Ansys Additive Science

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:

  • Determine optimum machine/material parameters
  • Control microstructure and material properties
  • Manufacture using new metal powders faster and more efficiently
  • Reduce the number of experiments needed to qualify components
  • Mitigate risk while accelerating innovation
  • Create process qualification procedures based on comparisons between simulation-predicted “correct” — and sensor-measured “actual” — machine behaviour

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:

  • Meltpool and Porosity
  • Thermal history
  • Thermal sensor measurements
  • Microstructure and material properties
  • Grain morphology
  • DOE via parametric studies


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Ansys Additive Print
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Ansys Additive Suite
Product brochure

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Ansys Additive Suite
Product brochure

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Progettazione e Simulazione del processo Additive Manufacturing per componenti metallici

Vantaggi e ritorno dell'investimento

Ottime potenzialità nella riprogettazione di parti di macchine e stampi per la produzione

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Multi-Objective Optimization of a Sailing Yacht Aluminum Mast

The optimal mast weight under specific structural strength requirements

The aim of this study was to reduce the weight of the world’s tallest aluminum mast for a new series of single mast sailing yachts manufactured by Perini Navi under the brand name Salute.

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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.

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Our Expertise in Ansys Additive Science


Optimizing the cable routing for a hyper-redundant inspection robot for harsh, hazardous environments

A multi-objective optimization framework to reduce the actuation loads and increase the payload

This article discusses a multi-objective optimization study to determine the optimal matrix for the routing of the actuating cable system in order to minimize the cable load on the robot and maximize the robot’s payload.

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Acoustic assessment of an electric water pump using Ansys Workbench and Multiphysics simulation

Feasibility study of a complete acoustic workflow

This technical article describes an acoustic emissions study conducted on an electric water circulation pump used for supplementary cooling or heating functions in vehicles, by the Modeling & Simulation Pumps Department of Pierburg Pump Technology

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A natural remedy for hot-spot stresses

Using advanced mesh morphing to seamlessly perform bio-inspired structural shape optimization

This paper demonstrates how the biological growth method, studied by Mattheck in the 1990s, can be easily implemented for structural shape optimization finite element method (FEM) analyses using advanced radial basis functions (RBF) mesh morphing.

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