Optimization of CNC Turning Parameters for cutting Al6061 to Achieve Good Surface Roughness Based on Taguchi Method

2022-12-20T14:40:40+07:00

In the machining process of manufacturing sector, surface quality is critical factor in evaluating output of product. One of the machining processes is by CNC turning. The excellent surface finish ensures that the product is in the high quality. The industries are in the requirement of producing more parts with acceptable quality with the shortest period and the least resources. Some materials used for manufacturing parts have various kinds. This study applied Al6061 as workpiece and used Taguchi method to optimize the CNC turning parameter for cutting it. The Taguchi L9 orthogonal array experimental design was used in this research. In the CNC turning process, spindle speed, feed rate, and depth of cut were chosen as controllable process parameters, and surface roughness was utilized to assess performance as a response. The result will be analyzed by main effect plot, ANOVA, and the residual normal probability plot. In this research, 1000 rpm as a spindle speed, 0.08 mm/min as a feed rate, and 0.25 mm as a depth of cut were found to be the optimal parameters for achieving lower. The primary effect plot provides considerable data to support the experiment's principal goal. Furthermore, according to the ANOVA table, feed rate was the cutting parameter with the largest percent contribution to achieve better surface roughness, and the residual normal probability plot revealed that the coefficient model was significant.

Fatigue Crack Growth Prediction on Su-30MKM Horizontal Stabilizer Lug Using Static Analysis

2022-12-21T14:22:39+07:00

The critical aircraft structure is the load-bearing members are a vital component for any aircraft. The effect of fatigue loading, operating conditions, and environmental degradation has caused the structural integrity of the airframe to be assessed for its airworthiness requirement. Using the fatigue design concept of Safe Life, the RMAF adopts the fatigue life assessment and crack growth prediction to monitoring its critical components' structural integrity. Various methods were used, and for this analysis, the Crack Growth Prediction method was used to determine the crack growth behavior and its ultimate failure point in case of any crack occurrences. The horizontal stabilizer lug was chosen since it has the highest possibility of fatigue failure. The analytical methods discussed are Crack Growth Analysis and Low Cycle Fatigue. For the numerical method, Nastran was used to simulate crack growth. The result from the crack growth analysis was validated with the numerical result. The conclusion is that, based on the fatigue life cycle, the structure condition is not affected by severe damage, and its failure is approximately around 1 million cycles, and the crack growth location on the bottom of the lug is the critical location. The research outcome will be on the extension of the structure life of the lug.

Journal of Advanced Research in Applied Mechanics

Optimization of CNC Turning Parameters for cutting Al6061 to Achieve Good Surface Roughness Based on Taguchi Method

Fatigue Crack Growth Prediction on Su-30MKM Horizontal Stabilizer Lug Using Static Analysis