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首页> 外文期刊>International Journal of Mathematical Modelling and Numerical Optimisation >Parameters optimisation of transmission laser welding of dissimilar plastics using RSM and flower pollination algorithm integrated approach
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Parameters optimisation of transmission laser welding of dissimilar plastics using RSM and flower pollination algorithm integrated approach

机译:使用RSM和花卉授粉算法综合方法优化不同塑料传输激光焊接的参数优化

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摘要

In the present research work, experimental investigation and process optimisation of transmission laser welding of dissimilar plastics are carried out using response surface methodology (RSM) and flower pollination algorithm (FPA) integrated approach. RSM is used to plan the experiments and to develop the parametric models of the process responses, namely weld strength and weld width. Flower pollination algorithm, a novel nature-inspired meta-heuristic algorithm, is applied to search for the combinations of optimal process parameters that satisfy single objective as well as multiple objectives using the developed RSM models. Parametric analyses are also done using the trend predicted by FPA. This algorithm is found to be capable of predicting accurate trends of the parametric effects. The superiority of FPA in process optimisation and prediction of parametric trends is due to the fact that FPA can locate the global optima and no parameters are held constant during the optimisation process and also during the trend prediction.
机译:在本研究工作中,使用响应面方法(RSM)和花授粉算法(FPA)综合方法进行不同塑料传动激光焊接的实验研究和过程优化。 RSM用于规划实验并开发过程响应的参数模型,即焊接强度和焊接宽度。花授粉算法是一种新颖的自然启发元启发式算法,用于搜索满足单个物镜的最佳过程参数的组合,以及使用开发的RSM模型的多个目标。参数分析也使用FPA预测的趋势进行。发现该算法能够预测参数效应的准确趋势。 FPA在过程优化和参数趋势预测中FPA的优越性是由于FPA可以在优化过程中找到全局最优,并且在趋势预测期间也没有参数保持恒定。

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