Efficiency in the additive manufacturing process increasingly depends on the intelligent use of production data. Aconity3D, a company specializing in highly customizable 3D printing systems for industrial manufacturing, recently announced the integration of amsight‘s analysis and management software. This cooperation will enable users of Aconity3D printing systems to optimize the management and analysis of their process and material data.
The amsight software provides Aconity3D users with a central platform for the efficient analysis of process parameters, which accelerates the development of new materials and the optimization of existing production processes. The integration enables automated data preparation and facilitates quality assurance through real-time monitoring. This not only reduces reject rates, but also lowers production costs by allowing sources of error to be identified and corrected at an early stage.
A key benefit of this collaboration is the seamless integration of the amsight software into AconityCONFIGURATOR. This means that new and existing customers can select the software directly and integrate it into their existing systems. Already installed Aconity3D printers can also be retrofitted with the solution, allowing existing customers to benefit from the extended analysis options with little effort.
Dr. Florian Eibl, Commercial Director at Aconity3D, said:“Aconity3D is committed to equipping our users with the most advanced tools available. Integrating amsight’s software with our machines allows our customers to streamline data workflows, reduce costs, and improve process reliability.”
Dr.-Ing. Tim Wischeropp, CEO & Co-Founder at amsight, said: “Our partnership with Aconity3D marks a major step forward in helping manufacturers and research teams unlock the true power of their data. With our solution, users can optimize production, improve quality control, and drive innovation with confidence.”
The strategic partnership between Aconity3D and amsight highlights the trend towards data-driven solutions in the field of additive manufacturing. By improving the use of process and material data, manufacturers can not only increase their production quality, but also reduce costs and drive innovative material developments.
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