SUMMARY
Ra, Rq, and Rz are commonly used surface roughness parameters in additive manufacturing (AM) because they provide valuable insights into the quality and characteristics of the printed surfaces. By quantifying the surface roughness using these parameters, designers and engineers can assess how the printed part`s surface quality will affect its functionality and performance in specific applications. The study found that increasing infill density reduces surface roughness, while increasing layer thickness, printing speed, and extrusion temperature causes an increase in surface roughness. Adjusted R2 (%) Predicted R2 (%) Lack of Fit Based on p-Value Ra_Walls Rz_Walls Rq_Walls Ra_Top . . .
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