Ansys is a software suite of Ansys Inc.
Ansys Additive Science is a stand-alone solution specifically designed for scientists and engineers to provide an exploratory environment to determine the optimum process parameters for metal additive manufacturing machines and materials.
Ansys Additive Science helps users to ensure the achievement of the highest part integrity allowing to:
Ansys Additive Science enables to gain insight into the microscale meltpool phenomena and to study the effect of various process parameters by enabling prediction of:
brochure
Ottime potenzialità nella riprogettazione di parti di macchine e stampi per la produzione
Ansys Additive
Send your technical questions to our experts!
Connect you with an EnginSoft expert who can provide a reliable answer to your technical question or recommend a
proven solution.
CASE STUDY
EnginSoft’s cost-effective solution was successfully created in collaboration with F4E’s expert teams after numerous years spent developing and testing tools, algorithms and customized interfaces in each phase of the Electromagnetic FEM analysis workflow.
energy ansys electronics
training courses
EnginSoft organizes training courses on software technologies related to these manufacturing technologies, designed to ensure that our customers become effective in the shortest possible time.
training ansys-additivesuite
Our competences in Ansys Additive Science
CASE STUDY
Today, numerical simulation and experimental testing are used to qualify products in different stages of the development process.
rail-transport ansys recurdyn
CASE STUDY
This article discusses the use of the Ansys HFSS SBR+ method for wave propagation analysis that is based on specific EM propagation formulations (commonly referred to as Asymptotic Methods), and which offers an effective alternative in terms of solution accuracy and computational cost. The method’s effectiveness is demonstrated in this case study that considers the analysis of an ESM sinuous antenna installed on an avionics platform.
ansys electronics
CASE STUDY
This study was part of the Virtual Optimization PAsta production process (OPAV) research project,
modefrontier ansys ls-dyna magma optimization food-beverage consumer-goods