Which are the most investigated fusion welding process by simulation?
Best insight from top research papers
The most investigated fusion welding processes by simulation are laser beam welding (LBW) and tungsten inert gas (TIG) welding. LBW offers advantages in joining titanium alloys, while TIG welding is crucial for developing fusion reactor components. Simulation plays a vital role in understanding and optimizing these processes. LBW simulations successfully explain microstructural changes due to varied welding speeds and powers, leading to optimal parameter determination. On the other hand, TIG welding simulations focus on process parameter selection and optimization to ensure quality weld output, temperature distribution, residual stresses, and weld distortion control. Both processes benefit from simulation techniques to enhance understanding, efficiency, and quality in welding applications.
Answers from top 5 papers
More filters
| Papers (5) | Insight |
|---|---|
01 Jan 2020 | Finite Element Methods (FEM) in fusion welding processes are extensively studied for simulation, focusing on reducing residual stress and structural distortion, enhancing accuracy compared to experiments. |
| Metal active gas welding is the most investigated fusion welding process by simulation in the research, utilizing a three-dimensional heat transfer model for virtual testing and manufacturing optimization. | |
| The most investigated fusion welding process by simulation in the paper is the use of remote ultrasound vibration to induce cavitation in the molten pool during welding. | |
| TIG welding process is the most investigated fusion welding process by simulation in the research, focusing on parameters selection, output quality, temperature distribution, residual stresses, and weld distortion. | |
29 Citations | Laser beam welding is the most investigated fusion welding process by simulation in the study on TA15 titanium alloy, optimizing parameters for microstructure control in welded joints. |
Related Questions
What modeling approaches are being used to simulate metal casting and forging processes?5 answersVarious modeling approaches are employed to simulate metal casting and forging processes. These include the use of mathematical models considering material deformation, friction, and heat dissipation in casting and forging modules. Additionally, the finite element method and software like DEFORM are utilized for predicting plastic metal flow in forging operations, considering parameters such as material characteristics, preform and die design, and die material. Furthermore, coupled thermomechanical computational modeling is applied to simulate metal casting processes, incorporating thermodynamically consistent constitutive material models, thermomechanical contact models, and fractional step methods for solving the coupled problem using a staggered scheme. These diverse approaches aim to enhance the efficiency, accuracy, and robustness of simulations in the metal casting and forging industry.
What are the existing literature on process modeling and simulation in manufacturing?5 answersExisting literature on process modeling and simulation in manufacturing encompasses various themes and approaches. Studies have focused on utilizing modeling and simulation tools to enhance manufacturing efficiency, productivity, and quality. Additionally, research has delved into creating discrete simulation models for furniture manufacturing processes, leading to improved production line efficiency. Process flexibility within manufacturing systems has been extensively studied as a solution to meet fluctuating demands, with a systematic review identifying four key research themes for further exploration. Furthermore, simulation tools have been applied to optimize process flows, predict outcomes, and increase throughput in production planning. These diverse studies highlight the importance of process modeling and simulation in addressing challenges and improving performance within the manufacturing industry.
What are the Effect of Parameters on penetration and fusion of of Shielded Arc Metal Welding?4 answersThe penetration and fusion depth in Shielded Metal Arc Welding (SMAW) are significantly influenced by various parameters. Welding current, welding speed, and electrode angle play crucial roles in determining the quality of weld joints. Different electrode angles, such as 70°, 75°, 80°, 85°, and 90°, affect the width and depth of penetration in SMAW. Additionally, the welding speed, electrode angle, and electrode diameter impact the bead width and penetration, with an inverse relationship between welding speed and these parameters observed. Optimum values for welding current, electrode angle, and travel speed have been identified to enhance weld bead geometry and root face quality. These findings highlight the importance of parameter optimization in achieving desired penetration and fusion levels in Shielded Metal Arc Welding processes.
How does the choice of welding method affect the overall embodied energy consumption in the production process?5 answersThe choice of welding method significantly impacts the overall embodied energy consumption in the production process. Different welding processes, such as friction stir welding (FSW) and gas metal arc welding (GMAW), exhibit varying energy consumption levels. FSW has been shown to consume 42% less energy compared to GMAW for similar joint strength requirements, leading to a reduction in greenhouse gas emissions by approximately 31%. Additionally, the energy consumption in welding is influenced by process parameters like current, voltage, and welding speed. It is crucial to consider the entire process chain, including pre- and post-processes, to optimize energy efficiency in manufacturing. By selecting greener welding methods and optimizing process parameters, manufacturers can reduce energy consumption and enhance sustainability in production processes.
What are the factors that affect the fusion of ash?5 answersThe fusion of ash is influenced by several factors. The presence of impurities, such as iron, in coal can affect the ash fusion properties. The composition of the biomass fuel, including the presence of fusible matters like KCl and K2SO4, can also impact ash fusion during combustion. Additionally, the type of coal and the addition of other materials, such as peanut hull ash or textile dyeing sludge, can alter the initial sintering and fusion temperatures of the ash. The formation of specific minerals, such as anorthite, adularia, hercynite, and albite, can contribute to the fusion behavior of the ash. The presence of certain elements, such as silicon, magnesium, calcium, sodium, and potassium, can also affect the melting point and reactivity of the ash.
What are the main challenges in the fused position modeling process?5 answersThe main challenges in the fused deposition modeling (FDM) process include material-specific parameters, operation-specific parameters, and machine-specific parameters. Material-specific parameters encompass the physicochemical properties of the filament, such as thermal, mechanical, and rheological properties, which determine the feasibility of the printing process. Operation-specific parameters relate to the processing conditions of printing, such as printing temperature and infill density, which have an influence on the final quality and dissolution behavior of the objects. Machine-specific parameters refer to the printer equipment and its modifications, which can enhance the performance of the printing process. Additionally, FDM faces challenges in terms of poor resolution, which hinders the production of functional parts for commercial use. The challenges in FDM 3D printing of thermoplastic elastomeric materials include limited compatible printable materials, difficulties in printability of soft materials, defects in printed parts, and poor mechanical properties.