Ansys is hoping to transform how industries such as aerospace and defence, biotech and automotive can manufacture metal parts thanks to its new solutions for metal additive manufacturing
Richard Childress Racing (RCR) is hoping to improve racing times through a multi-year partnership with ANSYS. RCR will use ANSYS Pervasive Engineering Simulation software to more accurately predict machine performance and enhance vehicle speed on the race track
Gemma Church explores applications at the forefront of HPC research
Robert Roe interviews Ansys’ Wim Slagter on the value of HPC technology within the CAE market
Intel Custom Foundry innovative new products thanks to the certification of ANSYS solutions for electromigration, power and electrostatic discharge reference flows for Intel 22nm FinFET low-power (22FFL) process technology
ANSYS, a provider of engineering simulation software, announced that it has acquired Computational Engineering International, the developer of a suite of products that helps engineers and scientists analyze, visualize and communicate simulation data
Simulation software provider Ansys has announced a partnership with electronic design automation (EDA) specialist, Synopsys, to integrate ANSYS’ power integrity and reliability signoff technologies with Synopsys’ physical implementation solution, part of its digital design platform
ANSYS and PTC have announced a solution that will enable ANSYS software to be added to applications built on the ThingWorx Industrial Internet of Things (IoT) platform developed by PTC.
Gemma Church learns that aerospace simulation is focused on fine-grain simulations to optimise component performance and meet strict regulatory requirements
This white paper provides an overview of cloud pricing models and a high-level description of how they could be applied to performing engineering simulation using ANSYS Enterprise Cloud, while optimizing your hardware spend on Amazon Web Services (AWS).
Building a Smart Laboratory 2018 highlights the importance of adopting smart laboratory technology, as well as pointing out the challenges and pitfalls of the process
Informatics experts share their experiences on the implementing new technologies and manging change in the modern laboratory
This chapter will consider the different classes of instruments and computerised instrument systems to be found in laboratories and the role they play in computerised experiments and sample processing – and the steady progress towards all-electronic laboratories.
This chapter considers how the smart laboratory contributes to the requirements of a knowledge eco-system, and the practical consequences of joined-up science. Knowledge management describes the processes that bring people and information together to address the acquisition, processing, storage, use, and re-use of knowledge to develop understanding and to create value
This chapter takes the theme of knowledge management beyond document handling into the analysis and mining of data. Technology by itself is not enough – laboratory staff need to understand the output from the data analysis tools – and so data analytics must be considered holistically, starting with the design of the experiment