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The application of imperialist competitive algorithm for optimization of deposition rate in submerged arc welding process using TiO2 nano particle

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Abstract

We used a novel optimization algorithm based on the imperialist competitive algorithm (ICA) to optimize the deposition rate in the submerged arc welding (SAW) process. This algorithm offers some advantages such as simplicity, accuracy and time saving. Experiments were conducted based on a five factor, five level rotatable central composite design (RCCD) to collect welding data for deposition rate as a function of welding current, arc voltage, contact tip to plate distance, welding speed and thickness of TiO2 nanoparticles coated on the plates of mild steel. Furthermore, regression equation for deposition rate was obtained using least squares method. The regression equation as the cost function was optimized using ICA. Ultimately, the levels of input variables to achieve maximum deposition rate were obtained using ICA. Computational results indicate that the proposed algorithm is quite effective and powerful in optimizing the cost function.

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Author information

Authors and Affiliations

  1. Young Researchers and Elites Club, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran

    Mohammad Reza Ghaderi

  2. Mechanical Engineering Department, Razi University, Kermanshah, Iran

    Masood Aghakhani

  3. Young Researchers and Elites Club, Arak Branch, Islamic Azad University, Arak, Iran

    Amirhossein Eslampanah

  4. Sanandaj Branch, Islamic Azad University, Sanandaj, Iran

    Kianoosh Ghaderi

Authors
  1. Mohammad Reza Ghaderi
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  2. Masood Aghakhani
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  3. Amirhossein Eslampanah
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  4. Kianoosh Ghaderi
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Corresponding author

Correspondence to Mohammad Reza Ghaderi.

Additional information

Recommended by Associate Editor Young Whan Park

Mohammad Reza Ghaderi is a graduate student of the Mechanical Engineering department at the Razi University, Iran. Currently, he is working on the modeling and Simulation of welding processes by the Artificial Neural Networks (ANN), Fuzzy Logic (FL) and Adaptive Neuro-fuzzy Inference System (ANFIS). Also, the Optimization by the use of evolutionary Algorithms such as Genetic Algorithm, Imperialist Competitive Algorithm (ICA), Multi Objective Optimization and Combinatorial Optimization are other fields of his researches.

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Ghaderi, M.R., Aghakhani, M., Eslampanah, A. et al. The application of imperialist competitive algorithm for optimization of deposition rate in submerged arc welding process using TiO2 nano particle. J Mech Sci Technol 29, 357–364 (2015). https://doi.org/10.1007/s12206-014-1242-8

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  • DOI: https://doi.org/10.1007/s12206-014-1242-8

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