The Effects of Single Cutting Tool Geometry on Surface Roughness / Rosdi Mohammad...[et al.]

This paper aims to optimize a new cutter design for turning of AISI 12L14 material with a Titanium Aluminium Nitride (TiAlN) coated tungsten carbide tools. The interaction of the tool geometry and workpiece on a performance characteristics of surface roughness has been investigated, and Taguchi Orthogonal Array (OA) L9 is selected as the technique for the optimization. In this study, results showed that altering the rake angle of -10 , 0 to +10 rake angles will give significant influence on part’s surface finishing. However, the minor cutting tool edge, Kr2 with 3o is found to be the predominant factor in influencing surface roughness, Ry. The experimental results showed the obtained surface roughness (Ry) values were low, i.e. between 6.76m to 16.18m, and within a desirable range in manufacturing requirements. The optimum turning operation was obtained at T9 test setting with Kr1: 60, Kr2: 3, rake angle: 0, and inclination angle: +3; which provided the smallest surface roughness (Ry) value of 6.76m. It is suggested that the Taguchi parameter design and Taguchi signal-to-noise (S/N ratio) used for the tool optimization is simple, systematic, reliable, and efficient tools for the optimization process in turning

Optimization of the Parameters for Surface Quality of the Open-source 3D Printing / Nor Aiman Sukindar...[et al.]

Fused deposition modeling (FDM) or three-dimensional (3D) printing are becoming ubiquitous today because it allows the fabrication of 3D products directly from computer-aided design software. The quality of 3D parts is influenced by several parameters that need to be carefully tuned to obtain a high-quality final product. The surface finish of the finished parts is one of the major factors to consider because it affects both the dimensional accuracy and the functionality of the piece. Thus, the present study focuses on improving the surface finish of parts produced by FDM by manipulating different parameters such as layer height, raster angle, extruder temperature, printing speed, and percent infill. Polylactic acid was used for this study, which is a material present in filament form, and was extruded using a newly developed 3D printer; the Taguchi’s 35 design-of-experiment method was used to design the experiment. The results indicate that raster angle, extruder temperature, and layer thickness are the most influential process parameters of the surface quality of the final product