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Aircraft Material

The Experts below are selected from a list of 87 Experts worldwide ranked by ideXlab platform

Shishir Kumar Sahu – One of the best experts on this subject based on the ideXlab platform.

  • Parametric Resonance Characteristics of Woven Fiber Metal Laminated Plates
    International Journal of Applied Mechanics, 2019
    Co-Authors: Elluri Venkata Prasad, Shishir Kumar Sahu

    Abstract:

    The present investigation deals with the assessment of parametric resonance behavior of new Aircraft Material, i.e., woven fiber metal laminated (FML) plates subjected to in-plane static and harmon…

  • Vibration Analysis of Woven Fiber Metal Laminated Plates — Experimental and Numerical Studies
    International Journal of Structural Stability and Dynamics, 2018
    Co-Authors: Elluri Venkata Prasad, Shishir Kumar Sahu

    Abstract:

    The present study deals with numerical and experimental investigations on the vibration behavior of fiber-metal-laminated (FML) plates, a new Aircraft Material. A finite element (FE)-based formulat…

Hongxia Cai – One of the best experts on this subject based on the ideXlab platform.

  • Quality-Oriented Classification of Aircraft Material Based on SVM
    Mathematical Problems in Engineering, 2014
    Co-Authors: Hongxia Cai, Chenglong Xia

    Abstract:

    The existing Material classification is proposed to improve the inventory management. However, different Materials have the different quality-related attributes, especially in the Aircraft industry. In order to reduce the cost without sacrificing the quality, we propose a quality-oriented Material classification system considering the Material quality character, Quality cost, and Quality influence. Analytic Hierarchy Process helps to make feature selection and classification decision. We use the improved Kraljic Portfolio Matrix to establish the three-dimensional classification model. The Aircraft Materials can be divided into eight types, including general type, key type, risk type, and leveraged type. Aiming to improve the classification accuracy of various Materials, the algorithm of Support Vector Machine is introduced. Finally, we compare the SVM and BP neural network in the application. The results prove that the SVM algorithm is more efficient and accurate and the quality-oriented Material classification is valuable.

  • Material Classification Based on SVM for Civil Aircraft
    Advanced Materials Research, 2012
    Co-Authors: Hongxia Cai

    Abstract:

    Inventory control plays a crucial role for civil Aircraft in reducing production cost to improve the competitiveness. Aiming at the special requirements of Aircraft manufacturing industry, we propose a solution to classify the Material instead of ABC inventory control. In order to balance economy and reliability, we build a new criterion system to classify the Aircraft Material into nine categories. We investigate the Support Vector Machine (SVM) method to classify the Material for it has been proved very powerful and effective in establishing classification model with small sample, nonlinearity, high dimension and local minima. The choice of corresponding parameters, the choice of the training set, and the choice of the SVM kernel highly affect the performance of the classification. The study was done to determine the appropriate kernel function and to optimize SVM’s parameters for the classification of civil Aircraft Materials. Research results prove the validity of the classification model by the software implementation.

Elluri Venkata Prasad – One of the best experts on this subject based on the ideXlab platform.

  • Parametric Resonance Characteristics of Woven Fiber Metal Laminated Plates
    International Journal of Applied Mechanics, 2019
    Co-Authors: Elluri Venkata Prasad, Shishir Kumar Sahu

    Abstract:

    The present investigation deals with the assessment of parametric resonance behavior of new Aircraft Material, i.e., woven fiber metal laminated (FML) plates subjected to in-plane static and harmon…

  • Vibration Analysis of Woven Fiber Metal Laminated Plates — Experimental and Numerical Studies
    International Journal of Structural Stability and Dynamics, 2018
    Co-Authors: Elluri Venkata Prasad, Shishir Kumar Sahu

    Abstract:

    The present study deals with numerical and experimental investigations on the vibration behavior of fiber-metal-laminated (FML) plates, a new Aircraft Material. A finite element (FE)-based formulat…