FCAW process optimization using the multivariate mean square error

Autor:	Emerson José de Paiva, Anderson Paulo de Paiva, Pedro Paulo Balestrassi, Sebastião Carlos da Costa, Lucilene de Oliveira Rodrigues
Rok vydání:	2012
Předmět:	Multivariate statistics Engineering drawing Materials science Mean squared error Mechanical Engineering Design of experiments Metals and Alloys Welding law.invention Mechanics of Materials law Control theory Principal component analysis Process optimization Response surface methodology Arc welding
Zdroj:	Welding International. 26:79-86
ISSN:	1754-2138 0950-7116
DOI:	10.1080/09507116.2010.527485
Popis:	Optimization of welding processes is not a trivial task, mainly due to the great number of required and desirable characteristics that must be analysed. Moreover, the optimization of a welding process with multiple characteristics without considering the variance–covariance structure may lead to inadequate optimum. To help with this task, a method of multi-objective optimization based on the multivariate mean square error applied in the study of multiple correlated characteristics of a flux-cored arc welding process is presented. This method characterized by a combined approach based on the response surface methodology, design of experiments, and principal components analysis consisted of an attempt to achieve the nearest values to specific targets, for each characteristic (penetration, deposition rate, deposition efficiency, convexity index of the weld bead, and dilution), considering the welding variables expressed as a result of welding voltage (V), wire feed speed (Va), and contact tip to workpiece di...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5e857ce65fab7e56a966299718d3ee74 https://doi.org/10.1080/09507116.2010.527485 Zobrazit plný text záznamu