The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform

Wilfried Eichlseder - One of the best experts on this subject based on the ideXlab platform.

  • Damage prediction for un-coated and coated aluminum alloys under thermal and mechanical fatigue loadings based on a modified Plastic Strain Energy approach
    Materials & Design, 2015
    Co-Authors: Mohammad Azadi, Gholam Hossein Farrahi, Gerhard Winter, Patrik Huter, Wilfried Eichlseder
    Abstract:

    Abstract In this article, a novel Energy-based lifetime prediction model has been presented for uncoated and coated aluminum alloys, subjected to thermal and mechanical fatigue loadings. For this objective, isothermal and thermo-mechanical fatigue tests were performed on the A356.0 alloy, with and without thermal barrier coating systems. This model, which was based on the Plastic Strain Energy, had three correction factors including temperature, Strain and mean stress effects. The predicted lifetime showed a proper agreement with experimental data. By the present model, higher accuracy was obtained in comparison to other existed approaches. Besides, the present model had lower number of material constants.

  • a new Energy based isothermal and thermo mechanical fatigue lifetime prediction model for aluminium silicon magnesium alloy
    Fatigue & Fracture of Engineering Materials & Structures, 2013
    Co-Authors: Gholam Hossein Farrahi, Mohammad Azadi, Gerhard Winter, Wilfried Eichlseder
    Abstract:

    In this paper, a new fatigue lifetime prediction model is presented for the aluminium–silicon–magnesium alloy, A356.0. This model is based on the Plastic Strain Energy density per cycle including two correction factors in order to consider the effect of the mean stress and the maximum temperature. The thermal term considers creep and oxidation damages in A356.0 alloy. To calibrate the model, isothermal fatigue and out-of-phase thermo-mechanical fatigue (TMF) tests were conducted on the A356.0 alloy. Results showed an improvement in predicting fatigue lifetimes by the present model in comparison with classical theories and also the Plastic Strain Energy density (without any correction factors). Therefore, this model is applicable for TMF, low cycle fatigue (LCF) and both TMF/LCF lifetimes of the A356.0 alloy. Furthermore, this model can be easily used for the estimation of thermo-mechanical conditions in components such as cylinder heads.

  • A new Energy-based isothermal and thermo-mechanical fatigue lifetime prediction model for aluminium–silicon–magnesium alloy
    Fatigue & Fracture of Engineering Materials & Structures, 2013
    Co-Authors: Gholam Hossein Farrahi, Mohammad Azadi, Gerhard Winter, Wilfried Eichlseder
    Abstract:

    In this paper, a new fatigue lifetime prediction model is presented for the aluminium–silicon–magnesium alloy, A356.0. This model is based on the Plastic Strain Energy density per cycle including two correction factors in order to consider the effect of the mean stress and the maximum temperature. The thermal term considers creep and oxidation damages in A356.0 alloy. To calibrate the model, isothermal fatigue and out-of-phase thermo-mechanical fatigue (TMF) tests were conducted on the A356.0 alloy. Results showed an improvement in predicting fatigue lifetimes by the present model in comparison with classical theories and also the Plastic Strain Energy density (without any correction factors). Therefore, this model is applicable for TMF, low cycle fatigue (LCF) and both TMF/LCF lifetimes of the A356.0 alloy. Furthermore, this model can be easily used for the estimation of thermo-mechanical conditions in components such as cylinder heads.

  • A new Energy‐based isothermal and thermo‐mechanical fatigue lifetime prediction model for aluminium–silicon–magnesium alloy
    Fatigue & Fracture of Engineering Materials & Structures, 2013
    Co-Authors: Gholam Hossein Farrahi, Mohammad Azadi, Gerhard Winter, Wilfried Eichlseder
    Abstract:

    In this paper, a new fatigue lifetime prediction model is presented for the aluminium–silicon–magnesium alloy, A356.0. This model is based on the Plastic Strain Energy density per cycle including two correction factors in order to consider the effect of the mean stress and the maximum temperature. The thermal term considers creep and oxidation damages in A356.0 alloy. To calibrate the model, isothermal fatigue and out-of-phase thermo-mechanical fatigue (TMF) tests were conducted on the A356.0 alloy. Results showed an improvement in predicting fatigue lifetimes by the present model in comparison with classical theories and also the Plastic Strain Energy density (without any correction factors). Therefore, this model is applicable for TMF, low cycle fatigue (LCF) and both TMF/LCF lifetimes of the A356.0 alloy. Furthermore, this model can be easily used for the estimation of thermo-mechanical conditions in components such as cylinder heads.

Mohammad Azadi - One of the best experts on this subject based on the ideXlab platform.

  • Damage prediction for un-coated and coated aluminum alloys under thermal and mechanical fatigue loadings based on a modified Plastic Strain Energy approach
    Materials & Design, 2015
    Co-Authors: Mohammad Azadi, Gholam Hossein Farrahi, Gerhard Winter, Patrik Huter, Wilfried Eichlseder
    Abstract:

    Abstract In this article, a novel Energy-based lifetime prediction model has been presented for uncoated and coated aluminum alloys, subjected to thermal and mechanical fatigue loadings. For this objective, isothermal and thermo-mechanical fatigue tests were performed on the A356.0 alloy, with and without thermal barrier coating systems. This model, which was based on the Plastic Strain Energy, had three correction factors including temperature, Strain and mean stress effects. The predicted lifetime showed a proper agreement with experimental data. By the present model, higher accuracy was obtained in comparison to other existed approaches. Besides, the present model had lower number of material constants.

  • a new Energy based isothermal and thermo mechanical fatigue lifetime prediction model for aluminium silicon magnesium alloy
    Fatigue & Fracture of Engineering Materials & Structures, 2013
    Co-Authors: Gholam Hossein Farrahi, Mohammad Azadi, Gerhard Winter, Wilfried Eichlseder
    Abstract:

    In this paper, a new fatigue lifetime prediction model is presented for the aluminium–silicon–magnesium alloy, A356.0. This model is based on the Plastic Strain Energy density per cycle including two correction factors in order to consider the effect of the mean stress and the maximum temperature. The thermal term considers creep and oxidation damages in A356.0 alloy. To calibrate the model, isothermal fatigue and out-of-phase thermo-mechanical fatigue (TMF) tests were conducted on the A356.0 alloy. Results showed an improvement in predicting fatigue lifetimes by the present model in comparison with classical theories and also the Plastic Strain Energy density (without any correction factors). Therefore, this model is applicable for TMF, low cycle fatigue (LCF) and both TMF/LCF lifetimes of the A356.0 alloy. Furthermore, this model can be easily used for the estimation of thermo-mechanical conditions in components such as cylinder heads.

  • A new Energy-based isothermal and thermo-mechanical fatigue lifetime prediction model for aluminium–silicon–magnesium alloy
    Fatigue & Fracture of Engineering Materials & Structures, 2013
    Co-Authors: Gholam Hossein Farrahi, Mohammad Azadi, Gerhard Winter, Wilfried Eichlseder
    Abstract:

    In this paper, a new fatigue lifetime prediction model is presented for the aluminium–silicon–magnesium alloy, A356.0. This model is based on the Plastic Strain Energy density per cycle including two correction factors in order to consider the effect of the mean stress and the maximum temperature. The thermal term considers creep and oxidation damages in A356.0 alloy. To calibrate the model, isothermal fatigue and out-of-phase thermo-mechanical fatigue (TMF) tests were conducted on the A356.0 alloy. Results showed an improvement in predicting fatigue lifetimes by the present model in comparison with classical theories and also the Plastic Strain Energy density (without any correction factors). Therefore, this model is applicable for TMF, low cycle fatigue (LCF) and both TMF/LCF lifetimes of the A356.0 alloy. Furthermore, this model can be easily used for the estimation of thermo-mechanical conditions in components such as cylinder heads.

  • A new Energy‐based isothermal and thermo‐mechanical fatigue lifetime prediction model for aluminium–silicon–magnesium alloy
    Fatigue & Fracture of Engineering Materials & Structures, 2013
    Co-Authors: Gholam Hossein Farrahi, Mohammad Azadi, Gerhard Winter, Wilfried Eichlseder
    Abstract:

    In this paper, a new fatigue lifetime prediction model is presented for the aluminium–silicon–magnesium alloy, A356.0. This model is based on the Plastic Strain Energy density per cycle including two correction factors in order to consider the effect of the mean stress and the maximum temperature. The thermal term considers creep and oxidation damages in A356.0 alloy. To calibrate the model, isothermal fatigue and out-of-phase thermo-mechanical fatigue (TMF) tests were conducted on the A356.0 alloy. Results showed an improvement in predicting fatigue lifetimes by the present model in comparison with classical theories and also the Plastic Strain Energy density (without any correction factors). Therefore, this model is applicable for TMF, low cycle fatigue (LCF) and both TMF/LCF lifetimes of the A356.0 alloy. Furthermore, this model can be easily used for the estimation of thermo-mechanical conditions in components such as cylinder heads.

  • A new low cycle fatigue lifetime prediction model for magnesium alloy based on modified Plastic Strain Energy approach
    Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering, 2013
    Co-Authors: Mohammad Azadi, Gholam Hossein Farrahi
    Abstract:

    Nowadays, the technology intends to use materials such as magnesium alloys due to their high strength to weight ratio in engine components. As usual, engine cylinder heads and blocks has made of various types of cast irons and aluminum alloys. However, magnesium alloys has physical and mechanical properties near to aluminum alloys and reduce the weight up to 40 percents. In this article, a new low cycle fatigue lifetime prediction model is presented for a magnesium alloy based on Energy approach and to obtain this objective, the results of low cycle fatigue tests on magnesium specimens are used. The presented model has lower material constants in comparison to other criteria and also has proper accuracy; because in Energy approaches, a Plastic work-lifetime relation is used where the Plastic work is the multiple of stress and Plastic Strain. According to cyclic softening behaviors of magnesium and aluminum alloys, Plastic Strain Energy can be proper selection, because of being constant the product value of stress and Plastic Strain during fatigue loadings. In addition, the effect of mean stress is applied to the low cycle fatigue lifetime prediction model by using a correction factor. The results of presented models show proper conformation to experimental results.

Gholam Hossein Farrahi - One of the best experts on this subject based on the ideXlab platform.

  • Damage prediction for un-coated and coated aluminum alloys under thermal and mechanical fatigue loadings based on a modified Plastic Strain Energy approach
    Materials & Design, 2015
    Co-Authors: Mohammad Azadi, Gholam Hossein Farrahi, Gerhard Winter, Patrik Huter, Wilfried Eichlseder
    Abstract:

    Abstract In this article, a novel Energy-based lifetime prediction model has been presented for uncoated and coated aluminum alloys, subjected to thermal and mechanical fatigue loadings. For this objective, isothermal and thermo-mechanical fatigue tests were performed on the A356.0 alloy, with and without thermal barrier coating systems. This model, which was based on the Plastic Strain Energy, had three correction factors including temperature, Strain and mean stress effects. The predicted lifetime showed a proper agreement with experimental data. By the present model, higher accuracy was obtained in comparison to other existed approaches. Besides, the present model had lower number of material constants.

  • a new Energy based isothermal and thermo mechanical fatigue lifetime prediction model for aluminium silicon magnesium alloy
    Fatigue & Fracture of Engineering Materials & Structures, 2013
    Co-Authors: Gholam Hossein Farrahi, Mohammad Azadi, Gerhard Winter, Wilfried Eichlseder
    Abstract:

    In this paper, a new fatigue lifetime prediction model is presented for the aluminium–silicon–magnesium alloy, A356.0. This model is based on the Plastic Strain Energy density per cycle including two correction factors in order to consider the effect of the mean stress and the maximum temperature. The thermal term considers creep and oxidation damages in A356.0 alloy. To calibrate the model, isothermal fatigue and out-of-phase thermo-mechanical fatigue (TMF) tests were conducted on the A356.0 alloy. Results showed an improvement in predicting fatigue lifetimes by the present model in comparison with classical theories and also the Plastic Strain Energy density (without any correction factors). Therefore, this model is applicable for TMF, low cycle fatigue (LCF) and both TMF/LCF lifetimes of the A356.0 alloy. Furthermore, this model can be easily used for the estimation of thermo-mechanical conditions in components such as cylinder heads.

  • A new Energy-based isothermal and thermo-mechanical fatigue lifetime prediction model for aluminium–silicon–magnesium alloy
    Fatigue & Fracture of Engineering Materials & Structures, 2013
    Co-Authors: Gholam Hossein Farrahi, Mohammad Azadi, Gerhard Winter, Wilfried Eichlseder
    Abstract:

    In this paper, a new fatigue lifetime prediction model is presented for the aluminium–silicon–magnesium alloy, A356.0. This model is based on the Plastic Strain Energy density per cycle including two correction factors in order to consider the effect of the mean stress and the maximum temperature. The thermal term considers creep and oxidation damages in A356.0 alloy. To calibrate the model, isothermal fatigue and out-of-phase thermo-mechanical fatigue (TMF) tests were conducted on the A356.0 alloy. Results showed an improvement in predicting fatigue lifetimes by the present model in comparison with classical theories and also the Plastic Strain Energy density (without any correction factors). Therefore, this model is applicable for TMF, low cycle fatigue (LCF) and both TMF/LCF lifetimes of the A356.0 alloy. Furthermore, this model can be easily used for the estimation of thermo-mechanical conditions in components such as cylinder heads.

  • A new Energy‐based isothermal and thermo‐mechanical fatigue lifetime prediction model for aluminium–silicon–magnesium alloy
    Fatigue & Fracture of Engineering Materials & Structures, 2013
    Co-Authors: Gholam Hossein Farrahi, Mohammad Azadi, Gerhard Winter, Wilfried Eichlseder
    Abstract:

    In this paper, a new fatigue lifetime prediction model is presented for the aluminium–silicon–magnesium alloy, A356.0. This model is based on the Plastic Strain Energy density per cycle including two correction factors in order to consider the effect of the mean stress and the maximum temperature. The thermal term considers creep and oxidation damages in A356.0 alloy. To calibrate the model, isothermal fatigue and out-of-phase thermo-mechanical fatigue (TMF) tests were conducted on the A356.0 alloy. Results showed an improvement in predicting fatigue lifetimes by the present model in comparison with classical theories and also the Plastic Strain Energy density (without any correction factors). Therefore, this model is applicable for TMF, low cycle fatigue (LCF) and both TMF/LCF lifetimes of the A356.0 alloy. Furthermore, this model can be easily used for the estimation of thermo-mechanical conditions in components such as cylinder heads.

  • A new low cycle fatigue lifetime prediction model for magnesium alloy based on modified Plastic Strain Energy approach
    Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering, 2013
    Co-Authors: Mohammad Azadi, Gholam Hossein Farrahi
    Abstract:

    Nowadays, the technology intends to use materials such as magnesium alloys due to their high strength to weight ratio in engine components. As usual, engine cylinder heads and blocks has made of various types of cast irons and aluminum alloys. However, magnesium alloys has physical and mechanical properties near to aluminum alloys and reduce the weight up to 40 percents. In this article, a new low cycle fatigue lifetime prediction model is presented for a magnesium alloy based on Energy approach and to obtain this objective, the results of low cycle fatigue tests on magnesium specimens are used. The presented model has lower material constants in comparison to other criteria and also has proper accuracy; because in Energy approaches, a Plastic work-lifetime relation is used where the Plastic work is the multiple of stress and Plastic Strain. According to cyclic softening behaviors of magnesium and aluminum alloys, Plastic Strain Energy can be proper selection, because of being constant the product value of stress and Plastic Strain during fatigue loadings. In addition, the effect of mean stress is applied to the low cycle fatigue lifetime prediction model by using a correction factor. The results of presented models show proper conformation to experimental results.

Gerhard Winter - One of the best experts on this subject based on the ideXlab platform.

  • Damage prediction for un-coated and coated aluminum alloys under thermal and mechanical fatigue loadings based on a modified Plastic Strain Energy approach
    Materials & Design, 2015
    Co-Authors: Mohammad Azadi, Gholam Hossein Farrahi, Gerhard Winter, Patrik Huter, Wilfried Eichlseder
    Abstract:

    Abstract In this article, a novel Energy-based lifetime prediction model has been presented for uncoated and coated aluminum alloys, subjected to thermal and mechanical fatigue loadings. For this objective, isothermal and thermo-mechanical fatigue tests were performed on the A356.0 alloy, with and without thermal barrier coating systems. This model, which was based on the Plastic Strain Energy, had three correction factors including temperature, Strain and mean stress effects. The predicted lifetime showed a proper agreement with experimental data. By the present model, higher accuracy was obtained in comparison to other existed approaches. Besides, the present model had lower number of material constants.

  • a new Energy based isothermal and thermo mechanical fatigue lifetime prediction model for aluminium silicon magnesium alloy
    Fatigue & Fracture of Engineering Materials & Structures, 2013
    Co-Authors: Gholam Hossein Farrahi, Mohammad Azadi, Gerhard Winter, Wilfried Eichlseder
    Abstract:

    In this paper, a new fatigue lifetime prediction model is presented for the aluminium–silicon–magnesium alloy, A356.0. This model is based on the Plastic Strain Energy density per cycle including two correction factors in order to consider the effect of the mean stress and the maximum temperature. The thermal term considers creep and oxidation damages in A356.0 alloy. To calibrate the model, isothermal fatigue and out-of-phase thermo-mechanical fatigue (TMF) tests were conducted on the A356.0 alloy. Results showed an improvement in predicting fatigue lifetimes by the present model in comparison with classical theories and also the Plastic Strain Energy density (without any correction factors). Therefore, this model is applicable for TMF, low cycle fatigue (LCF) and both TMF/LCF lifetimes of the A356.0 alloy. Furthermore, this model can be easily used for the estimation of thermo-mechanical conditions in components such as cylinder heads.

  • A new Energy-based isothermal and thermo-mechanical fatigue lifetime prediction model for aluminium–silicon–magnesium alloy
    Fatigue & Fracture of Engineering Materials & Structures, 2013
    Co-Authors: Gholam Hossein Farrahi, Mohammad Azadi, Gerhard Winter, Wilfried Eichlseder
    Abstract:

    In this paper, a new fatigue lifetime prediction model is presented for the aluminium–silicon–magnesium alloy, A356.0. This model is based on the Plastic Strain Energy density per cycle including two correction factors in order to consider the effect of the mean stress and the maximum temperature. The thermal term considers creep and oxidation damages in A356.0 alloy. To calibrate the model, isothermal fatigue and out-of-phase thermo-mechanical fatigue (TMF) tests were conducted on the A356.0 alloy. Results showed an improvement in predicting fatigue lifetimes by the present model in comparison with classical theories and also the Plastic Strain Energy density (without any correction factors). Therefore, this model is applicable for TMF, low cycle fatigue (LCF) and both TMF/LCF lifetimes of the A356.0 alloy. Furthermore, this model can be easily used for the estimation of thermo-mechanical conditions in components such as cylinder heads.

  • A new Energy‐based isothermal and thermo‐mechanical fatigue lifetime prediction model for aluminium–silicon–magnesium alloy
    Fatigue & Fracture of Engineering Materials & Structures, 2013
    Co-Authors: Gholam Hossein Farrahi, Mohammad Azadi, Gerhard Winter, Wilfried Eichlseder
    Abstract:

    In this paper, a new fatigue lifetime prediction model is presented for the aluminium–silicon–magnesium alloy, A356.0. This model is based on the Plastic Strain Energy density per cycle including two correction factors in order to consider the effect of the mean stress and the maximum temperature. The thermal term considers creep and oxidation damages in A356.0 alloy. To calibrate the model, isothermal fatigue and out-of-phase thermo-mechanical fatigue (TMF) tests were conducted on the A356.0 alloy. Results showed an improvement in predicting fatigue lifetimes by the present model in comparison with classical theories and also the Plastic Strain Energy density (without any correction factors). Therefore, this model is applicable for TMF, low cycle fatigue (LCF) and both TMF/LCF lifetimes of the A356.0 alloy. Furthermore, this model can be easily used for the estimation of thermo-mechanical conditions in components such as cylinder heads.

Yung-chuan Chen - One of the best experts on this subject based on the ideXlab platform.

  • Effect of Plastic Strain Energy density on polymer optical fiber power losses.
    Optics letters, 2006
    Co-Authors: Yung-chuan Chen, Jao-hwa Kuang, Li-wen Chen, Hua-chun Chuang
    Abstract:

    We explore the dependence of power losses on average Plastic Energy densities as rays propagate along deformed polymer optical fibers (POFs). The variation of power losses in deformed POFs with different bend radii and elongations are measured and analyzed. Three-dimensional elastic-Plastic finite-element models are used to calculate average Plastic Energy densities in deformed POFs. The results indicate that the average Plastic Energy density introduced in a deformed POF can be considered a key index with which to study the power loss. Based on the experimental results, a curve-fitted equation is proposed for estimating the power loss by using the average Plastic Energy density for various bend radii.

  • The tip Plastic Strain Energy applied to ductile fracture initiation under mixed-mode loading
    Engineering Fracture Mechanics, 1997
    Co-Authors: Jao-hwa Kuang, Yung-chuan Chen
    Abstract:

    Abstract Crack tip Plastic Strain Energy is considered for characterizing a mixed-mode crack initiation. It is postulated that mixed-mode cracking for a Strain hardening material begins as the crack tip Plastic Strain Energy approaches a critical Plastic Strain Energy. The corresponding crack tip Plastic Strain Energy at a pure mode I initiation is considered as the crack initiation criterion. The crack initiation loads for various mixed-mode crack specimens made of D16AT aluminum alloy are then predicted. The predicted crack initiation loads correlate well with the experimental data available.