Through additive manufacturing is possible to obtain products with few material waste, low production time and great flexibility in geometry. In recent years, the application of arc welding processes has been studied as additive manufacturing techniques for metals. When compared to laser welding processes, they have low equipment cost, high deposition rate, however a low surface quality. This work proposes to study the machinability of additive manufacturing parts using automated GMAW. The deposition was carried out using a robotic arm, using ER70S-6' wire with a substrate of nodular cast iron. Two deposition strategies were carried out, one alternating the passes directions and the other one depositing in the same direction. The machining process used was milling in a three axis machining center. The deposition strategy had an influence on the parts surface finish after machining, as well as on the tool life.
Cutting fluid application is a vital technique to achieve the expected result in most machining processes. However, besides having a high cost, the cutting fluid application also represents a risk to the environment due the oil chemical characteristics. The Minimum Quantity Lubrication (MQL) is an alternative when looking for reduction of oil consumption and a more environmentally friendly process. A literature review has shown that many predictive models of machine tool power consumption do not consider the consumption of the required air compressor in MQL. This paper’s motivation was testing these models to predict the energy consumption. It was observed that the amount of consumed energy in the cutting is lower when compared to the consumption of basic components of the machining center in both cases. Using the MQL, the tool life showed a decrease. However, it allows the feed to increase and reduces the energy consumption.
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