Abstract
Inconel 718 is a nickel-based superalloy and an excellent candidate for the aerospace, oil, and gas industries due to its high strength and corrosion resistance properties. The machining of IN718 is very challenging; therefore, the application of additive manufacturing (AM) technology is an effective approach to overcoming these difficulties and for the fabrication of complex geometries that cannot be manufactured by the traditional techniques. Selective laser melting (SLM), which is a laser powder bed fusion method, can be applied for the fabrication of IN718 samples with high accuracy. However, the process parameters have a high impact on the properties of the manufactured samples. In this study, a prediction model is developed for obtaining the optimal process parameters, including laser power, hatch spacing, and scanning speed, in the SLM process of the IN718 alloy. For this purpose, artificial neural network (ANN) modeling with various algorithms is employed to estimate the process outputs, namely, sample height and surface hardness. The modeling results fit perfectly with the experimental output, and this consequently proves the benefit of ANN modeling for predicting the optimal process parameters.
Highlights
Inconel 718 (IN718) is one of the age-hardenable superalloys which is well-known for its outstanding chemical and mechanical properties at elevated temperatures [1,2,3]
The samples were fabricated by different process pa‐ rameters, designed based on the DOE approach
Analysis of the sample height and surface hardness of the printed IN718 samples led to the following observations:
Summary
Inconel 718 (IN718) is one of the age-hardenable superalloys which is well-known for its outstanding chemical and mechanical properties at elevated temperatures [1,2,3]. Insensitivity to strain-age cracking and good weldability behavior are the other desirable features of IN718 [7] This superalloy is formed of several elements, such as chromium, niobium, aluminum, and titanium, but nickel is the main contributor with a range of 50–55 weight percentage [4,8,9]. These elements are designed to form different phases that can be adjusted to bring about desired properties based on the application requirements Because of all these features, IN718 has been employed in various industries, such as gas turbines, aircraft engines, power plants, and combustion chambers components [10,11,12,13,14]. This limitation has led to the inability of traditional manufacturing techniques in the fabrication of IN718 parts with complicated geometries
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