Study of mass transport in cold wire deposition for Wire Arc Additive Manufacturing

Hejripour, Fatemeh; Valentine, Daniel T.; Aidun, D. K.

doi:10.1016/j.ijheatmasstransfer.2018.04.092

Cited by 59 publications

(21 citation statements)

References 13 publications

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“…Numerical models of additive manufacturing processes have been shown to be efficient in predicting thermal profile given all the boundary conditions. Hejripour et al [33] developed a fluid flow and heat transfer model for WAAM process. The author predicted the shape of deposited material for single layer using an arbitrary Lagrangian-Eulerian method.…”

Section: B Melt Pool Temperature Modellingmentioning

confidence: 99%

A Hybrid Deep Learning Model for Layer-Wise Melt Pool Temperature Forecasting in Wire-Arc Additive Manufacturing Process

Nalajam

Ramesh

2021

IEEE Access

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Melt pool temperature contains abundant information on metallurgical and mechanical aspects of products produced by additive manufacturing. Forecasting melt pool temperature profile during a process can help in reducing microstructural porosity and residual stresses. Although analytical and numerical models were reported, the performance of these are questionable when applied in real-time. Hence, we developed data-driven models to address this challenge, for continuous forecasting layer-wise melt pool temperature using a hybrid deep learning technique. The melt pool temperature forecasting by the proposed CNN-LSTM model is found to be better than other benchmark models in terms of accuracy and efficiency. The model results have shown that combining CNN and LSTM networks can extract the spatial and temporal information from the melt pool temperature data. Further, the proposed model results are compared with existing statistical and machine learning models. The performance measures of the proposed CNN-LSTM model indicate a greater potential for in-situ monitoring of additive manufacturing process.

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Section: B Melt Pool Temperature Modellingmentioning

confidence: 99%

A Hybrid Deep Learning Model for Layer-Wise Melt Pool Temperature Forecasting in Wire-Arc Additive Manufacturing Process

Nalajam

Ramesh

2021

IEEE Access

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“…This process is a wire-based DED technique that uses an arc-based energy source, which melts the substrate, while wire is used as feedstock material [62]. The components manufactured by this technique are built layer by layer, thus being the deposition procedure similar to that of LMD [63]. Nevertheless, WAAM presents some advantages, such as high deposition rates (up to 10 kg·h −1 ), low equipment cost, and high material utilization.…”

Section: Basis Of the Metal Additive Processesmentioning

confidence: 99%

Latest Developments in Industrial Hybrid Machine Tools that Combine Additive and Subtractive Operations

et al. 2018

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Hybrid machine tools combining additive and subtractive processes have arisen as a solution to increasing manufacture requirements, boosting the potentials of both technologies, while compensating and minimizing their limitations. Nevertheless, the idea of hybrid machines is relatively new and there is a notable lack of knowledge about the implications arisen from their in-practice use. Therefore, the main goal of the present paper is to fill the existing gap, giving an insight into the current advancements and pending tasks of hybrid machines both from an academic and industrial perspective. To that end, the technical-economical potentials and challenges emerging from their use are identified and critically discussed. In addition, the current situation and future perspectives of hybrid machines from the point of view of process planning, monitoring, and inspection are analyzed. On the one hand, it is found that hybrid machines enable a more efficient use of the resources available, as well as the production of previously unattainable complex parts. On the other hand, it is concluded that there are still some technological challenges derived from the interaction of additive and subtractive processes to be overcome (e.g., process planning, decision planning, use of cutting fluids, and need for a post-processing) before a full implantation of hybrid machines is fulfilled.

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“…This process is a wire-based DED technique that uses an arc-based energy source, which melts the substrate, while wire is used as feedstock material [43]. The components manufactured by this technique are built layer by layer, thus being the deposition procedure similar to that of LMD [44]. Nevertheless, WAAM…”

Section: Fundamentals Of the Ded Processmentioning

confidence: 99%

Latest Developments in Industrial Hybrid Machine Tools That Combine Additive and Subtractive Operations

Cortina¹,

Arrizubieta²,

Ruiz³

et al. 2018

Preprint

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Hybrid machine tools combining additive and subtractive processes have arisen as a solution to the increasing manufacture requirements, boosting the potentials of both technologies, while compensating and minimizing their limitations. Nevertheless, the idea of hybrid machines is relatively new and there is a notable lack of knowledge in the field. Therefore, in the present paper, an insight into the advancements of hybrid machines is given, identifying their real capabilities, together with the latest developments from an industrial context. In addition, the current situation and future perspectives of hybrid machines from the point of view of process planning, monitoring and inspection are discussed. Finally, the challenges that must be overcome and the opportunities that the hybrid machines will provide in the forthcoming years are presented.

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Study of mass transport in cold wire deposition for Wire Arc Additive Manufacturing

Cited by 59 publications

References 13 publications

A Hybrid Deep Learning Model for Layer-Wise Melt Pool Temperature Forecasting in Wire-Arc Additive Manufacturing Process

A Hybrid Deep Learning Model for Layer-Wise Melt Pool Temperature Forecasting in Wire-Arc Additive Manufacturing Process

Latest Developments in Industrial Hybrid Machine Tools that Combine Additive and Subtractive Operations

Latest Developments in Industrial Hybrid Machine Tools That Combine Additive and Subtractive Operations

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