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Multisensor data fusion in dimensional metrology

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TLDR
Multisensor data fusion in dimensional metrology is used in order to get holistic, more accurate and reliable information about a workpiece based on several or multiple measurement values from one or more sensors.
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This article is published in CIRP Annals.The article was published on 2009-01-01. It has received 271 citations till now. The article focuses on the topics: Sensor fusion & Dimensional metrology.

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Citations
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Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing

TL;DR: In this paper, the state-of-the-art with respect to inspection methodologies compatible with additively manufactured (AM) processes is explored with the intention of identifying new avenues for research and proposing approaches to integration into future generations of AM systems.
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Manufacturing and measurement of freeform optics

TL;DR: Freeform optics is the next generation of modern optics, bringing advantages of excellent optical performance and system integration as mentioned in this paper, and finds wide applications in various fields, such as new energy, illumination, aerospace and biomedical engineering.
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Computed tomography for dimensional metrology

TL;DR: In this paper, a survey of the use of X-ray computed tomography (CT) for dimensional quality control purposes is presented, focusing on issues such as accuracy, traceability to the unit of length (the meter), and measurement uncertainty.
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Bulk forming of sheet metal

TL;DR: In this article, the authors define a new class of sheet-bulk metal forming processes, give an overview of the existing processes belonging to this class, highlight the tooling aspects as well as the resulting product properties and present a short summary of the relevant work that has been done towards modeling and simulation.
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Cutting edge geometries

TL;DR: A review of cutting edge preparation technologies and methods for cutting edge characterization can be found in this article, where the authors discuss the influence of cutting-edge geometry on chip formation, material flow, as well as mechanical and thermal loads on the tool.
References
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Journal ArticleDOI

A method for registration of 3-D shapes

TL;DR: In this paper, the authors describe a general-purpose representation-independent method for the accurate and computationally efficient registration of 3D shapes including free-form curves and surfaces, based on the iterative closest point (ICP) algorithm, which requires only a procedure to find the closest point on a geometric entity to a given point.
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Image registration methods: a survey

TL;DR: A review of recent as well as classic image registration methods to provide a comprehensive reference source for the researchers involved in image registration, regardless of particular application areas.
Journal Article

Practical cone-beam algorithm

TL;DR: In this article, a convolution-backprojection formula is deduced for direct reconstruction of a three-dimensional density function from a set of two-dimensional projections, which has useful properties, including errors that are relatively small in many practical instances and a form that leads to convenient computation.
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