Oluremi Ayotunde Olatunbosun

Dr. Oluremi Ayotunde Olatunbosun

Dept of Mechanical Engineering, The University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

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

Representative Publications

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1 September 2014 in Atmospheric Environment
Verified
Journal Article
Open access
MDManuel Dall'Osto
Manuel Dall'Osto
DBDavid C.S. Beddows
David C.S. Beddows
JGJohanna K. Gietl
Johanna K. Gietl
Oluremi Ayotunde OlatunbosunOluremi Ayotunde Olatunbosun
Oluremi Ayotunde Olatunbosun
XYXiaoguang Yang
Xiaoguang Yang
RHRoy M. Harrison
Roy M. Harrison
7 pages, 6 figures, 1 tableThere is a paucity of quantitative knowledge on the contributions of non-exhaust (abrasion and re-suspension) sources to traffic emissions. Abrasive emissions can be broadly categorised as tyre wear, brake wear and road dust/road surface wear. Current research often considers road dust and tyre dust as externally mixed particles, the former mainly composed of mineral matter and the latter solely composed of mainly organic matter and some trace elements. The aim of this work was to characterise tyre wear from both laboratory and field studies by using Aerosol Time-Of-Flight Mass Spectrometry (ATOFMS). Real-time single particle chemical composition was obtained from a set of rubber tyres rotating on a metal surface. Bimodal particle number size distributions peaking at 35nm and 85nm were obtained from SMPS/APS measurements over the range 6-20,000nm. ATOFMS mass spectra of tyre wear in the particle size range 200-3000nm diameter show peaks due to exo-sulphur compounds, nitrate, Zn and ions of high molecular weight (m/z>100) attributed to organic polymers. Two large ATOFMS datasets collected from a number of outdoor studies were examined. The former was constituted of 48 road dust samples collected on the roads of London. The latter consisted of ATOFMS ambient air field studies from Europe, overall composed of more than 2,000,000 single particle mass spectra. The majority (95%) of tyre wear particles present in the road dust samples and atmospheric samples are internally mixed with metals (Li, Na, Ca, Fe, Ti), as well as phosphate. It is concluded that the interaction of tyres with the road surface creates particles internally mixed from two sources: tyre rubber and road surface materials. Measurements of the tyre rubber component alone may underestimate the contribution of tyre wear to concentrations of airborne particulate matter. The results presented are especially relevant for urban aerosol source apportionment and PM2.5 exposure assessment. © 2014 Elsevier Ltd.Peer Reviewe

1 March 2017 in Applied Energy
Verified
Journal Article
Closed access
Quan ZhouQuan Zhou
Quan Zhou
WZWei Zhang
Wei Zhang
SCScott Cash
Scott Cash
Oluremi Ayotunde OlatunbosunOluremi Ayotunde Olatunbosun
Oluremi Ayotunde Olatunbosun
HXHongming Xu
Hongming Xu
GLGuoxiang Lu
Guoxiang Lu

8 December 2017 in IEEE Transactions on Industrial Informatics
Verified
Journal Article
Closed access
Quan ZhouQuan Zhou
Quan Zhou
YZYunfan Zhang
Yunfan Zhang
ZLZiyang Li
Ziyang Li
JLJi Li
Ji Li
HXHongming Xu
Hongming Xu
Oluremi Ayotunde OlatunbosunOluremi Ayotunde Olatunbosun
Oluremi Ayotunde Olatunbosun
This paper researches on a cyber-physical energy-saving control framework for a plug-in hybrid aircraft-towing tractor, in which, an online optimization methodology named the Online Swarm Intelligent Programming (OSIP) is proposed. The new methodology obtains real-time optimal control signals from the V2X network and the widely-used Charge Depleting/Charge Sustaining (CD/CS) strategy is upgraded to a more adaptive and intelligent level. The energy-flow of the hybrid aircraft-towing tractor with connectivity is firstly analysed and modelled for OSIP. The optimal control problem is then formulated as an online integer optimization and the OSIP algorithm based on Chaos-enhanced Accelerated Swarm Optimization (CAPSO) is developed to minimize the powertrain power loss in real-time. Finally, the advantages of the new energy management system are demonstrated and evaluated by hardware-in-the-loop testing. The results show that up to 17% fuel and 13% total energy loss can be saved via the proposed cyber-physical control.

12 November 2017 in Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Verified
Journal Article
Closed access
HAHamad Sarhan Aldhufairi
Hamad Sarhan Aldhufairi
Oluremi Ayotunde OlatunbosunOluremi Ayotunde Olatunbosun
Oluremi Ayotunde Olatunbosun
Future sustainability of road transportation will require substantial improvement in the efficient use of energy by road vehicles. As new technologies being deployed reduce total vehicle energy consumption, the contribution of tyre rolling resistance to total energy consumption continues to increase. For this reason tyre rolling-resistance is starting to drive the focus of many tyre developments nowadays. This is because the rolling-resistance can be responsible for 20–30% of the total vehicle fuel consumption. Thus, lowering the rolling-resistance would help to reduce the fuel consumption (i.e. CO2, NOx and hydrocarbon emissions) and hence improve the environment greatly given the large number of vehicles used globally. It is found that the primary source of the rolling-resistance is the tyre deformational behaviour (i.e. hysteresis damping) which can account for 80–95% of the total rolling-resistance. This paper reviews the state of the art in tyre design, research and development for lower rolling-resistance, with focus on the primary source for the rolling-resistance (i.e. mechanical hysteresis damping), from three perspectives: the structural lay-up; the dimensional features; and the materials compound(s) of the tyre.

1 March 2012 in Materials & Design (1980-2015)
Verified
Journal Article
Closed access
MBM. Behroozi
M. Behroozi
Oluremi Ayotunde OlatunbosunOluremi Ayotunde Olatunbosun
Oluremi Ayotunde Olatunbosun
WDW. Ding
W. Ding

1 December 2014 in Journal of Terramechanics
Verified
Journal Article
Closed access
Chongfeng WeiChongfeng Wei
Chongfeng Wei
Oluremi Ayotunde OlatunbosunOluremi Ayotunde Olatunbosun
Oluremi Ayotunde Olatunbosun