Finite Element Simulation of Brazing

FEA & CFD Based Simulation Design Analysis Virtual prototyping MultiObjective Optimization

Brazing is a thermal joining process which connects metal components with melted filler material. The filler usually has lower melting point compared to components. Main advantages of brazing lies in relatively low heat input and the capability to create a joint of considerable strength and durability.

Simufact Gr Welding HUB 09877b40

Enteknograte engineers simulate the Welding with innovative CAE and virtual prototyping available in the non-linear structural codes LS-DYNA, Ansys, Comsol, Simufact Welding and ABAQUS. We are experienced with FEA Welding simulation.

Enteknograte Engineers can simulate any type of welding such as Arc Welding, laser Beam Welding, RSW, FSW and transfer the results of welding simulation for next simulation like NVH, Crash test, Tension, Compression, shear test and fatigue simulation.

Brazing Simulation Finite element FEA Ansys Abaqus Simufact ESI sysweld

Welding cause to The components, commonly made of steel(s), are temporarily heated to specific temperatures Distribution. Taking into account the rate of heating and cooling, the material properties of a component can be altered and improved. The presence of certain agents can lead to changes in the carbon or nitrogen content of the component. In all welding processes, there are several decisive and important factors: Time (heating and holding time), temperature, atmosphere, and quenching or cooling conditions. In principle, there are two kinds of welding effect as heat treatment processes on material points:

  • processes resulting in a thorough change of the microstructure such as annealing and hardening

  • processes that result in merely changing regions close to the surface of the component such as diffusion and coating processes, carburization, case hardening, nitrating, boriding

Enteknograte Engineers simulate any type of welding with any level of complexity:

Arc Welding
• Electron Beam Welding
• Laser Beam Welding
• RSW (Resistance Spot Welding)
• FSW (Friction Stir Welding)
• Pressure Welding
• Stress Relief Heat Treatment
Fatigue Life of Welded Structures
NVH, Crash test, Tension, Compression and shear test behavior of Welded Structures

Why we use Simufact as default for welding simulation

Simufact Welding predicts distortions and residual stresses by virtually try-outs and helps the user to determine appropriate strategies to minimize them. It is the only simulation software which automatically considers the complex contact situation between the components, which in turn allows conclusions about the properties of the weld seam, in particular its strength, to be drawn. Simufact Welding achieves this by calculating the microstructural properties within the heat-affected zone, which also gives the user a valuable insight into identifying welding defects, such as hot cracks in the simulation, and how to avoid them in practice.



Resistance Spot Welding: Finite Element Simulation of RSW

Resistance Spot Welding is a pressure welding process during which the sheets are pressed together locally with the help of fitted copper electrode welding guns. The electrical current between the weld guns causes a heating and melting of the joining partners, creating a small circular welded area between them.The standard approach in a RSW model contains fully coupled electrical, thermal, metallurgical and mechanical steps, so the heat generation is calculated due to Joule’s heating coming from electrical current and resistivity between components.

Finite Element Simulation of Arc Welding

Arc welding processes (SMAW, GMAW [MIG], GTAW [TIG], SAW, …) are of the highest economic importance due to their flexible application and relatively low equipment costs for both robotic and/ or manually controlled joining. Due to a high melting rate and a high gap-bridging ability these processes are found most notably, in steel plants, power stations and shipbuilding.

Pressure Welding FEA Simulation: Friction welding, Resistance welding, Friction spot welding

Pressure welding is a group of diffrent joining processes which have all in common that the components are joined by applying heat and pressure. The heat can either be generated by an electrical current flow (resistance welding) or by friction (friction welding).

Finite Element Simulation of Brazing

Brazing is a thermal joining process which connects metal components with melted filler material. The filler usually has lower melting point compared to components. Main advantages of brazing lies in relatively low heat input and the capability to create a joint of considerable strength and durability.

Fatigue Analysis of Welded Structures

Enteknograte use advanced Numerical simulation software and methods to simulate the welding behavior in real service load condition and estimate its Durability and Fatigue Life with Ansys Ncode, Simulia FE-Safe, MSC CAEFatigue and FEMFAT. The Seam Weld and Spot Weld fatigue simulation enables the fatigue analysis of joints including different type of welding such as fillet, overlap, spot welds in thin sheets and laser welded joints.

Finite Element Simulation of Laser Beam / Electron Beam Welding

Laser Beam welding is a thermal joining process, in which a component is heated and welded by a laser beam. It is a high-end process for application cases requiring the highest degree of precision. A huge advantage of laser beam welding lies in the relatively narrow heat affected zone. Electron Beam welding is a thermal joining process, in which a component is heated and welded by electron beam.

Vibration Fatigue Finite Element Simulation: Time & Frequency Domain

Structural vibration can be a source for many product related problems; it can cause fatigue and durability problems as well as adverse reactions to the user or bystanders in the form of undesirable vibrations that can be felt or heard. As well, undesired structural vibrations can prevent products from operating as required and potentially becoming a safety concern. The Vibration Fatigue simulation predict fatigue in the frequency domain and it is more realistic and efficient than time-domain analysis for many applications with random loading such as wind and wave loads.

Heat Transfer and Thermal Analysis: Fluid-Structure Interaction with Coupled CFD and Finite Element Based Simulation

We analyze system-level thermal management of vehicle component, including underhood, underbody and brake systems, and design for heat shields, electronics cooling, HVAC, hybrid systems and human thermal comfort. Our Finite Element (LS-Dyna, Ansys, Abaqus) and CFD simulation (Siemens Start-ccm+, Ansys Fluent , Ansys CFX and OpenFoam) for heat transfer analysis, thermal management, and virtual test process can save time and money in the design and development process, while also improving the thermal comfort and overall quality of the final product.

Metal Forming Simulation

Sheet Metal Forming, Hot Forging, Cold Forming, Open Die Forging, Roll Forming, Extrusion and Heat Treatment with Ansys, Abaqus, LS-Dyna and Simufact
Using advanced Metal Forming Simulation methodology and FEA tools such as Ansys, Simufact Forming, Autoform, FTI Forming, Ls-dyna and Abaqus for any bulk material forming deformation, combining with experience and development have made Enteknograte the most reliable consultant partner for large material deformation simulation. Metal Forming Simulation include Springback Compensation, Surface Defects, Cost Estimation and Phase Transformation in Sheet Metal, Hot Forge, Rolling, Extrusion, Open Die Forging and Heat Treatment Finite Element Analysis.

Finite Element Simulation of Heat Treatment

In principle, there are two kinds of heat treatment processes: processes resulting in a thorough change of the microstructure and processes that result in merely changing regions close to the surface of the component. Examples of the former would be thermal processes, such as annealing and hardening. Examples of the latter, thermochemical processes, would be diffusion and coating processes, such as carburization, case hardening, nitrating, boriding.

Additive Manufacturing and 3D Printing

FEA Based Design and Optimization with Simufact, Abaqus, ANSYS and MSC Apex for powder bed fusion (PBF), directed energy deposition (DED) and binder jetting processes
With additive manufacturing, the design is not constrained by traditional manufacturing requirements and specific number of design parameters. Nonparametric optimization with new technologies such as Artificial Intelligence in coupled with Finite Element method, can be used to produce functional designs with the least amount of material. Additive manufacturing simulations are key in assessing a finished part’s quality. Here at Eneteknograte, dependent of the problem detail, we use advanced tools such as MSC Apex Generative Design, Simufact Additive, Digimat, Abaqus and Ansys.

Integrated Artificial Intelligence (AI) & Machine Learning - Deep Learning with CFD & FEA Simulation

Machine learning is a method of data analysis that automates analytical model building. It is a branch of Artificial Intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. With Artificial Intelligence (AI) applications in CAE, that is Mechanical Engineering and FEA and CFD Simulations as design tools, our CAE engineers evaluate the possible changes (and limits) coming from Machine learning, whether Deep Learning (DL), or Support vector machine (SVM) or even Genetic algorithms to specify definitive influence in some optimization problems and the solution of complex systems.

Finite Element Simulation of Crash Test and Crashworthiness with LS-Dyna, Abaqus and PAM-CRASH

Crashworthiness focuses on occupant protection to reduce the number of fatal and serious injuries. This research is responsible for developing and upgrading test procedures for evaluating motor vehicle safety. Crashworthiness research encompasses new and improved vehicle design, safety countermeasures and equipment to enhance occupant safety. Finite Element Analysis (FEA) has been the trend in virtual crash design over the last decade. The predictive capabilities of FEA allow engineers to fully understand a crash event in a virtual environment, thus limiting the number of physical tests that need to be executed and thus saving costs.

Acoustics and Vibration Simulation

AeroAcoustics, VibroAcoustics and NVH Analysis in Automotive, Aerospace, Shipbuilding and Consumer Product Manufacturers.
The need to reduce noise and vibration can arise because of government legislation, new lightweight constructions, use of lower cost materials, fatigue failure or increased competitive pressure. With deep knowledge in FEA, CFD and Acoustic simulation, advanced Acoustic solvers and numerical methods used by Enteknograte engineers to solve acoustics, vibro-acoustics, and aero-acoustics problems in automotive manufacturers and suppliers, aerospace companies, shipbuilding industries and consumer product manufacturers.