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LANIKA SOLUTIONS
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Design of Experiments DoE

IAV use DoE methods to reduce the work involved in calibrating combustion engines

At IAV, the Design of Experiments (DoE) method is normally used to provide the basic calibration for combustion-engine control units. Just a few measured values provide the basis for creating a statistical model that predicts the effect the controlled variables have on the output variables. This model can be a polynomial, a neural network or any other approximator. With further measurement data, the model’s quality can be assessed and improved.

By applying the DoE process in balancing maps with several degrees of freedom, we can significantly shorten the time taken to calibrate combustion engines. Using the statistical models we obtain, we can optimize emissions, consumption and other parameters offline at the desk while taking account of trade-off limits. Combined with test-bench control, the method can be used in automatic mode.

Learn More → https://lnkd.in/gcfsHhq
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IAV Kasai

IAV Kasai (formerly EasyDoE) is a software tool for workflow-guided engine calibration using the DoE (Design of Experiments) method.

IAV Kasai software makes it possible for any test engineer to use the DoE method unassisted. A workflow with intuitive graphic user interface guides the user through the task in hand. This begins by defining the test parameters and choosing the target measured variables. A test plan is then generated using mathematic algorithms. This guarantees to achieve the result with an optimum number of tests while saving time. Proceeding from the data measured, the software generates mathematical models as the basis for defining optimum calibration. For this purpose, IAV Kasai provides the user with various graphic evaluations as well as the use of several optimization tools that allow optimum calibration to be found automatically.

Learn More → https://lnkd.in/fFyGZtg
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Modeling Failure in Fiber-Reinforced Composite Tubes Using Multiscale Technology - White paper

In a wide variety of industries, unidirectional fiber reinforced composites are being utilized for high pressure containers and tubes, in which the high axial strength fibers can bear most of the hoop stress. For a thermoplastic unidirectional carbon fiber composite tube, this paper demonstrates how to use numerical simulation to account for such microstructural mechanisms and process-induced variation to more reliably predict the burst pressure and localized stresses within the composite.

Simulations were performed using the finite element package MultiMech, a fully coupled two-way multiscale finite element solver capable of predicting global structural failure based on microstructural design variables.

Download White Paper → https://lnkd.in/fpQ5rnK
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MultiMech for Abaqus
Intuitive TRUE Multiscale FE analyses within Abaqus

MultiMech 18.0 contains a native Abaqus integration that enables engineers to easily perform complex material analyses in order to enhance their structural analysis. The tool is embedded directly into the Abaqus interface and is designed to fit into a user's current workflow, allowing users to zoom into their material microstructure and understand how structural performance is influenced at the material level. MultiMech 18.0 for Abaqus requires very little training to use, giving engineers the ability to easily convert their models to multiscale and get more accurate results.

Download the Webinar → https://lnkd.in/fSfyDzZ
MultiMech 18.0 for Abaqus Webinar
MultiMech 18.0 for Abaqus Webinar
info.multimechanics.com
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MultiMech for ANSYS
Intuitive TRUE Multiscale FE analyses within ANSYS/Workbench

The ability to predict damage at the material microstructure level is now available to ANSYS Workbench users.

ANSYS and MultiMechanics are excited to present the MultiMech for ANSYS platform, a powerful plugin that empowers engineers to create detailed, accurate microstructural models directly within Workbench. Using MultiMech for ANSYS, engineers can zoom into their material's microstructure to analyze damage and better predict how their material will predict part performance.
During this on-demand webinar, we present:
1. Generation of a microstructure within ANSYS Mechanical, including creating a new material model and editing/importing an existing one
2. An example of a homogenized multiscale simulation (linear)
3. An example of a fully coupled multiscale simulation (nonlinear)
4. Importation of fiber orientation data
5. Selection of elements before the simulation to output the structural results
6. Final results showing any damage within the microstructure

Download the Webinar → https://lnkd.in/fBgbWwA
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Virtual Testing Software for the World’s Most Advanced Materials

MultiMech is a multiscale finite element software platform that helps companies virtually predict failure in advanced materials at an unprecedented level of speed and accuracy.

Our TRUE Multiscale technology, embedded within MultiMech, extends the flexibility and robustness of Finite Element modeling down to the microstructural level, strongly coupling the macro and micromechanical response and integrating materials engineering to part design.

Learn More → https://lnkd.in/ft2bxTy
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Amira-Avizo for Digital Volume Correlation
3D internal displacement and strain measurements

Linking the microstructure to the mechanical behavior is critical to the design of high-performance components for industry. 3D imaging techniques such as lab/synchrotron X-ray tomography, optical tomography (OCT, OST), and MRI allow researchers to perform in situ experiments with high spatial (down to the micron scale) and temporal resolution (within seconds). These techniques are particularly suitable for capturing complex and very short-lived phenomena such as localization induced by heterogeneities, thermal mismatch between constituents, micro-cracking, fatigue behavior, and phase transitions. Digital Volume Correlation (DVC) exploits the natural texture of materials and has recently emerged as a powerful contactless, bulk strain measurement technique in experimental mechanics, materials science, and biomechanics.

Learn More → https://lnkd.in/eyGyhqi
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Amira for Advanced Image Processing and Quantification
3D visualization & analysis software

The XImagePAQ extension for Thermo Scientific™ Amira Software provides a large variety of advanced image processing and quantification tools. These tools enable the user to perform image enhancement operations, create simplified and automated segmentation workflows, and perform extensive measurement and quantification tasks on objects in the image such as cells, bones, and other tissue features.

Learn More → https://lnkd.in/fXz4uHU
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Amira for Preclinical Imaging
3D/4D+ visualization and analysis software

Preclinical image analysis relies on augmenting structural information from micro-CT or MRI systems with functional data from PET, SPECT or optical imaging instrumentation. Analysis of novel drug candidates requires pinpointing the location of dynamic processes acquired with functional modalities in images of the animal’s anatomy from structural modalities over time.

Thermo Scientific™ Amira™ Software* enables the fusion of any type of preclinical image data. Co-registered images can be segmented and analyzed using Amira Software’s vast library of image analysis filters and algorithms. Image segmentation and quantification workflows can be applied to entire time series of image data of dynamic processes. With Amira Software’s professional-grade visualization tools, structural information from CT and MRI can be augmented and rendered jointly with segmentation results and functional images to create visualization of physiological processes that reveal the underlying mechanisms in an intuitive animation.

Learn More → www.lanikasolutions.com/solutions/amira-preclinical-imaging/
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Amira for Cell Biology
3D/4D+ visualization and analysis software

Understanding living cells and their processes requires analysis of data from various imaging systems and modalities that all use different file formats. Each experimental setup can represent a unique challenge to process the data. Multi-scale dynamic processes require tracking of various sized objects, from diffraction-limited particles to entire cells. There can be a few dozen to tens of thousands objects in each data set. In addition, intracellular processes are supported by sub-cellular structures that also need to be identified and quantified.

Thermo Scientific™ Amira™ Software* provides a comprehensive array of tools for the flexible and accurate analysis of time series data of cellular processes. It enables researchers to perform dedicated segmentation workflows on their intra- and intercellular images and apply powerful automated object tracking solution.

Learn More → https://lnkd.in/fJzaPgr
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