Mark Quinn

Dr. Mark Quinn

University of Manchester
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 December 2011 in Sensors
Verified
Journal Article
Open access
PDF file
MQMark Quinn
Mark Quinn
LYLeichao Yang
Leichao Yang
KKKonstantinos Kontis
Konstantinos Kontis
There are numerous ways in which pressure-sensitive paint can be applied to a surface. The choice of substrate and application method can greatly affect the results obtained. The current study examines the different methods of applying pressure-sensitive paint to a surface. One polymer-based and two porous substrates (anodized aluminum and thin-layer chromatography plates) are investigated and compared for luminescent output, pressure sensitivity, temperature sensitivity and photodegradation. Two luminophores [tris-Bathophenanthroline Ruthenium(II) Perchlorate and Platinum-tetrakis (pentafluorophenyl) Porphyrin] will also be compared in all three of the substrates. The results show the applicability of the different substrates and luminophores to different testing environments.

24 August 2021 in Remote Sensing
Verified
Journal Article
Open access
PDF file
Ahmad AlsayedAhmad Alsayed
Ahmad Alsayed
Akilu Yunusa-kaltungoAkilu Yunusa-kaltungo
Akilu Yunusa-kaltungo
MQMark Quinn
Mark Quinn
Farshad ArvinFarshad Arvin
Farshad Arvin
Mostafa NabawyMostafa Nabawy
Mostafa Nabawy
The accuracy of stockpile estimations is of immense criticality to process optimisation and overall financial decision making within manufacturing operations. Despite well-established correlations between inventory management and profitability, safe deployment of stockpile measurement and inspection activities remain challenging and labour-intensive. This is perhaps owing to a combination of size, shape irregularity as well as the health hazards of cement manufacturing raw materials and products. Through a combination of simulations and real-life assessment within a fully integrated cement plant, this study explores the potential of drones to safely enhance the accuracy of stockpile volume estimations. Different types of LiDAR sensors in combination with different flight trajectory options were fully assessed through simulation whilst mapping representative stockpiles placed in both open and fully confined areas. During the real-life assessment, a drone was equipped with GPS for localisation, in addition to a 1D LiDAR and a barometer for stockpile height estimation. The usefulness of the proposed approach was established based on mapping of a pile with unknown volume in an open area, as well as a pile with known volume within a semi-confined area. Visual inspection of the generated stockpile surface showed strong correlations with the actual pile within the open area, and the volume of the pile in the semi-confined area was accurately measured. Finally, a comparative analysis of cost and complexity of the proposed solution to several existing initiatives revealed its proficiency as a low-cost robotic system within confined spaces whereby visibility, air quality, humidity, and high temperature are unfavourable.

2 January 2016
Verified
Conference Paper
Closed access
SLSimon Lawson
Simon Lawson
DGDoug Greenwell
Doug Greenwell
MQMark Quinn
Mark Quinn

1 November 2018 in Nuclear Engineering and Design
Verified
Journal Article
Closed access
Andrea CioncoliniAndrea Cioncolini
Andrea Cioncolini
JSJorge Silva-Leon
Jorge Silva-Leon
DCDennis Cooper
Dennis Cooper
MQMark Quinn
Mark Quinn
HIHector Iacovides
Hector Iacovides

1 May 2020 in AIAA Journal
Verified
Journal Article
Closed access
FBFederico Berto
Federico Berto
Ernesto BeniniErnesto Benini
Ernesto Benini
CWCiaras Wyatt
Ciaras Wyatt
MQMark Quinn
Mark Quinn
Hypersonic inlet buzz is investigated experimentally in a ramjet intake at Mach 5. A two-dimensional planar inlet featuring a double-compression ramp with 10 and 22° inclination to the freestream d...

20 April 2018 in Experiments in Fluids
Verified
Journal Article
Closed access
PDF file
SSShengxian Shi
Shengxian Shi
SXShengming Xu
Shengming Xu
ZZZhou Zhao
Zhou Zhao
XNXiaofu Niu
Xiaofu Niu
MQMark Quinn
Mark Quinn