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Application of soft computing techniques for modeling and analysis of MRR and taper in laser machining process as well as weld strength and weld width in laser welding process

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An Erratum to this article was published on 06 January 2015

Abstract

The present work deals with modeling and analysis of laser material processing technologies which were commonly used in the recent past. The characteristics of laser machining and laser welding have been determined using response surface method (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS). For each process, an experimental setup was designed and site-conducted using central composite design (CCD). Then their performance measures (responses) have been modeled and predicted based on RSM, ANN and ANFIS. The accuracies of developed models were compared with each other based on prediction error percent. The effects of each process’s parameters on its performance measures were analyzed based on graphs which were plotted using the most accurate model. Results indicated that for both types of laser manufacturing processes, the ANFIS method predicted more accurate results. Following ANFIS, ANN and RSM showed almost precise prediction in modeling of performance measures. Hence, the ANFIS technique can be applied for modeling of laser material processing technologies.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Faculty of Engineering, University of Tabriz, Tabriz, Iran

    Mansour Aminian

  2. Department of Mechanical Engineering, Babol University of Technology, Babol, Iran

    Reza Teimouri

Authors
  1. Mansour Aminian
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  2. Reza Teimouri
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Corresponding author

Correspondence to Reza Teimouri.

Additional information

Communicated by A. Lotfi.

Appendices

Appendix A

See Table 13.

Table 13 Splitting of experimental data sets of laser machining process in five folds for implementation of cross validation
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Appendix B

See Table 14.

Table 14 Splitting of experimental data sets of laser welding process in five folds to implement of cross validation
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Aminian, M., Teimouri, R. Application of soft computing techniques for modeling and analysis of MRR and taper in laser machining process as well as weld strength and weld width in laser welding process. Soft Comput 19, 793–810 (2015). https://doi.org/10.1007/s00500-014-1305-x

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