In response to the challenge of monitoring the quality of ink droplet injection in the field of digital inkjet printing, this study designs and implements a visual measurement system for ink droplets based on high-definition video image processing technology. The aim is to provide a convenient and accurate method to alert users on time to the quality of ink droplet injection in inkjets. The system can capture and analyze the image of a sprayed ink droplet by an inkjet in real time, effectively monitoring and evaluating the quality of ink droplet injection. This study uses high-definition camera equipment to capture real-time images of ink droplets sprayed by an inkjet head. By using image processing algorithms, the system can accurately extract key parameters such as the number, position, volume, and flight speed of ink droplets. Through detailed experimental verification, the algorithm and system developed by our research institute have demonstrated excellent performance in detecting ink droplet spray anomalies, achieving precise detection and evaluation of ink droplets. The ink droplet visual detection system can not only capture high-definition images of ink droplets in real time but also extract crucial information for quality evaluation, providing users with an accurate and reliable tool for evaluating the quality of ink droplets. Experimental results demonstrate that the proposed droplet visual inspection system significantly outperforms other systems, validating its effectiveness in droplet detection applications. The results of this study not only provide strong technical support for quality control of inkjet printing technology but also significantly improve traditional ink droplet detection methods through real-time monitoring and automated processing. This improves the efficiency and accuracy of inkjet printing and also greatly promotes the application of inkjet printing technology in various fields through innovative system applications, especially in high-precision printing. This in turn can significantly improve product quality and production efficiency.
Additive Manufacturing (AM) refers to a class of manufacturing processes which produces three dimensional objects directly from 3D model data. A range of AM processes, such as fused deposition modelling and laser sintering are deemed slow compared to injection moulding, as they depend on point-to-point consolidation. In order to progress into high speed manufacturing, a novel process called the High Speed Sintering (HSS) process is currently being developed at the University of Sheffield.HSS is a powder bed fusion process which employs an inkjet print head to print a cross sectional image of an <fig position="float" id="s37_f.1"> <label>Figure 1</label> <caption>Key components in the High Speed Sintering (HSS) process</caption> <graphic mime-subtype="tif" xlink:href="Images\s37_f01.tif" xmlns:xlink="http://www.w3.org/1999/xlink"/> </fig> object in radiation absorbing material (RAM) onto a powder build bed.[1] The build bed is subsequently exposed to infrared radiation to promote selective sintering of RAM coated powder, leaving the surrounding powder to act as a support. Consolidation is obtained by adding a new layer of powder in between printing successive images to form a 3D object. The HSS process uses Nylon-12 as its standard material, and is suitable to use with a range of polymer powder, especially thermoplastics. An overview of the HSS process with its key components is illustrated in Figure 1 below.Previous research on HSS has focused on assessing the effect of infrared lamp level,[2] the addition of flow agent[3] and the greyscale value on the mechanical properties of parts. Few studies have been performed on non-destructive characterisation of polymer parts, either by using Differential Scanning Calorimetry (DSC)[5] or NIR spectroscopy for laser sintered parts[6] and rubber parts[7]. This project aims to propose a non-destructive method to estimate the tensile properties of HSS Nylon-12 parts. Previous research based on the “greyscale level” suggested a correlation between the input ink dithering level during sintering process and the resultant parts tensile properties, however this method is not widely applicable across all inkjet print heads due to the difference in specifications. Spectroscopy method has never been used to assess parts made by the high speed sintering process and is advantageous as it quantifies an output grey level.In this contribution, an overview of the HSS processing of Nylon-12 powder will be provided. Reflectance spectroscopy will be performed on manufactured parts and the results compared with actual tensile tests. The correlation between HSS Nylon-12 parts reflectance values and their corresponding ultimate tensile strength values will be presented.