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.
Full textRibardo, 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.
Full textBallat-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.
Full textThe 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
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.
Full textCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
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.
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.
Full textTitle 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).
Melin, Timothy R. "Investigating Wood Welding Parameters Using a Prototype Welding Machine." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/420.
Full textErener, 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.
Full textSuder, Wojciech Jerzy. "Study of fundamental parameters in hybrid laser welding." Thesis, Cranfield University, 2011. http://dspace.lib.cranfield.ac.uk/handle/1826/7288.
Full textMarrero, Robert L. Jr. "Analysis of Variable Insensitive Friction Stir Welding Parameters." ScholarWorks@UNO, 2017. http://scholarworks.uno.edu/td/2385.
Full textPhilander, 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.
Full textIn 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.
Tomás, Bruno Manuel Coelho. "Magnetic pulse welding." Master's thesis, Faculdade de Ciências e Tecnologia, 2010. http://hdl.handle.net/10362/4890.
Full textZhou, Xingguo. "Friction stir welding simulation, optimization and design." Thesis, University of Strathclyde, 2013. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=25244.
Full textNovak, Francis G. "A correlation of welding solidification parameters to weld macrostructure." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/23596.
Full textA 3-D finite difference model simulating single pass autogenous welds was used to predict the temperature fields in HY-80 steel arc weldments at various powers and torch velocities. From the predicted temperature field, two important solidification parameters were calculated at the solid-liquid interface: temperature gradients and crystal growth velocities. These were correlated with the macrostructures observed in actual weldments. For purposes of model validation, the predicted and actual fusion zone sizes were in agreement, as were the predicted time temperature curves compared to those measured with thermocouples embedded in the plate.
Guendouze, Cheikh. "Computer assisted generation of parameters for resistance spot welding." Thesis, University of Nottingham, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319943.
Full textGreeff, Mary Louise. "The influence of welding parameters on the sensitisation behaviour of 3CR12." Diss., Pretoria : [s.n.], 2006. http://upetd.up.ac.za/thesis/available/etd-04052007-124929.
Full textMarkgren, Hanna. "Fatigue analysis - system parameters optimization." Thesis, Umeå universitet, Institutionen för fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-151755.
Full textSamek, Michal. "Optimization of Aircraft Tracker Parameters." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234937.
Full textJönsson, Pär Göran. "Arc parameters and metal transfer in gas metal arc welding." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/12470.
Full textMei, Nanxuan. "Characterization of Stainless Steel Welding Fume Particles : Influence of Stainless Steel Grade, Welding Parameters and Particle Size." Thesis, KTH, Materialvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189203.
Full textSingh, Anshuman. "Analysis and Design Optimization of Laser Stake Welded Connections." Fogler Library, University of Maine, 2008. http://www.library.umaine.edu/theses/pdf/SinghA2008.pdf.
Full textJohansson, Christopher. "Optimization of wall parameters using CFD." Thesis, KTH, Aerodynamik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-159875.
Full textJain, Ruchi V. "Optimization of energy parameters in buildings." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40445.
Full textIncludes bibliographical references (p. 34).
When designing buildings, energy analysis is typically done after construction has been completed, but making the design decisions while keeping energy efficiency in mind, is one way to make energy-efficient buildings. The conscious design of building parameters could decrease or completely eliminate the need for Heating, Ventilation and Air Conditioning systems, and thus, optimizing building parameters could help conserve a great amount of energy. This work focuses on two buildings - a passive solar house and an apartment in Beijing. The Beijing apartment is used to study natural ventilation in a space. Both buildings are modeled using EnergyPlus, and analyzed using VBA in Excel. The Genetic Algorithm Optimization Toolbox (GAOT) is used to optimize the parameters for the solar house. The program was run for 150 generations, with there being 20 individuals in each population. The optimized parameters for the solar house resulted in a mean internal temperature of 20.1 C, 7 C lower than that for randomly chosen parameters. The extreme temperatures in both cases were also markedly different, with the optimized parameters providing a more comfortable atmosphere in the house.
(cont.) The apartment parameters were not optimized due to the inherent difficulty in quantifying an objective function. Through the simulation however, it was determined that each window has mass inflow and outflow occurring at the same time. In order to check that mass was conserved through the flow of air in and out of the apartment, the net flow in or out through each window had to be considered. This comparison did show the conservation of mass, which provided confidence in the EnergyPlus model used.
by Ruchi V. Jain.
S.B.
Weitzel, T. Timothy. "Optimization of sweet sorghum processing parameters." Thesis, Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/80180.
Full textMaster of Science
Ludick, Mark. "Experimental sensitivity analysis of welding parameters during transition from globular to spray metal transfer in gas metal arc welding." Thesis, Peninsula Technikon, 2001. http://hdl.handle.net/20.500.11838/1269.
Full textSince the discovery of arc welding at the beginning ofthe century, metal transfer has been a topic ofresearch interest. Metal transfer can, in fact be related to weld quality, because it affects the arc stability. Furthermore, it determines the weld spatter, penetration, deposition rate and welding position. Gas Metal Arc Welding (also known as Metal Inert Gas- or MIG welding) is the most co=on method for arc welding steels and aluminurn alloys. Approximately 40% of the production welding in the country is accomplished by this process in which the thermal phenomena and melting ofthe solid electrode are coupled to the plasma arc and the weld pool. Thus the therrno- fluid behaviour of the electrode and detaching drops can have significant effects on the subsequent weld quality and production rate. The knowledge of how metal transfer affects this arc welding process is important for welding control and process automation, as well as in the development of improved welding consumables. Gas metal arc welding has a distinct feature, indicated by the results of Lesnewich [24], [23], that for most gases, there is a discrete metal droplet formation change between low and high current operations. Naturally the droplet size will have a significant influence on the properties ofthe welds. In globular transfer which occurs at low current, the welding electrode melts and produces large droplets (usually larger in diameter than the electrode wire diameter). This mode of transfer is associated with high spatter levels and thus undesirable in terms of welding economics. An increase in welding current will, for most welding! shielding gases, produce metal transfer with smaller droplets, which is termed spray transfer. This mode oftransfer is associated with high voltage and amperage settings, thus producing high deposition rates limited to the flaUhorizontal position.
Paranhos, R. P. R. "Numerical method for the prediction and optimization of welding procedures." Thesis, Cranfield University, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.278704.
Full textLopes, Thiago Cantos. "Balancing optimization of robotic welding lines: model and case study." Universidade Tecnológica Federal do Paraná, 2017. http://repositorio.utfpr.edu.br/jspui/handle/1/2621.
Full textLinhas robóticas de solda são comuns na indústria automobilística. Durante a produção de um veículo, sua estrutura metálica precisa ser soldada em um único corpo resistente. Isso é feito por meio de centenas de soldas a ponto por resistência, cada uma liga localmente duas ou mais placas metálicas. Distribuir eficientemente esses pontos entre robôs é particularmente desafiador, levando em conta que: cada robôs podem fazer acessar uma parte dos pontos de solda, há tempo de movimentação entre pontos e robôs podem colidir entre si se ocuparem o mesmo espaço físico ao mesmo tempo. Há muitas maneiras factíveis de distribuir pontos de solda. No entanto, cada uma gera um resultado econômico diferente: Se um robô soldar muitos pontos se tornará um gargalo e reduzirá a taxa média de produção.Obter o conjunto de decisões operacionais que gera o melhor desempenho é o objetivo de técnicas de otimização. Há uma ampla variedade de técnicas descritas na literatura de pesquisa operacional e ciência da computação: modelos matemáticos, algoritmos, heurísticas, meta-heurísticas, etc. No contexto industrial, tais técnicas foram adaptadas para diversas variantes de problemas práticos. No entanto, estas adaptações só podem resolver as variantes para as quais foram idealizadas. Se por um lado podem se traçar paralelos entre vários aspectos de linhas robóticas de solda e tais variantes, por outro o conjunto completo de características das linhas estudadas não é tratável por (ou convertível em) nenhuma delas. A presente dissertação desenvolve uma abordagem para otimizar tais linhas, baseada em um modelo de programação linear inteira mista desenvolvido para descrever o problema. Ela também apresenta um estudo de caso para discutir e ilustrar possíveis dificuldades de aplicação e como superá-las. O modelo apresentado foi aplicado a dados de uma linha robótica de solda da fábrica, composta por quarenta e dois robôs, quatro modelos de veículos e mais de setecentos pontos de solda por veículo. A média ponderada da redução em tempo de ciclo obtida pelo modelo foi de 17.5%. Variantes do modelo, concebidas para auxiliar trabalhos futuros, são apresentadas e discutidas.
Robotic welding manufacturing lines are production lines common in automobile industries. During a vehicle's production, the vehicle's metal structure must be welded in a single resistant body. This is made by hundreds of spot-welding points, each of which tie locally two or more metal plates. Efficiently distributing these welding points amongst robots is particularly challenging, taking in account that: not all robots can perform all weld points, robots must move their welding tools between weld points, and robots might interfere with one another if they use the same geometrical space. There are multiple feasible manners to distribute the welding points. However, each of these forms generates different economical results: If a robot performs too many points, it will become a line bottleneck and reduce average throughput. To find the set of operational decisions that yields the best output is the goal of optimization techniques. There are a wide variety of such techniques described in operations research and computer sciences literature: mathematical models, algorithms, heuristics, meta-heuristics, etc. In the industrial context, these techniques were adapted to related line balancing problems. However, these adaptations can only solve the specific variants they were designed to address. While parallels can be drawn between aspects of robotic welding lines and many of such variants, the full combined set of characteristics of the studied lines is not treatable by (or convertible to) any of them. This dissertation develops a framework to optimize such lines, based on mixed-integer linear programing model developed to describe the problem. It also presents a case study to discuss and illustrate possible difficulties and how to overcome them. The presented model was applied to data from the factory's robotic welding lines composed of forty-two robots (divided in thirteen stations), four vehicle models and over seven hundred welding points for each vehicle. The weighted average reduction percentage in cycle time obtained by the model was 17.5%. Model variants, designed to aid further works are presented and discussed.
Awang, Mokhtar. "The effects of process parameters on steel welding response in curved plates." Morgantown, W. Va. : [West Virginia University Libraries], 2002. http://etd.wvu.edu/templates/showETD.cfm?recnum=2682.
Full textTitle from document title page. Document formatted into pages; contains xiv, 133 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 83-85).
Titova, Polina. "Optimization of statistical parameters of Eberhard inequality." Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-39641.
Full textHochanadel, Joris Erich. "Effect of Beam Characteristics and Process Parameters on the Penetration and Microstructure of Laser and Electron Beam Welds in Stainless Steel and Titanium." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu160503470688313.
Full textPitrun, Miroslav. "The effect of welding parameters on levels of diffusible hydrogen in weld metal deposited using gas shielded rutile flux cored wires." Access electronically, 2004. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20050202.153920/index.html.
Full textGustavsson, Jonas. "Automated Performance Optimization of GSM/EDGE Network Parameters." Thesis, Linköping University, Linköping University, Communication Systems, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-52565.
Full textThe GSM network technology has been developed and improved during several years which have led to an increased complexity. The complexity results in more network parameters and together with different scenarios and situations they form a complex set of configurations. The definition of the network parameters is generally a manual process using static values during test execution. This practice can be costly, difficult and laborious and as the network complexity continues to increase, this problem will continue to grow.This thesis presents an implementation of an automated performance optimization algorithm that utilizes genetic algorithms for optimizing the network parameters. The implementation has been used for proving that the concept of automated optimization is working and most of the work has been carried out in order to use it in practice. The implementation has been applied to the Link Quality Control algorithm and the Improved ACK/NACK feature, which is an apart of GSM EDGE Evolution.
GSM-nätsteknologin har utvecklats och förbättrats under lång tid, vilket har lett till en ökad komplexitet. Denna ökade komplexitet har resulterat i fler nätverksparameterar, tillstånd och standarder. Tillsammans utgör de en komplex uppsättning av olika konfigurationer. Dessa nätverksparameterar har hittills huvudsakligen bestämts med hjälp av en manuell optimeringsprocess. Detta tillvägagångssätt är både dyrt, svårt och tidskrävande och allt eftersom komplexiteten av GSM-näten ökar kommer problemet att bli större.Detta examensarbete presenterar en implementering av en algoritm för automatiserad optimering av prestanda som huvudsakligen använder sig av genetiska algoritmer för att optimera värdet av nätverksparametrarna. Implementeringen har använts för att påvisa att konceptet med en automatiserad optimering fungerar och det mesta av arbetet har utförts för att kunna använda detta i praktiken. Implementeringen har tillämpats på Link Quality Control-algoritmen och Improved ACK/NACK-funktionaliteten, vilket är en del av GSM EDGE Evolution.
Lin, Wen-Chung, and 林文忠. "Optimization of Welding Process Parameters for Pressure Vessel." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/54456664768251465447.
Full text東南科技大學
防災科技研究所
98
Pressure vessel is considered as one of the dangerous equipment by Taiwan's Labor Safety and Health Law. The dangerous equipment will cause explosion to endangering workers and the public safety if manufactured or used inappropriately. Submerged Arc Welding (SAW) is commonly used in pressure vessel manufacturing. The welding quality will affect greatly to the make use safety of pressure vessel. Taguchi method is one of the most useful tools in experimental design. The method that has been widely used in occasions like less numbers of experiments can handle only single performance characteristic problems. The objective of this paper is to search the optimal welding parameters of SAW that is the most commonly used in the manufacture of pressure vessel by the Taguchi method with Grey relational analysis. The welding parameters (Stick-out, Welding current, Welding voltage, Travel speed) are optimized with considerations of the multiple response performance characteristics (the fusion of root, the face width of weld pool, and the undercut of weld pool).First, the Taguchi’s orthogonal array method which adapts to design an efficient experiment is used to plan the SAW process experiment and welding parameters in layout to reduce the experiment times in this study. In the meantime, the Grey relational grade is also used to find the optimal SAW parameters with the multiple response performance characteristics. The result of the experiment discovered that grey relational grade with the multiple performance characteristics increased from 0.6247 to 0.8042.The improvement percentage of the Grey relational grade is 28.7% that also increased the quality and the safety of pressure vessel. In the future, the dangerous equipment ensures the security of use from the manufacture source. Keywords:Optimization, Taguchi method, Gray relational analysis, submerged arc welding, SAW, Multiple performance characteristics, Dangerous equipment, Pressure vessel
吳丞宇. "Application of Taguchi method on Parameters Optimization of Flat Welding and Vertical welding in CO2 Welding." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/8c86pk.
Full text國立高雄應用科技大學
機械工程系
105
ABSTRACT The main purpose of this study is to research the optimization of the all-infiltration slotted butt welding of the low-carbon steel plate in CO2 gas Shield Metal Arc Welding, and the welding current (A), welding voltage (V), welding speed (cm / min), wire pro-truding amount (mm) as the main control factor affecting the welding quality, with the Taguchi L9 orthogonal table for welding parameter design, the implementation of nine groups of experiments In order to obtain the tensile strength of the weldment, the objective function of this study is tensile strength. The S / N signal noise ratio is calculated by the large characteristic of Taguchi method. Then, the response table, response graph and variation number (ANOVA) and other methods to find the best combination of welding parameters, the best combination of welding parameters obtained is the combination of A1, B1, C3, D1, that is, welding current: 120 A, welding voltage: 22 V, welding speed 400 mm / min, the protruding amount of wire: 20 mm, in which the contribution rate of welding speed is 68.61%, which is the factor that mainly affects the welding quality characteristic. The welding parameters are A1, B2, C1, D2, that is, welding current: 100 A, welding voltage: 21 V, welding speed 200 mm / min, wire protrusion: 25 mm, in which the contribution rate of welding speed is 59.46%, which Is the main factor affecting the quality characteristics of welding. And then based on the best combination of welding parameters to do further verifica-tion experiments, and finally verify that the optimal weldment tensile strength is better than the previous experiment, and the fracture location is in the base metal area, then the weld penetration and integration is good, (HAZ) of the weldment is less so that a better tensile strength can be obtained, so the combination of this parameter can be defined as a CO2 gas barrier Optimization of welding parameters for metal arc welding. The use of these parameters allows the operating costs and time to be minimized, and increase its competitiveness and timeliness, therefore the engineering design and process improvement could get a great benefit. Keywords:CO2 Gas Shield Metal Arc Welding, Taguchi Method, optimum parameters
陳奕全. "Study on optimization of fiber laser seam welding process parameters." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/33155008350050138877.
Full text明新科技大學
精密機電工程研究所
100
This study analyzed variations of shear strength that depend on the fiber laser process during linear welding of AISI 316L stainless thin sheets. The experimental plan was based on a Taguchi orthogonal array table. A hybrid method that includes the response surface methodology (RSM) and back-propagation neural network (BPNN) is proposed to search for an optimal parameter setting of the linear welding process. In addition, an analysis of variance (ANOVA) was implemented to identify significant factors influencing the linear welding process parameters, which was also used to compare the results of BPNN with the RSM approach. The results show that the RSM and BPNN methods are both effective tools for the optimization of linear welding process parameters. A confirmation experiment was also conducted in order to validate the optimal welding process parameter values.
Tsai, Sheng_Lee, and 蔡勝禮. "The Parameters Optimization on the Laser Welding of Aluminum Alloy." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/11864267467498059232.
Full text國立交通大學
精密與自動化工程學程碩士班
92
There are several parts of thin metal plates should be welded together in the process of lithium battery manufacturing. These parts are very small and the traditional welding methods were unable to fully satisfy its requirements. Short time, automatic manufacturing and lower power consumption loss are the major characteristics of the pulsed laser welding machine, which is now widely used in many fields. This research studied the optimization of parameters on the laser spot welding of thin plated aluminum alloy’s electrode tab of the lithium battery. The Taguchi experimentation plan method was used to determine the effects of the range of parameters by weld pool depth-width ratio and tensile strength etc. Furthermore, ANOVA (analysis of variance) was utilized to find the quality characteristics of importance in the laser welding parameters build up to the optimum parameters on the laser spot welding. This will be a very important basis for the adjustment of parameters in pulsed laser welding. The material used in this research was thin plate of 3003 aluminum alloy with a thickness of 0.1mm and 0.5mm. The major welding parameters were pulse energy, pulse width, pulse frequency and focus. In this experiment, a 50 watt low power Nd:YAG pulsed laser machine was chosen to do spot welding. The results showed that if the welding parameter is different, the corresponding welding quality is different. For example: The change of the pulse energy factor has a major effect on the tensile strength of the weld pool. However, the pulse width and the pulse frequency have a little effect. Also, when the materials are changed or the dimensional parts are altered, the parameter needs to be readjusted. An interactive relationship between parameters was also found, this relationship; however, require long experimental testing time and valued experience. The method of parameter adjustment is very important. Therefore, it is necessary to build up an effective method plan of experiments to determine optimum parameters of laser welding for mass production.
Chen, Zhi-Wei, and 陳志瑋. "Study on optimization of fiber laser micro-spot welding process parameters." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/69671088638325831304.
Full text明新科技大學
精密機電工程研究所
100
This study is applied the experimental method to investigate the optimization of the fiber laser micro-spot welding process parameters. The laser power、processing time、pulse frequency and gas flow were selected for the fiber laser operation process. A preliminary study is used ANSYS results to obtain initial process conditions. The experimental plan was based on a Taguchi orthogonal array table. A hybrid method that includes the response surface methodology (RSM), and back-propagation neural network (BPNN) integrated simulated annealing algorithm (SAA) are proposed to search for an optimal parameter setting of the micro-spot welding process. In addition, an analysis of variance (ANOVA) was implemented to identify significant factors influencing for the micro-spot welding process parameters. The laser power and gas flow is the most significant factor. By regression analysis, a mathematical predictive model fiber laser micro-spot welding process parameters and the tensile strength of the response surface equation were developed in terms of the process parameter. The combining BPNN/SAA optimization method can be obtained for the appropriate combinations of the optimal mixture ratio setting. The result of BPNN integrating SAA was also predictive with BPNN approach. The BPNN prediction models yield smaller average error after training than regression models based on the RSM method. Final, micrographs also show that the appropriate setting of the laser power, befitting the penetration depth and welding of the fusion zone sections were produced.
Cun-Rong, Hong, and 洪村榮. "Optimization of Welding Parameters for Repair of Ni-based Superalloy Blades." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/29210009983119426612.
Full text國立彰化師範大學
機電工程學系
91
In this study, finite element method and Taguchi method are used to find the optimum parameters of the repair welding technology. In experimental study, the plasma arc welding is used to weld inconel 738LC base metal. These parameters are current, welding speed, preheating temperature and constraint. A finite element software called as MARC is used for numerical simulation. During numerical simulation process, the quasi-stationary couple thermo-elastic-plastic theory is assumed. The finite element method will be used to analyze the thermal and residual stresses during welding process. An experiment will be done after analyze for identification of numerical results. During welding, the thermal cycle of different locations in weldment will be recorded to compare the temperature field obtained by finite element method. The residual stresses are determined by using the hole-drilling strain-gage method of ASTM standard E837.The study results showed that the most effect factor is current, and the lest effect factor is preheating temperature by Taguchi method. The thermal stress which is more than 900 MPa result in hot crack. In the optimum parameters, the biggest longitudinal residual stress is 832MPa tension stress at the weldment, and the biggest longitudinal hot stress is 721MPa tension stress at the weldment. During repairing process in the Ni-base superalloy blade, the longitudinal thermal stress in the weldment is 680 MPa behind the arc 10 to 25 mm, and the transverse thermal stress in the weldment is 491MPa behind the arc 10 to 25mm.It is the compressive thermal stress where far from both sides of weldment. The higher welding speed, the preheat temperature and lower current result in lower thermal stress and residual stress.
Hsu, Da-Chung, and 徐大中. "Investigation on the Optimization Model Parameters basic on Nd:YAG Laser Welding Stainless Steel." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/89571390641380981203.
Full text國立屏東科技大學
機械工程系
92
The purpose of this study is to investigate the characteristics of tensile strength, fusion width and weld under-cut in laser welding AISI304 stainless steel by Nd:YAG, and construct an optimized model for multiple quality objectives. Research procedure can be divided into experimental work, and analysis for single and multiple quality objectives. Firstly, a orthogonal array of Taguchi method is used to arrange experimental work. The laser welding parameters selected include peak power, impulse width, impulse frequency, focusing point, gas pressure and welding speed. The welding qualities of tensile strength, fusion width and weld under-cut are measured then, the optimum laser welding parameters for the single objective of welding qualities can be found by using Taguchi method, respectively. Furthermore, combining these three welding qualities as the multiple objectives to find the optimum laser welding parameters can be conducted by incorporating Taguchi method and grey relational analysis. The results of analysis show that the tensile strength is 89% of the raw material, fusion width is 679 micrometer and weld under-cut is 63 micrometer in the single objective analysis by using Taguchi method, respectively. The tensile strength is 79% of the raw material, fusion width is 730 micrometer and weld under-cut is 49 micrometer in the multiple objective by using Taguchi method. Finally, after introducing grey relational analysis, it can be found that the tensile strength is 63% of the raw material, fusion width is 630 micrometer and weld under-cut is 351 micrometer in the orthogonal array. The tensile strength is 80% of the raw material, fusion width is 628 micrometer and weld under-cut is 23 micrometer out of the orthogonal array, respectively. It can be seen that the last model can obtain the optimum results. Obviously, these three optimized models are good enough for the relational research in laser welding and can be used for practical applications in related industry.
Yang, Chen, and 楊振. "The Parameter Optimization of Submerged Arc Welding for." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/43421270407299276856.
Full text國立台灣工業技術學院
機械工程技術研究所
85
The Tuguchi orthogonal array with the AIM network was used to find the parameter conforming the request quality for the reclamation of the steel mill rolls. The 420 stainless steel was applied as filler materials by submerged arc hardfacing. The result shows that there is a minimum wear rate when the slide speed was 2m/sec. The primary wear mechanism with the 2m/sec silde speed is oxidative wear. The primary wear mechanism with the speed over 2m/sec is abrasive wear. The polarization curves wear measured by potentiodynamic polarization. The result shows that the welding current during hardfacing was the major factor to improve the corrosion resistance for 420 stainless steel in 1N H2SO4 solution.
Ye, Jine-wei, and 葉建偉. "Optimizating Resistance Spot Welding Parameters for Dissimilar Metals Joints." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/umzbk3.
Full text國立虎尾科技大學
材料科學與綠色能源工程研究所
102
The main purpose of this study is use duplex stainless steel (SAF 2507) and nickel-base superalloys (Inconel 600) to find the optimizing the quality in DC power supply for resistance spot welding. the chrome zirconium copper alloy for the electrode tip material plane electrode, and shear strength as a quality spot welding pieces of property evaluation, in order to obtain the most efficient process of this good parameter values, this study Taguchi method (Taguchi Method), with the impact of the four factors that control the charging voltage、welding time、electrode force and electrode tip size to optimize the process parameters, and through variance analysis (ANOVA) to find out the degree of influence of each parameter on the manufacturing process. Experimental results show that the best combination of parameters is A1B3C1D1, the parameters are 300 V in charging voltage, 4 sec in welding time, 4 kg in electrode force and 4 mm in electrode tip size, this parameter has a higher average shear strength, and in the analysis of variance can be get the electrode head size factor greatest impact on the manufacturing process, the contribution value of 64.8%.
Feng, Chien-Cheng, and 馮建程. "The optimization of parameters for the Nd:YAG laser welding on the ferrite stainless steel 439." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/02882426903472763909.
Full text國立屏東科技大學
機械工程系所
99
This study is focused on the use of Nd: YAG laser for 439 ferrite stainless steel sheet in butt welding process, such that the effect of each laser welding parameter for the tensile strength and the weld hardness are investigated. Then two single and a multiple optimization models are established. An experimental work is associated with those optimization models in this study. Firstly, an orthogonal array of Taguchi method is used arrange experimental tests. The selected laser welding parameters are peak power, pulse frequency, pulse width and welding speed. Tensile strength and hardness of the weld parts are measured. The average and variance analysis of the Taguchi method are adopted in order to identify the most important laser welding parameter and the best combination of laser welding parameters. A gray relational analysis is used in order to find the optimized parameters combination in a multiple model. The results showed that in the single objective 99.2% in tensile strength can be obtained and 99.1% in weld metal hardness is achieved. In order to ensure accuracy of the analysis Taguchi method, associated with Gray relational analysis for the multiple objective to find the optimization parameters, has been performed and compared with the single objective model results. At the same time the trends for the relationship between hardness and tensile strength of the weld is developed. As a result, the related process can provide a more convenient mode of quality control inspection.
Huang, Tai-Hsun, and 黃泰勳. "Optimization of TIG-Flux Welding Process Parameters for Joining of Carbon Steel and Stainless Steel." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/24399960604993867568.
Full text國立交通大學
工學院碩士在職專班精密與自動化工程學程
94
The purpose of this study is to explore and discuss the optimization of TIG-Flux welding process parameter for joining of low-carbon steel SAE1020 and stainless steel AISI304. The mixed oxide powder of titanium dioxide (TiO2) and silicon dioxide (SiO2) was used as maximum efficiency flux during tungsten inert gas (TIG) welding process. In this study, the depth/width ratio of weld pool geometry is selected to be the quality characteristics. Taguchi methods is used to determine the optimal conditions of those factors effectively, such as the angle of tungsten electrode tip, welding current, travel speed of the welding torch and blending proportion of flux powder. From the results of Taguchi Methods experiment, the optimal welding parameters for joining of the SAE1020 carbon steel and the AISI304 austenitic stainless steel are (1) tungsten electrode tip angle of 60 degree; (2) welding current of 180Amp; (3) welding torch travel speed of 150 mm/min; and (4) mixed powder combination of 20% titanium dioxide and 80% silicon dioxide. Besides, from the results of analysis of variance (ANOVA), the orders of the importance on the depth/width ratio of weld pool geometry within the four control factors are (1) combination of mixed powder; (2) travel speed of welding torch; (3) welding current; and (4) angle of electrode tip.
Chang, Ya-Ting, and 張雅婷. "An Evolutionary Taguchi Experimental Method for the Optimization of Welding Parameters for Aluminum-Magnesium Alloy Materials." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/98008857782025702912.
Full text華梵大學
工業工程與經營資訊學系碩士班
96
Although aluminum-magnesium alloy materials possess many superior mechanical characteristics, the suitable range of their welding parameters is quite narrow such that the optimal parameter design becomes a challenge to relevant industries under time and cost restraints. Generally, it is very difficult to create a formula to determine the relationship between welding parameters and quality performance, which is usually learned from knowledge and experience of specialists. Thus, repetitive training and learning processes without effectiveness and efficiency are required in the conventional welding industry, especially, for the tasks beyond the knowledge and experience of the specialists. This research aims to develop an economic and effective experimental design method for handling design of experimental problems involving a large number of numerical parameters and levels. The proposed research method integrates genetic algorithm, artificial neural network and Design Of Experiment(DOE) techniques for comprehensively and objectively searching and evaluating potential parameter combinations. This method enables solving the DOE problem mentioned in the previous paragraph. The acquirement of the optimal welding parameter combination for magnesium-aluminum alloy materials can significantly improve the quality and efficiency of light industrial products. Developing an Evolutionary Taguchi Experimental Method can really assist to obtain the best parameter design combination and learn the relationship between the welding parameters and quality performance of magnesium-aluminum alloy materials. Furthermore, the learning result is useful for the creation of a parameter setting support system embedded in automatic welding equipments. The result from experiments not only can provide for the welding parameter design for magnesium-aluminum alloy materials, but also it shows that the proposed Neural Network-Genetic Algorithm perform better than the individual Taguchi’ Method. The final result from this research is really worthy to be referred by the researchers and relevant welding processes to promote research and product quality for future competition.
Wen-Jinn, Huang, and 黃文進. "Optimization of Plasma Arc Welding Parameters by Using the Taguchi Method with the Grey Relational Analysis." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/35233752535037852217.
Full text國立臺灣科技大學
機械工程系
92
The objective of this paper is to search the optimal plasma arc welding(PAW)process parameters by the Taguchi method with Grey relational analysis. First ,the Taguchi’s ortho- gonal array method which adapts to design an efficient experiment is used to plane the plasma arc welding experi- ment and welding parameters in layout to reduce the experi- ment times in this paper. In the meantime,the Grey relational grade is also used to find the optimal plasma arc welding parameters with the multiple response performance characteris- tics.The welding parameters (welding current,welding speed, plasma gas flow rate,and torch stand-off) are optimized with considerations of the multiple response performance charac-teristics(the penetration of root,the face width of weld pool, and the undercut of weld pool).As a result,the improve percentage of the Grey relational grade with the multiple per- formance characteristics is 35.4% .It is obviously increased from 0.645 to 0.874 after using the optimal welding parameters for PAW.Finally ,it is clearly shown that the multiple response performance characteristics are greatly improved through this study.
Wu, Cheng-Hung, and 吳政鴻. "Application of Taguchi Method for optimization of Process Parameters with Fiber Laser Welding on Stainless Steel Sheet." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/62px3a.
Full text國立高雄應用科技大學
機械工程系
105
ABSTRACT High-power fiber laser provides excellent beam performance, resulting in its weld- ing, cutting, marking, drilling and precision machining and other fine laser processing applications are difficult to compete. Optical fiber laser is lightweight, compact and have long life advantages, also it has small spot size with high energy density charac- teristics, which is very suitable for welding small parts. In this thesis, 200W fiber laser was used for stacking welding. Both 300 μm and 300 μm stainless steel sheets were used as test material. The L9 (34 ) orthogonal table experiment was combined with four control factors (pulse width, power , laser focus and N2 flow rate) with high、medium、 low levels to sort the experiment for the relationship between the factors and welding thrust. The combination of the optimization parameters during maximum welding thrust is obtained by the combination of the quality characteristics and the response table. The ANOVA analysis shows that the contribution of the main factors when the push force is the highest during pulse width is 51.76%, and laser power of 40.9%. The best com- bination of parameters is pulse width: 19000 μs, power: 170 Watt, The laser focus of 185 mm and N2 gas supply 100 LPM. Resulting with best average push force is 39.889 Keywords: fiber laser, laser welding, spot welding
Su, Ping-Hua, and 蘇炳華. "Friction Stir Spot Welding Parameters Optimization of Aluminum Alloy Sheets and Plated Steel Sheets Using Taguchi Method." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/49872882830302330268.
Full text國立高雄應用科技大學
機械與精密工程研究所
103
In this research, friction stir spot welding (FSSW) is applied to dissimilar metal join and also studies the influence of welding parameters for mechanical properties. The selection of welding parameters includes tool rotation, hold time of spot welding, tool plunge depth , then they are evaluated by using the results of tensile test. The L9 orthogonal table of Taguchi Method is used in this work. It predicts the optimal welding parameterswithanalyzing the S/N ratio and ANOVA;meanwhile, the neural networks and genetic algorithms also is applied to predict the optimization parameters of FSSW. Taguchi Method compares with neural networks using genetic algorithms and these results are different. The experimental results optimizedto obtain optimal parameters by neural networks with genetic algorithms are better than the optimal parameters of Taguchi Method.
廖桂毅. "The parameter optimization of laser welding for Ti-6Al-4V alloy." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/20435012170122175752.
Full text國立臺灣科技大學
機械工程系
89
The compromise programing with the AIM network was applied to find the optimal parameters of laser welding for Ti-6Al-4V alloy sheets in this study.Furthermore,the Taguchi methode was used to analyze the effects of laser welding parameters on the shape and contour of laser welds.The butt welds were made in titanium alloy sheets of 2.5 mm thickness by CO2 laser.The micro-hardness test,bending test,optical microscope and scanning electron microscope examination were used to evaluate the relationship between laser welding parameters and mechanical properties.The study concluded that no significant change in mechanical properties was found within the laser power ranges from 2.4KW to 3.0KW and welding speed ranges from 1400 mm/min to 2000 mm/min.The root openings of welds were the major welding parameter to affect the quality of welds.
LIN, KAO-LI, and 林高立. "Optimization Analysis of Welding Parameter for Duplex Stainless Steel with GTAW." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/g7443z.
Full text國立高雄應用科技大學
機械工程系
106
This dissertation presents the results of using the Taguchi method to search for optimal parameters for gas tungsten arc welding (GTAW) of S32205 duplex stainless steel. These findings help optimize the effectiveness of the welding process. Duplex stainless steel with a 30% to 70% balance of ferrite to austenite exhibits an excellent combination of high tensile strength, high toughness, and good corrosion resistance. In order to obtain a finished product after welding that still retains the base material properties of duplex stainless steel, the fishbone diagram method (one of the six quality assurance practices) is used to perform the initial selection of control factors and associated conditions as the basis for analysis and control of the welding experiment. In the experimental process, the L_9 (3^4) orthogonal table was used for parameter design. Four factors were used as control factors: welding wattage, welding speed, inert gas flow rate, and inert gas mixing ratio. Each factor was set to three levels, with GTAW performed on test pieces of duplex stainless steel. Each test piece was tested by a laboratory mechanical universal testing machine to obtain the tensile strength data, and a ferrite iron detector was used to obtain the percentage of ferrite iron. The data were imported into the Taguchi method to analyze the contribution of each factor. For tensile strength, the greater the strength the better. For ferrite grain ratio, the more normal the better. The optimized parameter combination was then tested and verified by welding test pieces. When the target function is achieved, we can incorporate the parameters into the welding procedure specification and use linear regression to obtain the best results. The parameters are converted into formulas to predict future welding information. When the company receives new orders in the future that require new welding procedures, the same process can be used to directly set the optimization parameters to complete the welding procedure verification in the shortest possible time. This eliminates trial and error lag time and improves overall work efficiency.
Cheng, Wang Shih, and 王士誠. "Research on the Optimization Parameters for CO2 Gas Shield Metal Arc Welding of AH32 High Tension Steel Plate." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/71059822186398724465.
Full text國立高雄應用科技大學
機械與精密工程研究所
101
The welding mechanical properties and strength as well as both the welding efficiency and quality are be affected by the welding parameters and base materials. Therefore, this thesis aims to investigate the optimal parameters for CO2 gas shield metal arc welding process of AH32 high tension steel plate. The welding current, the welding voltage, the welding speed, and the distance between the welding wire and the base material are the main factors affecting the welding tensile strength, which was considered as an objective function. In order to obtain the good strength, Taguchi method was used to find the best parameters combination. First of all, with the Taguchi method, an orthogonal array L9 was used to conduct welding parameter designs and nine experiments. Next, analysis of variance (ANOVA) employed to find the most significant parameter. Final, based on the optimized parameters, a tensile test was conducted to verify the welding strength. The results showed that the optimal parameters are the welding current, I, at level 2 of 210 A, the welding voltage, II, at level 2 of 30 V, the welding speed, III, at level 1 of 30 cm/min, and the distance between the welding wire and the base material, IV, at level 1 of 15 mm. Of these parameters, ANOVA results showed that the welding speed is the most significant parameter with contribution of 40.43 %. The results concluded that the optimized tensile strength is better than that of the previous experiments. Besides, the positions of the fracture zones are on the base material. It reveals that there are good welding penetration and fusion, i.e. no severe pores, cracks and defects such as slag and heat affected zone (HAZ), which less influence on the tensile strength. Therefore, the tensile strength was improved better and time-costing was also decreased effectively.
Kumar, K. "Studies On Friction Stir Welding Of Precipitation Hardenable Aluminium Alloys." Thesis, 2009. http://hdl.handle.net/2005/720.
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