MSC Software today announced the acquisition of Simufact Engineering. Simufact is a leader in simulation of metal forming and joining processes. Based on best-in-class nonlinear simulation software technology, Simufact.forming and Simufact.welding are metal forming and welding process simulation tools used by aerospace, automotive, and machinery industries, their parts and materials suppliers, as well as major Original Equipment Manufacturers (OEMs) to realize significant savings from reducing shop-floor tryouts of their manufacturing processes.
Simufact's customers in the metal forming industry that leverage process simulation confirm that they have reduced physical testing up to 50% following implementation of Simufact's software. Moreover, they confirm that cycle times for new part developments can be reduced from 3 weeks to 1 week. MSC customers will realize even greater savings from simulating the entire process chain with Simufact and MSC's tools, to gain a better understanding of the as-manufactured condition of the product.
"Too often, our customers tell me that poorly-understood manufacturing processes result in products that don't function as designed and simulated," said Dominic Gallello, President & CEO of MSC Software. "By connecting Simufact's manufacturing process oriented tools to design simulation, we can better assist our customers with their drive for 'first time right'."
"It is tremendously exciting to make the leap to a global company," said Michael Wohlmuth, Co-founder and CEO of Simufact. "Our team eagerly anticipates replicating our success with new companies and in more countries." Dr. Hendrik Schafstall, Co-founder and CTO of Simufact added: "Being a direct member of the MSC family offers additional advantages: We will be able to accelerate the technology development; our customers can look forward to greater innovation." Simufact's software solutions have been noted within the manufacturing engineering community for their ease of use, their ability to simulate a broad range of physics with great accuracy (thermal/materials/ mechanics), and for being uniquely well suited for process chain simulation.
