Parameter Design

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Jianjun Wang - One of the best experts on this subject based on the ideXlab platform.

  • grade efficiency modeling and robust Parameter Design for gas solids cyclone separators
    Powder Technology, 2019
    Co-Authors: Jianjun Wang
    Abstract:

    Abstract The performance of a cyclone separator is often measured by grade-efficiency, which captures the efficiency of separating particles of a given feed size from the dusty gas stream. Accurate prediction of grade-efficiency has huge implications on Design, safety, energy consumption, and environment. Based on comprehensive experimentation, this study exploits the best possible model to predict grade-efficiency and to conduct robust Parameter Design for minimizing the process variations. The grade-efficiency model via generalized linear mixed effects modeling (GLME) is identified to characterize grade-efficiency under uncertainties. The GLME modeling achieves 71.7% reduction compared to the ordinary linear model and 63% reduction compared to the beta regression model in prediction variability and therefore provides insights into the engineering Design of the cyclone separator system through robust Parameter Design.

  • economic Parameter Design for ultra fast laser micro drilling process
    International Journal of Production Research, 2019
    Co-Authors: Jianjun Wang, Fugee Tsung, Gang Chang
    Abstract:

    The basic requirement in this type of micro-drilling process is to achieve high product quality with the minimum machining cost, which can be realised through Parameter Design. In this paper, we pr...

  • Economic Parameter Design for ultra-fast laser micro-drilling process
    2019
    Co-Authors: Jianjun Wang, Fugee Tsung, Gang Chang
    Abstract:

    The basic requirement in this type of micro-drilling process is to achieve high product quality with the minimum machining cost, which can be realised through Parameter Design. In this paper, we propose a new economic Parameter Design under the framework of Bayesian modelling and optimisation. First of all, the Bayesian seemingly unrelated regression (SUR) models are utilised to develop the relationship models between input factors and output responses in the laser micro-drilling process. After that, simulated response values which reflect the real laser micro-drilling process are obtained by using the Gibbs sampling procedure. Moreover, a novel rejection cost function and a quality loss function are constructed based on the simulated responses. Finally, an optimisation scheme integrating the rejection cost (i.e. rework cost and scrap cost) function and the quality loss function is implemented by using multi-objective genetic algorithm to find feasible economic Parameter settings for laser micro-drilling process.

Gang Chang - One of the best experts on this subject based on the ideXlab platform.

  • economic Parameter Design for ultra fast laser micro drilling process
    International Journal of Production Research, 2019
    Co-Authors: Jianjun Wang, Fugee Tsung, Gang Chang
    Abstract:

    The basic requirement in this type of micro-drilling process is to achieve high product quality with the minimum machining cost, which can be realised through Parameter Design. In this paper, we pr...

  • Economic Parameter Design for ultra-fast laser micro-drilling process
    2019
    Co-Authors: Jianjun Wang, Fugee Tsung, Gang Chang
    Abstract:

    The basic requirement in this type of micro-drilling process is to achieve high product quality with the minimum machining cost, which can be realised through Parameter Design. In this paper, we propose a new economic Parameter Design under the framework of Bayesian modelling and optimisation. First of all, the Bayesian seemingly unrelated regression (SUR) models are utilised to develop the relationship models between input factors and output responses in the laser micro-drilling process. After that, simulated response values which reflect the real laser micro-drilling process are obtained by using the Gibbs sampling procedure. Moreover, a novel rejection cost function and a quality loss function are constructed based on the simulated responses. Finally, an optimisation scheme integrating the rejection cost (i.e. rework cost and scrap cost) function and the quality loss function is implemented by using multi-objective genetic algorithm to find feasible economic Parameter settings for laser micro-drilling process.

Fugee Tsung - One of the best experts on this subject based on the ideXlab platform.

  • economic Parameter Design for ultra fast laser micro drilling process
    International Journal of Production Research, 2019
    Co-Authors: Jianjun Wang, Fugee Tsung, Gang Chang
    Abstract:

    The basic requirement in this type of micro-drilling process is to achieve high product quality with the minimum machining cost, which can be realised through Parameter Design. In this paper, we pr...

  • Economic Parameter Design for ultra-fast laser micro-drilling process
    2019
    Co-Authors: Jianjun Wang, Fugee Tsung, Gang Chang
    Abstract:

    The basic requirement in this type of micro-drilling process is to achieve high product quality with the minimum machining cost, which can be realised through Parameter Design. In this paper, we propose a new economic Parameter Design under the framework of Bayesian modelling and optimisation. First of all, the Bayesian seemingly unrelated regression (SUR) models are utilised to develop the relationship models between input factors and output responses in the laser micro-drilling process. After that, simulated response values which reflect the real laser micro-drilling process are obtained by using the Gibbs sampling procedure. Moreover, a novel rejection cost function and a quality loss function are constructed based on the simulated responses. Finally, an optimisation scheme integrating the rejection cost (i.e. rework cost and scrap cost) function and the quality loss function is implemented by using multi-objective genetic algorithm to find feasible economic Parameter settings for laser micro-drilling process.

Leon M Tolbert - One of the best experts on this subject based on the ideXlab platform.

  • d q impedance based stability analysis and Parameter Design of three phase inverter based ac power systems
    IEEE Transactions on Industrial Electronics, 2017
    Co-Authors: Wenchao Cao, Liu Yang, Fei Wang, Leon M Tolbert
    Abstract:

    Small-signal stability is an important concern in three-phase inverter-based ac power systems. The impedance-based approach based on the generalized Nyquist stability criterion (GNC) can analyze the stability related with the medium and high-frequency modes of the systems. However,. the GNC involves the right-half-plane (RHP) pole calculation of return-ratio transfer function matrices, which cannot be avoided for stability analysis of complicated ac power systems. Therefore, it necessitates the detailed internal control information of the inverters, which is not normally available for commercial inverters. To address this issue, this paper introduces the component connection method (CCM) in the frequency domain for stability analysis in the synchronous d–q frame, by proposing a method of deriving the impedance matrix of the connection networks of inverter-based ac power systems. Demonstration on a two-area system and a microgrid shows that: The CCM-enabled approach can avoid the RHP pole calculation of return-ratio matrices and enables the stability analysis by using only the impedances of system components, which could be measured without the need for the internal information. A stability analysis method based on d–q impedances, the CCM, and the determinant-based GNC is also proposed to further simplify the analysis process. Inverter controller Parameters can be Designed as stability regions in Parameter spaces, by repetitively applying the proposed stability analysis method. Simulation and experimental results verify the validity of the proposed stability analysis method and the Parameter Design approach.

Fred Wang - One of the best experts on this subject based on the ideXlab platform.

  • sequence impedance based harmonic stability analysis and controller Parameter Design of three phase inverter based multibus ac power systems
    IEEE Transactions on Power Electronics, 2017
    Co-Authors: Fred Wang
    Abstract:

    Three-phase inverter-based multibus ac power systems could suffer from the harmonic instability issue. The existing impedance-based stability analysis method using the Nyquist stability criterion once requires the calculation of right-half-plane (RHP) poles of impedance ratios, which would result in a heavy computation burden for complicated systems. In order to analyze the harmonic stability of multibus ac systems consisting of both voltage-controlled and current-controlled inverters without the need for RHP pole calculation, this paper proposes two sequence-impedance-based harmonic stability analysis methods. Based on the summary of all major connection types including mesh, the proposed Method 1 can analyze the harmonic stability of multibus ac systems by adding the components one by one from nodes in the lowest level to areas in the highest system level, and accordingly, applying the stability criteria multiple times in succession. The proposed Method 2 is a generalized extension of the impedance-sum-type criterion to be used for the harmonic stability analysis of any multibus ac systems based on Cauchy's theorem. The inverter controller Parameters can be Designed in the forms of stability regions in the Parameter space, by repetitively applying the proposed harmonic stability analysis methods. Experimental results of inverter-based multibus ac systems validate the effectiveness of the proposed harmonic stability analysis methods and Parameter Design approach.

  • stability criterion and controller Parameter Design of radial line renewable systems with multiple inverters
    Applied Power Electronics Conference, 2016
    Co-Authors: Xuan Zhang, Fred Wang
    Abstract:

    To address the instability issue in renewable systems of a radial-line structure with multiple current-controlled interface inverters, this paper proposes a practical stability criterion to easily analyze the system stability and a controller Parameter Design method to guarantee stable system operation with good oscillation damping performance. The proposed impedance-based sufficient stability criterion does not need the pole calculation of the return ratio matrices, while the phase margin of the system can still be obtained for system dynamic performance evaluation. Based on the phase margin information, Design rules of inverter controller Parameters are further proposed for system stability. The output admittance model of current-controlled inverters in an arbitrary d-q frame is also derived to facilitate the stability analysis. Simulation and experimental results verify the effectiveness of the proposed stability criterion and controller Parameter Design method.