DfAM

The acronym DfAM – Design for Additive Manufacturing – has emerged in recent months to define all those practices and skills that enable a designer or an engineer to create objects which optimally leverage the geometric potential of additive manufacturing technologies.



These skills and practices include many software tools – often included in CAE (Computer Aided Engineering) programs as well as capabilities that are derived from personal experience. Next generation CAD and CAE software may provide support through a wide range of approaches. These include processes such as topology optimization – that is the ability to add material where it is needed and remove it where it is unnecessary – or the parametric generation of lattice and trabecular structures. There are highly intricate networks of structures that can confer a specific component the same or better mechanical properties than solid parts, using less material and thus reducing manufacturing costs. Furthermore, these types of structures can be produced only through layered additive manufacturing processes.


While these approaches are becoming adopted in advanced engineering, there were still largely unknown until just a few years ago, when only a handful of forward-looking creatives, artists and product designers began to experiment with them in combination with AM technologies. Today DfAM has grown to encompass concepts such as mass customization – the ability to serially manufacture custom products – as well as wearable technology and even personalized food manufacturing. These designers continue to show us the way products will be digitally and additively made in the future. Check out 3dpbm’s exclusive celebrity survey with some of the world’s greatest DfAM designers.

Synera brings agentic AI to additive manufacturing design and build preparation

Synera brings agentic AI to additive manufacturing design and build preparation

Synera, the Bremen-based engineering software company formerly known as ELISE, has positioned itself as one of the most significant automation…

2 months ago

Researchers increase part strength with advanced simulations

According to Kennesaw State University, internal structures of 3D printed components often limit strength and reliability. New research from the…

9 months ago

MIT researchers improve reliability of complex 3D printed parts

According to MIT, researchers have created a way for 3D models to account for 3D printing’s limitations during the design…

11 months ago

QuesTek expands ICMD software platform

QuesTek Innovations, a computational materials engineering company, has introduced new simulation-driven capabilities in its ICMD materials design and engineering software…

11 months ago

The AM digital warehouse is already here

In today's rapidly evolving manufacturing landscape, digital warehousing is emerging as a key transformative solution to address multiple challenges in…

1 year ago

Materialise unveils 2025 Magics

Materialise, a leader in AM software and services, has released 2025 Magics and entered partnerships with Raplas and One Click…

1 year ago

How NASA JPL keeps skyrocketing AM into the future

Interviewing keynote speakers for the upcoming AMUG Conference is one of the highlights of VoxelMatters' editorial year. It is a…

1 year ago

nTop acquires cloudfluid to advance computational design offering

nTop, a leader in computational design software for high-performance engineering, has acquired cloudfluid, a German company specializing in computational fluid…

2 years ago

Siemens officially acquires Altair Engineering

As VoxelMatters anticipated last week, Siemens is officially acquiring Altair Engineering Inc., a leading software provider in the industrial simulation…

2 years ago

Self-improving AI increases 3D printing efficiency

According to Washington State University, an artificial intelligence algorithm (AI) can allow researchers to more efficiently use 3D print intricate…

2 years ago