Che Zhang , Tesfaye Molla , Christian Brandl , Jarrod Watts , Rick McCully , Caixian Tang , Graham Schaffer
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引用次数: 0
Abstract
Deposition efficiency (DE) in cold spray additive manufacturing (CSAM) is a key indicator for evaluating process efficiency. Here we develop a reduced-order model to predict DE of metals during CSAM by simultaneously calculating the critical velocity and impact velocity using the gas temperature, gas pressure, and particle size as inputs. The impact velocity must exceed the critical velocity to achieve particle adhesion. Since both the critical and impact velocities vary with particle size, DE can be derived from the intersection of these curves. An equation for calculating critical velocity is proposed based on the hydrodynamic spall mechanism with the support of experimental data. The impact velocity is determined using a parametric expression that accounts for the bow shock effect. The model is first calibrated for aluminum to create process design maps. Ten validation experiments are then conducted using two different cold spray systems. The experimental DE values show close agreement with the predicted results. The model can be used to rapidly identify optimal process parameters for achieving high DE of metals, contributing to improved process efficiency and product quality during CSAM.
期刊介绍:
The aim of the Journal of Manufacturing Processes (JMP) is to exchange current and future directions of manufacturing processes research, development and implementation, and to publish archival scholarly literature with a view to advancing state-of-the-art manufacturing processes and encouraging innovation for developing new and efficient processes. The journal will also publish from other research communities for rapid communication of innovative new concepts. Special-topic issues on emerging technologies and invited papers will also be published.