Prediction model for determining the optimum operational parameters in laser forming of fiber-reinforced composites

doi:10.1007/s40436-020-00304-3

Advances in Manufacturing ›› 2020, Vol. 8 ›› Issue (2): 242-251.doi: 10.1007/s40436-020-00304-3

Prediction model for determining the optimum operational parameters in laser forming of fiber-reinforced composites

Annamaria Gisario¹, Mehrshad Mehrpouya², Atabak Rahimzadeh¹, Andrea De Bartolomeis³, Massimiliano Barletta²

1 Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy;
2 Department of Mechanical and Industrial Engineering, The University of Roma Tre, Via Vito Volterra 62, 00146 Rome, Italy;
3 Department of Mechanical Engineering, University of Bath, Bath BA2 7AY, UK

收稿日期:2019-08-27 修回日期:2020-02-22 出版日期:2020-06-25 发布日期:2020-06-08
通讯作者: Mehrshad Mehrpouya E-mail:mehrshad.mehrpouya@uniroma3.it

Prediction model for determining the optimum operational parameters in laser forming of fiber-reinforced composites

Annamaria Gisario¹, Mehrshad Mehrpouya², Atabak Rahimzadeh¹, Andrea De Bartolomeis³, Massimiliano Barletta²

1 Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy;
2 Department of Mechanical and Industrial Engineering, The University of Roma Tre, Via Vito Volterra 62, 00146 Rome, Italy;
3 Department of Mechanical Engineering, University of Bath, Bath BA2 7AY, UK

Received:2019-08-27 Revised:2020-02-22 Online:2020-06-25 Published:2020-06-08
Contact: Mehrshad Mehrpouya E-mail:mehrshad.mehrpouya@uniroma3.it

摘要/Abstract

摘要： Composite materials are widely employed in various industries, such as aerospace, automobile, and sports equipment, owing to their lightweight and strong structure in comparison with conventional materials. Laser material processing is a rapid technique for performing the various processes on composite materials. In particular, laser forming is a flexible and reliable approach for shaping fiber-metal laminates (FMLs), which are widely used in the aerospace industry due to several advantages, such as high strength and light weight. In this study, a prediction model was developed for determining the optimal laser parameters (power and speed) when forming FML composites. Artificial neural networks (ANNs) were applied to estimate the process outputs (temperature and bending angle) as a result of the modeling process. For this purpose, several ANN models were developed using various strategies. Finally, the achieved results demonstrated the advantage of the models for predicting the optimal operational parameters.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-020-00304-3

关键词: Laser forming (LF), Fiber-reinforced composite, Fiber-metal laminates (FMLs), Glass laminate aluminum reinforced epoxy (GLARE), Artificial neural networks (ANNs)

Abstract: Composite materials are widely employed in various industries, such as aerospace, automobile, and sports equipment, owing to their lightweight and strong structure in comparison with conventional materials. Laser material processing is a rapid technique for performing the various processes on composite materials. In particular, laser forming is a flexible and reliable approach for shaping fiber-metal laminates (FMLs), which are widely used in the aerospace industry due to several advantages, such as high strength and light weight. In this study, a prediction model was developed for determining the optimal laser parameters (power and speed) when forming FML composites. Artificial neural networks (ANNs) were applied to estimate the process outputs (temperature and bending angle) as a result of the modeling process. For this purpose, several ANN models were developed using various strategies. Finally, the achieved results demonstrated the advantage of the models for predicting the optimal operational parameters.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-020-00304-3

Key words: Laser forming (LF), Fiber-reinforced composite, Fiber-metal laminates (FMLs), Glass laminate aluminum reinforced epoxy (GLARE), Artificial neural networks (ANNs)

Annamaria Gisario, Mehrshad Mehrpouya, Atabak Rahimzadeh, Andrea De Bartolomeis, Massimiliano Barletta. Prediction model for determining the optimum operational parameters in laser forming of fiber-reinforced composites[J]. Advances in Manufacturing, 2020, 8(2): 242-251.

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Prediction model for determining the optimum operational parameters in laser forming of fiber-reinforced composites

Prediction model for determining the optimum operational parameters in laser forming of fiber-reinforced composites

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