Chisholm Bret J, Webster Dean C, Bennett James C, Berry Missy, Christianson David, Kim Jongsoo, Mayo Bret, Gubbins Nathan
Center for Nanoscale Science and Engineering, North Dakota State University, Fargo, North Dakota 58105, USA.
Rev Sci Instrum. 2007 Jul;78(7):072213. doi: 10.1063/1.2755505.
An automated, high-throughput adhesion workflow that enables pseudobarnacle adhesion and coating/substrate adhesion to be measured on coating patches arranged in an array format on 4x8 in.(2) panels was developed. The adhesion workflow consists of the following process steps: (1) application of an adhesive to the coating array; (2) insertion of panels into a clamping device; (3) insertion of aluminum studs into the clamping device and onto coating surfaces, aligned with the adhesive; (4) curing of the adhesive; and (5) automated removal of the aluminum studs. Validation experiments comparing data generated using the automated, high-throughput workflow to data obtained using conventional, manual methods showed that the automated system allows for accurate ranking of relative coating adhesion performance.
开发了一种自动化的高通量粘附工作流程,该流程能够在4×8英寸(2)面板上以阵列形式排列的涂层贴片上测量拟藤壶附着力以及涂层/基材附着力。该粘附工作流程包括以下工艺步骤:(1)在涂层阵列上施加粘合剂;(2)将面板插入夹紧装置;(3)将铝制螺柱插入夹紧装置并放置在涂层表面上,使其与粘合剂对齐;(4)粘合剂固化;以及(5)铝制螺柱的自动移除。将使用自动化高通量工作流程生成的数据与使用传统手动方法获得的数据进行比较的验证实验表明,该自动化系统能够对涂层的相对粘附性能进行准确排名。