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A metallurgical phase transformation framework applied to SLM additive manufacturing processes

While significant progress has been made in the last few years, the reliability of Additively Manufactured (AM) parts is often less than desirable as they suffer from manufacturing defects and hence subpar strength and fatigue life. To address this challenge, numerical methods are sought to provide insight into the process and help accelerate progress in raising the quality of AM parts. In metal AM applications, assessing the amount of unfused powder, melt pool volumes, and metallurgical phase transformations is often of interest. In this work, we introduce a generic framework for assessing metallurgical phase transformations, building on a previously-developed general simulation framework for predicting temperature evolution, distortions, and residual stresses.

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A metallurgical phase transformation framework applied to SLM additive manufacturing processes
Dassault Systèmes SIMULIA Analyst Event 2018: New Highlights in Simulating Product, Nature and Life

CIMdata recently attended the Dassault Systèmes SIMULIA brand 2018 analyst event at its campus in Johnston, RI. As SIMULIA executives pointed out, with this dedicated event focusing on simulation, Dassault Systèmes continues to demonstrate its commitment towards simulation as a foundational element in achieving its overall vision to “imagine sustainable innovation capable of harmonizing product, nature and life.” By focusing on providing a broad range of industry solutions based on the 3DEXPERIENCE platform, Dassault Systèmes is utilizing the power of its brands more effectively. SIMULIA’s journey to improve and expand its simulation capabilities has been supported through organic research and development and continues with their 2017 acquisition of Exa Corporation to further improve the coverage in bringing multiscale together with multiphysics and science as show in Figure 1.

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Dassault Systèmes SIMULIA Analyst Event 2018: New Highlights in Simulating Product, Nature and Life
DRIVING INTO THE SUNSET: EV PASSENGERS SHOULD NOT HAVE TO CHOOSE BETWEEN COMFORT AND RANGE

Regulating cabin temperature in EVs often depletes its energy sources. Climate control is the second main source of battery range reduction, with up to 50% lost to the cabin climate control in extreme weather conditions. How do automakers continue to provide the best cabin experience while still making sure the vehicle gets to its destination? Simulation solutions from Dassault Systèmes provide an easy-to-use interface and state-ofthe-art solver technologies for fast and accurate results, ensuring optimized cabin climates for driver comfort while preserving energy consumption.

Tech Notes

DRIVING INTO THE SUNSET: EV PASSENGERS SHOULD NOT HAVE TO CHOOSE BETWEEN COMFORT AND RANGE
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