Automated Weld Integrity Analysis Using 3D Point Data

2010 ◽  
Author(s):  
Matthew Swanson ◽  
Eric Johnson ◽  
Alexander Stoytchev
Keyword(s):  
Camera System ◽  
Inspection Method ◽  
Control Applications ◽  
3D Images ◽  
Weld Toe ◽  
Point Data ◽  
Integrity Analysis ◽  
Manufacturing Environments ◽  
Non Destructive

This paper describes a method for non-destructive evaluation of the quality of welds from 3D point data. The method uses a stereo camera system to capture high-resolution 3D images of deposited welds, which are then processed in order to extract key parameters of the welds. These parameters (the weld angle and the radius of the weld at the weld toe) can in turn be used to estimate the stress concentration factor of the weld and thus to infer its quality. The method is intended for quality control applications in manufacturing environments and aims to supplement, and even eliminate, the manual inspections which are currently the predominant inspection method. Experimental results for T-fillet welds are reported.

scholarly journals Porosity Analysis of Additive Manufactured Parts Using CAQ Technology

Materials ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1142
Author(s):  
Peter Pokorný ◽  
Štefan Václav ◽  
Jana Petru ◽  
Michaela Kritikos
Keyword(s):  
Manufacturing Process ◽  
Scanning Speed ◽  
Additive Technologies ◽  
Integration Time ◽  
Detector Resolution ◽  
Porosity Analysis ◽  
3D Scans ◽  
Printing Direction ◽  
Non Destructive

Components produced by additive technology are implemented in various spheres of industry, such as automotive or aerospace. This manufacturing process can lead to making highly optimized parts. There is not enough information about the quality of the parts produced by additive technologies, especially those made from metal powder. The research in this article deals with the porosity of components produced by additive technologies. The components used for the research were manufactured by the selective laser melting (SLM) method. The shape of these components is the same as the shape used for the tensile test. The investigated parts were printed with orientation in two directions, Z and XZ with respect to the machine platform. The printing strategy was “stripe”. The material used for printing of the parts was SS 316L-0407. The printing parameters were laser power of 200 W, scanning speed of 650 mm/s, and the thickness of the layer was 50 µm. A non-destructive method was used for the components’ porosity evaluation. The scanning was performed by CT machine METROTOM 1500. The radiation parameters used for getting 3D scans were voltage 180 kV, current 900 µA, detector resolution 1024 × 1024 px, voxel size 119.43 µm, number of projections 1050, and integration time 2000 ms. This entire measurement process responds to the computer aided quality (CAQ) technology. VG studio MAX 3.0 software was used to evaluate the obtained data. The porosity of the parts with Z and XZ orientation was also evaluated for parts’ thicknesses of 1, 2, and 3 mm, respectively. It has been proven by this experimental investigation that the printing direction of the part in the additive manufacturing process under question affects its porosity.

scholarly journals Self-Configuring CVS to Discriminate Rocket Leaves According to Cultivation Practices and to Correctly Attribute Visual Quality Level

Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1353
Author(s):  
Michela Palumbo ◽  
Bernardo Pace ◽  
Maria Cefola ◽  
Francesco Fabiano Montesano ◽  
Francesco Serio ◽  
...  
Keyword(s):  
Fruits And Vegetables ◽  
Irrigation Management ◽  
Classification Performance ◽  
Quality Level ◽  
Cultivation Conditions ◽  
Computer Vision Systems ◽  
Soilless Cultivation ◽  
Fertilization Level ◽  
Non Destructive

Computer Vision Systems (CVS) represent a contactless and non-destructive tool to evaluate and monitor the quality of fruits and vegetables. This research paper proposes an innovative CVS, using a Random Forest model to automatically select the relevant features for classification, thereby avoiding their choice through a cumbersome and error-prone work of human designers. Moreover, three color correction techniques were evaluated and compared, in terms of classification performance to identify the best solution to provide consistent color measurements. The proposed CVS was applied to fresh-cut rocket, produced under greenhouse soilless cultivation conditions differing for the irrigation management strategy and the fertilization level. The first aim of this study was to objectively estimate the quality levels (QL) occurring during storage. The second aim was to non-destructively, and in a contactless manner, identify the cultivation approach using the digital images of the obtained product. The proposed CVS achieved an accuracy of about 95% in QL assessment and about 65–70% in the discrimination of the cultivation approach.

Non-destructive Inspection Method for Defects in Epoxy Resin by using THz Wave

2020 ◽  
Author(s):  
Rieko Mizuuchi ◽  
Yuji Hisazato ◽  
Hiroaki Cho ◽  
Yusuke Nakamura ◽  
Yuichi Sumimoto ◽  
...  
Keyword(s):  
Epoxy Resin ◽  
Inspection Method ◽  
Thz Wave ◽  
Non Destructive

Fast and non-destructive assessment of epitaxial quality of polycrystalline silicon films on glass by optical measurements

2004 ◽  
Vol 265 (1-2) ◽  
pp. 168-173 ◽  
Author(s):  
Axel Straub ◽  
Per I. Widenborg ◽  
Alistair Sproul ◽  
Yidan Huang ◽  
Nils-Peter Harder ◽  
...  
Keyword(s):  
Polycrystalline Silicon ◽  
Silicon Films ◽  
Optical Measurements ◽  
Polycrystalline Silicon Films ◽  
Non Destructive
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