X-ray computed tomography for predictive quality assessment, 3D visualisation of micro-injection mouldings and soft-tool deformation

X-ray computed tomography for predictive quality assessment, 3D visualisation of micro-injection mouldings and soft-tool deformation
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DOI:
10.1016/j.matdes.2023.111741
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发表时间:
2023-02
期刊:
Materials & Design
影响因子:
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通讯作者:
Mert Gülçür;P. Wilson;Michael J. Donnelly;K. Couling;V. Goodship;J. Charmet;M. Williams;G. Gibbons
Mert Gülçür;P. Wilson;Michael J. Donnelly;K. Couling;V. Goodship;J. Charmet;M. Williams;G. Gibbons
中科院分区:
其他
文献类型:
--
作者:
Mert Gülçür;P. Wilson;Michael J. Donnelly;K. Couling;V. Goodship;J. Charmet;M. Williams;G. Gibbons

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本文介绍了X射线计算机层析成像(XCT)作为一种用于微注射成型聚合物测试对象的尺寸质量保证技术,用于建立预测质量模型和量化软工具变形。将结果与工业标准激光扫描共聚焦显微镜(LSCM)进行比较,以评估XCT的能力。这项工作展示了:(I)开发了XCT设备,用于对具有足够采集时间的聚合物制成的微注射成型产品的尺寸特征进行表征,(Ii)从微成型的3D可视化中获得了XCT数据,在质量预测模型中的表现与激光扫描共聚焦显微镜相同,(Iii)可以使用XCT来量化在额外制造的软工具中发生的变形。与LSCM相比,该技术在体积数据采集方面尤其优于LSCM在微模塑料充填预测方面。更高的精确度和重复性,可预测高达92%的成型质量,结合在线收集的软工具表面温度数据,作为一种间接质量保证方法。鉴于XCT对聚合物微型元件的3D数据采集的能力,这里描述的方法在高价值的微型制造过程质量建模方面具有巨大的潜力,用于在数据丰富的环境中对微型和附加值产品进行在线质量评估。X射线CT数据的渲染3D动画:https://youtu.be/KwZty_yoDfs.
This work presents X-ray computed tomography (XCT) as a dimensional quality assurance technique for micro-injection moulded polymeric test objects for the establishment of predictive quality models and quantifying soft-tool deformation. The results are compared against an industry standard laser-scanning-confocal microscope (LSCM) for the evaluation of XCT’s capability. The work demonstrates; (i) the exploitation of a XCT equipment for dimensional characterisation of micro-injection moulded products made out of polymers with adequate acquisition times, (ii) that acquired XCT data from the 3D visualisation of the micromouldings perform on par with a laser-scanning-confocal microscope in a quality prediction model, (iii) that the deformation occurring in an additively manufactured soft-tool can be quantified using XCT. The technique was particularly superior in volumetric data acquisition compared to LSCM in the filling prediction of the micromouldings. Better accuracy and repeatability in predicting the quality of the mouldings up to 92% achieved with XCT, in conjunction with an in-line collected soft-tool surface temperature data as an indirect quality assurance method. Given the capability of the XCT for the 3D data acquisition of polymeric miniature components, the approach described here has great potential in high-value micro-manufacturing process quality modelling for in-line quality assessment of miniature and added value products in data-rich contexts.Rendered 3D animation of the X-ray CT data:https://youtu.be/KwZty_yoDfs.