Literature DB >> 33410451

Voxel based method for predictive modelling of solidification and stress in digital light processing based additive manufacture.

Andrew Reid1, Joseph C Jackson1, J F C Windmill1.   

Abstract

A method for predicting the solidification and stress of a digital light processing 3D print process is presented, using a voxel-based, multi-layer model to predict the degree of polymerization of the material at every stage during the print. Additive manufacturing offers extremely short development cycles, making predictive modelling of the complex chemical and mechanical interactions of photo-polymerization during part construction unappealing compared to iterative work-flows. Accurate predictions of stress, and the impact of the print parameters and post-print process upon stress, become increasingly important for 3D printing micro-scale electrical and mechanical systems as we design resonators and conductive layers. The process uses a simple method of printed cantilevers to calibrate the stress from various print processes such as propagation of the polymerization front and polymerization gradient. The model is found to have good predictive value and is capable of stress and solidification prediction from a computer aided design file.

Entities:  

Year:  2021        PMID: 33410451     DOI: 10.1039/d0sm01968b

Source DB:  PubMed          Journal:  Soft Matter        ISSN: 1744-683X            Impact factor:   3.679


  3 in total

1.  Characterization of a 30 µm pixel size CLIP-based 3D printer and its enhancement through dynamic printing optimization.

Authors:  Brian J Lee; Kaiwen Hsiao; Gabriel Lipkowitz; Tim Samuelsen; Lee Tate; Joseph M DeSimone
Journal:  Addit Manuf       Date:  2022-04-01

2.  Non-destructive Analysis of the Mechanical Properties of 3D-Printed Materials.

Authors:  R Domingo-Roca; L Asciak; J F C Windmill; H Mulvana; J C Jackson-Camargo
Journal:  J Nondestr Eval       Date:  2022-02-18       Impact factor: 1.995

3.  Feasibility Study of Soft Tooling Inserts for Injection Molding with Integrated Automated Slides.

Authors:  Tobias Vieten; Dennis Stahl; Peter Schilling; Faruk Civelek; André Zimmermann
Journal:  Micromachines (Basel)       Date:  2021-06-22       Impact factor: 2.891

  3 in total

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