TY - JFULL AU - Yusuf S. Dambatta and Ahmed A. D. Sarhan PY - 2016/9/ TI - Surface Roughness Analysis, Modelling and Prediction in Fused Deposition Modelling Additive Manufacturing Technology T2 - International Journal of Industrial and Manufacturing Engineering SP - 1581 EP - 1589 VL - 10 SN - 1307-6892 UR - https://publications.waset.org/pdf/10005342 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 116, 2016 N2 - Fused deposition modelling (FDM) is one of the most prominent rapid prototyping (RP) technologies which is being used to efficiently fabricate CAD 3D geometric models. However, the process is coupled with many drawbacks, of which the surface quality of the manufactured RP parts is among. Hence, studies relating to improving the surface roughness have been a key issue in the field of RP research. In this work, a technique of modelling the surface roughness in FDM is presented. Using experimentally measured surface roughness response of the FDM parts, an ANFIS prediction model was developed to obtain the surface roughness in the FDM parts using the main critical process parameters that affects the surface quality. The ANFIS model was validated and compared with experimental test results. ER -