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  • 1.
    Ferreira, Guilherme Rezende Bessa
    et al.
    Faculty of Engineering, Federal University of Juiz de Fora, Juiz de Fora.
    Filho, Roberto Malheiros Moreira
    Faculty of Engineering, Federal University of Juiz de Fora, Juiz de Fora (BRA).
    Scotti, Americo
    Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för svetsteknologi (SV). Laprosolda, Center for Research and Development of Welding Processes, Federal University of Uberlandia, Uberlandia, Minas Gerais (BRA).
    Lagares, Moisés Luiz Jr.
    Faculty of Engineering, Federal University of Juiz de Fora, Juiz de Fora (BRA).
    Exploring a locus of maximum metal transfer stability of the short-circuiting GMAW process based on the reignition voltage peaks2021Inngår i: Journal of the Brazilian Society of Mechanical Sciences and Engineering, ISSN 1678-5878, E-ISSN 1806-3691, Vol. 43, nr 11Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The welding process stability is a critical factor regarding the quality of the manufactured products in the Industry. There are two approaches to assess the metal transfer stability based on droplet transfer period: scanning arc voltage or scanning wire feed speed. Studies based on each of the approaches can be found in current literature, but there are no reported studies evaluating the role of the arc reignition voltage peak (RiVP) on stability. Thus, this paper aimed to propose a novel method to assess the short-circuiting gas metal arc welding metal transfer stability based on arc reignition voltage peak distribution, via wire feed speed scanning route, and compare the effectiveness of the proposed method to the existing ones. First, the authors depicted the fundamentals of the ideal metal transfer (the most stable). A novel stability index based on the RiVP distribution was introduced. The results showed that the methodology was capable of defining a locus of maximum metal transfer stability through the arc RiVP regularity. It also demonstrated that, in a regular short-circuiting transfer mode, the RiVP obeys an expected distribution. Besides, the most regular arc reignition-related quantity was directly related to the most regular period-related characteristic. After validating the methodology, the proposed method was demonstrated to be, potentially, a novel manner to assess and seek the maximum stability of the short-circuiting gas metal arc welding process.

  • 2.
    Mishchenko, Andrii
    et al.
    Federal University of Uberlandia (UFU),Laprosolda-Center for Research and Development of Welding Processes, Uberlândia, Brazil.
    Wu, Leonardo
    Brazilian Nanotechnology National Laboratory (LNNano), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, Brazil.
    da Silva, Vanessa K.
    Brazilian Nanotechnology National Laboratory (LNNano), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, Brazil.
    Scotti, Americo
    Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för svetsteknologi (SV). Federal University of Uberlandia (UFU),Laprosolda-Center for Research and Development of Welding Processes, Uberlândia, Brazil.
    Analysis of residual stresses resulting from the surface preparation for X-ray diffraction measurement2018Inngår i: Journal of the Brazilian Society of Mechanical Sciences and Engineering, ISSN 1678-5878, E-ISSN 1806-3691, Vol. 40, nr 2, artikkel-id 94Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    There is no consensus in the literature on the need to remove preprocessing layers from the material prior to the measurement of residual stresses by X-ray diffractometer. Thus, the purpose of this work was to evaluate the residual stresses induced by material preprocessing and its evolution during the preparation of the surface by electrolytic removal. Sample surfaces were pre-processed by grinding and sandblasting and the resulting residual stresses were measured by X-ray diffractometry. At each removal stage, the evolution of residual stresses, hardness and microstructure of the surface were verified. It was concluded that different preprocessing methods can induce surface residual stresses of either tension or compression, reaching different depths. Removal by electrolytic method of the modified layer has shown itself capable of reducing significantly the magnitude of the residual stresses induced by preprocessing. On the other hand, the depth of deformed grains or surface hardness proved to be incapable of predicting the depth of induced residual stresses. Finally, it was discussed whether or not the layers removed by this method reveal the subsurface stresses and if the removal should take place before or after a second processing.

    Fulltekst (pdf)
    fulltext
  • 3.
    Scotti, Americo
    et al.
    Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för svetsteknologi (SV). Center for Research and Development of Welding Processes (Laprosolda), Federal University of Uberlandia (UFU), Uberlândia, MG (BRA).
    Batista, Márcio Andrade
    Department of Food Engineering, Federal University of Mato Grosso (UFMT), Cuiabá (BRA).
    Eshagh, Mehdi
    Högskolan Väst, Institutionen för ingenjörsvetenskap, Avdelningen för Matematik, Data- och Lantmäteriteknik.
    Inaccuracy in arc power calculation through a product of voltage and current averages2022Inngår i: Journal of the Brazilian Society of Mechanical Sciences and Engineering, ISSN 1678-5878, E-ISSN 1806-3691, Vol. 44, nr 1, s. 1-9, artikkel-id 11Artikkel i tidsskrift (Annet vitenskapelig)
    Abstract [en]

    Power is an indirect measurand, determined by processing voltage and current analogue signals through calculations. Using arc welding as a case study, the objective of this work was to bring up subsidies for power calculation. Based on the defnitions of correlation and covariance in statistics, a mathematical demonstration was developed to point out the diference between the product of two averages (e.g. P=UxI) and the average of the products (e.g. P=(UxI). Complementarily, a brief on U and I waveform distortion sources were discussed, emphasising the diference between signal standard deviations and measurement errors. It was demonstrated that the product of two averages is not the same as the average of the products, unless in specifc conditions (when the variables are fully correlated). It was concluded that the statistical correlation can easily fag the interrelation, but if assisted by covariance, these statistics quantify the inaccuracy between approaches. Finally, although the statistics' determination is easy to implement, it is proposed that power should always be calculated as the average of the instantaneous U and I products. It is also proposed that measurement error sources should be observed and mitigated, since they predictably interfere in power calculation accuracy.

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