Weld joint penetration determination is the key factor in welding process control area. Not only has it directly affected the weld joint mechanical properties, like fatigue for example. It also requires much of human intelligence, which either complex modeling or rich of welding experience. Therefore, weld penetration status identification has become the obstacle for intelligent welding system. In this dissertation, an innovative method has been proposed to detect the weld joint penetration status using machine-learning algorithms. A GTAW welding system is firstly built. Project a dot-structured laser pattern onto the weld pool surface during welding process, the reflected laser pattern is captured which contains all the information about the penetration status. An experienced welder is able to determine weld penetration status just based on the reflected laser pattern. However, it is difficult to characterize the images to extract key information that used to determine penetration status. To overcome the challenges in finding right features and accurately processing images to extract key features using conventional machine vision algorithms, we propose using convolutional neural network (CNN) to automatically extract key features and determine penetration status. Data-label pairs are needed to train a CNN. Therefore, an image acquiring system is designed to collect reflected laser pattern and the image of work-piece backside. Data augmentation is performed to enlarge the training data size, which resulting in 270,000 training data, 45,000 validation data and 45,000 test data. A six-layer convolutional neural network (CNN) has been designed and trained using a revised mini-batch gradient descent optimizer. Final test accuracy is 90.7% and using a voting mechanism based on three consequent images further improve the prediction accuracy.

Welding is a common industrial practice that has the potential to emit air pollutants. Emission factors are useful indicators to help in the understanding of the extent of pollution from a process and managing them to reduce or minimize health impacts. The objective of this thesis is to determine emission factors applicable to the gas metal arc welding (GMAW), under varying current and voltage conditions. The most used base metals and an electrode for the shipbuilding industry were considered. A weld fume chamber was used to achieve the project goals along with standard sampling and analytical procedures. Three test runs were performed for each sampling scenario to ensure repeatability. The EPA EF average for MS experiments with the ER70S-6 electrode is 5.2 g/kg, and for SS experiments with the ER316L-Si electrode is 3.2 g/kg, while the average results for this study were 6.81 g/kg and 3.28 g/kg respectively.

For the last decades usage of aluminium alloys have been increasing tremendously. They have been used in aerospace industry widely and now aluminium alloys are becoming more and more popular in automotive and defense industries. Consequently / successful welding of aluminium alloys gains importance. In this study a research is carried out on eldability of plates having different thicknesses of composition 5754 aluminium and 6063 aluminium in T-fillet geometry using Gas-metal Arc Welding technique. It was aimed to have a successful joint without using pre-weld and post-weld heat treatments. During tests welding current and voltage were the varying parameters as welding speed was held constant. Macro-examinations were performed to see the penetration of the weld metal. It was seen that the type of filler wire greatly effects weld penetration. Hardness tests, tensile tests were done to compare the mechanical properties of the welded joints with different filler wires. Despite having better penetration in 4043 filler wire used weld joints, 5356 filler wire used weld joints had higher tensile strength and ductility. In the second part of the study, a dynamic loading machine was designed and manufactured to see the behavior of the fillet welds under dynamic loading. The amount of stress and strain given to the specimen on this machine was adjustable but can&rsquo / t be measured. The tests that were made with this machine aimed only to compare the number of cycles of specimens before fracture. For dynamic loading tests two groups of specimens were prepared with filler wire 4043 / each group having been welded with different heat inputs. It was aimed to see the effect of welding heat input on service lifes but no significant difference between cycle numbers of specimen groups having been welded with different heat inputs was observed. Microstructure examinations of these specimens revealed that coarsening the grains, grain boundaries, particles in PMZ and HAZ regions between Al 6063 base metal and weld zone made these areas more susceptible and favorable for crack propogation than Al 6063 base metal.

Submitted by Claudinei Pracidelli (cpracide@ipen.br) on 2015-08-07T14:08:44Z No. of bitstreams: 0 / Made available in DSpace on 2015-08-07T14:08:44Z (GMT). No. of bitstreams: 0 / Os aços inoxidáveis têm um amplo campo de aplicação, por ter alta resistência mecânica e à corrosão quando trabalha em temperaturas elevadas. Uma aplicação recorrente é em reatores nucleares, podendo ser utilizado no vaso de pressão e nas estruturas de contenção do reator. O aço inoxidável austenítico foi muito utilizado no núcleo de reatores para revestimento do combustível nuclear. No entanto, foi substituído por uma liga de zircônio denominada zircaloy, em consequência da menor absorção de nêutrons térmicos desta liga. Após o acidente de Three Miles Island o aço inoxidável voltou a ser usado para esta aplicação. Para atenuar a corrosão intergranular, muito característica em aços inoxidáveis austeníticos, utiliza-se elementos estabilizantes como o nióbio. O aço inoxidável AISI 348 é estabilizado com nióbio. Neste trabalho, estudou a soldagem de tubos de AISI 348 e tampões de mesmo material soldados pelo processo GTAW (Gas Tungsten Arc Welding) sob diversas condições, procurando-se obter penetração de soldagem de 110 % da espessura do tubo e reforço do cordão de solda inferior a 0,15 mm. As amostras soldadas foram submetidas à caracterização microestrutural com microscopia ótica e microscopia eletrônica, utilizando também a técnica EDS (Espectroscopia de Energia Dispersiva). Foram realizados ensaios mecânicos de tração, fadiga, microdureza Vickers e arrebentamento, como também verificado a susceptibilidade à corrosão intergranular. O cordão de solda passou por ensaios não destrutivos de inspeção visual, dimensional, líquido penetrante, raios X e ensaio de estanqueidade por fuga de gás hélio. A microdureza não apresentou diferenças nas regiões da solda, não sendo possível identificar claramente a zona afetada pelo calor. O arrebentamento ocorreu a uma distância acima de 30 mm do cordão de solda, sendo o resultado considerado aprovado. No ensaio de tração, a ruptura ocorreu no cordão de solda e no metal de base tubo, o local da ruptura dependeu do afastamento lateral do eletrodo em relação à junta soldada. O ensaio de fadiga com corrente de 40 A obteve número de ciclos de 2,14 x 105. Este valor é 50% maior no tempo de vida comparado com amostra de 30 A. No ensaio de corrosão intergranular, as amostras que foram submetidas não apresentaram sensitização no contorno de grão. A análise por EDS identificou áreas com carbonetos oriundos do processo de fabricação do tubo. / Dissertação (Mestrado em Tecnologia Nuclear) / IPEN/D / Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP

With the growth in pipeline installations all over the world, there is a great demand for highly productive and robust welding systems. Mechanised pipe welding has been developed over the last 50 years and the present focus is towards development of automated pipeline welding systems. Pipeline welding automation is aimed at reducing costs and improving the installation quality. To attain fully automated pipe welding systems there is a need to rely on sensors and controls systems to mimic human like capabilities, such as visual inspection, in real time. The key aim of this work is to develop and evaluate methods of automatic assessment of weld bead shape and quality during narrow gap GMAW of transmission pipelines. This implies that the measured bead profile will be assessed to determine whether the bead shape will cause defects when the subsequent pass is deposited. Different approaches have been used to conquer the challenge that is emulating human reasoning, all with different objectives in mind. In spite of extensive literature research performed, very little information was found concerning the real time determination and assessment of bead shape quality and none of it was reported to be applied successfully to the pipeline industry. Despite the continuous development of laboratory laser vision systems commercial ones have been on the market for decades, some specifically developed for the welding application. Laser vision sensor systems provide surface profile information, and are the only sensors which can satisfactorily measure bead profile on a narrow groove. In order to be able to use them to automatically assess weld bead shape and quality, a deep understanding of their characteristics and limitations needs to be achieved. Once that knowledge was attained it was then applied to determine the best sensor configuration for this purpose. After that the development of human like judgment algorithms were developed to accomplish the aim that was set. Empirical rules were obtained from an experienced welder regarding the acceptability of bead shapes and were then applied in the developed system with good results. To scientifically evaluate and determine the rules to use in this system, further experiments would be required. The output of the system developed showed very accurate, reliable and consistent results that were true to the external measurements and comparisons performed. The developed system has numerous applications in the pipeline industry and it could easily be implemented on commercial systems.

A parallel finite element code with adaptive meshing was developed and used to study three dimensional, time-dependent fluid flows caused by thermocapillary convection as well as temperature and dopant distribution in fusion welding and floating zone crystal growth. A comprehensive numerical model of the three dimensional time-dependent fluid flows in a weld pool had been developed. This model considered most of the physical mechanisms involved in gas tungsten arc welding. The model helped obtaining the actual chaotic time-dependent melt flow. It was found that the fluid flow in the weld pool was highly complex and influenced the weld pool’s depth and width. The physicochemical model had also been studied and applied numerically in order to simulate the surfactant adsorption onto the surface effect to the surface tension of the metal liquid in a weld pool. Another model, a three dimensional time-dependent, with adaptive mesh refinement and coarsening was applied for simulating the effect of weak flow on the radial segregation in floating zone crystal growth. The phase change equation was also included in this model in order to simulate the real interface shape of floating zone. In the new parallel code, a scheme that keeps the level of node and face instead of the complete history of refinements was utilized to facilitate derefinement. The information was now local and the exchange of information between each and every processor during the derefinement process was minimized. This scheme helped to improve the efficiency of the parallel adaptive solver. / QC 20100527

Gas Metal Arc Welding (GMAW) is one of the main methods used to join structural members. One of the largest challenges involved in production of welds is ensuring the quality of the weld. One of the main factors attributing to weld quality is penetration depth. Automatic control of the welding process requires non-contact, non-destructive sensors that can operate in the presence of high temperatures and electrical noise found in the welding environment. Inspection using laser generation and electromagnetic acoustic transducer (EMAT) reception of ultrasound was found to satisfy these conditions. Using this technique, the time of flight of the ultrasonic wave is measured and used to calculate penetration depth. Previous works have shown that penetration depth measurement performance is drastically reduced when performed during welding. This work seeks to realize in-process penetration depth measurement by compensating for errors caused by elevated temperature. Neuro-fuzzy models are developed that predict penetration depth based on in-process time of flight measurements and the welding process input. Two scenarios are considered in which destructive penetration depth measurements are or are not available for model training. Results show the two scenarios are successful. When destructive measurements are unavailable, model error is comparable to that of offline ultrasonic measurements. When destructive measurements are available, measurement error is reduced by 50% compared to offline ultrasonic measurements. The two models can be effectively applied to permit in-process penetration depth measurements for the purpose of real-time monitoring and control. This will reduce material, production time, and labor costs and increase the quality of welded parts.

Objectif : Examiner la relation entre une exposition professionnelle aux fumées de soudage au gaz et à l’arc et le risque de développer un cancer du poumon, chez des travailleurs provenant de différents milieux de travail et exposés à de nombreuses substances de différentes concentrations. Méthodes : Nous avons mené deux études cas-témoins basés sur la population montréalaise (1979-86 et 1996-2001), incluant respectivement 857 et 736 cas, ainsi que des témoins appariés selon la fréquence des cas, le sexe et le lieu de résidence. Un historique détaillé des emplois occupés fut obtenu par entrevue et évalué par une équipe d’experts afin d’estimer l’intensité, la durée ainsi que l’exposition cumulative à un grand nombre de substances. Les fumées de soudage au gaz et à l’arc sont parmi les substances évaluées et nous avons pu calculer un rapport de cote (RC) et son intervalle de confiance de 95% (IC 95%) pour le risque de cancer du poumon en utilisant la régression logistique et en ajustant pour l’historique de tabagisme et plusieurs autres covariables pertinentes. Des analyses subséquentes ont permis d’explorer d’autres voies, comme la modification des effets observés par le tabagisme. Résultats : Les résultats obtenus à partir des deux études étant assez similaires, nous avons donc pu les combiner pour former une seule étude. Aucune association statistiquement significative n’a été trouvée entre le cancer du poumon et les fumées de soudage au gaz (RC=1,13; IC 95%=0,90-1,42) et les fumées de soudage à l’arc (RC=1,01; IC 95%=0,80-1,26). Par contre, dans le sous-groupe des non-fumeurs et fumeurs très légers, nous avons trouvé un risque accru de cancer du poumon en relation avec les fumées de soudage au gaz (RC=2,78; IC 95%=1,66-4,65) et à l’arc (RC=2,20; IC 95%=1,32-3,70). En se concentrant sur ce sous-groupe, nous avons trouvé un risque encore plus élevé de développer un cancer du poumon pour ceux exposé à des doses plus substantielles, pour le soudage au gaz (RC=4,63; IC 95%=2,14-10,03) et à l’arc (RC=3,45; IC 95%=1,59-7,48). Discussion : Globalement, aucun excès de risque causé par une exposition aux fumées de soudage n’a été détecté, mais un excès a été trouvé chez les non-fumeurs et fumeurs légers uniquement et ce, pour les deux types de fumées de soudage. L’effet des fumées de soudage peut être voilé chez les fumeurs, ou bien les non-fumeurs pourraient être plus vulnérables. / Objective: To investigate the relationship between occupational exposure to gas and arc welding fumes and the risk of lung cancer among workers exposed to various agents at various concentrations and over a wide range of occupations. Methods: We conducted two population-based case-control studies in Montreal (1979-1986 and 1996-2001), including 857 and 736 cases respectively and frequency-matched controls. Detailed job histories were obtained by interview and evaluated by an expert team of chemist-hygienists to estimate intensity, duration and cumulative exposure to multiple substances for each job. Gas and arc welding fumes were among the agents evaluated, and we estimated odds ratios (ORs) and 95% confidence intervals (CIs) for lung cancer using logistic regression, adjusting for smoking history and other relevant covariates. Subsequent analyses allowed us to explore other avenues, such as effect-measure modification by smoking. Results: The results from both studies were similar, so a pooled analysis was conducted. No significant association was found between lung cancer and gas welding fumes (OR=1,13; 95% CI=0,90-1,42) or arc welding fumes (OR=1,01; 95% CI=0,80-1,26). However, when restricting attention to light and non-smokers, we found an increased risk of lung cancer in relation to gas welding fumes (OR=2,78; 95% CI=1,66-4,65) and arc welding fumes (OR=2,20; 95% CI=1,32-3,70). When we further narrowed attention to workers with the highest cumulative exposures, we found even higher risk of lung cancer for gas (OR=4,63; 95% CI=2,14-10,03) and arc welding fumes (OR=3,45; 95% CI=1,59-7,48). Discussion: There was no detectable excess risk due to welding fumes among smokers; but among light and non-smokers there were excess risks related to both types of welding fumes. The effect of welding fumes may be masked in smokers or light and non-smokers may be more vulnerable.

No description available.

<p>U disertaciji je prikazan odabir rastvarača, veličine, vrste i udela čestica za aktivni premaz namenjen postizanju povećane dubine uvara na austenitnom nerđajućem čeliku pri zavarivanju netopljivom elektrodom u zaštiti inertnog gasa. Pored sastava aktivnog premaza, u disertaciji je izvršena optimizacija: geometrije elektrode, jačine struje i brzine zavarivanja. Nakon odabira perspektivnih tipova sastava premaza i parametara zavarivanja, na zavarenim uzorcima izvršena je karakterizacija mehaničkih osobina, hemijskog sastava i mikrostrukture.</p> / <p>In this doctoral thesis, the selection of solvent, size, type and the content of<br />oxide particles in activated flux aimed at increasing the penetration on<br />austenitic stainless steel in gas tungsten arc welding is presented. Besides<br />activated flux composition, the optimization of welding parameters such as<br />electrode geometry, welding current and welding speed was done. After the<br />selection of successful activated flux formulations and welding parameters,<br />the characterization of mechanical properties, chemical composition and<br />microstructure was determined.</p>