Abstract

In this study, GMAW and CMT welding technologies were evaluated in terms of their technological lifecycles based on their patent datasets together with the S-curve concept, and the joints were evaluated in terms of their welding characteristics. To predict the future trends for both technologies, different models based on the time-series and growth-curve methods were tested. From a process point of view, the results showed better performance and stability for the CMT process based on the heat input to the base material and the frequency of the short circuits. The temperature distribution in the sample revealed that the GMAW process delivers higher values and, consequently, greater heat transfer. Regarding the technological lifecycle, the analyses revealed that the CMT welding process, despite being recent, is already in its mature phase. Moreover, the GMAW welding process is positioned in the growth phase on the S-curve, indicating a possibility of advancement. The main findings indicated that through mathematical modelling, it is possible to predict, in a precise way, the inflection points and the maturity phases of each technology and chart their trends with expert opinions. The new perspectives for analysing maturity levels and welding characteristics presented herein will be essential for a broaden decision-making market process.

Highlights

  • Welding technologies, it is crucial to check the results likely to alter the development suggested by the Technology Lifecycle (TLC) [15]. to standcharacteristics of CMTidentify weldsfactors to have a slightly more pronounced bead compared ard Gas Metal Arc Welding (GMAW), which is4.expected to the low heat input, fast solidification, and higher

  • The arc energy of both processes presented similar values, the standard GMAW process seemed to transfer more energy to the base material, with the thermocouple registering a higher peak in temperature

  • For the GMAW process (Figure 6a), the analysis revealed that the first patent was dated 1950, is owned by the Air Reduction Company, and was invented by Muller [51]

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Summary

A Detailed Forecast of the Technologies Based on Lifecycle

André Souza Oliveira 1,2 , Raphael Oliveira dos Santos 2 , Bruno Caetano dos Santos Silva 1,2 , Lilian Lefol Nani Guarieiro 1,2 , Matthias Angerhausen 3 , Uwe Reisgen 4 , Renelson Ribeiro Sampaio 2 , Bruna Aparecida Souza Machado 2 , Enrique López Droguett 5 , Paulo Henrique Ferreira da Silva 6 and Rodrigo Santiago Coelho 1,2, *. SENAI CIMATEC, Programa de Pós-Graduação MPDS/GETEC/MCTI—Centro Universitário SENAI

Introduction
The TLC Approach Based on the S-Curve Concept
Sample Preparation
Temperature Measurements
Welding Characterisation
TLC Analyses of Technological Maturity
Data Collection and Preparation
Statistical Model Development and Tests
Analyses and Comparisons between the Models
Results and Discussion
Results anddue
TLC Analyses and
TLC Analyses and Assessment of Technological Maturity
Development of TLC Models and Analyses
Patents
10. GMAW—Normal probability of residuals
13. GMAW—Actual patents
Limitations
Conclusions
TLC Analyses

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