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Information Journal Paper

Title

BED-DEPTH ESTIMATION IN ROTARY KILN USING INVERSE PROBLEM METHOD

Pages

  37-48

Keywords

Not Registered.

Abstract

 The bed depth or the amount of charge material is an important parameter that can affect the heating, sintering, coating and moving of material along the kiln and the control process in a rotary kiln. An inverse geometry heat conduction problem is solved to detect the unknown location of the surface of the charge material or unknown bed depth in the rotary kiln. The finite volume method is employed to discretize the governing equation of the direct problem domain and the inverse model is constructed to identify the unknown boundary location. A sequence direct problem is solved in an effort to update the boundary geometry by minimizing an objective function. The objective function is constructed by summation of the squared differences between the actual and computed temperatures at the sensor locations. This function (objective function) is minimized, based on the two optimization algorithms, (L-MM) and (CGM) methods. Since, for each optimization step, a new grid is generated in the computational domain, this producer may be defined as one kind of an inverse geometry problem. In another way, by estimating the unknown location of the bed surface (bed depth) for each cross section of the kiln, the amount of charge material at this slice can be obtained.

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  • Cite

    APA: Copy

    HEYDARI, MOHAMMAD MAHDI, & FARHANIEH, B.. (2007). BED-DEPTH ESTIMATION IN ROTARY KILN USING INVERSE PROBLEM METHOD. SHARIF: CIVIL ENINEERING, NEW SERIES (23)(37), 37-48. SID. https://sid.ir/paper/128020/en

    Vancouver: Copy

    HEYDARI MOHAMMAD MAHDI, FARHANIEH B.. BED-DEPTH ESTIMATION IN ROTARY KILN USING INVERSE PROBLEM METHOD. SHARIF: CIVIL ENINEERING[Internet]. 2007;NEW SERIES (23)(37):37-48. Available from: https://sid.ir/paper/128020/en

    IEEE: Copy

    MOHAMMAD MAHDI HEYDARI, and B. FARHANIEH, “BED-DEPTH ESTIMATION IN ROTARY KILN USING INVERSE PROBLEM METHOD,” SHARIF: CIVIL ENINEERING, vol. NEW SERIES (23), no. 37, pp. 37–48, 2007, [Online]. Available: https://sid.ir/paper/128020/en

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