Acquisitions, Mergers & PartnershipsAM SoftwareMetal Additive Manufacturing

Simufact and Renishaw to improve simulation for multi-laser metal AM

Stay up to date with everything that is happening in the wonderful world of AM via our LinkedIn community.

Engineering firm Renishaw has announced a partnership with simulation expert Simufact with the aim of improving powder-based metal additive manufacturing through simulation and build preparation. Through the collaboration, the companies will integrate Renishaw’s QuantAM build preparation software into Simufact Additive 2020. They will also work to further refine the simulation process for the complex metallurgy of common materials with the goal of improving prediction and compensation of stress and distortion during the print job.

Simufact introduced its new simulation software, Simufact Additive 2020, at Formnext 2019, integrating many new features into the platform, including cost estimation of the build process and improved interoperability with Renishaw systems. Through the recent partnership, Simufact 2020 now also includes an integrated Renishaw QuantAM API for build prep and export. This new tool allows Renishaw customers to achieve error-free data transmission between Simufact Additive and Renishaw machines.

The partners emphasize that the new software integration can also improve productivity by bringing all steps of the workflow—from design to printed part—onto a single software platform. Further, the QuantAM API enables RenAM 500Q quad-laser machine users to conduct multi-laser build prep.

Simufact Renishaw integration
Renishaw 500Q quad-laser 3D printer

“Simufact Additive 2020 broadens the scope of our build optimisation software and underlines our commitment to openness and interoperability with third party products,” said Dr. Hendrik Schafstall, CEO and Managing Director at Simufact. “With the integration of the QuantAM build processor, we can provide an end-to-end build optimisation process, helping the users of Renishaw systems to produce AM components with repeatable dimensional accuracy right first time.”

Simulation is being understood as an increasingly important step in the additive manufacturing process, as it enables manufacturers to predict the success of parts and achieve higher consistency across builds. Not only are Renishaw and Simufact making it easier for existing customers to utilize simulation software features, but they are also teaming up to improve the simulation process for multi-laser LPBF systems.

Because multi-laser powder bed fusion machines have a faster energy input, printed metal components can often experience higher temperatures than they would using a single-laser system. This can have an influence on the parts’ microstructure, causing residual stress and distortion. By advancing simulation capabilities for multi-laser AM technology to account for this phenomenon, Simufact and Renishaw believe they can improve the build process significantly and compensate the part design to accommodate distortion.

“Our customers are looking to push the performance envelope using the latest multi-laser AM systems, but they also require consistency and precision,” explained Victor Escobar, AM Director – EMEA at Renishaw. “A seamless integration with Simufact’s powerful simulation tools will help manufacturers to develop processes that take full advantage of multi-laser productivity, maximising build rates to make a stronger business case for AM.”

Research
Polymer AM Market Opportunities and Trends

741 unique polymer AM companies individually surveyed and studied. Core polymer AM market generated $4.6 billion in 2021. Market expected to grow to over $34 billion by 2030 at 24.8% CAGR. This new...

Tess Boissonneault

Tess Boissonneault is a Montreal-based content writer and editor with five years of experience covering the additive manufacturing world. She has a particular interest in amplifying the voices of women working within the industry and is an avid follower of the ever-evolving AM sector. Tess holds a master's degree in Media Studies from the University of Amsterdam.

Related Articles

Back to top button

We use cookies to give you the best online experience and for ads personalisation. By agreeing you accept the use of cookies in accordance with our cookie policy.

Privacy Settings saved!
Privacy Settings

When you visit any web site, it may store or retrieve information on your browser, mostly in the form of cookies. Control your personal Cookie Services here.

These cookies are necessary for the website to function and cannot be switched off in our systems.

In order to use this website we use the following technically required cookies
  • PHPSESSID
  • wordpress_test_cookie
  • wordpress_logged_in_
  • wordpress_sec

Decline all Services
Accept all Services