In order to reduce the "trial-mold" risk and cost,numerical simulation method was applied to micro injection molding weld line development investigation. The micro tensile specimen which has the size of 0.1 ...In order to reduce the "trial-mold" risk and cost,numerical simulation method was applied to micro injection molding weld line development investigation. The micro tensile specimen which has the size of 0.1 mm(depth) ×0.4 mm(width) ×12 mm(length) in test area was selected as the objective part,and polypropylene(PP) as the experimental material. Respectively with specific commercial software(Mold Flow) and general computational fluid dynamic(CFD) software(Comsol Multiphysics) ,the simulation experiments for development of weld line in micro injection molding process were executed and the real comparison experiments were also carried out. The results show that during micro injection molding process,the specific commercial software for normal injection molding process is not valid to describe the micro flow process,the shape of flow front in micro cavity flowing which is important in weld line developing study and the contact angle due to surface tension are not able to be simulated. In order to improve the simulation results for micro weld line development,the general CFD software,which is more flexible in user defining function,is applied. The results show better effects in describing micro fluid flow behavior. As a conclusion,as for weld line forming process,the numerical simulation method can give a characteristic analysis results for processing parameters optimizing in micro injection molding process;but for both kinds of softwares quantitative analysis cannot be obtained unless the boundary condition and micro fluid mathematic model are improved in the future.展开更多
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Project(ZI648/13-1) supported by German Research FoundationProject(D/06/00373) supported by German Academic Exchange Service
文摘In order to reduce the "trial-mold" risk and cost,numerical simulation method was applied to micro injection molding weld line development investigation. The micro tensile specimen which has the size of 0.1 mm(depth) ×0.4 mm(width) ×12 mm(length) in test area was selected as the objective part,and polypropylene(PP) as the experimental material. Respectively with specific commercial software(Mold Flow) and general computational fluid dynamic(CFD) software(Comsol Multiphysics) ,the simulation experiments for development of weld line in micro injection molding process were executed and the real comparison experiments were also carried out. The results show that during micro injection molding process,the specific commercial software for normal injection molding process is not valid to describe the micro flow process,the shape of flow front in micro cavity flowing which is important in weld line developing study and the contact angle due to surface tension are not able to be simulated. In order to improve the simulation results for micro weld line development,the general CFD software,which is more flexible in user defining function,is applied. The results show better effects in describing micro fluid flow behavior. As a conclusion,as for weld line forming process,the numerical simulation method can give a characteristic analysis results for processing parameters optimizing in micro injection molding process;but for both kinds of softwares quantitative analysis cannot be obtained unless the boundary condition and micro fluid mathematic model are improved in the future.
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.
