GOALI: Adaptive Control of Inkjet Printing on 3D Curved Surfaces

这个学术与工业联络（GOALI）项目的资助机会将应用自适应控制的工程技术，以极大地扩展喷墨沉积的表面几何形状。喷墨沉积是一种有价值的技术，具有从伤口治疗到先进制造的潜在应用。然而，这种潜力目前受到喷墨沉积在平坦表面上印刷的实际限制的限制。这项研究将使新类别的技术，产品和服务。这项工作将通过德克萨斯大学达拉斯分校的研究人员和达拉斯地区组织MicroFab Technologies的专家之间的大学-行业合作伙伴关系完成。该团队将专注于两个实际应用：1）将定制的伤口治疗直接打印到癌症组织切除或创伤性损伤引起的伤口上，以及2）将标签打印到制造零件上以提高组装效率。研究成果将被整合到工程教育研讨会在UT达拉斯，以及在佩罗博物馆的自然和科学在市中心达拉斯的展览。有一个缺乏具体的知识，沉积/影响后，在曲面上的液滴运动，有必要的方法来检测和改变液滴的位置，以调节最终的流体分布。这是一个复杂的问题，结合表面几何形状，表面化学，材料科学，估计和控制理论，以调节正确的墨滴放置与移动打印头的估计。该项目需要创新的传感和控制策略，包括前馈，反馈和自适应控制，以解决表面测量和液体与表面之间的相互作用模型的不确定性。具体而言，信息理论，非线性估计，优化，基于李雅普诺夫的稳定性理论和几何控制的工具将被用来建立一个正式的方法来进行这样的印刷与机器人操纵器，沿着液体性质和表面化学的理解。

This Grant Opportunity for Academic Liaison with Industry (GOALI) project will apply engineering techniques in adaptive control to greatly expand the surface geometries accessible to inkjet depositing. Inkjet depositing is a valuable technique, with potential applications that vary from wound treatment to advanced manufacturing. However, this potential is currently limited by the practical restriction of inkjet depositing to printing on flat surfaces. This research will enable new classes of technologies, products, and services. The work will be done through a university-industry partnership between researchers at The University of Texas at Dallas and experts at MicroFab Technologies, a Dallas-area organization. The team will focus on two real-world applications: 1) printing customized wound treatments directly onto wounds arising from cancer tissue removal or traumatic injury, and 2) printing labels onto manufactured parts to increase assembly efficiency. Research outcomes will be integrated into engineering education workshops at UT Dallas, as well as exhibits at the Perot Museum of Nature and Science in downtown Dallas.There is a lack of specific knowledge of droplet motion on curved surfaces after deposition/impact, necessitating methods to detect and alter drop placement to regulate final fluid distribution. This is a complicated problem incorporating estimation of surface geometry, surface chemistry, materials science, and estimation and control theory to regulate correct drop placement with a moving print head. This project requires innovative sensing and control strategies incorporating feedforward, feedback and adaptive control to address uncertainty in the surface measurement and models of the interactions between liquid and surface. Specifically, tools of information theory, nonlinear estimation, optimization, Lyapunov-based stability theory and geometric control will be used to establish a formal approach to conduct such printing with robot manipulators, along with understanding of liquid properties and surface chemistry.