Principal component analysis for multiple quality characteristics optimization of metal inert gas welding aluminum foam plate

Shih, Jing-Shiang; Tzeng, Yiharn; Yang, Jin-Bin

doi:10.1016/j.matdes.2010.10.001

Cited by 42 publications

(17 citation statements)

References 7 publications

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“…Metodykę Taguchi zastosowano do optymalizacji spawania różnych materiałów, stali austenitycznych [16], stali węglowej AISI 1020 [17], stopów magnezu, tytanu, aluminium, [18] a także do wykonywania połączeń różnoimiennych [10].…”

Section: Utrata Jakościunclassified

“…Z tego powodu, w niektórych pracach wykorzystywane są techniki hybrydowe stanowiące kombinacje metod optymalizacyjnych tworzonych na potrzebę danego procesu [22]. W celu zbadania siły związku pomiędzy badanymi zmiennymi metoda Taguchi łączona jest często z teorią szarego systemu GRA [13,16,18,22,30,31] lub sztuczną siecią neuronową ANN [36]. Optymalizacja parametrów zazwyczaj zakończona zostaje także analizą wariancji ANOVA, która ma na celu wykazanie, które zmienne niezależne mają wpływ na poziom zmiennej zależnej.…”

Section: Podsumowanieunclassified

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Zastosowanie metody Taguchi w spawalnictwie

Ostromęcka

2017

Przegląd Spawalnictwa

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Section: Utrata Jakościunclassified

Section: Podsumowanieunclassified

Zastosowanie metody Taguchi w spawalnictwie

Ostromęcka

2017

Przegląd Spawalnictwa

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“…g, h Entropy and its PDD correlation among the principal components. Shih et al [22] used PCA coupled with Taguchi methods for multiple-quality characteristics optimization of metal inert gas (MIG) arc welding aluminum foam plates. Jäger et al [23] employed the PCA method to control welding process quality with the geometric features of melt pool.…”

Section: Principal Component Analysismentioning

confidence: 99%

Monitoring of deviation status of incident laser beam during CO2 laser welding processes for I-core sandwich construction

Cai

Yang

Sun

et al. 2014

Int J Adv Manuf Technol

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Laser-welded steel sandwich constructions have gained their popularity as typical lightweight structures, and the welding quality is a critical point for their comprehensive performance. The special welding mode for the T-joint of an I-core sandwich plate proposes challenges that the incident laser should align the web plate. A novel method of deviation detection based on the metallic vapor plume for CO 2 laser welding of I-core sandwich plates is investigated in this paper. On the basis of the plume images captured by a high-speed camera, the characteristics of instantaneous plasma plume are calculated, and their process parameters are extracted statistically in time domain and frequency field. Furthermore, principal component analysis (PCA) is employed to synthesize the information of all feature parameters, and a complex indicator was formed to evaluate the deviation status. Experimental results showed that the monitoring method based on the characteristics of vapor plume was convenient, effective and promising in production.

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“…In actual industrial production, PCA is applied to solve the multiple response parameters problem which have been achieved satisfactory results [5]. Zhang Yingdong [6] proposed an improved weighted principal component analysis(PCA) which can construct a mathematical model between the impact factor and multiple response variable.…”

Section: Introductionmentioning

confidence: 99%

Improved PCA Method Based on RBF Neural Network for Multiple Response Parameters Optimization

Pan

Hongqi

2017

MATEC Web Conf.

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Abstract. In the design of multiple response parameters optimization, weighted principal component analysis (weighted PCA) is used to build the relationship between the response variables and controllable factor model by linear regression. But in the complicated nonlinear production process, the fit of the linear regression model is not high that cannot satisfy the requirement of the parameter design model. This study proposed an improved weighted PCA based on RBF neural network prediction model. In this paper, RBF neural network was used to construct nonlinear prediction model of production process and to adjust the weighted PCA algorithm by adding the predict ability index of neural network model. In the design of multiple response parameters, this approach improve the effect of process parameters optimization. And applied this method to multiple response parameters optimization design of metallization polypropylene film capacitor thermal polymerization process, the results show that capacitance value and the loss tangent are all improved, and the effect of optimization parameters is achieve to satisfactory results.

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Principal component analysis for multiple quality characteristics optimization of metal inert gas welding aluminum foam plate

Cited by 42 publications

References 7 publications

Zastosowanie metody Taguchi w spawalnictwie

Zastosowanie metody Taguchi w spawalnictwie

Monitoring of deviation status of incident laser beam during CO2 laser welding processes for I-core sandwich construction

Improved PCA Method Based on RBF Neural Network for Multiple Response Parameters Optimization

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