Mathilde Zani, Enrico Panettieri, Marco Montemurro
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Then, a NURBS-based metamodel is generated to approximate the (unknown) transfer function between input variables and output responses of the problem at hand. One of the advantages of this metamodeling strategy is the possibility of obtaining the gradient of the output responses without the requirement of further computational resources, as the resulting metamodel is available in analytical form with the requisite continuity and differentiability. The NURBS-based metamodel is generated as a solution of a three-step optimisation strategy aiming at determining all the parameters defining the shape of the NURBS entity. Finally, the NURBS-based metamodel is included in the optimisation process related to the considered application. The optimisation problem is defined as a weighted sum of different criteria, i.e., total printing time and the average interlayer temperature difference for each layer. 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引用次数: 0
摘要
对于线弧增材制造(WAAM)工艺,层间温度对制造零件的质量影响很大。本文针对铝合金薄壁零件,采用有限元(FE)模型和基于非均匀有理基样条(NURBS)实体的元模型,提出了优化沉积参数的方法,以更好地控制层间温度,同时缩短打印时间。首先,创建热 FE 模型,以提取层间温度,作为不同沉积参数的函数,并进行优化。这些参数包括送丝速度和连续两层沉积之间的冷却时间。然后,生成一个基于 NURBS 的元模型,以近似处理问题的输入变量和输出响应之间的(未知)传递函数。这种元模型策略的优点之一是可以获得输出响应的梯度,而不需要更多的计算资源,因为生成的元模型是分析形式的,具有必要的连续性和可微分性。基于 NURBS 的元模型是作为三步优化策略的解决方案生成的,旨在确定定义 NURBS 实体形状的所有参数。最后,基于 NURBS 的元模型被纳入与所考虑的应用相关的优化过程中。优化问题被定义为不同标准的加权和,即总印刷时间和每层的平均层间温差。随后使用高保真 FE 模型对获得的解决方案进行后验,结果表明基于 NURBS 的元模型与 FE 模型的预测结果非常吻合。
Optimisation of interlayer temperature in wire-arc additive manufacturing process using NURBS-based metamodel
For wire arc additive manufacturing (WAAM) process the interlayer temperature highly influences the quality of manufactured parts. This paper proposes an optimisation of deposition parameters for a better control of interlayer temperature while reducing the printing time employing a Finite Element (FE) model and a metamodel based on Non Uniform Rational Basis Splines (NURBS) entities for a thin-walled part in aluminium alloy. Firstly, the thermal FE model is created to extract the interlayer temperature as a function of different deposition parameters that will be optimised. These parameters are the wire feed speed and the cooling time between deposition of two consecutive layers. Then, a NURBS-based metamodel is generated to approximate the (unknown) transfer function between input variables and output responses of the problem at hand. One of the advantages of this metamodeling strategy is the possibility of obtaining the gradient of the output responses without the requirement of further computational resources, as the resulting metamodel is available in analytical form with the requisite continuity and differentiability. The NURBS-based metamodel is generated as a solution of a three-step optimisation strategy aiming at determining all the parameters defining the shape of the NURBS entity. Finally, the NURBS-based metamodel is included in the optimisation process related to the considered application. The optimisation problem is defined as a weighted sum of different criteria, i.e., total printing time and the average interlayer temperature difference for each layer. The solution obtained is subsequently validated a posteriori using the high-fidelity FE model, demonstrating an excellent agreement between the prediction of the NURBS-based metamodel and those of the FE model.
期刊介绍:
The Journal publishes and disseminates original research in the field of material forming. The research should constitute major achievements in the understanding, modeling or simulation of material forming processes. In this respect ‘forming’ implies a deliberate deformation of material.
The journal establishes a platform of communication between engineers and scientists, covering all forming processes, including sheet forming, bulk forming, powder forming, forming in near-melt conditions (injection moulding, thixoforming, film blowing etc.), micro-forming, hydro-forming, thermo-forming, incremental forming etc. Other manufacturing technologies like machining and cutting can be included if the focus of the work is on plastic deformations.
All materials (metals, ceramics, polymers, composites, glass, wood, fibre reinforced materials, materials in food processing, biomaterials, nano-materials, shape memory alloys etc.) and approaches (micro-macro modelling, thermo-mechanical modelling, numerical simulation including new and advanced numerical strategies, experimental analysis, inverse analysis, model identification, optimization, design and control of forming tools and machines, wear and friction, mechanical behavior and formability of materials etc.) are concerned.