Automotive supplier ZF decided to rely on the 3D Spark platform to simplify the process of fabricating 3D-printed parts.
As a reminder, 3D Spark is a software solution that enables to identify the ideal 3D printed part. Its solution relies on AI to help engineers automate and identify the most suitable manufacturing processes, automate quoting, and Request for Quotation (RFQ) preparation.
By enabling users to gain instant insights into CAD design suitability, manufacturability, optimization possibilities, precise cost break-down, and CO2 footprint for every in-house production option, 3D Spark takes into account relevant AM technologies covering polymer, metal, and ceramics, as well as milling, turning, metal casting, and injection molding, enabling a Digital Factory Twin.
Marcel Ahlbrand, Head of Advanced Development Chassis Components at ZF, explains: “We need to give the power to the people to understand cost and manufacturability of their parts without consulting experts and wasting their time, and this is what 3D Spark is helping us to do.”
ZF said one of the major benefits of using 3D Spark was the ability to reduce 50% in time required for analyzing part manufacturability and writing quotes, whilst increasing accuracy and trustworthiness by 25.
ZF is not the first corporate giant that 3D Spark has convinced. Before ZF, French rolling stock manufacturer Alstom was able to save €1.8M in costs thanks to the spin-off of Fraunhofer IAPT.
Through such partnerships, 3D Sparks aims to highlight the value added service of agile startups in digital manufacturing.
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