IJLS Home • Issue Contents

Prediction of Tensile Shear Force Based on Fuzzy Logic Expert System for Laser Joined 304 Stainless Steel and Three-Dimensional (3-D) Printed Acrylonitrile Butadiene Styrene (ABS) Sheet
M.Z. Harizam, J. Shamini, Y. Farazila and Y. Nukman

Dissimilar materials laser joining techniques have gained significance attention with various applications in microelectronics, transportation, and aerospace. Herein a fuzzy logic expert system-based intelligent model for predicting tensile shear strength in laser joining between 304 stainless steel and acrylonitrile butadiene styrene (ABS) printed by fused deposition modelling (FDM) was developed. The fuzzy logic was performed using fuzzy toolbox in MATLAB software by employing Mamdani method. Three linguistic values have been assigned namely low, medium and high for laser power and joining speed. For three-dimensional (3D) printed ABS sheet raster angle, four linguistic variable value known as low, medium, high and very high have been assigned. Fifteen linguistic values have been assigned for the output parameter which is the tensile shear strength. From the fuzzy surface views, the factors that influence the tensile shear strength has been determined. Increased laser power gives higher tensile shear strength. Decreasing 3-D printed ABS sheet raster angle will give higher joint strength that leads to higher tensile shear strength. When the joining speed decreases, the tensile shear strength also increases due to higher heat input being generated and stronger weld penetration. Overall, laser power has the highest influence in determine the tensile shear strength, followed by 3-D printed ABS sheet raster angle and lastly joining speed.

Keywords: Fibre laser, 304 stainless steel, acrylonitrile butadiene styrene (ABS), laser joining, dissimilar material, fuzzy logic, fused deposition modelling (FDM)

Full Text (IP)