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汽车应用中 3D 光学扫描技术的实现。

Implementation of 3D Optical Scanning Technology for Automotive Applications.

机构信息

Uludağ University, Vocational School of Technical Sciences, 16059 Görükle Campus, Bursa - Turkey; E-Mail:

出版信息

Sensors (Basel). 2009;9(3):1967-79. doi: 10.3390/s90301967. Epub 2009 Mar 17.

DOI:10.3390/s90301967
PMID:22573995
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3345859/
Abstract

Reverse engineering (RE) is a powerful tool for generating a CAD model from the 3D scan data of a physical part that lacks documentation or has changed from the original CAD design of the part. The process of digitizing a part and creating a CAD model from 3D scan data is less time consuming and provides greater accuracy than manually measuring the part and designing the part from scratch in CAD. 3D optical scanning technology is one of the measurement methods which have evolved over the last few years and it is used in a wide range of areas from industrial applications to art and cultural heritage. It is also used extensively in the automotive industry for applications such as part inspections, scanning of tools without CAD definition, scanning the casting for definition of the stock (i.e. the amount of material to be removed from the surface of the castings) model for CAM programs and reverse engineering. In this study two scanning experiments of automotive applications are illustrated. The first one examines the processes from scanning to re-manufacturing the damaged sheet metal cutting die, using a 3D scanning technique and the second study compares the scanned point clouds data to 3D CAD data for inspection purposes. Furthermore, the deviations of the part holes are determined by using different lenses and scanning parameters.

摘要

逆向工程(RE)是一种强大的工具,可用于从缺乏文档或与零件原始 CAD 设计相比已更改的物理零件的 3D 扫描数据生成 CAD 模型。从 3D 扫描数据数字化零件并创建 CAD 模型的过程比手动测量零件并从头开始在 CAD 中设计零件更省时,并且提供更高的精度。3D 光学扫描技术是过去几年中发展起来的测量方法之一,它广泛应用于从工业应用到艺术和文化遗产的各个领域。它还在汽车行业中广泛用于零件检查、无 CAD 定义的工具扫描、用于 CAM 程序和逆向工程的铸模stock(即从铸件表面去除的材料量)定义的铸件扫描等应用。在这项研究中,说明了两个汽车应用的扫描实验。第一个实验检查了使用 3D 扫描技术从扫描到再制造损坏的钣金冲模的过程,第二个研究比较了扫描点云数据与 3D CAD 数据以进行检查。此外,还通过使用不同的镜头和扫描参数确定了零件孔的偏差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/70922c46a282/sensors-09-01967f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/26b899038acb/sensors-09-01967f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/e6229bd230ff/sensors-09-01967f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/1c128fc704ef/sensors-09-01967f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/6869c4077749/sensors-09-01967f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/55f5f23f90e0/sensors-09-01967f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/67d89b147f6d/sensors-09-01967f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/aae58816c266/sensors-09-01967f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/a78b86487c22/sensors-09-01967f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/238f2ada6107/sensors-09-01967f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/dc32dd1ba644/sensors-09-01967f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/70922c46a282/sensors-09-01967f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/26b899038acb/sensors-09-01967f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/e6229bd230ff/sensors-09-01967f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/1c128fc704ef/sensors-09-01967f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/6869c4077749/sensors-09-01967f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/55f5f23f90e0/sensors-09-01967f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/67d89b147f6d/sensors-09-01967f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/aae58816c266/sensors-09-01967f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/a78b86487c22/sensors-09-01967f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/238f2ada6107/sensors-09-01967f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/dc32dd1ba644/sensors-09-01967f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7ba/3345859/70922c46a282/sensors-09-01967f11.jpg

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