The gas metal arc welding process is studied because of its high productivity and low cost. One of the drawbacks of this process is achieving repeatability of the welding seams. This article shows the design of a linear mechanical system that provided a high precision in the trajectory of the base platform. Three important factors were investigated such as platform speed, the main stresses present and the manufacturing material. A descriptive type methodology was used which consisted of conducting the study as a discrete particle system. The optimum conditions for the efficiency of its operation were a linear velocity of 1.44 mm/s, maximum shear stress in the power screw of 283.57 kPa, which was calculated by means of static analysis to determine as the material of medium carbon steel of type AISI 1040, which due to its ductility, facilitated the machining of the power screw. This provided a mechanical efficiency of 30.9%. The kinematic calculations of the system were made with standardized elements found on the market.
Resumen: El proceso de soldadura GMAW es ampliamente estudiado debido a su alta productividad y bajo costo. En este trabajo se han revisado las investigaciones orientadas a la inspección del proceso de GMAW a través de sistemas de visión artificial con el objetivo de establecer los principales elementos utilizados en estos sistemas destacando dos categorías: métodos computacionales (software y algoritmos generales), materiales y modelos matemáticos (métodos estadísticos y numéricos). Estas categorías se traslapan en el estudio y se han utilizado para evaluar el costo en términos de recursos humanos y recursos económicos. Las investigaciones revisadas se desarrollaron en la última década, con la excepción de algunas investigaciones que desempeñaron un papel principal en el desarrollo de los sistemas de inspección de los procesos GMAW. Finalmente, se han destacado los posibles campos de investigación para aquellos que intentan explorar sistemas de visión artificial para inspección de procesos GMAW.Palabras clave: GMAW, soldadura, visión artificial, inspección.
Abstract:The GMAW welding process is widely studied due to its high productivity and low cost. In this paper we have reviewed the research oriented to the inspection of the GMAW process through artificial vision systems to classify them and establish the main elements used in these systems highlighting three categories: technology (hardware), computational methods (software and general algorithms) And mathematical models (statistical and numerical methods). These categories overlap in the document and have been used to assess the cost in terms of human resources and economic resources. The reviewed research was developed over the last decade, with the exception of some research that played a major role in the development of GMAW process inspection systems. Finally, potential research fields for those attempting to explore artificial visual systems for inspection of GMAW processes have been highlighted.
Gas metal arc welding is one of the most influential processes in the production and repair of structures and equipment; therefore, the need to improve the productivity and quality of welded joints has led to the development of techniques for good control of welding parameters. Also, the development of semi-automatic welding processes led to the control of one of the variables such as pulsed current; this technique is characterized by a lower heat input and lower energy expenditure, which directly influences the structural quality of the welded joint and the geometry of the weld bead. This work focused on evaluating the effects of various welding operating parameters using the central composite design tool based on the response surface methodology; next, the experimental development employed an inverter type power source for weld depositions, a commercial grade Stargold clean 96% Ar and 4% CO2 shielding gas at the rate of 15 L/min stationary arc, a 1.2 mm metal cored wire for welding deposit and a carbon steel base plate with a thickness of 6 mm. During the welding process, the torch was kept at a 90° inclination and a 16 mm stroke. To examine the adequacy of the empirical models and the significance of the regression coefficients, the variance analysis was employed. Consequently, the graphs were obtained through the determination of the model; from the statistical results obtained, it was shown that the above models were adequate to predict the weld width, bead height, and penetration within the range of variables studied. Furthermore, it was observed that the wire feed rate it has a very marked effect on weld bead geometry, followed by frequency pulse and peak current; finally, the effectiveness of employing these methodologies for the management of variables attributing to the execution of welding tasks with higher accuracy was demonstrated.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.