Low cost three-dimensional virtual model construction for remanufacturing industry
Low cost three-dimensional virtual model construction for remanufacturing industry
复制标题
再制造行业低成本三维虚拟模型构建
DOI：
10.1007/s13243-018-0059-5
复制
发表时间：
2017
影响因子：
--
通讯作者：
C. Macleod
中科院分区：
文献类型：
--
作者：
M. U. R. Siddiqi;W. Ijomah;G. Dobie;M. Hafeez;S. Gareth Pierce;W. Ion;C. Mineo;C. Macleod
再制造产品可以节省高达80%的生产和能源成本，同时减少二氧化碳排放。再制造的关键成功因素是质量、交货期和成本。行业内的广泛工作和对再制造过程的详细分析表明，部件检测对整体生产率有重要影响。再制造缺乏自动化，因为活动主要是手动的。再制造过程的自动化不仅可以通过降低成本和提高质量的一致性来减少不可再制造部件的数量，而且还可以吸引行业进行再制造设计。需要组件的数字模型来自动化拆卸过程，并向工业4.0和网络物理系统迈进。有几种昂贵的技术来创建数字模型，这对于再制造行业来说是不可行的。研究论文的目的是检查使用视觉结构运动（VFM），一个相对低成本的方法，开发一个3D数字模型的可行性，自动化的汽车发动机（在收到的条件下）拆卸过程中使用工业机器人。这些实验评估了使用Videogrammetry获取发动机拆卸前三维模型的科学可行性。采集并处理多个2D图像以找到匹配的共同特征。通过匹配特征计算相机的位置，产生捕获体积的三维数字表示。最初创建稀疏点云，然后将其转换为密集的3D点云。将3D点云转换为网格模型。将2D图像拼接在一起，以创建具有表面纹理和颜色的发动机虚拟模型。小的特征在3D模型中清晰可见。
Remanufactured products can save up to 80% of production and energy costs whilst generating lower CO2 emissions. The key success factors for remanufacturing are quality, lead-time and cost. Extensive work within the industry and the detailed analysis of the remanufacturing process has shown that component inspection has significant bearing on overall productivity. Remanufacturing lacks automation because activities are predominantly manual. Automation of remanufacturing process will not only decrease the number of non-remanufacturable components, through decreasing cost and increasing consistency in quality, but also attract industries to design for remanufacture. A digital model of the component is required to automate the disassembly process and move towards industry 4.0 and cyber physical systems. There are several expensive techniques to create a digital model, which are not feasible for the remanufacturing industry. The research paper aims to check feasibility of using Visual Structure for Motion (VFM), a relatively low cost method, to develop a 3D digital model, for automation of the automotive engine (in as received condition) disassembly process using industrial robots. These experiments assess the scientific feasibility of using Videogrammetry to acquire pre-disassembly 3D model of the engine. Multiple 2D images were acquired and processed to find matching common features. The location of the camera was calculated through the matching features, producing a three-dimensional digital representation of the captured volume. A sparse point cloud was initially created and was then converted into a dense 3D point cloud. The 3D point cloud was converted into a meshed model. 2D images were stitched together to create a virtual model of the engine with surface texture and colour. Small features were clearly visible in the 3D model.