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首页> 外文会议>International Conference on Recent Advances in Materials and Manufacturing Technologies >Prediction and Optimization of Deformations in Coupling Mechanism Based Laser Forming of Sheet Metals
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Prediction and Optimization of Deformations in Coupling Mechanism Based Laser Forming of Sheet Metals

机译：基于耦合机构的激光形成的变形预测与优化

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Fabricating three dimensional shaped surfaces from flat sheet metals by laser forming, both out-of-plane and in-plane deformations are required. This article presents the modeling of coupling mechanism activated laser forming of sheet metals based on experimental data for prediction and optimization of bending and thickening deformations. Experiments were performed based on a central composite design of experiments on coupling mechanism based laser metal forming process considering the input process parameters like laser power, scan speed and spot diameter, bending and thickening were taken as the outputs. Neural network and neuro-fuzzy system-based models were developed to carry out both forward and inverse modeling of the laser metal forming process under the coupling mechanism. Multi-objective optimization based on the non-dominated sorting genetic algorithm was used to obtain multiple optimal solutions to achieve different amounts of out-of-plane and in-plane deformations. The proposed method could guide for a suitable selection of the process parameters to produce three-dimensional shapes utilizing coupling mechanism-based laser forming using multiple laser line heating.
机译：通过激光形成从平板金属制造三维形状表面，需要外平面和面内变形。本文介绍了基于实验数据的耦合机构激活激光形成的耦合机构的建模，用于预测和优化弯曲和增厚变形。基于基于基于耦合机理的实验的中央复合材料设计进行了实验，考虑到激光功率，扫描速度和光斑直径，弯曲和增厚作为输出。开发了神经网络和基于神经模糊的系统的模型，用于在耦合机构下执行激光金属成形过程的前向和反向建模。基于非主导分选遗传算法的多目标优化用于获得多种最佳解决方案，以实现不同量的平面外和面内变形。 The proposed method could guide for a suitable selection of the process parameters to produce three-dimensional shapes utilizing coupling mechanism-based laser forming using multiple laser line heating.

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