Replication processes for the manufacturing of micro/nano-structured components are characterized by a certain degree of precision and accuracy.The transcription loss,or replication fidelity,defines the geometrical an...Replication processes for the manufacturing of micro/nano-structured components are characterized by a certain degree of precision and accuracy.The transcription loss,or replication fidelity,defines the geometrical and dimensional correspondence of micro/nano-structure from metal tool inserts into plastic patterned products.The employment of a vast spectrum of micro/nano-structured geometries calls for methodologies that can be used for the estimation of replication fidelity.This study presents a number of product fingerprints,which propose multiple ways to characterize micro/nano structures in replication technologies.Replication fidelity yielded values above 80%and up to 96%depending on the considered product fingerprints and their definition.Thereafter,a correlation of the product fingerprint with the process parameters was found to optimize the replication process.Measurement uncertainty accompanies the analysis of the product fingerprints,enabling a standardized,robust,and quantitative methodology for process learning,modeling,and optimization.展开更多
基金The PROSURF project(“Surface Specifications and Process Chains for Functional Surfaces”,http://www.prosurf-project.eu/)is funded by the HORIZON 2020 program(Project ID:767589)the European Commission.MADE DIGITAL(Project ID:6151-00006B),Manufacturing Academy of Denmark(http://en.made.dk/),Work Package WP3“Digital manufacturing processes”,is funded by Innovation Fund Denmark(https://innovationsfonden.dk/en).
文摘Replication processes for the manufacturing of micro/nano-structured components are characterized by a certain degree of precision and accuracy.The transcription loss,or replication fidelity,defines the geometrical and dimensional correspondence of micro/nano-structure from metal tool inserts into plastic patterned products.The employment of a vast spectrum of micro/nano-structured geometries calls for methodologies that can be used for the estimation of replication fidelity.This study presents a number of product fingerprints,which propose multiple ways to characterize micro/nano structures in replication technologies.Replication fidelity yielded values above 80%and up to 96%depending on the considered product fingerprints and their definition.Thereafter,a correlation of the product fingerprint with the process parameters was found to optimize the replication process.Measurement uncertainty accompanies the analysis of the product fingerprints,enabling a standardized,robust,and quantitative methodology for process learning,modeling,and optimization.
