Multi-objective optimization of pulsed gas metal arc welding process based on weighted principal component scores

Paiva, Anderson Paulo de; Costa, Sebastião Carlos da; Paiva, Emerson José de; Balestrassi, Pedro Paulo; Ferreira, João Roberto

doi:10.1007/s00170-009-2504-y

Cited by 22 publications

(5 citation statements)

References 31 publications

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“…Some factors that possibly have great influence on the welding process were stated in Table 3 after some research in the literature [5,8,46,47]. Their levels were also established not only according to the values found in literature, but mainly according to some experiments performed by the authors.…”

Section: Methodsmentioning

confidence: 98%

A multiobjective optimization of the welding process in aluminum alloy (AA) 6063 T4 tubes used in corona rings through normal boundary intersection and multivariate techniques

Luz

Romão

Streitenberger

et al. 2021

Int J Adv Manuf Technol

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Section: Methodsmentioning

confidence: 98%

A multiobjective optimization of the welding process in aluminum alloy (AA) 6063 T4 tubes used in corona rings through normal boundary intersection and multivariate techniques

Luz

Romão

Streitenberger

et al. 2021

Int J Adv Manuf Technol

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“…Anderson P. Paiva et al [18] developed a multi objective optimization technique based on Principal Component Analysis (PCA) and RSM for gas metal arc welding process. The experiments were conducted based on four-factor, five-level CCD.…”

Section: Gas Metal Arc Welding (Gmaw)mentioning

confidence: 99%

Review on Application of Response Surface Method based Design of Experiments to Welding Processes

Prasad

Rao

2012

Journal for Manufacturing Science and Production

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Design of Experiment is one of the extensively used method for experimental study of many manufacturing processes in engineering. In welding, Design of Experiments are widely used to develop a mathematical relationship between the welding input parameters and the output variables of the weld joint in order to determine the welding input parameters that lead to the desired weld quality. In the present study, a review is made on Response Surface Method based Design of Experiments that have been employed for various welding processes by other researchers. This study predominantly focuses on the usage of Response Surface Method in Welding.

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“…Baseado no Erro Quadrático Médio (EQM) empregado por Köksoy e Yalcinoz [5] e Lin e Tu [6], Paiva [7] e Paiva et al [18,19] propuseram uma adaptação capaz de considerar adequadamente a estrutura de correlação existente entre as respostas de interesse, a partir de combinações da Metodologia de Superfície de Resposta (MSR) e a Análise de Componentes Principais (ACP). Através desta combinação, gera-se uma superfície de resposta ajustada para os escores dos componentes principais, com a qual se compõe, então, o Erro Quadrático Médio Multivariado (EQMM).…”

Section: Erro Quadrático Médio Multivariado (Eqmm)unclassified

Otimização do processo de soldagem FCAW usando o erro quadrático médio multivariado

et al. 2010

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ResumoEncontrar um conjunto ótimo de parâmetros para um processo de soldagem é uma tarefa pouco trivial, face às múltiplas características exigíveis ou desejáveis que devem ser analisadas. Além disso, a negligência da estrutura de variância-covariância Palavras-chave: Erro Quadrático Médio Multivariado (EQMM). FCAW. Projeto e Análise de Experimentos. Metodologia de Superfície de Respostas. Abstract: The optimization of welding processes is not a trivial task, mainly due to the great number of exigible and desirable characteristics that must be analyzed. Moreover, the optimization of a welding process with multiple characteristics without to consider the variance-covariance structure, may lead to inadequate optimum. To help in this task, a method of multiobjective optimization based in the Multivariate Mean Square Error applied in the study of multiple correlated characteristics of a FCAW (Flux Cored Arc Welding) welding process will be presented. This method characterized by a combined approach based in the Response Surface Methodology, Design of Experiments and Principal Components Analysis consisted in an attempt to achieve the nearest values to specific targets, for each studied characteristic (penetration, deposition rate, deposition efficiency, convexity index of the weld bead and dilution) considering the welding variables expressed in function of welding voltage (V), wire feed speed (Va) and the contact tip to workpiece distance (d). The results point out a good adequacy of the proposed method. Key-words: Multivariate Mean Square Error (MMSE); FCAW; Design of Experiments; Response Surface Methodology (RSM). IntroduçãoNum processo de soldagem é desejável que se determinem parâmetros adequados para sua realização, com a máxima acurácia possível. A busca por esses parâmetros, entretanto, passa por um processo de otimização de múltiplas variáveis, representando múltiplas características de qualidade, exigíveis ou desejáveis, para um determinado processo ou produto, constituindo-se em uma tarefa de difícil execução e de eficácia improvável.

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Multi-objective optimization of pulsed gas metal arc welding process based on weighted principal component scores

Cited by 22 publications

References 31 publications

A multiobjective optimization of the welding process in aluminum alloy (AA) 6063 T4 tubes used in corona rings through normal boundary intersection and multivariate techniques

A multiobjective optimization of the welding process in aluminum alloy (AA) 6063 T4 tubes used in corona rings through normal boundary intersection and multivariate techniques

Review on Application of Response Surface Method based Design of Experiments to Welding Processes

Otimização do processo de soldagem FCAW usando o erro quadrático médio multivariado

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