Otimização do processo de solda TIG no aço tubular AISI 304 por meio da análise de relação Grey - Taguchi

Abstract

The search for optimization of processes in production management aiming at quality is characterized by the need to identify the levels of factors that imply the right to decision making, being a basic basis for a satisfactory process. Mechanical fabrication process, more specifically a Tungsten Inert Gas (TIG) welding with automated feeding behaves in the same way. The literature offers several optimization techniques, however, some of them do not provide the levels of influence that the parameters have in the process. Against this background, this study aims to optimize the TIG welding process with the aid of the AISI304 steel welding robot with automatic wire feed through the grey- Taguchi relationship. The research is characterized as experimental, without control which and plans experiments in the cause-effect relationship. Initially, we used Experiment Planning (DOE) to increase the compliance of experiments, in sequence, the implementation of Taguchi methodology when finding a more present characteristic in the process, without following the identification of the other Gray Relational (GRA) conditions and ANOVA test confirming an influence of variables without process. In this sense, we sought to identify the best interrelationship between the variables involved in welding by the Tig process with automated feeding. The input parameters are: Welding speed (Vs), Mean current (Im), Welding frequency (Hz), and quality characteristics obtained by macrography: Cord width (w), dilution (D), penetration (P), cord height (h) and reforestation (r). The results obtained by the Gray-Taguchi method are as follows: A3- Medium Current 80 A, B1- Frequency 1Hz and C1- Welding Speed 8mm/s. The confirmation race as variables, with a variety of results, increased almost twice as much in the dimensions of the quality characteristics, evidencing a possibility of automation of the process not a manufacturing medium for such material, as well as an opening of new studies with a number of variables used as baseline conditions.