SIMULIA リソース・センター

UNIVERSITY COLLEGE LONDON LIFE SCIENCES

Tech Notes

Correct hot forming design relies on accurate prediction of forming loads, material deformation, and material properties. This is particularly true for coupled thermomechanical analyses, where die/workpiece contact will change local deformations and temperatures. These strains and thermal histories can change the material microstructures and resulting product properties. This presentation examines the influence of different material and contact models within a hot forging simulation and discusses the consequences on ultimate product performance. We use rate-independent plasticity and compare the results with the Anand internal variable, viscoplastic model available within Abaqus. We also use different contact conditions with varying pressure sensitivity for heat transfer. The simulations demonstrate that constitutive model selection has a strong effect on the final predicted properties of the forging.

Customer Papers

Over the past decade, hydraulic fracturing has become an industry-changing technology that enables commercial production of hydrocarbons from previously non-productive lowpermeability shale formations. R&D efforts focus on the development of economically efficient production protocols, where the selection of engineering solutions is guided by numerical simulations. Typically, the simulations are based on phenomenological fracture models that are adapted for the prediction of fluid-driven fracture processes at depth. These models rely on a longterm trial-and-error approach and offer reliable material response at conditions that have previously been experimentally investigated. For this reason, an extrapolation of such phenomenological models into untested regimes is not always successful.

Customer Papers

The current work pertains to a re-closeable annular flow valve oil completion tool (XAFV) with high gas flow passing through the valve, causing pressure oscillation due to flow separation and high turbulence energy. The objective is to assess the vibration level to protect the tool from damage. The first step was to perform CFD simulation by using Fluent on The valve port region. The power spectral density (PSD) of pressure fluctuations at the high turbulence region was obtained. The next step of the work was to extract natural frequencies of the tool by using Abaqus. The last step was to utilize random vibration analysis (RVA) to obtain the PSD and root mean square of stresses to assess the random vibration effect by using CFD predicted PSD of excitation pressure.

Customer Papers

PLASTIC TECHNOLOGIES, INC. CONSUMER PACKEGED GOODS

Customer Stories

An analytical process was developed to study the root cause of the exhaust valve guide wear in the gasoline engine from a high mileage accumulation vehicle test. A thermo-structural model was created to determine maximum cam bore misalignment based on engine thermal structural analysis. Then a valve train dynamic model was developed as a submodel based on cylinder head thermal deformation, the cam axis was adjusted based on the maximum cam bore misalignment in this dynamic model and valve tip side load from cam and rocker arm was calculated. Normal and reversed spin of cam was performed to study its effect on rocker motion between left and right bank cylinder heads. Valve and guide contact was monitored during the dynamic analysis and the resulting valve and guide deformation from this dynamic analysis was input to a tribology model to calculate the guide wear rate. Abaqus/Standard was used in thermo-structural analysis, and Abaqus/Explicit was used for valve train dynamic analysis. Based on this study, the root cause of the guide wear was verified.

Customer Papers

Simulation of the manufacture of composite materials, commonly known as composites process modelling, has been gaining acceptance in industry since the mid-1990s. Starting from the early simple 1D and 2D representations of composite parts, process modelling of complex, fully configured 3D composite parts is now performed on a regular basis. Until recently, creating and running such simulations has required a high level of expertise not only in the manufacture of composite materials, but also in 3D finite element analysis.

Customer Papers

The increasing frequency in the use of Engineering Criticality Assessments (ECA) to determine weld quality in the installation of offshore pipelines and risers has put an increased focus on the importance of accurate predictions in dynamic stresses during installation and service. Over-predictions impose constrains to the installation campaign with high cost and safety implications. The response predictions of a pipe profile suspended from a vessel in random sea state with environmental loading and interaction with the seabed is a complex nonlinear problem. From a dynamic structural in place perspective the pipe catenary presents a near continuous spectrum of frequencies and modes of vibration. This has important dynamic numerical and structural relevance, implying excellent resonance transmissibility for any input forcing oscillation frequency.

Customer Papers

Pretensioned concrete crossties are increasingly employed in railroad heavy haul and high speed lines. The bond between steel reinforcements and concrete affects several important performance measures of concrete ties, and bond modeling is a critical component in the analysis of concrete tie behavior using the finite element (FE) method. This paper summarizes the bond models developed at the Volpe Center for pretensioned concrete crossties and their implementation as user materials for cohesive elements in Abaqus. The bond models are macroscale or phenomenological and developed within the elasto-plastic framework. The steel reinforcement-concrete interface is homogenized and represented with a thin layer of cohesive elements sandwiched between steel and concrete elements.

Customer Papers

MUNICH UNIVERSITY OF APPLIED SCIENCES LIFE SCIENCES

Tech Notes

This paper presents several FEA models used to analyze different modes of casing deformation including casing collapse, buckling and shear. Analysis examples are presented to demonstrate the use of the FEA models together with available caliper survey data in investigating the loading conditions and mechanisms responsible for causing such casing deformations in a number of actual wells.

Customer Papers

Energy consumption in the world is increasing. The growth in consumption is expected to be strongly driven by China, India and other non-OECD countries. Most of this consumption will be related to oil and gas, mainly for transportation and electricity. Oil and gas also are primary raw materials for a wide range of products including plastics and chemicals, and their usage is also increasing fast. This increase in the demand for oil and gas needs to be satisfied reliably and sustainably. How can we ensure that this happens?

White Papers

In celebration of International Women’s Day 2023 we’re kicking off a new blog series, Women In Technology. Learn more about Lori Bonynge and her inspiring story!

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Simulation can help design quieter and more efficient fans for HVAC, ensuring healthy and comfortable indoor environmental quality.

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This article shows how the simulation of the DCDC converter with CST Studio Suite can be used to predict the electromagnetic compatibility (EMC) performance. By considering the spread spectrum clock generation and an EMI receiver in the simulation, more realistic results can be achieved.

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Most industrial scale problems need large HPC (high-performance computing) clusters to tackle their biggest problems. These competing demands have inspired the development of PowerFLOW GPU (graphics processing unit) solver.

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There is another application for 5G which analysts expect will grow to become a major market by the 2030s: private 5G networks for the Industrial Internet of Things (IIoT).

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SIMULIA’s newly released PowerDELTA 6-2022 enables automation through Operations Templates and Precise wrap.

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SIMULIA is proud to announce the 2023 group of SIMULIA Champions! The SIMULIA Champions is a selected group of our most passionate and talented users who work every day to share their expertise on simulation. We’re already in the fourth year of recognizing our new class of experts and influencers and are delighted to call over 100 individuals SIMULIA Champions!

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At the EuroCentral Regional User Meeting, we spoke to Benoît Cousin, an engineer at Swiss startup firm ECCUS, which is focused on underground storage and production solutions, to find out why simulation is so important in his line of work.

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Did you miss any of our Tech Talks from 2022? Check out the most popular talks from last year by discipline.

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Industry Analysts are predicting that vehicle miles traveled globally will double to 20 trillion miles by 2030. Advanced methods for Cleat Impact will enable tire manufacturers to comply with increasing regulations.

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The Lenovo circular economy approach helps you be environmentally and socially responsible, as well as maximize the recoverable value for all your technology assets. In addition, you get outstanding performance and scale by running the SIMULIA portfolio and other complementary AI/ML applications on Lenovo HPC systems with 3rd generation Intel Xeon Scalable Processors.

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Discover the new capabilities of PowerFLOW 2022, including alignment with and seamless transition from CAD product design on the 3DEXPERIENCE platform, rapid meshing of highly complex geometry, the first PowerFLOW GPU Solver, and more!

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