GOMES, José Henrique de Freitas;SALGADO JÚNIOR, Aluizio Ramos ;DE PAIVA, Anderson Paulo ;FERREIRA, João Roberto ;DA COSTA, Sebastião Carlos ;BALESTRASSI, Pedro Paulo . Global Criterion Method Based on Principal Components to the Optimization of Manufacturing Processes with Multiple Responses. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 58, n.5, p. 345-353, june 2018. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/article/global-criterion-method-based-on-principal-components-to-the-optimization-of-manufacturing-processes-with-multiple-responses/>. Date accessed: 19 dec. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2011.136.
Gomes, J., Salgado Júnior, A., de Paiva, A., Ferreira, J., da Costa, S., & Balestrassi, P. (2012). Global Criterion Method Based on Principal Components to the Optimization of Manufacturing Processes with Multiple Responses. Strojniški vestnik - Journal of Mechanical Engineering, 58(5), 345-353. doi:http://dx.doi.org/10.5545/sv-jme.2011.136
@article{sv-jmesv-jme.2011.136,
author = {José Henrique de Freitas Gomes and Aluizio Ramos Salgado Júnior and Anderson Paulo de Paiva and João Roberto Ferreira and Sebastião Carlos da Costa and Pedro Paulo Balestrassi},
title = {Global Criterion Method Based on Principal Components to the Optimization of Manufacturing Processes with Multiple Responses},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {58},
number = {5},
year = {2012},
keywords = {multi-objective optimization; global criterion method; principal component analysis; free machining steel turning},
abstract = {The necessity of efficient and controlled processes has increased the demand by employing optimization methods to the most diverse industrial processes. For these cases, the Global Criterion Method is described in literature as a technique indicated for multi-objective optimizations. However, if the problem presents correlations between the responses, this technique does not consider such information. In this context, the Principal Component Analysis is a multivariate tool that can be used to represent correlated responses by uncorrelated components. Given that to negligence the correlation structure between the responses increases the likelihood of the optimization method in finding an inappropriate optimum point, the objective of this work is to combine the GCM and PCA in a strategy able to deal with problems having multiple correlated responses. For this reason, such strategy was used to optimize the 12L14 free machining steel turning process, characterized as an important machining operation. The optimized responses included the mean roughness, total roughness, cutting time and material removal rate. As input parameters, the cutting speed, feed rate and depth of cut were considered. Response Surface Methodology was employed to build the objective functions. The GCM based on principal components was successfully applied, presenting better practical results and a more appropriate location of the optimal point in comparison to the conventional GCM.},
issn = {0039-2480}, pages = {345-353}, doi = {10.5545/sv-jme.2011.136},
url = {https://www.sv-jme.eu/article/global-criterion-method-based-on-principal-components-to-the-optimization-of-manufacturing-processes-with-multiple-responses/}
}
Gomes, J.,Salgado Júnior, A.,de Paiva, A.,Ferreira, J.,da Costa, S.,Balestrassi, P. 2012 June 58. Global Criterion Method Based on Principal Components to the Optimization of Manufacturing Processes with Multiple Responses. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 58:5
%A Gomes, José Henrique de Freitas %A Salgado Júnior, Aluizio Ramos %A de Paiva, Anderson Paulo %A Ferreira, João Roberto %A da Costa, Sebastião Carlos %A Balestrassi, Pedro Paulo %D 2012 %T Global Criterion Method Based on Principal Components to the Optimization of Manufacturing Processes with Multiple Responses %B 2012 %9 multi-objective optimization; global criterion method; principal component analysis; free machining steel turning %! Global Criterion Method Based on Principal Components to the Optimization of Manufacturing Processes with Multiple Responses %K multi-objective optimization; global criterion method; principal component analysis; free machining steel turning %X The necessity of efficient and controlled processes has increased the demand by employing optimization methods to the most diverse industrial processes. For these cases, the Global Criterion Method is described in literature as a technique indicated for multi-objective optimizations. However, if the problem presents correlations between the responses, this technique does not consider such information. In this context, the Principal Component Analysis is a multivariate tool that can be used to represent correlated responses by uncorrelated components. Given that to negligence the correlation structure between the responses increases the likelihood of the optimization method in finding an inappropriate optimum point, the objective of this work is to combine the GCM and PCA in a strategy able to deal with problems having multiple correlated responses. For this reason, such strategy was used to optimize the 12L14 free machining steel turning process, characterized as an important machining operation. The optimized responses included the mean roughness, total roughness, cutting time and material removal rate. As input parameters, the cutting speed, feed rate and depth of cut were considered. Response Surface Methodology was employed to build the objective functions. The GCM based on principal components was successfully applied, presenting better practical results and a more appropriate location of the optimal point in comparison to the conventional GCM. %U https://www.sv-jme.eu/article/global-criterion-method-based-on-principal-components-to-the-optimization-of-manufacturing-processes-with-multiple-responses/ %0 Journal Article %R 10.5545/sv-jme.2011.136 %& 345 %P 9 %J Strojniški vestnik - Journal of Mechanical Engineering %V 58 %N 5 %@ 0039-2480 %8 2018-06-28 %7 2018-06-28
Gomes, José Henrique, Aluizio Ramos Salgado Júnior, Anderson Paulo de Paiva, João Roberto Ferreira, Sebastião Carlos da Costa, & Pedro Paulo Balestrassi. "Global Criterion Method Based on Principal Components to the Optimization of Manufacturing Processes with Multiple Responses." Strojniški vestnik - Journal of Mechanical Engineering [Online], 58.5 (2012): 345-353. Web. 19 Dec. 2024
TY - JOUR AU - Gomes, José Henrique de Freitas AU - Salgado Júnior, Aluizio Ramos AU - de Paiva, Anderson Paulo AU - Ferreira, João Roberto AU - da Costa, Sebastião Carlos AU - Balestrassi, Pedro Paulo PY - 2012 TI - Global Criterion Method Based on Principal Components to the Optimization of Manufacturing Processes with Multiple Responses JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2011.136 KW - multi-objective optimization; global criterion method; principal component analysis; free machining steel turning N2 - The necessity of efficient and controlled processes has increased the demand by employing optimization methods to the most diverse industrial processes. For these cases, the Global Criterion Method is described in literature as a technique indicated for multi-objective optimizations. However, if the problem presents correlations between the responses, this technique does not consider such information. In this context, the Principal Component Analysis is a multivariate tool that can be used to represent correlated responses by uncorrelated components. Given that to negligence the correlation structure between the responses increases the likelihood of the optimization method in finding an inappropriate optimum point, the objective of this work is to combine the GCM and PCA in a strategy able to deal with problems having multiple correlated responses. For this reason, such strategy was used to optimize the 12L14 free machining steel turning process, characterized as an important machining operation. The optimized responses included the mean roughness, total roughness, cutting time and material removal rate. As input parameters, the cutting speed, feed rate and depth of cut were considered. Response Surface Methodology was employed to build the objective functions. The GCM based on principal components was successfully applied, presenting better practical results and a more appropriate location of the optimal point in comparison to the conventional GCM. UR - https://www.sv-jme.eu/article/global-criterion-method-based-on-principal-components-to-the-optimization-of-manufacturing-processes-with-multiple-responses/
@article{{sv-jme}{sv-jme.2011.136},
author = {Gomes, J., Salgado Júnior, A., de Paiva, A., Ferreira, J., da Costa, S., Balestrassi, P.},
title = {Global Criterion Method Based on Principal Components to the Optimization of Manufacturing Processes with Multiple Responses},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {58},
number = {5},
year = {2012},
doi = {10.5545/sv-jme.2011.136},
url = {https://www.sv-jme.eu/article/global-criterion-method-based-on-principal-components-to-the-optimization-of-manufacturing-processes-with-multiple-responses/}
}
TY - JOUR AU - Gomes, José Henrique de Freitas AU - Salgado Júnior, Aluizio Ramos AU - de Paiva, Anderson Paulo AU - Ferreira, João Roberto AU - da Costa, Sebastião Carlos AU - Balestrassi, Pedro Paulo PY - 2018/06/28 TI - Global Criterion Method Based on Principal Components to the Optimization of Manufacturing Processes with Multiple Responses JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 58, No 5 (2012): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2011.136 KW - multi-objective optimization, global criterion method, principal component analysis, free machining steel turning N2 - The necessity of efficient and controlled processes has increased the demand by employing optimization methods to the most diverse industrial processes. For these cases, the Global Criterion Method is described in literature as a technique indicated for multi-objective optimizations. However, if the problem presents correlations between the responses, this technique does not consider such information. In this context, the Principal Component Analysis is a multivariate tool that can be used to represent correlated responses by uncorrelated components. Given that to negligence the correlation structure between the responses increases the likelihood of the optimization method in finding an inappropriate optimum point, the objective of this work is to combine the GCM and PCA in a strategy able to deal with problems having multiple correlated responses. For this reason, such strategy was used to optimize the 12L14 free machining steel turning process, characterized as an important machining operation. The optimized responses included the mean roughness, total roughness, cutting time and material removal rate. As input parameters, the cutting speed, feed rate and depth of cut were considered. Response Surface Methodology was employed to build the objective functions. The GCM based on principal components was successfully applied, presenting better practical results and a more appropriate location of the optimal point in comparison to the conventional GCM. UR - https://www.sv-jme.eu/article/global-criterion-method-based-on-principal-components-to-the-optimization-of-manufacturing-processes-with-multiple-responses/
Gomes, José Henrique, Salgado Júnior, Aluizio Ramos, de Paiva, Anderson Paulo, Ferreira, João Roberto, da Costa, Sebastião Carlos, AND Balestrassi, Pedro Paulo. "Global Criterion Method Based on Principal Components to the Optimization of Manufacturing Processes with Multiple Responses" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 58 Number 5 (28 June 2018)
Strojniški vestnik - Journal of Mechanical Engineering 58(2012)5, 345-353
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
The necessity of efficient and controlled processes has increased the demand by employing optimization methods to the most diverse industrial processes. For these cases, the Global Criterion Method is described in literature as a technique indicated for multi-objective optimizations. However, if the problem presents correlations between the responses, this technique does not consider such information. In this context, the Principal Component Analysis is a multivariate tool that can be used to represent correlated responses by uncorrelated components. Given that to negligence the correlation structure between the responses increases the likelihood of the optimization method in finding an inappropriate optimum point, the objective of this work is to combine the GCM and PCA in a strategy able to deal with problems having multiple correlated responses. For this reason, such strategy was used to optimize the 12L14 free machining steel turning process, characterized as an important machining operation. The optimized responses included the mean roughness, total roughness, cutting time and material removal rate. As input parameters, the cutting speed, feed rate and depth of cut were considered. Response Surface Methodology was employed to build the objective functions. The GCM based on principal components was successfully applied, presenting better practical results and a more appropriate location of the optimal point in comparison to the conventional GCM.