Competence along the value chain
enter2net stands for many years of experience in the consulting business with expertise in a variety of topics and industries.
This is now combined with the know-how for additive manufacturing and the appropriate software solutions.
Usage of the 3D Partfinder in Value Engineering and Design-to-Cost projects
Companies have made considerable efforts to reduce production costs and improve quality.
Value Engineering and Design-to-Cost projects are still very relevant approaches in engineering and production. By changing the design of the product itself, rather than focusing on the production processes, manufacturers can achieve significant cost reductions.
Using the 3D Partfinder in those projects helps to speed up the identification of the relevant components and assemblies for a redesign using CAD data for geometric searches. In particular, cross-assembly and cross-product group analyses for identical parts, duplicates and similar (and thus unified) components can be carried out efficiently.
Ask us about our Value Engineering and Design-to-Cost consulting package, where we use the 3D Partfinder for efficient and fact-based part identification.
Usage of the 3D Partfinder in AM projects
The use of the 3D Partfinder for projects in the field of additive manufacturing helps with the following questions:
- How do I find (more) suitable components for 3D printing?
- Which business cases for additive manufacturing (AM) can be derived from the component spectrum with regard to spare parts, prototype parts or (pre-) series parts?
- How can existing printer capacities be better utilized or new investments be better aligned to the expected range of parts?
Using the 3D Partfinder, you can quickly obtain data from the CAD data such as component dimensions, surface area and centres of gravity as well as calculated parameters such as bounding box, undercut analyses and wall thicknesses from the CAD data.
Ask us about our Additive Manufacturing consulting package, where we use the 3D Partfinder for efficient and fact-based part identification.