Abstract
Additive manufacturing (AM) has been widely used for high-value-added parts. Therefore, cost models are needed for fast and accurate cost estimation during the AM design phase; otherwise, incorrect cost estimation may cause unexpected cost expenses. This work proposes a parametric cost model for AM using experimental and statistical methods. In this work, specific manufacturing costs (SMC) and build rates (cm3/h) are calculated based on experiments and approximated by regression models. For a fast cost estimation in AM, the build rate for a build task needs to be investigated, and then the SMC can be calculated using the regression model.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
