Optimization Of Tribo-Performance Of 3D-Printed ABS With Internal Structure Formation For Production Of Automotive Bearing

Mat Azman, Muhammad Syahrol Nizam (2020) Optimization Of Tribo-Performance Of 3D-Printed ABS With Internal Structure Formation For Production Of Automotive Bearing. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

In this paper, the objective to determine the optimized printing parameters of 3D-printed ABS for new automotive bearing formulation using the Taguchi Method. Therefore, the design of experiments was conducted for the analysis of the influence of the printing parameters such as layer height, pattern, and nozzle temperature on the coefficient of friction (COF). The results of the pin-on-disc test were used to characterize the main factors affecting COF by the Analysis of Variance (ANOVA) method Taguchi’s parametric design is the effective tool for robust design it offers a simple and systematic qualitative optimal design to a relatively low cost. However, the Design of Experiments (DOE) is the key element for achieving high quality at low cost and COF. The Taguchi method is used to find optimum process parameters in the production process of 3D-printed ABS for new automotive bearings. In the experiment, the value of the layer height is 0.1, 0.2 and 0.3 while the temperature is 225°C, 230°C and 235°C and with three different patterns which is rectilinear, concentric and hilbert was used. Experimental results show that the layer height of the printing parameters is the most significant printing parameter for COF followed by pattern and nozzle temperature in the specified test range.

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