# A Prediction Model for Additive Manufacturing of Inconel 718 Superalloy  
[PERSON]  
1 Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA; [EMAIL_ADDRESS] (B.B.R. ); [EMAIL_ADDRESS] (B.E. ); [EMAIL_ADDRESS] (N.S.M. ); [EMAIL_ADDRESS] (A.A.)1  
[PERSON]  
2 Department of Mechanical Engineering, Girme American University, Karimi Campus, Karaoglanoglu, Kyrenia 99428, Cyprus; [EMAIL_ADDRESS]  
[PERSON]  
1 Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA; [EMAIL_ADDRESS] (B.R. ); [EMAIL_ADDRESS] (B.E. ); [EMAIL_ADDRESS] (N.S.M. ); [EMAIL_ADDRESS] (A.A.)1  
[PERSON]  
1 Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA; [EMAIL_ADDRESS] (B.R. ); [EMAIL_ADDRESS] (B.E. ); [EMAIL_ADDRESS] (N.S.M. ); [EMAIL_ADDRESS] (A.A.)1  
Amarinatanzi  
1 Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA; [EMAIL_ADDRESS] (B.R. ); [EMAIL_ADDRESS] (B.E. ); [EMAIL_ADDRESS] (N.S.M. ); [EMAIL_ADDRESS] (A.A.)1  
Amarinatanzi  
1 Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA; [EMAIL_ADDRESS] (B.R. ); [EMAIL_ADDRESS] (B.E. ); [EMAIL_ADDRESS] (N.S.M. ); [EMAIL_ADDRESS] (A.A.)1  
Amarinatanzi  
1 Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA; [EMAIL_ADDRESS] (B.R. ); [EMAIL_ADDRESS] (B.E. ); [EMAIL_ADDRESS] (N.S.M. ); [EMAIL_ADDRESS] (A.A.)1  
Amarinatanzi  
1 Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA; [EMAIL_ADDRESS] (B.R. ); [EMAIL_ADDRESS] (B.E. ); [EMAIL_ADDRESS] (B.E. ); [EMAIL_ADDRESS] (N.S.M. ); [EMAIL_ADDRESS] (A.A.)1  
Amarinatanzi  
1 Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA; [EMAIL_ADDRESS] (B.R. ); [EMAIL_ADDRESS] (B.E. That is why additive manufacturing (AM) technology has drawn the attention of manufacturers to fabricate high-demand IN718 components while the geometry requirements can be satisfied [16]. Laser powder bed fusion (LPBF) is one of the widely-used AM techniques which is capable of fabrication of highly complex geometry products with an excellent precision level [17]. There are numerous studies focused on the manufacturing of IN718 components through LPBF, as this technique provides a powerful industrial prototyping tool, cost-effective components with complicated shapes, great freedom in fabrication, high surface quality, and relatively high density values [18; 19; 20; 21; 22; 23; 24; 25]. However, it has been determined that the quality of parts is highly dependent on the process parameters employed in the LPBF process [26; 27; 28; 29; 30]. Considering the complexity of the LPBF process and numerous factors involved (including chemical and physical phenomena), performing a statistical study seemed necessary to reveal a strong correlation between process parameters and quality, and properties of the end products. Various studies have investigated the process parameters in LPBF-processed IN718 in terms of microstructure, mechanical response, and dimensional accuracy. Several studies analyzed the microstructure change of LPBF-fabricated IN718 parts as a response to the different processing parameters. [PERSON] et al. [31] studied the effect of different laser powers and scan speeds on the stability of melt pools of IN718. They found equiaxed grains at the lowest scanning speed of 600 mm/s, whereas increasing the speed to 800 mm/s revealed columnar grain structure. They also reported that at the scanning speed of 800 mm/s, reducing the hatch spacing changed the grain structure from mixed to columnar grains. In a similar study [32], it was reported that an increase in the energy density formed a microstructure with longer and more tightly bound dendrites, with fine columnar dendrites being observed due to the higher thermal gradient.