The Experts below are selected from a list of 15 Experts worldwide ranked by ideXlab platform

Yongquan Ning - One of the best experts on this subject based on the ideXlab platform.

  • The Deformation Behavior, Microstructural Mechanism, and Process Optimization of PM/Wrought Dual Superalloys for Manufacturing the Dual-Property Turbine Disc
    Metals, 2019
    Co-Authors: Baoyun Zhang, Xiaoming Liu, H. Yang, Yongquan Ning
    Abstract:

    With the rapid development of modern aviation industry, dual-property turbine disc with fine comprehensive performance plays an important role in raising the thrust-to-weight ratio of the aero-engine. For manufacturing dual-property turbine disc, the powder metallurgy superalloy (PM) with excellent creep resistance was chosen as rim material, and the wrought superalloy with fine equiaxed grains was chosen as bore material. Electron beam welding was carried out on the PM/wrought dual superalloys. Hot compression tests were conducted on the PM/Wrought dual superalloys at temperatures of 1020–1140 °C and strain rates of 0.001–1.0 s−1. Deformation behavior and microstructure evolution have been investigated to study the deformation and recrystallization mechanism during hot deformation process. The results showed that PM/Wrought dual superalloy presents the similar flow behavior to single alloys and flow stress decreases significantly with the increase of deformation temperature or the decrease of strain rate. The apparent activation energy of deformation at the strain of 0.2 was determined as being 780.07 kJ·mol−1. The constitutive equation was constructed for modeling the hot deformation of PM/Wrought dual superalloy. Meanwhile, the Processing map approach was further adopted to optimize the manufacturing process for the dual-property turbine disc. Additionally, a new instability criterion was proposed: the “cliff” and “valley” in the power dissipation map are determined as sufficient conditions for flow instability. The Optimum Processing Parameter for manufacturing the PM/Wrought dual-property turbine disc can be obtained to enhance the mechanical properties, based on the analysis of Processing map technology and microstructural mechanism.

Wu Guang - One of the best experts on this subject based on the ideXlab platform.

  • Research on the Optimum Processing Parameter for lotus leaf storage
    Food Science and Technology International, 2005
    Co-Authors: Wu Guang
    Abstract:

    Fresh lotus leaf sterilized with bactericide were dipped in solutions of either calcium chloride(CaCl2) orphytic acid (PA), then were dried at different conditions (temperature, time) and storaged at ambient tempera-ture. The results showed that: (1)CaCl2 dips could restrain water vaporizing and improved extensibility of lotusleaf. (2)PA could not only kill germs but also could maintain moisture content of lotus leaf, thus the pliability andtoughness of lotus leaf was strengthened. (3)The Optimum Processing Parameter was: the lotus leaf was dippedin solution of 5% CaCl2 for 15 minutes and 0.1% PA for 10 minutes, then dried at 60℃ for 50 minutes or dippedin solution of 5% CaCl2 for 10 minutes and 1% PA for 10 minutes, then dried at 70℃for 30 minutes.

Xiu Wu Sui - One of the best experts on this subject based on the ideXlab platform.

  • Research on Optimum Processing Parameter of EDM Based on Support Vector Machine
    Applied Mechanics and Materials, 2015
    Co-Authors: Hao Jiang, Yuan Lin, Shuo Wang, Xiu Wu Sui
    Abstract:

    The Processing mechanism of electrical discharge machining (EDM) is complex and there are many factors affecting it, therefore the process Parameter is very important for Processing quality. This paper analyses the relationship between electric Parameter and Processing quality, then uses support vector machine (SVM) to predict the Optimum electric Parameter. The simulation result shows that the highest prediction accuracy is 96.10%, the lowest is 89.20%, average accuracy is 94.28%, indicating that the algorithm stability and generalization ability are outstanding. Further verified by experiment, the highest prediction accuracy can amount to 92.65%, the lowest is 81.5%, average accuracy is 89.38%, and electric Parameter optimized by SVM can guarantee the expected Processing effect better. The exploration in EDM intelligent machining will be convenient for operators to determine the most effective machining conditions.

Baoyun Zhang - One of the best experts on this subject based on the ideXlab platform.

  • The Deformation Behavior, Microstructural Mechanism, and Process Optimization of PM/Wrought Dual Superalloys for Manufacturing the Dual-Property Turbine Disc
    Metals, 2019
    Co-Authors: Baoyun Zhang, Xiaoming Liu, H. Yang, Yongquan Ning
    Abstract:

    With the rapid development of modern aviation industry, dual-property turbine disc with fine comprehensive performance plays an important role in raising the thrust-to-weight ratio of the aero-engine. For manufacturing dual-property turbine disc, the powder metallurgy superalloy (PM) with excellent creep resistance was chosen as rim material, and the wrought superalloy with fine equiaxed grains was chosen as bore material. Electron beam welding was carried out on the PM/wrought dual superalloys. Hot compression tests were conducted on the PM/Wrought dual superalloys at temperatures of 1020–1140 °C and strain rates of 0.001–1.0 s−1. Deformation behavior and microstructure evolution have been investigated to study the deformation and recrystallization mechanism during hot deformation process. The results showed that PM/Wrought dual superalloy presents the similar flow behavior to single alloys and flow stress decreases significantly with the increase of deformation temperature or the decrease of strain rate. The apparent activation energy of deformation at the strain of 0.2 was determined as being 780.07 kJ·mol−1. The constitutive equation was constructed for modeling the hot deformation of PM/Wrought dual superalloy. Meanwhile, the Processing map approach was further adopted to optimize the manufacturing process for the dual-property turbine disc. Additionally, a new instability criterion was proposed: the “cliff” and “valley” in the power dissipation map are determined as sufficient conditions for flow instability. The Optimum Processing Parameter for manufacturing the PM/Wrought dual-property turbine disc can be obtained to enhance the mechanical properties, based on the analysis of Processing map technology and microstructural mechanism.

Hao Jiang - One of the best experts on this subject based on the ideXlab platform.

  • Research on Optimum Processing Parameter of EDM Based on Support Vector Machine
    Applied Mechanics and Materials, 2015
    Co-Authors: Hao Jiang, Yuan Lin, Shuo Wang, Xiu Wu Sui
    Abstract:

    The Processing mechanism of electrical discharge machining (EDM) is complex and there are many factors affecting it, therefore the process Parameter is very important for Processing quality. This paper analyses the relationship between electric Parameter and Processing quality, then uses support vector machine (SVM) to predict the Optimum electric Parameter. The simulation result shows that the highest prediction accuracy is 96.10%, the lowest is 89.20%, average accuracy is 94.28%, indicating that the algorithm stability and generalization ability are outstanding. Further verified by experiment, the highest prediction accuracy can amount to 92.65%, the lowest is 81.5%, average accuracy is 89.38%, and electric Parameter optimized by SVM can guarantee the expected Processing effect better. The exploration in EDM intelligent machining will be convenient for operators to determine the most effective machining conditions.