The construction industry is facing several challenges and drivers: access to qualified labour, rising material cost and margin squeeze are just a few.
Through the power of modelling and simulation, we can now significantly reduce the expense and time spent on developing and testing new drugs and medical devices.
High-tech is part of our daily lives, so much so that we take it for granted. We use mobile phones that are more powerful than the technology used to land a man on the Moon.
As every machine becomes connected to collect and transmit data, it’s important to know how to turn this opportunity into real value for your company and your customers.
We craft ships, a complex combination of technological systems, which must safely operate in a very hostile environment, keeping their precious cargo of people or goods safe.
Today, simulation software enables companies to optimize electric and hybrid vehicles, ADAS systems, and self-driving cars by exploring uncharted territories.
With Ansys Battery Simulation, you can achieve better performance, longer battery life, and reduced costs while accelerating the product development process.
One of the key applications of Fluent is in the field of combustion modelling, where it is used to model and optimize the combustion processes in various industries.
Heat exchangers have been used for many years in different applications. Typically we find them in HVAC, refrigeration, power generation, and chemical processing.
The mixing process is an integral component of the process industry, with a wide range of applications utilized to create tailored products that meet the diverse needs of various industries and customers.
Ansys Rotating Machinery application provides advanced software that assists in the design of various types of rotating machinery equipment and enables rapid iteration and improvement of designs.
The energy landscape of our world is currently undergoing a major transformation, towards more sustainable and environmentally-friendly energy sources.
With Neural Concept, design and verification workflow can be improved at least 2-10 times by training a Neural Network with existing data for designs and simulations.
Computational Fluid Dynamics (CFD) simulation products are for engineers who needs to make better and faster decisions and can help reducing the development time and efforts while improving your product’s performance and safety.
Materials information is crucial in engineering and manufacturing as it enables informed decisions. In simulation and modeling, precise materials data is needed to accurately predict real-world behaviour.
Ansys offers structural analysis software solutions that enable engineers of all levels and backgrounds to solve complex structural engineering problems faster and more efficiently.
As supplier of Digital Lab solutions it is natural for us to maintain a strong connection with academic institutions, students, teachers and researchers across the world.
Ansys Startup Program, provided by EDRMedeso, gives you full access to simulation software bundles that are built and priced to help entrepreneurs grow their business quickly and cost-effectively.
All our services are designed to help our clients increase their competitive edge, reach their sustainability goals, and leverage cutting-edge technologies.
Since day one, our customers have been at the centre of our focus. Whether we’re taking care of our existing users or onboarding new customers into our yearly care cycle – quite simply – nothing is more important to us than you, our customer.
At EDRMedeso you learn from some of the industries top experts in their respective fields. With over 1500 collective years of experience in simulation, we provide a host of training sessions to suit your organizations needs
At EDRMedeso, we want to help you in innovating the future. Here you’ll find our upcoming webinars, events, trade shows and seminars, designed to help you maximize your engineering potential.
The only forum for executives and thought leaders to discuss and share cutting edge technology strategies designed to win in the rapidly changing environment!
Improving the reliability of electronic components for future applications.
Munich – 2 February 2021 – The Europe-wide research initiative Intelligent Reliability 4.0 (iRel40) aims to improve the reliability of electronic systems and microelectronic components. Coordinated by Infineon Technologies AG, 75 science and industry partners from 13 countries are pooling their forces to achieve this goal.
“Enhancing electronics performance through miniaturization and integrating more and more functions is progressing steadily. Performance and complexity are increasing, as the costs per function go down,” says Dr. Reinhard Ploss, CEO of Infineon Technologies AG.
“Powerful electronics form the basis for forward-looking technologies such as electro-mobility, autonomous driving, renewable energies and energy-efficient connected solutions. However, they will only be successful if users can depend on reliable functionality, quality and lifetime. Reliability is a key differentiating factor in international competition.”
iRel40 adopts a holistic approach to optimizing the reliability of microelectronic systems along the entire value chain – from the wafer to the chip and the packaging and finally to the system and hence the actual application. The aim is to significantly reduce failure rates and thus improve product quality and lifetime. This approach also contributes to more sustainable management of our natural resources.
Experts from science and industry in Europe are working together to achieve this. They are relying on the latest insights and methods in material research and failure analysis, including modeling and simulation, as well as artificial intelligence. The project is divided into eight work packages that deal with aspects such as requirements, theoretical principles, materials, test methods, and pilot applications. Infineon will, in particular, contribute its expertise and skills in chip and packaging technology.
EDRMedeso is an Elite Channel Partner of world leading multi-physics simulation tools developer Ansys Inc. The vision is to be your partner in digitalization and simulation driven product development, offering CAE software, situation adapted solutions, training and expertly performed services.
EDRMedeso is an Elite Channel Partner of world leading multi-physics simulation tools developer Ansys Inc. The vision is to be your partner – the enabler, in digitalization and simulation driven product development, offering the best in class CAE software, situation adapted solutions, training and expertly performed consulting services.
The company has worked closely with Ansys in product development since 1999, and in building information modeling together with partner Tekla, and the Trimble family under the brand BuildingPoint Scandinavia.
Close to 800 customers, from the smallest consultant companies to 10+ B€ large companies within all industrial segments. EDRMedeso is a Nordic centered company with eight offices across Norway, Sweden, Denmark, Finland, and UK, and about 100 engineers and researchers are at hand for your benefits.
Role
EDRMedeso’s role in the project will focus on digital twin creation based on physics-of-failure numerical models. Connecting engineering simulation models with IoT data to generate accurate prediction models to be used in digital twin for analyzing failure modes and life span of components and systems based on specific operating conditions.
EDRMedeso will support iRel40 partners in digitalization of PoF and DfR models based on highly detailed and accurate numerical models. EDRMedeso’s main capabilities are:
Technical expertise in Ansys software
Simulation prowess, particularly within electronics, FEA and CFD
Proficient in IoT, industry 4.0, digital twins, system modelling
Key contribution
EDRMedeso’s key contributions/objectives:
Objective 2.3: Develop Physics-of-Failure (PoF) models and Design-for Reliability (DfR)
Objective 2.4: Develop Predictive Health Management (PHM) for ECS
Within these objectives EDRMedeso will:
T2.3.2: Develop PoF based on electro-thermo-mechanical analysis, evaluated for both low cyclic- and high cyclic- fatigue. Based on this, create a digital twin for the components/systems in industrial pilot 13 (IP13) together with the partners in WP2 lead by RISE
T2.4.1: Combine PoF with data-driven models (AI and ML) to develop predictive health/maintenance models/management for IP13 together with RISE & QRTECH