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Abstract(s)
Este trabalho apresenta a aplicação do método de Taguchi com o objetivo de reduzir a rugosidade média produzida pela operação de fresagem CNC do alumínio EN AW-6082, através da identificação dos parâmetros ótimos de maquinagem. É também objetivo deste trabalho, investigar o nível de vibração gerado pelo processo de maquinagem como meio de avaliação da rugosidade produzida na superfície. A partir da experiência anteriormente adquirida, foram selecionados os quatro fatores 𝑎𝑝, 𝑓𝑧 , 𝑉𝑐 e, 𝑎𝑒 definidos dois níveis para cada fator e estabelecido as interações entre fatores considerados mais relevantes. Com base nesta informação foi construída a matriz ortogonal de testes, a qual foi usada na definição dos parâmetros de maquinagem. Para cada ensaio foram realizadas três observações da rugosidade média em quatro diferentes regiões da superfície e registado o nível de vibração produzido pela operação de maquinagem. Através da análise da razão S/N e ANOVA, permitiu identificar que a velocidade de corte 𝑉𝑐 e a velocidade de avanço por dente 𝑓𝑧 correspondem aos parâmetros com maior influência na rugosidade média da superfície. A partir destas, foram identificados os parâmetros ótimos de maquinagem, o que se veio a confirmar através da realização de um nono ensaio experimental. No que se refere ao nível de vibração média RMS gerado pelos ensaios, observou-se que estes apresentam uma fraca correlação com o valor da rugosidade da superfície. No entanto, há a destacar que o valor mínimo de vibração foi obtido para o ensaio com os parâmetros ótimos de maquinagem, o qual, também corresponde, à rugosidade mínima da superfície.
This paper presents the application of the Taguchi method in order to reduce the EN AW-6082 aluminium average roughness, produced by the CNC milling operation by identifying the optimal parameters. It is also the objective of this work to investigate the vibration level generated by the machining process as a means to evaluate the surface roughness. From previous experience, we selected the four factors 𝑎𝑝, 𝑓𝑧 , 𝑉𝑐 and 𝑎𝑒 , defined two levels for each factor and established the interactions between factors that are considered most relevant. Based on this information, the orthogonal test matrix was constructed, which was used to define the machining tests. For each test three mean roughness observations were made on four different surface regions and was recorded the vibration level produced by the machining operation. Through the S/N ratio and ANOVA analysis, it was possible to identify the cutting speed 𝑉𝑐 and the feed rate per tooth 𝑓𝑧 are the most influential parameters for the average surface roughness analysis. From these, the optimal machining parameters were identified, which was confirmed by conducting a ninth experimental test. Regarding the average RMS vibration level measured in each test, it was observed that there is weak correlation with the surface roughness value. However, it should be noted that the minimum vibration value was obtained for the test with the optimal machining parameters, which also corresponds to the minimum surface roughness.
This paper presents the application of the Taguchi method in order to reduce the EN AW-6082 aluminium average roughness, produced by the CNC milling operation by identifying the optimal parameters. It is also the objective of this work to investigate the vibration level generated by the machining process as a means to evaluate the surface roughness. From previous experience, we selected the four factors 𝑎𝑝, 𝑓𝑧 , 𝑉𝑐 and 𝑎𝑒 , defined two levels for each factor and established the interactions between factors that are considered most relevant. Based on this information, the orthogonal test matrix was constructed, which was used to define the machining tests. For each test three mean roughness observations were made on four different surface regions and was recorded the vibration level produced by the machining operation. Through the S/N ratio and ANOVA analysis, it was possible to identify the cutting speed 𝑉𝑐 and the feed rate per tooth 𝑓𝑧 are the most influential parameters for the average surface roughness analysis. From these, the optimal machining parameters were identified, which was confirmed by conducting a ninth experimental test. Regarding the average RMS vibration level measured in each test, it was observed that there is weak correlation with the surface roughness value. However, it should be noted that the minimum vibration value was obtained for the test with the optimal machining parameters, which also corresponds to the minimum surface roughness.
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Keywords
Melhoria do acabamento da superfície Fresagem Método de Taguchi Matriz ortogonal Otimização de parâmetros Vibrações Improving the surface finish Milling Taguchi method Orthogonal matrix Parameters optimization Vibrations