Finite Element Additive Manufacturing

Generative Design & Lattice Structures: Topology, Shape and Bead Optimization

Additive Manufacturing and 3D Printing : FEA Based Design and Optimization with Simufact, Abaqus, ANSYS

Generative Design & Lattice Structures: Topology, Shape and Bead Optimization
Finite Element Additive Manufacturing
Generative Design is an innovative approach to product design that leverages topology optimization, artificial intelligence, and advanced simulation to create multiple viable design alternatives automatically, based on simple design criteria specified by the user.

Generative Design allows engineers and designers to explore a much wider range of design options than traditional methods, leading to increased creativity and innovation in the product design process. By generating multiple design alternatives, it also helps to optimize designs for efficiency, reduce weight, and minimize material usage, resulting in cost savings and improved sustainability.

Moreover, we use Generative Design to reduce the time-to-market for new products, as it enables our designers to quickly generate and evaluate multiple design alternatives, reducing the need for time-consuming manual design iterations.
The wider discipline

Additive Manufacturing

Nonparametric optimization techniques such as artificial intelligence (AI) can be used in conjunction with finite element analysis (FEA) to further optimize designs for AM. AI can help identify the most critical design parameters and their optimal values, while FEA can be used to simulate the performance of the design under various loading conditions. Together, these tools can help engineers create parts that are not only lighter and stronger, but also tailored to specific applications.

Furthermore, AM simulations with advanced package such as Ansys can be used to assess the quality …
Additive Manufacturing
Across Finite Element

Other Simulation Area

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