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Author: search.filters.author.Chanu, Suwapat

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    Reliability Analysis in Design of Mechanical Components
    (2023-06-02)
    Chanu, Suwapat
    ;
    Wattanathorn, Alfan
    ;
    Senpong, Moses
    ;
    Sleesongsom, Suwin
    This research proposes to study reliability values for the parameters of mechanical components using a Latin hypercube sampling (LHS), an optimum Latin hypercube sampling (OLHS) and Monte Carlo simulation (MCS). The traditional MCS is known that can reduce computational burden in generating random variable when compare with a full factorial sampling. The variant of LHS is also developed to accomplish the time consumption of the MCS, which expects to fit very well result with the traditional one. To study the performance in generate the random variable of the various LHS, in this research provided the state function that was applied to estimate the reliability of mechanical components such as a connecting rod, a leaf spring, a vehicle half-shaft, a rear axle housing, and a front axle, all of which had non-normal distributions. This research provides methodology that obtained probability of reliability of mechanical components practical engineering and can extend to design aircraft wing structure in the future.
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    Reliability-Based Design Optimization of a Goland Wing with a Two-Step Approach
    (2022-01-01)
    Chanu, Suwapat
    ;
    Wattanathorn, Alfan
    ;
    Senpong, Moses
    ;
    Sleesongsom, Suwin
    This research proposes to design a Goland wing structure using a two-step approach that concerns the last step uncertainty. The first step starts with performing the design optimization for multi-purposes followed by the design of wing mass, stress, and buckling factor and the reliability test of all solution set. Due to the aircraft wing being subjected to aerodynamics loads, both the structure failure and the material can deviate from the optimum result. A vortex lattice method is used for aerodynamics analysis, the finite element method is analyzed by the structural failure. These techniques are expected to reduce the complexity of Reliability-Based Design Optimization (RBDO). The Latin hypercube sampling method is used to quantify uncertainties of the aircraft wing structural design so that the experimental results including the solution sets are more acceptable and reliable which the proposed approach can be an alternative way for the RBDO technique.
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