP590 steel were obtained from correlation with the Charpy impact energy. It is shown that that the fracture toughness of DP590 is in the range of 160–200 MPa m 1/2 (146–182 ksi in. 1/2 ) in the upper shelf region, which includes the room Temperature.

Amir Ali Milani - One of the best experts on this subject based on the ideXlab platform.

  • Modeling ductile to Brittle Transition Temperature of functionally graded steels by ANFIS
    Applied Mathematical Modelling, 2012
    Co-Authors: Ali Nazari, Amir Ali Milani, Gholamreza Khalaj
    Abstract:

    Abstract In the present paper, a model based on adaptive network-based fuzzy inference systems (ANFIS) for predicting ductile to Brittle Transition Temperature of functionally graded steels in both crack divider and crack arrester configurations has been presented. Functionally graded steels containing graded ferritic and austenitic regions together with bainite and martensite intermediate layers were produced by electroslag remelting. To build the model, training and testing using experimental results from 140 specimens were conducted. The used data as inputs in ANFIS models are arranged in a format of six parameters that cover the FGS type, the crack tip configuration, the thickness of graded ferritic region, the thickness of graded austenitic region, the distance of the notch from bainite or martensite intermediate layer and Temperature. According to these input parameters, in the ANFIS models, the ductile to Brittle Transition Temperature of each FGS specimen was predicted. The training and testing results in the ANFIS models have shown a strong potential for predicting the ductile to Brittle Transition Temperature of each FGS specimen.

  • Modeling ductile to Brittle Transition Temperature of functionally graded steels by fuzzy logic
    Journal of Materials Science, 2011
    Co-Authors: Ali Nazari, Amir Ali Milani
    Abstract:

    In this article, a model based on fuzzy logic (FL) for predicting ductile to Brittle Transition Temperature of functionally graded steels in both crack divider and crack arrester configurations has been presented. Functionally graded steels containing graded ferritic and austenitic regions together with bainite and martensite intermediate layers were produced by electroslag remelting. For purpose of building the model, training and testing using experimental results from 140 specimens produced from two basic composites were conducted. The used data as inputs in FL models are arranged in a format of six input parameters that cover the FGS type, the crack tip configuration, the thickness of graded ferritic region, the thickness of graded austenitic region, the distance of the notch from bainite or martensite intermediate layer, and Temperature. According to these input parameters, in the FL, the ductile to Brittle Transition Temperature of each FGS specimen was predicted. It has been found that FL model will be valid within the ranges of variables. The training and testing results in the FL model have shown a strong potential for predicting the ductile to Brittle Transition Temperature of each FGS specimen.

  • retraction note to modeling ductile to Brittle Transition Temperature of functionally graded steels by fuzzy logic
    Journal of Materials Science, 2011
    Co-Authors: Ali Nazari, Amir Ali Milani
    Abstract:

    In this article, a model based on fuzzy logic (FL) for predicting ductile to Brittle Transition Temperature of functionally graded steels in both crack divider and crack arrester configurations has been presented. Functionally graded steels containing graded ferritic and austenitic regions together with bainite and martensite intermediate layers were produced by electroslag remelting. For purpose of building the model, training and testing using experimental results from 140 specimens produced from two basic composites were conducted. The used data as inputs in FL models are arranged in a format of six input parameters that cover the FGS type, the crack tip configuration, the thickness of graded ferritic region, the thickness of graded austenitic region, the distance of the notch from bainite or martensite intermediate layer, and Temperature. According to these input parameters, in the FL, the ductile to Brittle Transition Temperature of each FGS specimen was predicted. It has been found that FL model will be valid within the ranges of variables. The training and testing results in the FL model have shown a strong potential for predicting the ductile to Brittle Transition Temperature of each FGS specimen.

  • Modeling Ductile-to-Brittle Transition Temperature of Functionally Graded Steels by Gene Expression Programming
    International Journal of Damage Mechanics, 2011
    Co-Authors: Amir Ali Milani, Ali Nazari
    Abstract:

    In this article, a model based on gene expression programming for pre- dicting ductile-to-Brittle Transition Temperature of functionally graded steels in both crack divider and crack arrester configurations has been presented. Functionally, graded steels containing graded ferritic and austenitic regions together with bainite and martensite intermediate layers were produced by electroslag remelting. For the purpose of building the model, training and testing using experimental results from 140 specimens produced from two basic composites were conducted. The data used as input in gene expression programming models are arranged in a format of six parameters that cover the FGS type, the crack tip configuration, the thickness of graded ferritic region, the thickness of graded austenitic region, the distance of the notch from bainite or martensite intermediate layer, and Temperature. According to these input parameters, in the gene expression programming, the ductile-to-Brittle Transition Temperature of each FGS specimen was predicted. The training and testing results in the gene expression programming model have shown strong potential for predicting the ductile-to-Brittle Transition Temperature of each FGS specimens.

  • Modeling ductile to Brittle Transition Temperature of functionally graded steels by artificial neural networks
    Computational Materials Science, 2011
    Co-Authors: Ali Nazari, Amir Ali Milani, Mahnaz Zakeri
    Abstract:

    In the present paper, a model based on artificial neural networks for predicting ductile to Brittle Transition Temperature of functionally graded steels in both crack divider and crack arrester configurations has been presented. Functionally graded steels containing graded ferritic and austenitic regions together with bainite and martensite intermediate layers were produced by electroslag remelting. To build the model, training and testing were conducted using experimental results from 140 specimens produced of two basic composites. The utilized data in the multilayer feed forward neural networks models are arranged in a format of six input parameters that cover the specimen type, the crack tip configuration, the thickness of graded ferritic region, the thickness of graded austenitic region, the distance of the notch from bainite or martensite intermediate layer and Temperature. According to these input parameters, in the neural networks models, the ductile to Brittle Transition Temperature of each specimen was predicted. The training and testing results in the neural network model have shown a strong potential for predicting the ductile to Brittle Transition Temperature of each specimen.

Ali Nazari - One of the best experts on this subject based on the ideXlab platform.

  • Modeling ductile to Brittle Transition Temperature of functionally graded steels by ANFIS
    Applied Mathematical Modelling, 2012
    Co-Authors: Ali Nazari, Amir Ali Milani, Gholamreza Khalaj
    Abstract:

    Abstract In the present paper, a model based on adaptive network-based fuzzy inference systems (ANFIS) for predicting ductile to Brittle Transition Temperature of functionally graded steels in both crack divider and crack arrester configurations has been presented. Functionally graded steels containing graded ferritic and austenitic regions together with bainite and martensite intermediate layers were produced by electroslag remelting. To build the model, training and testing using experimental results from 140 specimens were conducted. The used data as inputs in ANFIS models are arranged in a format of six parameters that cover the FGS type, the crack tip configuration, the thickness of graded ferritic region, the thickness of graded austenitic region, the distance of the notch from bainite or martensite intermediate layer and Temperature. According to these input parameters, in the ANFIS models, the ductile to Brittle Transition Temperature of each FGS specimen was predicted. The training and testing results in the ANFIS models have shown a strong potential for predicting the ductile to Brittle Transition Temperature of each FGS specimen.

  • Modeling ductile to Brittle Transition Temperature of functionally graded steels by fuzzy logic
    Journal of Materials Science, 2011
    Co-Authors: Ali Nazari, Amir Ali Milani
    Abstract:

    In this article, a model based on fuzzy logic (FL) for predicting ductile to Brittle Transition Temperature of functionally graded steels in both crack divider and crack arrester configurations has been presented. Functionally graded steels containing graded ferritic and austenitic regions together with bainite and martensite intermediate layers were produced by electroslag remelting. For purpose of building the model, training and testing using experimental results from 140 specimens produced from two basic composites were conducted. The used data as inputs in FL models are arranged in a format of six input parameters that cover the FGS type, the crack tip configuration, the thickness of graded ferritic region, the thickness of graded austenitic region, the distance of the notch from bainite or martensite intermediate layer, and Temperature. According to these input parameters, in the FL, the ductile to Brittle Transition Temperature of each FGS specimen was predicted. It has been found that FL model will be valid within the ranges of variables. The training and testing results in the FL model have shown a strong potential for predicting the ductile to Brittle Transition Temperature of each FGS specimen.

  • retraction note to modeling ductile to Brittle Transition Temperature of functionally graded steels by fuzzy logic
    Journal of Materials Science, 2011
    Co-Authors: Ali Nazari, Amir Ali Milani
    Abstract:

    In this article, a model based on fuzzy logic (FL) for predicting ductile to Brittle Transition Temperature of functionally graded steels in both crack divider and crack arrester configurations has been presented. Functionally graded steels containing graded ferritic and austenitic regions together with bainite and martensite intermediate layers were produced by electroslag remelting. For purpose of building the model, training and testing using experimental results from 140 specimens produced from two basic composites were conducted. The used data as inputs in FL models are arranged in a format of six input parameters that cover the FGS type, the crack tip configuration, the thickness of graded ferritic region, the thickness of graded austenitic region, the distance of the notch from bainite or martensite intermediate layer, and Temperature. According to these input parameters, in the FL, the ductile to Brittle Transition Temperature of each FGS specimen was predicted. It has been found that FL model will be valid within the ranges of variables. The training and testing results in the FL model have shown a strong potential for predicting the ductile to Brittle Transition Temperature of each FGS specimen.

  • Modeling Ductile-to-Brittle Transition Temperature of Functionally Graded Steels by Gene Expression Programming
    International Journal of Damage Mechanics, 2011
    Co-Authors: Amir Ali Milani, Ali Nazari
    Abstract:

    In this article, a model based on gene expression programming for pre- dicting ductile-to-Brittle Transition Temperature of functionally graded steels in both crack divider and crack arrester configurations has been presented. Functionally, graded steels containing graded ferritic and austenitic regions together with bainite and martensite intermediate layers were produced by electroslag remelting. For the purpose of building the model, training and testing using experimental results from 140 specimens produced from two basic composites were conducted. The data used as input in gene expression programming models are arranged in a format of six parameters that cover the FGS type, the crack tip configuration, the thickness of graded ferritic region, the thickness of graded austenitic region, the distance of the notch from bainite or martensite intermediate layer, and Temperature. According to these input parameters, in the gene expression programming, the ductile-to-Brittle Transition Temperature of each FGS specimen was predicted. The training and testing results in the gene expression programming model have shown strong potential for predicting the ductile-to-Brittle Transition Temperature of each FGS specimens.

  • Modeling ductile to Brittle Transition Temperature of functionally graded steels by artificial neural networks
    Computational Materials Science, 2011
    Co-Authors: Ali Nazari, Amir Ali Milani, Mahnaz Zakeri
    Abstract:

    In the present paper, a model based on artificial neural networks for predicting ductile to Brittle Transition Temperature of functionally graded steels in both crack divider and crack arrester configurations has been presented. Functionally graded steels containing graded ferritic and austenitic regions together with bainite and martensite intermediate layers were produced by electroslag remelting. To build the model, training and testing were conducted using experimental results from 140 specimens produced of two basic composites. The utilized data in the multilayer feed forward neural networks models are arranged in a format of six input parameters that cover the specimen type, the crack tip configuration, the thickness of graded ferritic region, the thickness of graded austenitic region, the distance of the notch from bainite or martensite intermediate layer and Temperature. According to these input parameters, in the neural networks models, the ductile to Brittle Transition Temperature of each specimen was predicted. The training and testing results in the neural network model have shown a strong potential for predicting the ductile to Brittle Transition Temperature of each specimen.

Y J Chao - One of the best experts on this subject based on the ideXlab platform.

  • charpy impact energy fracture toughness and ductile Brittle Transition Temperature of dual phase 590 steel
    Materials & Design, 2007
    Co-Authors: Y J Chao, J D Ward, R G Sands
    Abstract:

    Abstract Advanced high strength steels (AHSS) have been introduced and gradually adopted in vehicle structures as lightweight materials in the past years. Engineering performance of AHSS in many areas have shown that they are superior to the conventional steels. In this paper, we present the results from Charpy V-Notch impact tests on dual phase 590 (DP590) steel, which belongs to the family of AHSS. Tests were conducted at Temperatures ranging from −120 °C (−184 °F) to 90 °C (194 °F). Specimens oriented in both L–T and T–L directions were tested. Due to its reduced thickness relative to the ASTM testing standards, specimens from a medium low carbon steel AISI-1018, having both standard and reduced thickness, were tested as well to justify the correction method for the DP590 data. The results show that the ductile–Brittle Transition Temperature (DBTT) based on 20.4 J (15 ft-lb) absorbed energy is about −95 °C (−139 °F) for DP590 which is far below the 5 °C (41 °F) of the AISI-1018 steel. In addition, fracture toughness values of DP590 steel were obtained from correlation with the Charpy impact energy. It is shown that that the fracture toughness of DP590 is in the range of 160–200 MPa m 1/2 (146–182 ksi in. 1/2 ) in the upper shelf region, which includes the room Temperature.

  • charpy impact energy fracture toughness and ductile Brittle Transition Temperature of dual phase 590 steel
    Materials & Design, 2007
    Co-Authors: Y J Chao, J D Ward, R G Sands
    Abstract:

    Abstract Advanced high strength steels (AHSS) have been introduced and gradually adopted in vehicle structures as lightweight materials in the past years. Engineering performance of AHSS in many areas have shown that they are superior to the conventional steels. In this paper, we present the results from Charpy V-Notch impact tests on dual phase 590 (DP590) steel, which belongs to the family of AHSS. Tests were conducted at Temperatures ranging from −120 °C (−184 °F) to 90 °C (194 °F). Specimens oriented in both L–T and T–L directions were tested. Due to its reduced thickness relative to the ASTM testing standards, specimens from a medium low carbon steel AISI-1018, having both standard and reduced thickness, were tested as well to justify the correction method for the DP590 data. The results show that the ductile–Brittle Transition Temperature (DBTT) based on 20.4 J (15 ft-lb) absorbed energy is about −95 °C (−139 °F) for DP590 which is far below the 5 °C (41 °F) of the AISI-1018 steel. In addition, fracture toughness values of DP590 steel were obtained from correlation with the Charpy impact energy. It is shown that that the fracture toughness of DP590 is in the range of 160–200 MPa m 1/2 (146–182 ksi in. 1/2 ) in the upper shelf region, which includes the room Temperature.

Donald R Paul - One of the best experts on this subject based on the ideXlab platform.

  • polypropylene elastomer tpo nanocomposites 3 ductile Brittle Transition Temperature
    Polymer, 2012
    Co-Authors: Rajkiran R Tiwari, Donald R Paul
    Abstract:

    Abstract Izod impact strength was determined as a function of Temperature for polypropylene (PP)/ethylene-co-octene elastomer (EOR) blends and nanocomposites to determine the effect of PP molecular weight, elastomer MFI, EOR octene content and MMT content on the ductile-Brittle (D-B) Transition Temperature. The D-B Transition Temperature decreases with increased molecular weight of the PP (H = high, M = medium and L = low) and the addition of MMT. The D-B Transition Temperature also decreases as the elastomer particle size is decreased, and at a fixed elastomer particle sizes, the D-B Transition varies as H-PP

  • the role of matrix molecular weight in rubber toughened nylon 6 blends 3 ductile Brittle Transition Temperature
    Polymer, 1996
    Co-Authors: A J Oshinski, Henno Keskkula, Donald R Paul
    Abstract:

    Abstract Izod impact strength was measured as a function of Temperature for blends of nylon 6 with maleated and non-maleated styrene-hydrogenated butadiene-styrene triblock copolymers, SEBS, and ethylene/propylene random copolymers, EPR, to determine the effects of polyamide molecular weight, rubber type, and rubber particle size on the ductile-Brittle Transition Temperature. In general, the ductile-Brittle Transition Temperature decreases as the molecular weight of the nylon 6 matrix increases when compared at either constant maleic anhydride content of the rubber or at constant rubber particle size. Blends based on SEBS type elastomers with a standard styrene content never attain ductile-Brittle Transition Temperature below −20°C; whereas, blends generated with EPR type rubbers or a block copolymer of low styrene content can reach values as low as −50°C. This difference in ductile-Brittle Transition Temperature is related to the low Temperature mechanical properties of the rubber phase.