London-based AMFG has just unveiled their new holistic build analysis tool software for 3D printed parts. The tool serves as the latest addition to their overall AI powered AMFG program, adding in the ability to digitally analyse cost-effectiveness in an instant. The holistic build analysis tool acts as a quicker, more efficient alternative to nesting software.
AMFG states: “Our unique software solution uses the latest in machine learning technology to help companies coordinate their manufacturing processes, offering tools like automated production scheduling and real-time data reporting.”
The new tool, much like the whole software, adds to the arsenal of machine learning capabilities. It allows users to produce while keeping costs in check and optimising designs and resource allocation. The company also invented it to save time and prioritise which parts need priority. The software actually takes deadlines, machine availability and schedules into account so users can streamline their processes.
An Alternative to Nesting
While nesting software can manage a similar function, there are distinct advantages to the holistic analysis. The company states: “nesting software offers an iterative solution, requiring users to set time limits or an ideal density capacity before the nesting process is complete.”
As nesting software are often separate programs, they take up time and resources in the background thus often inhibiting projects. AMFG’s new tool estimates the build’s fill rate almost instantly once users pick which parts they want to make. Nesting software, on the other hand, take a long time to cover this same set of tasks.
Another advantage of the tool is that it is constantly learning. While early on users will fill in their own estimates, the machine learning protocols allow the tool to improve its accuracy over time. In later phases the company hopes the tool can make its own suggestions about scheduling and build time. AMFG state that it is only in its first phase as of now.
Featured image courtesy of AMFG, retrieved via their website.
