Global Criterion Method Based on Principal Components to the Optimization of Manufacturing Processes with Multiple Responses

1044 Ogledov
958 Prenosov
Izvoz citacije: ABNT
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/sl/article/global-criterion-method-based-on-principal-components-to-the-optimization-of-manufacturing-processes-with-multiple-responses/>. Date accessed: 05 jun. 2020. 
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/sl/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/sl/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.  05 Jun. 2020
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/sl/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/sl/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/sl/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)

Avtorji

Inštitucije

  • Federal University at Itajuba, Institute of Production Engineering and Management, Brazil 1

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 58(2012)5, 345-353

https://doi.org/10.5545/sv-jme.2011.136

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.

multi-objective optimization; global criterion method; principal component analysis; free machining steel turning