Relevant bibliographies by topics / Inspection of dimensions

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Inspection of dimensions'

Author: Grafiati
Published: 28 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Inspection of dimensions"

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Šidiková, Michaela, Radek Martinek, Martina Ládrová, René Jaroš, Petr Bilík, Zdeněk Macháček, Lukas Snajdr, Vlastimil Slaný, and Ján Jobbágy. "Inspection of the Cogwheel Using Virtual Instrumentation." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 67, no. 6 (2019): 1493–501. http://dx.doi.org/10.11118/actaun201967061493.

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This paper deals with use of machine vision for the needs of automated inspections based on virtual instrumentation using a visualization tool named Vision Builder for Automated Inspection (VBAI) – National Instruments (NI). An application for camera tests of dimensions, shapes and presence is designed in experimental parts. This work is focused on the control, detection and distribution properties of internal holes.
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Knapp, Sabine, and Christiaan Heij. "Improved Strategies for the Maritime Industry to Target Vessels for Inspection and to Select Inspection Priority Areas." Safety 6, no. 2 (March 31, 2020): 18. http://dx.doi.org/10.3390/safety6020018.

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Inspection authorities such as the Port State Control Memoranda of Understanding use different policies and targeting methods to select vessels for inspections and rely primarily on past inspection outcomes. One of the main goals of inspections is to improve the safety quality of vessels and to reduce the probability of future incidents. This study shows there is room for improvement in targeting vessels for inspections and in determining vessel-specific inspection priority areas (e.g., bridge management versus machinery related items). For the year 2018, sixty percent of vessels that experienced very serious or serious (VSS) incidents were not selected for inspection up to three months prior to the incident and forty percent of the vessels that were inspected still had incidents of which only four percent were detained. Furthermore, one can observe a very low correlation (−0.04) between the probabilities of detention and incidents (VSS) for the year 2018. The proposed approach treats detention and incident types as separate risk dimensions and evaluates seven targeting methods against random selection of vessels using empirical data for 2018. The analysis is based on three comprehensive data sets that cover the world fleet and shows potential gains (reduction of false negative events) of 14–27 percent compared to random selection. This can be further improved by adding eight inspection priority risk areas that help inspectors to focus inspections by providing insight in the individual risk profile of vessels. Policy makers can further customize the approach by classifying the risk of vessels into categories and by selecting inspection targets and benchmark samples. A small application example is provided to demonstrate feasibility of the proposed approach for policy makers and inspection authorities.
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Tokuomi, Saeko, Kazuya Mori, and Akihiro Miura. "Remote-Controlled Visual Inspection Machine for Bridge Supports." Applied Mechanics and Materials 226-228 (November 2012): 1665–68. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.1665.

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We have developed a remote-controlled visual inspection machine for bridge supports. This inspection machine adheres to concrete structures using two sets of suction cups, and ascends by alternating movements of the two sets of suction cups. Attached to the inspection machine is a CCD video camera. Video data of the condition of bridge supports is transmitted wirelessly to the operator. The visual inspection machine can ascend vertical concrete structures and then inspect bridge supports by moving horizontally. The maximum height the machine is capable of inspecting is limited by the length of the power cables as well as the weight. It will be able to inspect higher bridge supports when the weight of power cables can be reduced. The weight and the dimensions of the testing machine are about 17 kg and 84 cm by 72cm, respectively
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Tsukada, Toshihiko, Kazunori Higuchi, Osamu Ozeki, and Shin Yamamoto. "Three-Dimensional Vision Sensor for Inspection of Painted Automotive Body Dimensions." IEEJ Transactions on Electronics, Information and Systems 113, no. 12 (1993): 1144–53. http://dx.doi.org/10.1541/ieejeiss1987.113.12_1144.

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Deng, Shanxi, Zhanyong Hong, Guoqiang Lv, and Yongyue Yang. "On-line inspection system for train wheel dimensions." Journal of Physics: Conference Series 13 (January 1, 2005): 171–73. http://dx.doi.org/10.1088/1742-6596/13/1/040.

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Protopopov, V. "Heterodyne polarimetry technology for inspection of critical dimensions." EPJ Web of Conferences 5 (2010): 02006. http://dx.doi.org/10.1051/epjconf/20100502006.

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Chen, Wen Hua, Shu Lin Wang, and Rui Hua You. "Analysis on Measurement Errors of Critical Dimensions of HSK Cone and its Application." Applied Mechanics and Materials 239-240 (December 2012): 611–16. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.611.

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The manufacture and assembly accuracy of the HSK taper inspection gauge directly influences the measurement precision. Take the large taper measuring head of the HSK-A63 taper inspection gauge as the research object, analyzed the measurement errors caused by its mounting position deviations, obtained corresponding formulas. Based on the structure of the inspection gauge and the moderate accuracy required by machinery manufacture and mechanical assembly, assigned value for each parameter, and the specific measurement errors were calculated. Guiding suggestions for the manufacture and assembly of the HSK taper inspection gauge were proposed.
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Prados Sesmero, Carlos, Luca Rosario Buonocore, and Mario Di Castro. "Omnidirectional Robotic Platform for Surveillance of Particle Accelerator Environments with Limited Space Areas." Applied Sciences 11, no. 14 (July 19, 2021): 6631. http://dx.doi.org/10.3390/app11146631.

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Intelligent robotic systems are becoming essential for inspections and measurements in harsh environments. This article presents the design of an omnidirectional robotic platform for tunnel inspection with spatial limitations. This robot was born from the need to automate the surveillance process of the Super Proton Synchrotron (SPS) accelerator of the European Organization for Nuclear Research (CERN), where there is remaining radiation. The accelerator is located within a tunnel that is divided by small doors of 400 × 200 mm dimensions, through which the robot has to cross. The designed robot brings a robotic arm, and the needed devices to carry out the inspection. Thanks to this design, the robot application may vary by replacing certain devices and tools. In addition, this paper presents the kinematic and dynamic control models for the robotic platform.
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Song, Haicheng, and Noritaka Yusa. "Experimental verification of improved probability of detection model considering the effect of sensor’s location on low frequency electromagnetic monitoring signals." International Journal of Applied Electromagnetics and Mechanics 64, no. 1-4 (December 10, 2020): 191–99. http://dx.doi.org/10.3233/jae-209322.

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Structural health monitoring (SHM) is a promising method for maintaining the integrity of structures. A reasonable approach is necessary to quantify its detection uncertainty by taking into account the effect of random sensor locations on inspection signals. Recent studies of the authors proposed a model that adopts Monte Carlo simulation to numerically obtain the distribution of inspection signals influenced by random sensor locations. This model can evaluate the effect not only of multiple defect dimensions but also of the placement of sensors on the detection uncertainty. However, its effectiveness has only been confirmed using pseudo-experimental signals generated by artificial pollution. This study aims to examine the effectiveness of the proposed model in quantifying the detection uncertainty of SHM methods using the experimental signals of low frequency electromagnetic monitoring for inspecting wall thinning in pipes. The results confirm the capability of the proposed model to correctly characterize the distribution of inspection signals affected by random sensor locations and to determine the reasonable probability of detection.
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Wang, Youli, Xiaohui Wang, Xueliang Zhang, and Jianmei Wang. "Establishment and application of an assembly dimension model based on shortest path." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, no. 3 (April 11, 2016): 525–33. http://dx.doi.org/10.1177/0954405416641595.

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This article presents a new approach for obtaining unique dimensioning for each part and building a full-dimension model of assembly dimensions by describing the formative paths of functional dimensions in an assembly. According to the structure and the functional dimensions of an assembly, as well as the principles that ‘the path should be the shortest’, ‘high precision should be given priority’ and ‘one surface can appear only once in the path graph’, the shortest path graph of the functional dimensions can be established first, ensuring that every functional dimension has minimum accumulative errors. The revised path graph is obtained by revising the shortest path graph according to structural characteristics, inspection and dimensioning regulation of parts. In this way, unique dimensioning is achieved for each part, and a full correlative dimension model can be established. A gearbox assembly and a ball screw assembly are used to verify the proposed method, but this article discusses only the assembly that is generally located in a certain direction. Over-location, planar or spatial assemblies require further research.
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Dissertations / Theses on the topic "Inspection of dimensions"

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Hřib, Jan. "Automatizovaný systém pro skenování konstrukčních dílů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442450.

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The aim of this thesis is to design an automated scanning system for components for the purpose of inspecting their dimensions and tolerances. The theoretical introduction provides the reader with basic information on the topic of 3D scanning. The work also includes the design of own scanning system. The greatest attention is paid to the design of a program using the PCL library. The aim of the program is automatic processing of data from a 3D scanner and evaluation of the required dimensions of the scanned component. The final part of the work is devoted to testing the proposed solution.
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Ferguson, Bradley Stuart. "Three dimensional T-Ray inspection systems /." Title page, Table of contents and abstract only, 2004. http://web4.library.adelaide.edu.au/theses/09PH/09phf3521.pdf.

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Chung, Kyung Ho. "Application of Augmented Reality to Dimensional and Geometric Inspection." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/26326.

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Ensuring inspection performance is not a trivial design problem, because inspection is a complex and difficult task that tends to be error-prone, whether performed by human or by automated machines. Due to economical or technological reasons, human inspectors are responsible for inspection functions in many cases. Humans, however, are rarely perfect. A system of manual inspection was found to be approximately 80-90% effective, thus allowing non-confirming parts to be processed (Harris & Chaney, 1969; Drury, 1975). As the attributes of interest or the variety of products increases, the complexity of an inspection task increases. The inspection system becomes less effective because of the sensory and cognitive limitations of human inspectors. Any means that can support or aid the human inspectors is necessary to compensate for inspection difficulty.

Augmented reality offers a new approach in designing an inspection system as a means to augment the cognitive capability of inspectors. To realize the potential benefits of AR, however the design of AR-aided inspection requires a through understanding of the inspection process as well as AR technology. The cognitive demands of inspection and the capabilities of AR to aid inspectors need to be evaluated to decide when and how to use AR for a dimensional inspection.

The objectives of this study are to improve the performance of a dimensional inspection task by using AR and to develop guidelines in designing an AR-aided inspection system. The performance of four inspection methods (i.e., manual, 2D-aided, 3D-aided, and AR-aided inspections) was compared in terms of inspection time and measurement accuracy. The results suggest that AR might be an effective tool that reduces inspection time. However, the measuring accuracy was basically the same across all inspection methods. The questionnaire results showed that the AR and 3D-aided inspection conditions are preferred over the manual and 2D-aided inspection. Based on the results, four design guidelines were formed in using AR technology for a dimensional inspection.
Ph. D.

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Pendse, Nachiket Vishwas. "An effective dimensional inspection method based on zone fitting." Texas A&M University, 2004. http://hdl.handle.net/1969.1/3239.

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Coordinate measuring machines are widely used to generate data points from an actual surface. The generated measurement data must be analyzed to yield critical geometric deviations of the measured part according to the requirements specified by the designer. However, ANSI standards do not specify the methods that should be used to evaluate the tolerances. The coordinate measuring machines employ different verification algorithms which may yield different results. Functional requirements or assembly conditions on a manufactured part are normally translated into geometric constraints to which the part must conform. Minimum zone evaluation technique is used when the measured data is regarded as an exact copy of the actual surface and the tolerance zone is represented as geometric constraints on the data. In the present study, a new zone-fitting algorithm is proposed. The algorithm evaluates the minimum zone that encompasses the set of measured points from the actual surface. The search for the rigid body transformation that places the set of points in the zone is modeled as a nonlinear optimization problem. The algorithm is employed to find the form tolerance of 2-D (line, circle) as well as 3-D geometries (cylinder). It is also used to propose an inspection methodology for turbine blades. By constraining the transformation parameters, the proposed methodology determines whether the points measured at the 2-D cross-sections fit in the corresponding tolerance zones simultaneously.
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Cheetham, Andrew. "Simulation of a multi-dimensional pattern classifier." Thesis, Nottingham Trent University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297128.

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Lloyd, Timothy Brian. "Surface extraction from coordinate measurement data to facilitate dimensional inspection." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/15815.

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Wander, Joseph M. "The application of Moire interferometry to automated 3-dimensional inspection." Thesis, Massachusetts Institute of Technology, 1985. http://hdl.handle.net/1721.1/15264.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1985.
MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING.
Includes bibliographical references.
by Joseph M. Wander.
M.S.
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Morton, Carrie A. (Carrie Anne). "A collaborative tool for the inspection of three dimensional design." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43378.

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Rajkumar, Devaraj. "Decomposition of measured contours into geometric features for dimensional inspection." PDXScholar, 1990. https://pdxscholar.library.pdx.edu/open_access_etds/4149.

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Image processing systems used in Vision Assisted Dimensional Inspection usually output a set of boundary pixels representing the part edges. This boundary information must be divided into several subsets representing the various edges of the actual object, so that comparisons with the nominal part can be made. The purpose of this project is to devise a method to divide the set of pixels obtained from the image processing system into subsets of pixels. Each of these subsets represent an edge in the contour of the actual object. This method must also detect transition points between the adjacent features. This project addresses only planar contours which are composed of straight and circular edges. Two new algorithms have been developed, the first algorithm detects the transition points involving straight edges and the second algorithm finds the transition points when circular features are involved. In addition, the measured features are also matched with their nominal counterparts. The performance of these algorithms are demonstrated by simulated as well as images from the vision system.
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Marshall, Andrew David. "The automatic inspection of machined parts using three-dimensional range data and model based matching techniques." Thesis, Cardiff University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.254595.

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Books on the topic "Inspection of dimensions"

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Inspection and measurement in manufacturing: Keys to process planning and improvement. Dearborn, MI: Society of Manufacturing Engineers, 1996.

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Department, Buckinghamshire (England) Education. Before and after: OFSTED inspection - the human dimension. Oxford: National Primary Centre, 1996.

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R, Martin R., ed. Computer vision, models, and inspection. Singapore: World Scientific, 1992.

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Mahon, J. Three-dimensional inspection of solder paste on surfacemount printed circuit boards. Dublin: Trinity College, Department of Computer Science, 1991.

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Education, Council for Environmental. Evaluating and inspecting the environmental dimension: A checklist for schools. London: Council for Environmental Education, 1999.

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Foundation, Canadian Comprehensive Auditing. A New dimension to reliance on internal auditing in Canada. Ottawa: The Foundation, 1986.

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Beraldin, Jean Angelo. Three-dimensional imaging, interaction, and measurement: 24-27 January 2011, San Francisco, California, United States. Bellingham, Wash: SPIE, 2011.

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Huang, Peisen S. Two- and three-dimensional methods for inspection and metrology V: 11-12 September 2007, Boston, Massachusetts, USA. Edited by Society of Photo-optical Instrumentation Engineers. Bellingham, Wash: SPIE, 2007.

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Huang, Peisen S. Two- and three-dimensional methods for inspection and metrology VI: 10-11 August 2008, San Diego, California, USA. Edited by SPIE (Society). Bellingham, Wash: SPIE, 2008.

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Huang, Peisen S. Optical inspection and metrology for non-optics industries: 3-4 August 2009, San Diego, California, United States. Edited by SPIE (Society). Bellingham, Wash: SPIE, 2009.

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Book chapters on the topic "Inspection of dimensions"

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Conejo, Alberto N. "Inspection Method." In Fundamentals of Dimensional Analysis, 95–97. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1602-0_9.

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Fresquet, Gilles, Jean-Philippe Piel, Sylvain Perrot, Hideo Takizawa, Osamu Sato, Allen Gu, Michael Feser, Bruce Johnson, Raleigh Estrada, and Yoshitaka Tatsumoto. "Metrology and Inspection." In Three-Dimensional Integration of Semiconductors, 167–200. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18675-7_6.

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Bickel, G., G. Häusler, and M. Maul. "Three-Dimensional Inspection of Large Objects." In Optical Metrology, 20–23. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3609-6_3.

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Khoury, Henri A., Timothy R. Groves, and Christian H. Plougonven. "Product Dimensional Metrology and Pattern Defect Inspection." In Microelectronics Manufacturing Diagnostics Handbook, 95–134. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2029-0_5.

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Requicha, Aristides A. G., and Steven N. Spitz. "Spatial Modeling and Reasoning for Automatic Dimensional Inspection." In From Geometric Modeling to Shape Modeling, 181–88. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35495-8_14.

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Ishii, Idaku. "Fast Three-Dimensional Shape Inspection Using a Multi-sided Mirror." In Integrated Imaging and Vision Techniques for Industrial Inspection, 177–99. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6741-9_6.

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Wang, Bingcheng, and Chang Jing. "Quantitative Inspection of Shear Mark Based on Lyapunov Dimension." In Lecture Notes in Electrical Engineering, 267–75. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6499-9_26.

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Barari, Adrita, N. V. S. Abhilash, Payanshi Jain, Ankit Sati, Karthik Sai Datta, and Chirag Jain. "Accurate Damage Dimension Estimation in AI Driven Vehicle Inspection System." In Communications in Computer and Information Science, 154–62. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8697-2_14.

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Sabbagh, Harold A., and L. David Sabbagh. "Numerical Electromagnetic Modeling for Three-Dimensional Inspection of Ferrous Metals." In Review of Progress in Quantitative Nondestructive Evaluation, 379–85. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4615-9421-5_43.

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Kolokoltsov, Vassili N., and Oleg A. Malafeyev. "Turnpikes for MFGs on Two-Dimensional Networks." In Many Agent Games in Socio-economic Systems: Corruption, Inspection, Coalition Building, Network Growth, Security, 147–73. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12371-0_8.

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Conference papers on the topic "Inspection of dimensions"

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Hanson, Steen G., Rene S. Hansen, and Bengt H. Hansen. "Compact system for measuring rotational speed in two dimensions." In Industrial Lasers and Inspection (EUROPTO Series), edited by Malgorzata Kujawinska and Wolfgang Osten. SPIE, 1999. http://dx.doi.org/10.1117/12.364245.

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Celano, Umberto, Kristof Paredis, Andrew Humphris, Matthew Tedaldi, Connor O'Sullivan, Patrick Hole, and Jenny Goulden. "An innovative probe microscopy solution for measuring conductivity profiles in 3-dimensions." In Metrology, Inspection, and Process Control for Semiconductor Manufacturing XXXV, edited by Ofer Adan and John C. Robinson. SPIE, 2021. http://dx.doi.org/10.1117/12.2583065.

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Chen, Ji-hua, and Yan-yun Jiang. "Single-image based dimensions inspection technology for planar industrial parts." In International Conference on Optical Instrumentation and Technology, edited by Shenghua Ye, Guangjun Zhang, and Jun Ni. SPIE, 2009. http://dx.doi.org/10.1117/12.837650.

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Forbes, Jim, and Tyler De Gier. "Nominal vs. Manufactured Chain Link Dimensions and the Implications on In-Service Inspection." In Offshore Technology Conference. Offshore Technology Conference, 2012. http://dx.doi.org/10.4043/23493-ms.

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Hermes, Zainab, Ashraf O. Nassef, and Lotfi K. Gaafar. "Optimal Camera Path Planning for the Inspection of Printed Circuit Boards Using a Two Stepped Optimization Approach." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28393.

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Automated Optical Inspection (AOI) systems are rapidly replacing slow and tedious manual inspections of Printed Circuit Boards (PCBs). In an AOI system, a minicamera traverses the PCB in a pre-defined travel path, snapping shots of all the PCB components or nodes, at pre-defined locations. The images are then processed and information about the different nodes is extracted and compared against ideal standards stored in the AOI system. This way, a flawed board is detected. Minimizing both the number of images required to scan all the PCB nodes, and the path through which the camera must travel to achieve this, will minimize the image acquisition time and the traveling time, and thus the overall time of inspection. This consequently both reduces costs and increases production rate. This work breaks down this problem into two sub-problems: The first is a clustering problem; the second a travelling salesman sequencing problem. In the clustering problem, it is required to divide all the nodes of a PCB into the minimum number of clusters. The cluster size is constrained by the given dimensions of the camera’s scope or Field of Vision (FOV). These dimensions determine the dimension of the inspection windows. It is thus required to find the minimum number of inspection windows that will scan all the nodes of a PCB, and their locations. Genetic algorithms are applied in a two-step approach with special operators suited for the problem. A continuous Genetic Algorithm (GA) is applied to find the optimum inspection window locations that cover one node and as many other nodes as possible. A discrete GA is then applied to eliminate redundant inspection windows leaving the minimum number of windows that cover all nodes throughout the PCB. In the second sub-problem, an Ant Colony Optimization (ACO) method is used to find the optimum path between the selected inspection windows. The method proposed in this paper is compared against relevant published work, and it is shown to yield better results.
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Payraudeau, Karl, Karim Zamoum, and Thierry Pasquier. "Reactor Pressure Vessel of Tricastin Unit 1 Core Zone Inspection: Comparison of Non-Destructive Examination Results Among Two Core Area Inspections Performed in 1999 and in 2003." In ASME/JSME 2004 Pressure Vessels and Piping Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/pvp2004-2977.

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As part of the unit aging follow-up, a non.destructive examination has been designed to inspect the core zone of the Reactor Pressure Vessel (RPV). This ultrasonic process called “VPM” has been developed and qualified by Intercontroˆle in accordance with EDF specifications. The qualification has been attested by an accredited qualification body. In 1999, the VPM process was used the first time during the in-service inspection of TRICASTIN, unit 1. As a result of the RPV core zone inspection a set of under cladding flaw indications was detected and characterized with the VPM process. These flaws have been analysed as planar manufacturing flaws. In 2003, 4 cycles later, during the TRICASTIN Unit 1 outage inspection, “VPM” was used to characterize again this set of flaw indications in order to verify their dimensions. The changes of the main characteristics (specially height) between both the inspections were compared to the process accuracy. No significant dimension change has been recorded.
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Chakrabarty, Subhajit, and Haim Levkowitz. "Denoising and Stability using Independent Component Analysis in High Dimensions – Visual Inspection Still Required." In 2019 23rd International Conference Information Visualisation (IV). IEEE, 2019. http://dx.doi.org/10.1109/iv.2019.00039.

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Bowman, Jonathan, Hugh Thompson, Donald Stevens, and James Crane. "Inspection Considerations for Deepwater Thick-Walled Riser Systems." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57100.

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The fatigue loading on deepwater risers results in the need to impose very tight weld acceptance criteria for pipe alignment and flaw sizes. The production of high-pressure, high-temperature reservoirs calls for increasingly thick-walled riser systems. The combination of thicker wall pipe and the maintenance of tight flaw acceptance criteria challenges automated ultrasonic testing (AUT) which is the primary method of riser weld inspection. An understanding of the limitations of the weld inspection system must be determined and accommodated as part of the engineering process and in conjunction with adequate knowledge of the pipe end dimensions can help optimize the inspection process. This paper discusses the challenges associated with the preparation for and inspection of thick-walled riser system welds and the impact this can have on the system design and engineering requirement. In support of the discussion an overview of a recent study to determine the detect-ability and sizing accuracy of an AUT system with thick-wall pipe girth welds is presented. The qualification program is based upon the AUT inspection of seeded defect welds which are subsequently cut into weld rings, re-inspected with an immersion scan and sectioned to determine the size of the flaws present. All AUT inspections are performed under similar conditions to the inspection of the production welds (i.e., no prior knowledge of the nature of the seeded welds).
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Ferreira, Juliana Jansen, and Vinícius Segura. "HCI evaluation with Cognitive Dimensions of Notations." In XVIII Simpósio Brasileiro de Fatores Humanos em Sistemas Computacionais. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/ihc.2019.8375.

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During the design and development of a technological artifact or when such artifact is already in the hands of users, an inspection method can help researchers and practitioners deal with not only usability issues, but also provide a common language to evaluate different design alternatives. The Cognitive Dimensions of Notations framework (CDNf) is a methodological resource designed to identify and discuss cognitive loads imposed by notations. In this six hour short course, we aim to talk about our experience with CDNf alone and combined with other HCI methods and to explore CDNf in practice with hands on activities to show participants how it can be a useful resource.
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Venkateswaran, Swaminath, Damien Chablat, and Pol Hamon. "Design of a Piping Inspection Robot by Optimization Approach." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22021.

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Abstract This article presents an optimization approach for the design of an inspection robot that can move inside variable diameter pipelines having bends and junctions. The inspection robot uses a mechanical design that mimics the locomotion of a caterpillar. The existing prototype developed at LS2N, France is a rigid model that makes it feasible for working only inside straight pipelines. By the addition of a tensegrity mechanism between motor units, the robot is made reconfigurable. However, the motor units used in the prototype are oversized to pass through pipe bends or junctions. An optimization approach is employed to determine the dimensions of motors and their associated leg mechanisms that can overcome such bends. Two optimization problems are defined and solved in this article. The first problem deals with the determination of motor sizing without leg mechanisms. The second problem deals with the determination of sizing of the leg mechanism with respect to the dimensions of motor units obtained from the first problem. A 3D model of the optimized robot design is then realized using CAD software.
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Reports on the topic "Inspection of dimensions"

1

Valdez, Lucas M. Uncertainty Budget Analysis for Dimensional Inspection Processes (U). Office of Scientific and Technical Information (OSTI), July 2012. http://dx.doi.org/10.2172/1047126.

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Rajkumar, Devaraj. Decomposition of measured contours into geometric features for dimensional inspection. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6033.

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Nashman, Marilyn, William Rippey, Tsai-Hong Hong, and Martin Herman. An integrated vision touch-probe system for dimensional inspection tasks. Gaithersburg, MD: National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.5678.

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Nashman, Marilyn. The use of vision and touch sensors for dimensional inspection tasks. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4839.

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Koeppe, Ralf. A comparative study of the performance of various image analysis methods for dimensional inspection with vision systems. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5814.

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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, May 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-consuming and expensive. The main objective of this study is to develop methods and algorithms to automate the post-processing of the visual sensor data towards the extraction of three main categories of information: 1) object information such as object identity, shapes, and spatial relationships - a novel heuristic-based method is proposed to automate the detection and recognition of main structural elements of steel girder bridges in both terrestrial and unmanned aerial vehicle (UAV)-based laser scanning data. Domain knowledge on the geometric and topological constraints of the structural elements is modeled and utilized as heuristics to guide the search as well as to reject erroneous detection results. 2) structural damage information, such as damage locations and quantities - to support the assessment of damage associated with small deformations, an advanced crack assessment method is proposed to enable automated detection and quantification of concrete cracks in critical structural elements based on UAV-based visual sensor data. In terms of damage associated with large deformations, based on the surface normal-based method proposed in Guldur et al. (2014), a new algorithm is developed to enhance the robustness of damage assessment for structural elements with curved surfaces. 3) three-dimensional volumetric models - the object information extracted from the laser scanning data is exploited to create a complete geometric representation for each structural element. In addition, mesh generation algorithms are developed to automatically convert the geometric representations into conformal all-hexahedron finite element meshes, which can be finally assembled to create a finite element model of the entire bridge. To validate the effectiveness of the developed methods and algorithms, several field data collections have been conducted to collect both the visual sensor data and the physical measurements from experimental specimens and in-service bridges. The data were collected using both terrestrial laser scanners combined with images, and laser scanners and cameras mounted to unmanned aerial vehicles.
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Borrett, Veronica, Melissa Hanham, Gunnar Jeremias, Jonathan Forman, James Revill, John Borrie, Crister Åstot, et al. Science and Technology for WMD Compliance Monitoring and Investigations. The United Nations Institute for Disarmament Research, December 2020. http://dx.doi.org/10.37559/wmd/20/wmdce11.

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The integration of novel technologies for monitoring and investigating compliance can enhance the effectiveness of regimes related to weapons of mass destruction (WMD). This report looks at the potential role of four novel approaches based on recent technological advances – remote sensing tools; open-source satellite data; open-source trade data; and artificial intelligence (AI) – in monitoring and investigating compliance with WMD treaties. The report consists of short essays from leading experts that introduce particular technologies, discuss their applications in WMD regimes, and consider some of the wider economic and political requirements for their adoption. The growing number of space-based sensors is raising confidence in what open-source satellite systems can observe and record. These systems are being combined with local knowledge and technical expertise through social media platforms, resulting in dramatically improved coverage of the Earth’s surface. These open-source tools can complement and augment existing treaty verification and monitoring capabilities in the nuclear regime. Remote sensing tools, such as uncrewed vehicles, can assist investigators by enabling the remote collection of data and chemical samples. In turn, this data can provide valuable indicators, which, in combination with other data, can inform assessments of compliance with the chemical weapons regime. In addition, remote sensing tools can provide inspectors with real time two- or three-dimensional images of a site prior to entry or at the point of inspection. This can facilitate on-site investigations. In the past, trade data has proven valuable in informing assessments of non-compliance with the biological weapons regime. Today, it is possible to analyse trade data through online, public databases. In combination with other methods, open-source trade data could be used to detect anomalies in the biological weapons regime. AI and the digitization of data create new ways to enhance confidence in compliance with WMD regimes. In the context of the chemical weapons regime, the digitization of the chemical industry as part of a wider shift to Industry 4.0 presents possibilities for streamlining declarations under the Chemical Weapons Convention (CWC) and for facilitating CWC regulatory requirements.
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Dimensional inspection planning based on product data standards. Gaithersburg, MD: National Institute of Standards and Technology, 1993. http://dx.doi.org/10.6028/nist.ir.5183.

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