Relevant bibliographies by topics / Optimization of welding Parameters

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Academic literature on the topic 'Optimization of welding Parameters'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Optimization of welding Parameters"

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Ng, Chuan Huat, and Mohd Khairulamzari Hamjah. "Welding Parameter Optimization of Surface Quality by Taguchi Method." Applied Mechanics and Materials 660 (October 2014): 109–13. http://dx.doi.org/10.4028/www.scientific.net/amm.660.109.

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An experimental study of GTAW was conducted to determine the optimization of weld parameters on the droplet formation in the surface quality of weld pools. These optimization investigations consisted of welding current, welding speed and feed rate. The strength and surface quality of weld pool were measured for each specimen after the welding parameter optimizations and the effect of these parameters on droplet formation were researched. To consider these quality characteristics together in the selection of welding parameters, the Orthogonal Array of Taguchi method is adopted to analyze the effect of each welding parameter on the weld pool quality, and then to determine the welding parameters with the optimal weld pool quality.
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Vishwakarma, Shailesh Kumar, Anurag Shrivastava, and Sharmistha Singh. "Optimization of Resistance Spotwelding Parameters Using Taguchi Method." International Journal of Emerging Research in Management and Technology 6, no. 7 (June 29, 2018): 196. http://dx.doi.org/10.23956/ijermt.v6i7.211.

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Resistance spot welding (RSW) is a major sheet metal joining process in many industries, such as the automobile, domestic appliances, and space craft fabrication. It is one of the oldest of the electric welding processes in use by industry today. Furthermore, other metal-to-metal connections, such as wire-to-wire joints in the electronics industry, are accomplished by resistance spot welding. Application-specific measures, such as the diameter of the welding spot, define the quality of the joint. The weld is made by a combination of heat, pressure, and time parameters. As the name implies, it uses the resistance of the materials to the flow of electric current that causes a localized heating in the parts to be joined. Understanding of physical mechanisms for easily manipulating and controlling weld qualities in advance is extremely important. This paper represents the optimization of various parameters of resistance spot welding. The experimental studies have been conducted under varying pressure, welding current, pressure, and welding time parameters. In this investigation the quality characteristic (tensile strength and nugget diameter) parameters have been considered using Taguchi Method. The experimental studies have been carried out by varying welding currents, welding pressure and weld times for joining two sheets. The results of the investigation indicate the welding current to be the most significant parameter controlling the weld tensile strength as well as the nugget diameter. The contribution of welding current, holding time and pressure to tensile strength are 61%, 29%, 4% respectively and the contribution of these parameters to nugget diameter are 81%, 1.7%, 17% respectively. Relationship graphs have been plotted between tensile strength and nugget diameter with parametric variations according to orthogonal array.
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Sreeraj, P., T. Kannan, and Subhashis Maji. "Optimization of GMAW Process Parameters Using Particle Swarm Optimization." ISRN Metallurgy 2013 (January 22, 2013): 1–10. http://dx.doi.org/10.1155/2013/460651.

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To improve the corrosion-resistant properties of carbon steel cladding process is usually used. It is a process of depositing a thick layer of corrosion resistant material-over carbon steel plate. Most of the engineering applications require high strength and corrosion resistant materials for long-term reliability and performance. By cladding, these properties can be achieved with minimum cost. The main problem faced in cladding is the selection of optimum combinations of process parameters for achieving quality clad and hence good clad bead geometry. This paper highlights an experimental study to optimize various input process parameters (welding current, welding speed, gun angle, contact tip to work distance, and pinch) to get optimum dilution in stainless steel cladding of low-carbon structural steel plates using gas metal arc welding (GMAW). Experiments were conducted based on central composite rotatable design with full-replication technique and mathematical models were developed using multiple regression method. The developed models have been checked for adequacy and significance. Using particle swarm optimization (PSO) the parameters were optimized to get minimal dilution.
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Reddy, M. S. Amarnath, Mr J. Sree Hari, and Mr K. Sai Kiran. "Optimization of Process Parameters in MIG Welding of Two Dissimilar Materials." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (October 31, 2018): 992–97. http://dx.doi.org/10.31142/ijtsrd18749.

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da Silva, Marcos Mesquita, Valmir Rodrigues Batista, Theophilo Moura Maciel, Marco Antonio dos Santos, and Taynara Lacerda Brasileiro. "Optimization of submerged arc welding process parameters for overlay welding." Welding International 32, no. 2 (October 16, 2017): 122–29. http://dx.doi.org/10.1080/09507116.2017.1347325.

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Costanza, Girolamo, Maria Elisa Tata, and Diego Cioccari. "Explosion Welding: Process Evolution and Parameters Optimization." Materials Science Forum 941 (December 2018): 1558–64. http://dx.doi.org/10.4028/www.scientific.net/msf.941.1558.

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The development of explosion welding (EXW) technology underwent a stop as soon as it was introduced, however, in the recent years an increasing interest was found due to the wide range of materials which can be welded, similar and especially dissimilar ones. In addition to the high quality, such welded joints show a good compromise among the involved materials properties. Literature does not provide a comprehensive understanding of the whole mechanism and occurring phenomena but is mostly limited to analyse just some process parameters, like the investigations on joint properties that can be achieved if process takes place under vacuum or open air. In this work some key points are discussed to describe the evolution step of the process and the innovations introduced like the MIL (metallic-intermetallic laminate) composites for aerospace industry. Process parameters are analyzed to highlight the positive and negative aspects, the experiments in the laboratory will be described to confine the explosion to the joint and in particular to minimize the explosion energy and to improve the efficiency of the technique. At last some significant applications where this technique is widely used are showed.
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Qi, Wen Jun, Jian Jiang Fang, Yuan Yuan Zhu, and Yan Hua Huang. "Computer Aided Calculation of Welding Microstructure and Optimization of Welding Technological Parameters." Advanced Materials Research 33-37 (March 2008): 1383–88. http://dx.doi.org/10.4028/www.scientific.net/amr.33-37.1383.

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Welding Continuous Cooling Transformation (CCT) graph reflects the relationship between microstructure, hardness of steel heat-affected zone (HAZ), weld and welding cooling rate continuous cooling from high temperature, and it is the basic to select welding material, determine the optimum welding technology, relieve welding cracks and lay down standard of past heat treatment. Welding technological parameters determine welding cooling rate, and the rate determines microstructure, hardness of steel HAZ and weld, therefore we can calculate microstructure according to known welding technological parameters and optimum parameters according to wanted properties based on CCT graph. The system combines CAD and welding techniques, the welding CCT graphs are made into drawing blocks at the platform of AutoCAD, the important data of welding CCT are made into database, they are transferred and managed by Access. Based on Active Automation techniques using Visual Basic, AutoCAD graph base are transferred and data of welding CCT can be inquired and dynamically added to the base. The system has realized the prediction of welding structure and properties and optimizing welding technology.
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Chhibber, Rahul, Yogesh Kumar Singla, and Bijan Kumar Dutta. "Optimization of Process Parameters for Friction Welding of Bimetallic Welds." Advanced Materials Research 585 (November 2012): 440–44. http://dx.doi.org/10.4028/www.scientific.net/amr.585.440.

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Bimetallic welds made between ferritic steels and austenitic stainless steels are conventionally fabricated using arc welding procedures such as Tungsten Inert Gas, Metal Inert Gas, Shielded Metal Arc Welding and Submerged Arc Welding. However friction welding provides a new and unique solid state approach for joining many similar and dissimilar materials, which may not be possible to join by other welding techniques available without adding any external filler metal. This approach is mostly used in joining of dissimilar materials. The reason for increased utility being the absence of any external filler material which may otherwise add to the heterogeneity of the weld structure. In this paper, the fabrication and effect of friction welding parameters on mechanical-micro structural changes of bimetallic weld joints has been discussed. An attempt has also been made to relate the effect of friction welding parameters on the peak temperature values taken near faying surface and micro hardness changes measured in various zones of weld.
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Cohal, Viorel. "A Simulation of Spot Welding Process." Applied Mechanics and Materials 657 (October 2014): 226–30. http://dx.doi.org/10.4028/www.scientific.net/amm.657.226.

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The paper presents the optimization of spot welding parameters using offline simulation. The procedure of making simulation with SORPAS® is similar to the procedure of doing practical welding process, which can be divided into the following three steps:Data preparation - the materials and geometries of the workpieces and electrodes are defined, the type of welding machine is selected and the process parameters are specified.Running simulation of welding - the parts are welded in the selected welding machine with the specified process parameter settings. The simulations can be carried out in four ways: single simulations, batch simulations, automated optimizations and weld planning.Evaluation of results - the results of welding and quality of weld are evaluated thus the design and parameter settings are verified. With the optimization procedures the weld growth curve can be obtained.
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Saravanan, S., and Pandian Pitchipoo. "Optimization of GMAW Parameters to Improve the Mechanical Properties." Applied Mechanics and Materials 813-814 (November 2015): 456–61. http://dx.doi.org/10.4028/www.scientific.net/amm.813-814.456.

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In this paper, multi objective optimization of Gas Metal Arc Welding GMAW) parameters are carried out to yield good mechanical strength in welded joints. Most of the failures are occurred on the welded elements due to the setting of improper welding parameters. The strength of welded joints in GMAW depends on several input process parameters such as welding current, welding voltage, gas flow rate, torch angle, welding speed, wire size and electrode feed rate. Wrong selection of these process parameters will lead to bad quality welds. So there is a need to control the process parameters to obtain good quality welded joints. For getting the better values of these parameters, it needs to conduct experiments by varying the input process parameters that are affecting the strength of the welded joints. In this work nine experimental runs based on an L9 orthogonal array of Taguchi method are performed to optimize the strength of the welded joint. To achieve this Grey Relational Analysis (GRA) is used. In this work Aluminum6063 material is used as base material.
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Dissertations / Theses on the topic "Optimization of welding Parameters"

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Kačírek, David. "Optimalizace procesních parametrů pro laserové svařování tenkostěnných polotovarů z nerezavějící oceli." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2016. http://www.nusl.cz/ntk/nusl-241941.

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For increase productivity, the current technology of welding pipes bellows was replaced by laser welding. Experiment was carried out on the material of austenitic stainless steel 1.4541 for sheet thickness 0.25 mm and 0.15 mm. On sheet 0.25 mm was achieved comparable mechanical properties as the current manufacturing process upon achieving 10 times higher welding speeds. Samples of 0.15 mm thickness achieved to about 30% lower deepening over existing technology. For improvement was advised to reduce heat input. From an economic assessment shows that the price per 1 m of weld decreases with increasing speed welding. With higher welding speeds reduces the heat input.
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Ribardo, Charles Louis. "Desirability functions for comparing arc welding parameter optimization methods and for addressing process variability under six sigma assumptions /." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488203857249003.

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Ballat-Durand, Dorick. "Microstructural characterization and optimization of linear friction welded titanium alloys joints through the influence of the process parameters and post-weld heat treatments." Thesis, Compiègne, 2019. http://www.theses.fr/2019COMP2499.

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Cette étude s’inscrit dans une démarche de réduction des coûts dus à l’utilisation croissante d’alliages de titane pour des applications structurelles, via des procédés d’assemblage à l’état solide, comme le soudage par friction linéaire (LFW). Cependant, les chargements thermomécaniques transmis au matériau au cours du LFW engendrent d’importantes transformations microstructurales pouvant affecter sévèrement la durabilité mécanique de l’assemblage. Ces transformations sont dépendantes à la fois de l’histoire thermomécanique du matériau et de ses éléments d’alliage. Ainsi, la compréhension des mécanismes régissant ces transformations en lien avec l’impact des configurations procédé et/ou de traitements thermiques sur ces dernières apparaît comme nécessaire pour des applications industrielles. Les travaux présentés dans ce document se focalisent sur la caractérisation/optimisation microstructurale de deux joints obtenus à partir de deux alliages sensiblement différents : le β-métastable Ti-5Al-2Sn-2Zr-4Mo-4Cr (Ti17) et le quasi-α Ti-6Al-2Sn-4Zr-2Mo (Ti6242). Une analyse détaillée des mécanismes impactant les transformations microstructurales et la résorption des défauts sera exposée en s’appuyant sur des études multi-techniques et multi-échelle. Ces campagnes expérimentales ont conduit à l’élaboration d’un traitement thermique permettant d’obtenir des comportements mécaniques quasi-homogènes au sein des structures soudées. De plus, les effets des principaux paramètres de LFW sur les microstructures ont été déterminés fournissant ainsi à la littérature des données essentielles pour la dissipation des défauts et le contrôle des textures de déformation
The present study follows up two major development axes focusing on the increase in use of Ti-alloys for structur applications through the use of solid-state joining processes such as Linear Friction Welding (LFW). Yet, the therm mechanical loads involved during LFW result in remarkable microstructural changes deeply affecting the associate mechanical performances. These changes are concomitant with the thermo-mechanical processing history and the alloyin compositions of the welded Ti-alloys. Hence, a correct understanding of the microstructure transformation mechanism induced by LFW is required as well as identifying the influence of the process conditions and/or complementary he treatments on these changes. This dissertation is endeavored at characterizing and optimizing the microstructures of two butt-joints of significantl different Ti-alloys: the ß-metastable Ti-5Al-2Sn-2Zr-4Mo-4Cr (Ti17) and the near-α Ti-6Al-2Sn-4Zr-2Mo (Ti6242). The extensive microstructural investigations will focus on identifying the mechanisms responsible for transforming the microstructures and for the formation/resorption of welding defects. These investigations will combine temperatur measurements, micrographs, crystallographic/chemical analysis, hardness/tensile tests. The resulting comprehension the microstructural changes will enable designing a heat treatment capable of a quasi-homogenization of the tensil behavior across the assemblies. Moreover, identifying the effects of the main process parameters on the microstructur will provide the literature with valuable insights on tailoring the process duration, the recrystallization/textur development, and the defect removal
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Schlickmann, Marcelo Niehues. "Avaliação da influência dos parâmetros do processo de soldagem TIG sobre a qualidade de uma peça fabricada em aço elétrico silicioso." Universidade do Estado de Santa Catarina, 2010. http://tede.udesc.br/handle/handle/1763.

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Made available in DSpace on 2016-12-08T17:19:35Z (GMT). No. of bitstreams: 1 0 - Capa.pdf: 49375 bytes, checksum: a82e2fca3ff3a4c1780c4fe39da86057 (MD5) Previous issue date: 2010-07-05
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The TIG welding process (Tungsten Inert Gas), also known as GTAW (Gas Tungsten ArcWelding), is the most commonly used process for welding of thin plates where there is a need for an excellent control of the temperature applied on the piece. This paper presents a study carried out in partnership between the Department of Graduate Studies in Scienceand Materials Engineering and the Department of Industrial Engineering and Stamping of WEG Equipamentos Elétricos S.A Motors Division. It elaborates on the use of the experimental methodology DOE to investigate the influence of TIG welding process parameters, electrical current, welding speed and flow of the shielding gas on the quality of a piece fabricated with silicon electrical steel - ABNT 50F 466M, best known for its 50A 400 specification on the JIS standard. The first step of the study was the designing of the experiment to obtain welded pieces with different combinations of the parameters above mentioned and enable the evaluation of mechanical strength, fillet weld size, hardness and metallographic analysis of the test specimens. The information obtained with analysis of variance techniques (ANOVA) showed that the change in the levels of electrical current and welding speed promotes significant changes in final results. Furthermore, the different rates of gas flow tested caused no differences in response variables of the study. As a result, it was also possible to determine the combinations of these parameters that ensure the required quality and provide increased productivity, energy saving and reduced consumption of the shielding gas.
O processo de soldagem TIG (Tungsten Inert Gas), também conhecido como GTAW (Gas Tungsten Arc Welding), é o processo mais utilizado para a soldagem de chapas finas onde um excelente controle do aporte térmico à peça é necessário. Nesta dissertação é presentado um estudo realizado em parceria entre o Departamento de Pós-Graduação em Ciência e engenharia dos Materiais e os Departamentos de Engenharia Industrial e Estamparia da WEG Equipamentos Elétricos S.A. - Motores. Esse estudo envolveu a utilização da metodologia de delineamento experimental DOE para investigar a influência dos parâmetros do processo de soldagem TIG, corrente elétrica, velocidade de deslocamento da tocha e vazão do gás de proteção, na qualidade de uma peça fabricada com aço elétrico silicioso ABNT 50F 466M, mais conhecido pela classificação 50A 400 da norma JIS. Inicialmente foi elaborado o planejamento do experimento a fim de obter peças soldadas com diferentes combinações dos parâmetros acima mencionados e possibilitar a avaliação da resistência mecânica, dimensão dos cordões de solda, dureza e análise metalográfica dos corpos de prova. Os resultados obtidos, com o auxílio da técnica de análise de variância (ANOVA), mostraram que mudanças nos níveis de corrente e na velocidade de soldagem promoveram alterações significativas nos resultados. Por outro lado, as diferentes taxas de vazão de gás testadas não provocaram diferenças nas variáveis de resposta do estudo. Também foi possível determinar as combinações desses parâmetros que garantem a qualidade requerida e proporcionam aumento de produtividade, economia de energia elétrica e redução no consumo de gás de proteção.
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Jirathearanat, Suwat. "Advanced methods for finite element simulation for part and process design in tube hydroforming." Connect to this title online, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1071878178.

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Thesis (Ph. D.)--Ohio State University, 2004.
Title from first page of PDF file. Document formatted into pages; contains xxv, 222 p.; also includes graphics (some color). Includes bibliographical references (p. 185-191).
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Melin, Timothy R. "Investigating Wood Welding Parameters Using a Prototype Welding Machine." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/420.

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Understanding how different processing variables influence wood welded bonds is vital if the technique will ever be used to create engineered lumber without using adhesives. A variation of vibration welding, wood welding uses pressure and friction to bond materials together. During welding, heat causes a softening in the wood, a naturally occurring composite material. This softening leads to fiber entanglement and a bond forms upon cooling. The goal of this research was to investigate several processing aspects of the wood welding procedure. A prototype wood welding machine, designed and fabricated from the ground up, was used to investigate the effects of various welding parameters using birch wood. Wood welds were evaluated on the basis of bond coverage and ultimate shear strength. Four experiments were performed: welding frequency and duration interaction, grain orientation effects, alternative welding completion metrics, and strength development over time. During the wood welding process, three distinct phenomena were repeatedly observed: smoke creation, welding residue formation, and an audible pitch change. The presence of each was recorded for every wood welded specimen and used later in additional data analysis. Investigating each of the welding phenomena was done in an attempt to better characterize when fusion was achieved at the weld interface. ImageTool, an image analysis software package, was used to investigate and quantify the often irregular bonds exposed after shear fracture. The results of the various welding variables were analyzed on the basis of shear strength and bond uniformity. From the birch samples, it was shown that better bonds result from lower welding frequencies and longer welding durations. The grain orientation analysis demonstrated that welding orientation marginally affects the average shear strength of the wood weld. The data from the alternative welding metrics suggests that welding time is not a quality indicator of welding completion (bond coverage). The strength development trials confirmed previous research; wood welds obtain most of their strength in a relatively short period of time. Douglas fir and poplar both proved to be weldable for the first time, but they were sufficiently weaker than birch. When welding was attempted with Douglas fir under similar pressures used for birch, Douglas fir samples would commonly “washboard.” With reduced welding pressure, Douglas fir formed wood welds more easily.
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Erener, Yavuz. "Analysis Of Welding Parameters In Gas Metal Arc Welding By A Welding Robot." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/2/12607766/index.pdf.

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ANALYSIS OF WELDING PARAMETERS IN GAS METAL ARC WELDING BY A WELDING ROBOT Erener, Yavuz M.S., Department of Mechanical Engineering Supervisor : Prof. Dr. R. Tuna Balkan Co-Supervisor : Prof. Dr. M. A. Sahir Arikan September 2006, 130 pages In Robotic Gas Metal Arc Welding process, the welding parameters controlled by the welder (travel speed of the welding torch, wire feed speed, current, voltage, wire diameter, etc.) should be considered to obtain a desired welding quality. To design an appropriate welding model for the used equipment, the effects of each parameter should be studied by carrying out an adequate number of experiments. The welding process is described by analyzing the experimental data to define the relationships between the welding parameters and process variables. Various regressional models can be suggested to establish the analytical relationships. In this study, the relationship between bead geometry and voltage, current, travel speed and wire feed speed is established by using a specific computer program developed for this purpose.
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Suder, Wojciech Jerzy. "Study of fundamental parameters in hybrid laser welding." Thesis, Cranfield University, 2011. http://dspace.lib.cranfield.ac.uk/handle/1826/7288.

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This thesis undertakes a study of laser welding in terms of basic laser material interaction parameters. This includes power density, interaction time and specific point energy. A detailed study of the correlation between the laser material interaction parameters and the observed weld bead profiles is carried out. The results show that the power density and the specific point energy control the depth of penetration, whilst the interaction time controls the weld width. These parameters uniquely characterise the response of the material to the imposed laser energy profile, which is independent of the laser system. It is demonstrated that by studying the laser welding with respect to the basic laser material interaction parameters also helps explain some phenomenological phenomena in laser welding, such as the effect of beam diameter on the weld profile. In addition a new approach for parameter selection in laser and hybrid laser welding is investigated. A phenomenological model allowing achievement of a particular laser weld on different laser systems is developed. In the proposed method the user specifies the required weld profile, according to the quality requirements and then the model provides combination of laser parameters, which lead to this particular weld on a given laser system. This approach can be potentially used to transfer laser data between different laser systems with different beam diameters. An extensive study of residual stains in laser and hybrid laser welding is carried out. Both processes are compared either at a constant total heat input or at conditions required to achieve the same depth of penetration. The results demonstrate that there is a trade-off between the fit-up tolerance and the residual stress-induced distortion. Hybrid laser welding provides better ability to bridge gaps than the laser welding, but for the price of increased residual stress and distortion. Additionally, industrial study of the sensitivity to fit-up of hybrid laser welding with high deposition rate MIG sources is carried out. This thesis is a part of NEGLAP (Next Generation Laser Processing) project sponsored by EPSRC (Engineering and Physical Sciences Research Council) and Tata Steel. The main objective is to understand the process fundamentals and exploit the usefulness of laser technology in pipe industry.
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Marrero, Robert L. Jr. "Analysis of Variable Insensitive Friction Stir Welding Parameters." ScholarWorks@UNO, 2017. http://scholarworks.uno.edu/td/2385.

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Friction Stir Welding (FSW) was used to perform a Design of Experiment (DOE) to determine the welding parameters effects on yielding consistent mechanical properties across the length of the weld. The travel speed was varied across set forge force and RPM conditions, to find a dataset that will yield consistent mechanical properties independent of the travel speed. Six different welds were completed on two different aluminum panels, the advancing side being Aluminum alloy 2195-T8 at a thickness of .350”, with the retreating side being Aluminum alloy 2219-T851 with a gauge thickness of .360”. A Left-hand Right-hand self-reacting pin tool was used for each weld. The mechanical properties of interest are the Ultimate Tensile Strength, Yield Strength, Elasticity and Hardness. The strengths were evaluated by tensile testing, with the Elasticity being measure post break. Specimens were then polished where macrograph and micrograph analysis was completed. Micro-hardness testing was then completed on the weld nuggets.
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Philander, Oscar. "Mathematical modelling of welding : sensitivity of residual stresses and thermal dilatations on welding parameters." Thesis, Peninsula Technikon, 1998. http://hdl.handle.net/20.500.11838/2227.

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Thesis (MTech (Mechanical Engineering))--Peninsula Technikon, 1998.
In South Africa, the determination of residual stress distribution and undesirable metallurgical phase fractions that are formed in components during welding are been dealt with in a destructive or semi-destructive manner. This dissertation is an attempt at enhancing the acquisition of residual components found in welded structures. It shows how finite element methods can be used to obtain these results. TIG welding is modeled as a thermo-mechano-metallurgical (TMM) problem. The mathematical and finite element models for welding described in this study is based on the work performed by Ronda and Oliver. These models has not yet fully been incorporated into any of the existing computational tools and therefor, a commercial computational software program, SYSWELD 2, was employed to perform the welding simulations. The Leblond material models are incorporated into this software program, and the model that is used for this study is described in this text. Computational simulations were performed to study the effects that the sensitivity of welding parameters would have on the resulting shape and size of Heat Affected Zones, depth and width of penetration, temperature fields, metallurgical solid phase fractions, as well as residual stress distribution and deformation. The results of these simulations were compared to laboratory experiments.
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Books on the topic "Optimization of welding Parameters"

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Novak, Francis G. A correlation of welding solidification parameters to weld macrostructure. Monterey, Calif: Naval Postgraduate School, 1992.

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Salminen, Antti. The effects of filler wire feed on the efficiency, parameters and tolerances of laser welding. Lappeenranta: Lappeenranta University of Technology, 2001.

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Martikainen, Jukka K. On the effects of welding parameters on weld quality of plasma arc keyhole welding of structural steels. Lappeenranta: Lappeenranta University of Technology, Department of Mechanical Engineering, 1989.

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Jernstrom, Petteri. The effects of real-time control of welding parameters on weld quality in plasma arc keyhole welding. Lappeenranta, Finland: Lappeenranta University of Technology, 2000.

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Moayyedian, Mehdi. Intelligent Optimization of Mold Design and Process Parameters in Injection Molding. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03356-9.

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Generalized optimal control of linear systems with distributed parameters. Dordrecht: Kluwer Academic Publishers, 2002.

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Hosseinioun, M. M. The influence of welding parameters and parent plate metallurgical characteristics on solidification of austeniticstainless steel weld metals. Uxbridge: Brunel University, 1986.

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IUTAM Symposium on Field Analyses for Determination of Material Parameters-- Experimental and Numerical Aspects (2000 Kiruna, Sweden). IUTAM Symposium on Field Analyses for Determination of Material Parameters-- Experimental and Numerical Aspects. Boston: Kluwer Academic Publishers, 2003.

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Lerch, F. J. Optimum data weighting and error calibration for estimation of gravitational parameters. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1989.

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Mischenko, Aleksandr, and Anastasiya Ivanova. Optimization models for managing limited resources in logistics. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1082948.

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In the proposed monograph, optimization models for managing limited resources in logical systems are considered. Such systems are primarily used by industrial enterprises, transport companies and trade organizations, including those that carry out wholesale activities. As a rule, the efficiency of these objects largely depends on how rational use of limited resources such as: consumer camera business, labor, vehicles, etc. In this paper, various approaches to managing such resources are considered both for deterministic models and for the situation when a number of model parameters are not specified exactly, that is, for stochastic models. In this case, it is proposed to evaluate the stability of models to the occurrence of various types of risk events, both by the structure of the solution and by the functionality. It is addressed to senior students, postgraduates and masters studying in the specialty "Management" and "Logistics", as well as specialists in the field of logistics systems modeling.
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Book chapters on the topic "Optimization of welding Parameters"

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Suryaprakash, S., S. Vishal, M. Sethu Raman, S. Rajendra Kumar, M. Umar, and T. Deepan Bharathi Kannan. "Optimization of Welding Parameters in CMT Welding of Al 5083." In Springer Proceedings in Materials, 663–72. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8319-3_66.

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Moi, S. C., R. Rudrapati, A. Bandyopadhyay, and P. K. Pal. "Design Optimization of Welding Parameters for Multi-response Optimization in TIG Welding Using RSM-Based Grey Relational Analysis." In Lecture Notes on Multidisciplinary Industrial Engineering, 193–203. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9072-3_17.

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Kumar, Deepak, and Jatinder Kumar. "Optimization of Parameters in Friction Stir Welding of AA6101-T6 by Taguchi Approach." In Advanced Engineering Optimization Through Intelligent Techniques, 361–70. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8196-6_32.

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Chauhan, Abhishek, and Sanjeev Kumar. "Optimization of Friction Stir Welding Parameters for Similar Base Material Combinations." In Advances in Engineering Materials, 665–75. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6029-7_61.

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Kumar, Sanjay, Pravin K. Singh, D. Patel, and S. B. Prasad. "Experimental Investigation and Optimization of Welding Parameters on TIG Welding of Stainless Steel AISI 304 Plates." In Innovation in Materials Science and Engineering, 91–102. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2944-9_10.

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Lotpy, Mohammad Azhan Mohd Najib, Azman Ismail, Fauziah Ab Rahman, Megat Khalid Puteri Zarina, Bakhtiar Ariff Baharudin, Mokhtar Awang, and Darulihsan Abdul Hamid. "Optimization of Welding Parameters for Self-Support Friction Stir Welding (SS-FSW) on AA6063 Pipe Joints." In Advanced Engineering for Processes and Technologies II, 299–306. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67307-9_28.

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Ramesha, K., P. D. Sudersanan, N. Santhosh, G. Ravichandran, and N. Manjunath. "Optimization of Friction Stir Welding Parameters Using Taguchi Method for Aerospace Applications." In Lecture Notes on Multidisciplinary Industrial Engineering, 293–306. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3254-2_27.

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Addamani, Rudreshi, H. V. Ravindra, and C. S. Darshan. "Optimization of P-GMAW Welding Parameters Using Taguchi Technique for SS304L Pipes." In Techno-Societal 2016, 787–97. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53556-2_81.

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Uppada, Sudhakar, Subbarama Kousik Suraparaju, M. V. A. Raju Bahubalendruni, and Sendhil Kumar Natarajan. "Optimization of Process Parameters in Resistance Spot Welding Using Artificial Immune Algorithm." In Lecture Notes in Mechanical Engineering, 477–85. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2696-1_47.

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Haribabu, Sangathoti, Muralimohan Cheepu, Venkateswarlu Devuri, and Venkata Charan Kantumuchu. "Optimization of Welding Parameters for Friction Welding of 304 Stainless Steel to D3Tool Steel Using Response Surface Methodology." In Techno-Societal 2018, 427–37. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16962-6_44.

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Conference papers on the topic "Optimization of welding Parameters"

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Lu, Qinghua, Zhishui Yu, Guoxiang Xu, and Jianping He. "Research on Narrow Gap Welding Parameters Optimization." In 2009 International Conference on Measuring Technology and Mechatronics Automation. IEEE, 2009. http://dx.doi.org/10.1109/icmtma.2009.22.

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Widaatalla, Adil, Devdas Shetty, and Tom Eppes. "Optimization of parameters for effective welding of aerospace components." In ICALEO® 2006: 25th International Congress on Laser Materials Processing and Laser Microfabrication. Laser Institute of America, 2006. http://dx.doi.org/10.2351/1.5060756.

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Jokinen, Tommi, Petteri Jernstroem, Miikka Karhu, Ilkka Vanttaja, and Veli Kujanpaeae. "Optimization of parameters in hybrid welding of aluminum alloy." In LAMP 2002: International Congress on Laser Advanced Materials Processing, edited by Isamu Miyamoto, Kojiro F. Kobayashi, Koji Sugioka, Reinhart Poprawe, and Henry Helvajian. SPIE, 2003. http://dx.doi.org/10.1117/12.497793.

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Xiao-Ying, Ma, Sun Zhi-Li, and Cui Jie. "Global Optimization of Welding Parameters Based on Improved EGO Algorithm." In 2017 International Conference on Computer Systems, Electronics and Control (ICCSEC). IEEE, 2017. http://dx.doi.org/10.1109/iccsec.2017.8447043.

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Tutum, Cem C., and Jesper H. Hattel. "Multi-objective optimization of process parameters in friction stir welding." In the 12th annual conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1830483.1830724.

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Khalid, Mohammad. "Process Parameters Optimization Of Tungsten Inert Gas Welding by Taguchi Method." In 2019 Advances in Science and Engineering Technology International Conferences (ASET). IEEE, 2019. http://dx.doi.org/10.1109/icaset.2019.8714210.

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Payares-Asprino, Carolina, and John P. H. Steele. "Optimization of GMAW Welding Parameters in Duplex Stainless Steel Welds Mechanical Properties." In ASME 2009 Pressure Vessels and Piping Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/pvp2009-77203.

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The objective of the current work is to provide sufficient knowledge of the welding industry to allow the optimization of the process so as to achieve best final properties. The welding process is complex with many interacting variables controlling the procedure. In addition, not all of the physics of the process, particularly with regard to the factors which control mechanical properties, are well understood. It is unlikely that a full analytical model can be prepared and physically based numerical techniques will also suffer from a lack of basic understanding. A model for use as an optimization tool will thus have to proceed along different lines. Fortunately, this work has produced a wealth of experimental observations, which can be used for optimization. In this research, several welds were fabricated using Gas Metal Arc Welding process at different welding conditions. The technique of Response Surface Methodology was applied to develop a mathematical model to analyze various effects of GMAW parameters on the and mechanical properties such as yield strength and ultimate tensile strength of Duplex Stainless Steel weldments.
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Islam, Mohammad R., Jens Rohbrecht, Arjaan Buijk, Ehsan Namazi, Bing Liu, and Keiichi Motoyama. "Computational Optimization of Arc Welding Parameters Using Coupled Genetic Algorithms and Finite Element Method." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-63628.

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An effective and rigorous approach to determine optimum welding process parameters is implementation of advanced computer aided engineering (CAE) tool that integrates efficient optimization techniques and numerical welding simulation. In this paper, an automated computational methodology to determine optimum arc welding process control parameters is proposed. It is a coupled Genetic Algorithms (GA) and Finite Element (FE) based optimization method where GA directly utilizes output responses of FE based welding simulations for iterative optimization. Effectiveness of the method has been demonstrated by predicting optimum parameters of a lap joint specimen of two thin steel plates for minimum distortion. Three dimensional FE model has been developed to simulate the arc welding process and validated by experimental results. Subsequently, it is used by GA as the evaluation model for optimization. The optimization results show that such a CAE based method can predict optimum parameters successfully with limited effort and cost.
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Panda, B. N., M. V. A. Raju Bahubalendruni, and B. B. Biswal. "Optimization of resistance spot welding parameters using differential evolution algorithm and GRNN." In 2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO). IEEE, 2014. http://dx.doi.org/10.1109/isco.2014.7103917.

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Praga-Alejo, R. J., L. M. Torres-Trevio, and M. R. Pia-Monarrez. "Optimization Welding Process Parameters through Response Surface, Neural Network and Genetic Algorithms." In 2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA). IEEE, 2008. http://dx.doi.org/10.1109/cerma.2008.70.

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Reports on the topic "Optimization of welding Parameters"

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Feng, Zhili, Tao Dai, Doug Kyle, Yanli Wang, and Yiyu Wang. Report on FY 2020 Welding Parameters Optimization and the Fabrication of Qualified Alloy 709 Welds. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1820854.

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Quintana, Marie A., Tarasankar DebRoy, John Vitek, and Suresh Babu. Novel Optimization Methodology for Welding Process/Consumable Integration. Office of Scientific and Technical Information (OSTI), January 2006. http://dx.doi.org/10.2172/862404.

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Quintana, M. A., T. DebRoy, J. M. Vitek, and S. Babu. Novel Optimization Methodology for Welding Process/Consumable Integration. Office of Scientific and Technical Information (OSTI), January 2006. http://dx.doi.org/10.2172/940356.

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Howard, S. R., and G. J. McKinney. Qualification of the Reclamation Welding Parameters for 316 CRES Stems. Office of Scientific and Technical Information (OSTI), September 1997. http://dx.doi.org/10.2172/594306.

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Frederick, Greg, Benjamin J. Sutton, Jonathan K. Tatman, Mark Christopher Vance, Scarlett R. Clark, Zhili Feng, Roger G. Miller, Jian Chen, Wei Tang, and Brian T. Gibson. Complete Report on the Development of Welding Parameters for Irradiated Materials. Office of Scientific and Technical Information (OSTI), November 2017. http://dx.doi.org/10.2172/1414685.

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Emanuel, Kerry A. Variational Optimization of Sub-Grid Scale Convection Parameters. Office of Scientific and Technical Information (OSTI), November 1997. http://dx.doi.org/10.2172/760094.

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Thompson, Kathleen A. Optimization of NLC machine parameters for specific physics processes. Office of Scientific and Technical Information (OSTI), October 1999. http://dx.doi.org/10.2172/15065.

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Green, D. Optimization of CMS HCAL parameters using hanging file test data. Office of Scientific and Technical Information (OSTI), June 1994. http://dx.doi.org/10.2172/10169953.

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Zivkovic-Rothman, M. Variational optimization of sub-grid scale convection parameters. Final report. Office of Scientific and Technical Information (OSTI), November 1997. http://dx.doi.org/10.2172/663533.

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Sittaramane, Azhagapattar, and Govindarajan Mahendran. Optimization of Diffusion Bonding Parameters of Dissimilar Aluminium Matrix Composites. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, April 2019. http://dx.doi.org/10.7546/crabs.2019.04.11.

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