Interior Illuminations

Date

2023-01-04T12:28:01Z

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Cranfield University

Department

Type

Image

ISSN

Format

Free to read from

Citation

Mcgregor, Jamie (2023). Interior Illuminations. Cranfield Online Research Data (CORD). Media. https://doi.org/10.17862/cranfield.rd.21815013.v1

Abstract

This image was gained from placing the head of a common LED torch into a 610 Xradia Versa System with an overall scan time of ~90 hours. By using a single high-resolution scan, a full 3D digital volume of the torch has been made which allows for us to view its inner components without damaging the object. Through analysing the data, it becomes clear which features represent the battery, circuitry, springs, buttons and aluminium within the torch. My PhD is centred around using X-Ray data to identify the defects and elements within metallic alloys for benefit to the quality control and manufacture processes. The use of these systems is both extremely time consuming and resourcefully expensive; being able to gain robust data from a single scan is invaluable for future research and efficiency.

Description

Software Description

Software Language

Github

Keywords

X-ray, Metrology, Uncertainty, DSDS22 Digital Image, DSDS22

DOI

10.17862/cranfield.rd.21815013.v1

Rights

CC BY 4.0

Relationships

Relationships

Supplements

Funder/s

Atomics Weapons Establishment, University of Manchester

Collections