Walkthrough of challenges and opportunities in 3D printing postprocessing together with AM-Flow, DyeMansion and PLM Group.
Many additive manufacturing production environments are on the verge of growing their operations as the technology becomes a viable manufacturing option. But the potential to scale is limited by the postprocessing workflows, as these are still mostly executed manually. Scaling the business does not equate with simply adding more people to deal with increasing volumes. Cost per part, lead time, increasing quality and reliability, not to mention creating repeatable processes, need to be considered if a company wants to scale their AM production. The only way forward is to automate post processing workflows.
The benefits are substantial on 3 levels:
Economics: Scalability of business, Increased revenues, Cost price reduction, Maximum capitalization of assets.
Digital Process: Increased workflow efficiency, Tracking & tracing, supporting a Certifiable production process, Automatic data entry, Automatic counting, Industry 4.0 Digital thread.
Customer satisfaction: Lead time minimization, Minimizing delivery mistakes, Same day delivery, Audited processes, Custom bagging & labelling.
And finally, let’s not forget that we’re taking out some very boring and laborious work from engineers who should be working on other things.
Thanks to recent advances in machine learning and postprocessing hardware and software, it is now possible to automate almost every part of AM post-processing, reducing labor costs and significantly improving process efficiency.
In this webinar, we like to show the importance of putting automation on your roadmap and how to optimize your Additive Manufacturing workflow after your parts are printed.
