Category / Fusion themes

Revolutionising Industries: The Significance, Impacts, and Reliability of Nanocoatings

Application

Introduction:

Nanocomposite coatings, a ground-breaking development in materials science, have emerged as a transformative force across various industries. These coatings, with their unique properties and applications, hold immense promise for enhancing performance, reducing maintenance costs, and addressing critical global challenges. In this comprehensive review, we delve into the key significance of nanocoatings in a range of industries, their substantial impacts, and their reliability [1–4]. Furthermore, we explore how Professor Zulfiqar Khan is collaborating with generative AI and predict the potential benefits of this partnership for industry and contributions to new knowledge. This narrative aims to influence UK science and technology policy, attract funding, and foster new partnerships to drive innovation and competitiveness.

Application
  1. The Multifaceted Significance of Nanocoatings:

Nanocoatings in Cavitation and Beyond:

Nanocomposite coatings have brought transformative advantages to industries grappling with issues such as cavitation, corrosion, tribology, and fluid dynamics. They provide enhanced protection and resilience in the face of harsh operational conditions, including extreme temperatures, high pressures, corrosive environments, and minimal lubrication. The significance of nanocoatings lies in their ability to extend the lifespan and reliability of vital components and systems across multiple sectors.

Nanocoatings Addressing Global Challenges:

Industries today are confronted with pressing global challenges, such as energy efficiency, sustainability, and system durability. Nanocoatings offer innovative solutions to these challenges by optimising surfaces and interfaces through surface modifications and coatings. They play a pivotal role in enhancing energy efficiency, ensuring the reliability of systems, and promoting sustainability. These benefits are invaluable in the context of UK science and technology policy, which emphasises the transition to greener technologies and sustainable practices.

  1. The Impact of Nanocoatings:

Academic and Industrial Benefits:

The development and application of nanocoatings have not only enriched academic research but have also provided tangible industrial advantages. Researchers worldwide are actively engaged in studying several types of nanocomposites to create durable and energy-efficient coatings. This collaboration between academia and industry fosters innovation, encourages knowledge exchange, and accelerates the adoption of innovative technologies. It aligns with the UK’s vision of becoming a leader in innovation and technology development.

Experimental Advancements:

Professor Khan’s work exemplifies the impact of nanocoatings on the industry. His experiments with alumina, silicon carbide, zirconia, and graphene nanocomposite coatings have displayed their robustness under different conditions, including exposure to seawater. Such empirical evidence guides industry practitioners in selecting the right coatings for their specific applications, reducing maintenance costs, and ensuring system reliability.

III. Reliability of Nanocoatings:

Advanced Modelling and Predictive Tools:

One key aspect of nanocoatings’ reliability lies in the advanced modelling and predictive tools developed by researchers like Professor Khan. His cathodic blistering model (Khan-Nazir I) [5] and coating failure model (Khan-Nazir II) [6] offer a deeper understanding of coating behaviour under stress, wear, and corrosion. These models enable precise predictions of coating performance, which is crucial for industries seeking dependable solutions.

Lubrication Modelling:

Furthermore, lubrication modelling, which incorporates wear-corrosion and mechano-wear equations, investigates the influence of microstructural properties like porosity and surface stresses on the coefficient of friction (CoF). This is vital in ensuring the reliability of systems operating under various conditions, as reduced friction leads to increased durability.

  1. Collaboration with Generative AI:

Harnessing AI for Materials Discovery:

Professor Zulfiqar Khan’s collaboration with generative AI represents an exciting frontier in materials science. Generative AI can accelerate materials discovery by simulating and predicting the behaviour of nanocomposite coatings with unmatched speed and accuracy. By leveraging AI, researchers can design coatings tailored to specific industry needs, further enhancing their reliability and performance.

  1. Predicted Benefits and Contributions:

Industry Advancements:

The partnership between Professor Khan and generative AI holds the promise of revolutionising industries. Predictive modelling and AI-driven materials discovery will enable the creation of coatings that are not only more reliable but also more cost-effective to produce. This will stimulate innovation, reduce downtime, and boost competitiveness across sectors such as aerospace, automotive, energy, and manufacturing.

Contribution to New Knowledge:

The collaboration will undoubtedly contribute to new knowledge in materials science, computational modelling, and AI-driven materials discovery. This research can inform policy decisions and attract funding for initiatives aimed at harnessing AI for materials development. As the UK government seeks to position the nation as a global innovation hub, investments in cutting-edge research of this nature will be pivotal.

  1. Influencing UK Science & Technology Policy:

Nurturing Technological Leadership:

To influence UK science and technology policy, it is imperative to underscore the role of nanocoatings and AI-driven materials discovery in nurturing technological leadership. Emphasising the potential economic and environmental benefits of these innovations can encourage policymakers to prioritise investments in research and development.

Supporting Sustainable Practices:

Aligning nanocoatings with the UK’s sustainability goals is crucial. Highlighting how these coatings enhance the sustainability and reliability of systems can resonate with policymakers keen on promoting sustainable practices and technologies.

VII. Forging Partnerships:

It is essential to articulate the transformative impact of nanocoatings and AI collaborations on industry and the potential for significant contributions to knowledge. Presenting a clear roadmap for how investments will yield tangible results can attract the attention of funding bodies interested in fostering innovation.

Industry-Academia Synergy:

Lastly, forging partnerships between academia and industry is fundamental. Collaborations that integrate academic research with industry needs can ensure that innovations like nanocoatings find practical applications and drive economic growth.

In conclusion, nanocomposite coatings represent a pivotal advancement with far-reaching significance and impacts across industries. Professor Zulfiqar Khan’s collaboration with generative AI holds immense promise for further enhancing their reliability and performance. This partnership aligns with UK science and technology policy objectives, attracting funding and fostering collaborations that will drive innovation and competitiveness, positioning the UK as a global leader in materials science and technology.

Acknowledgement: This article is written in collaboration with GAI.

References

[1]       Nazir, M.H.; Khan, Z.A.; Saeed; Bakolas, V.; Braun,W.; Bajwa, R. Experimental analysis and modelling for reciprocating wear behaviour of nanocomposite coatings. Wear 2018, 416, 89–102. [CrossRef]

[2]       Nazir, M.H.; Khan, Z.A.; Saeed, A.; Siddaiah, A.; Menezes, P.L. Synergistic wear-corrosion analysis and modelling of nano composite coatings. Tribol. Int. 2018, 121, 30–44. [CrossRef]

[3]       Abdeen, D.H.; El Hachach, M.; Koc, M.; Atieh, M.A. A Review on the Corrosion Behaviour of Nanocoatings on Metallic Substrates. Materials 2019, 12, 210. [CrossRef] [PubMed]

[4]       Nazir, M.H.; Khan, Z.A.; Saeed, A.; Bakolas, V.; Braun,W.; Bajwa, R.; Rafique, S. Analyzing and Modelling the Corrosion Behavior of Ni/Al2O3, Ni/SiC, Ni/ZrO2 and Ni/Graphene Nanocomposite Coatings. Materials 2017, 10, 1225. [CrossRef]

[5]       Nazir, M.H.; Khan, Z.A.; Saeed, A.; Stokes, K. A model for cathodic blister growth in coating degradation using mesomechanics approach. Mater. Corros. 2016, 67, 495–503. [CrossRef]

[6]       Nazir, M.H.; Khan, Z.A. A review of theoretical analysis techniques for cracking and corrosive degradation of film-substrate systems. Eng. Fail. Anal. 2017, 72, 80–113. [CrossRef]

UK’s Carbon Emissions Progress

UK’s Carbon Emissions Progress

UK's Carbon Emissions Progress

UK’s Carbon Emissions Progress [stock image]

Advancing Towards a Sustainable Future: Evaluating the UK’s Carbon Emissions Progress and Energy Portfolio

Introduction:

Professor Zulfiqar Khan has been working in Energy Capture, Conversion and Storage for more than a decade which has led to significant outcomes for UK industry in terms of technological innovations to meet UK net zero targets and UNSDGs by agreed deadline.

In addition, energy efficiency in interacting systems and complex machines have been at the heart of Professor Khan’s research at BU. Machines and interacting systems use lubrication and therefore sustainability context is key to be taken forward into design considerations. Both the above themes have provided a platform for interdisciplinary research in collaboration with major UK and International Industry and HEIs partners.

Professor Khan has been collaborating with Generative AI in terms of clean energy and future goals to reduce our dependency on non-renewable energy technologies. Although, unlike his longstanding industry collaboration, his GAI partnership is in its initial stages, Professor Khan believes that there are opportunities to drive clean energy research forward to realise UK targets and UNSDGs in collaboration with GAI.

The United Kingdom has embarked on a transformative journey towards sustainable energy solutions, marked by its commitment to reducing carbon emissions and aligning with the United Nations Sustainable Development Goals (SDGs). This article presents a comprehensive overview of the UK’s current state of progress in carbon emissions reduction, its contributions to the UNSDGs, and the intricate details of its energy portfolio. The following brief article is written in collaboration with Generative AI.

Progress in Carbon Emissions Reduction:

Carbon Emissions Reduction Targets:

The UK’s resolute commitment to achieve Net Zero by 2050.

Noteworthy reduction of carbon emissions by 51% since 1990 levels by the year 2019.

Renewable Energy Sources:

A remarkable 48% of electricity generated from renewable sources in 2020. Continuous expansion of wind and solar energy capacity.

Energy Efficiency:

Implementing energy-efficient measures in both industrial sectors and households.

Contributions to UN Sustainable Development Goals (SDGs):

Affordable and Clean Energy (SDG 7):

The UK’s renewable energy sector has generated over 100 TWh of electricity, making a significant contribution to SDG 7.

Industry, Innovation, and Infrastructure (SDG 9):

Substantial investments exceeding £2.5 billion have been directed towards innovative energy capture and storage technologies, fostering economic growth while minimizing environmental impact.

Climate Action (SDG 13):

The UK’s remarkable carbon emissions reduction of 51% surpasses the SDG 13 target to combat climate change.

Challenges and Areas for Improvement:

Transportation Sector:

Electrification and the promotion of alternative fuels remain pivotal for addressing emissions in the transportation sector.

Energy Storage:

Enhancing energy storage solutions is imperative to address the intermittent nature of renewable energy sources effectively.

Carbon Capture, Utilisation, and Storage (CCUS) Technologies:

The development and integration of CCUS technologies for heavy industries are crucial for reducing carbon emissions further and aligning with climate goals.

The UK’s Energy Portfolio (2020):

Energy

Type/Technology

Energy Output

(TWh)

Energy Consumption

(TWh)

Natural Gas 338.6 465.3
Oil 143.8 231.5
Coal 2.3 9.1
Nuclear 55.9 61.8
Renewables

(Total)

132.3 283.1
Imports 7.4 N/A (included in total)

Market Share (2020):

Natural Gas: 38.5%

Oil: 16.4%

Coal: 0.3%

Nuclear: 7.9%Renewables (Total): 18.7%Imports: 3.6%

Interpretation:

Non-renewable sources still dominate the UK’s energy portfolio, comprising approximately 63% of energy output in 2020.

Natural gas is the largest contributor to both energy output and consumption.

The transition to renewable energy sources, particularly wind and biomass, is vital for reducing the UK’s carbon footprint.

Conclusion:

The United Kingdom’s commendable progress in carbon emissions reduction, aligned with UN SDGs, signifies a dedicated commitment to a sustainable future. While substantial headway has been made, addressing challenges in transportation, energy storage, and the integration of CCUS technologies is paramount. The UK continues to lead the path towards a low-carbon future by aligning policies with UN SDGs and promoting sustainable energy solutions.

An Appreciate Inquiry into NHS Maternity Services

 

 

Congratulation to Dr. Rachel Arnold and her Centre for Midwifery & Women’s Health research team on the publication yesterday of their paper ‘I might have cried in the changing room, but I still went to work’. Maternity staff balancing roles, responsibilities, and emotions of work and home during COVID-19: An appreciative inquiry [1].   This paper focuses on how to support staff and enhance their well-being in a small UK maternity service.  The underpinning methodological approach is appreciative inquiry using interviews with 39 maternity staff and four group discussions exploring meaningful experiences, values and factors that helped their well-being.

The key findings are that maternity staff members were highly motivated, managing a complex melee of emotions and responsibilities including challenges to professional confidence, mental health, family situation, and conflict between work-life roles. Despite staff shortages, a demanding workload, professional and personal turmoil, and the pandemic participants still found meaning in their work and relationships.  The authors go on to argue for a ‘whole person’ approach, since this approach provided insight into the multiple stressors and emotional demands staff faced. It also revealed staff resourcefulness in managing their professional and personal roles. They invested in relationships with women but were also aware of their limits – the need to be self-caring, employ strategies to switch-off, set boundaries or keep a protective distance.  Overall, the paper concludes hat staff’s well-being initiatives, and research into well-being, would benefit from adopting a holistic approach that incorporates home and family with work. Research on emotion regulation strategies could provide insights into managing roles, responsibilities, and the emotional demands of working in maternity services. Emotion regulation strategies could be included in midwifery and obstetric training.

This paper was proceeded by a more methodological paper on the application of Appreciative Inquiry in this study [2].

 

References:

  1. Arnold, R., Way, S., Mahato, P., van Teijlingen, E. (2023) “I might have cried in the changing room, but I still went to work”. Maternity staff managing roles, responsibilities, and emotions of work and home during COVID-19: an Appreciative Inquiry, Women & Birth (online first) 
  2. Arnold, R., Gordon, C., Way, S., Mahato, P., van Teijlingen, E. (2022) Why use Appreciative Inquiry? Lessons learned during COVID-19 in a UK maternity service, European Journal of Midwifery 6 (May): 1-7.

RED-Research & Enterprise Database

 

This session is aimed at all academics to provide an overview of the Research & Enterprise Database, including how to access the system, the information available to view, budget management via RED, and how to use RED to identify your supporting pre and post award officers.

The first, online session is on Tuesday 12th September, 15:30-16:00 and it will be repeated on a monthly basis.

You can find a suitable date and book your space here Introduction to RED

 

For any queries regarding this workshop, please contact Alex Morrison Post Award Programme Manager morrisona@bournemouth.ac.uk

Grant of international patent for invention at BU

It comes as a great news for both BU and academic staff that a major international patent has been granted by China National Intellectual Property Administration who have confirmed that it will record the grant of the patent right in the Patent Register, issue the patent certificate for invention, and announce the grant. The patent right shall take effect from the date of announcement, July 4, 2023.

This is a predictive and prognostic invention as a remote probing system to monitor corrosion of conductive or nonconductive coatings and subsurface degradation.

The EIS measurement is resistant to interference and has a high corrosion resolution which produces stable and reliable results. Protective properties of a coating can be learned from an impedance spectroscopy obtained via the measurement that reflects changes in the coating and at the interface of coating-substrate system.

Project lead Professor Zulfiqar Khan has congratulated their co-inventors Dr Mian Hammad Nazir and Dr Adil Saeed for their hard work, dedication and passion over the years. This is the result of years of collective work spanning over several research programmes, Professor Khan added.

This invention will enable, a diverse portfolio of industry sectors and applications in aerospace, automotive industry, shipyards, petrochemical, process, infrastructures, high value assets including Reinforced Concrete (RC) elements of marine structures such as piled jetties, marine installation, gas pipelines, motorways structures and mobile assets such as large vehicles, to monitor, predict and prognose a complex failure initiation and propagation mechanism in real time. This will result in significant cost savings, reducing downtime, enhancing reliability and service life.

Further details and media coverage with a short video about the background of work is available here.

Keywords: Condition monitoring, corrosion, coating, sensor, impedance, electrochemical, spectroscopy, materials, composites.

Successful “Fusion” molecular ecology workshop with Thomas Hardye School

A group of 12 sixth form students from Thomas Hardye School (THS) in Dorchester, an OFSTED outstanding school, visited Talbot Campus this week to take part in a molecular ecology workshop. The workshop was organized by Dr Demetra Andreou (dandreou@bournemouth.ac.uk) and Prof Genoveva Esteban (gesteban@bournemouth.ac.uk) from SciTech’s Department of Life and Environmental Sciences, in collaboration with Dr John Davy-Bowker (BU Visiting Fellow) and Dr Gloria Tapia from the River Laboratory (East Stoke, Wareham). The workshop is part of an ongoing Fusion project with Thomas Hardye School, funded by Rolls-Royce, that investigates invasive freshwater shrimps in Dorset. Prior to visiting BU, the sixth-form students collected river samples at the River Laboratory, isolated and identified the freshwater shrimps, and isolated the shrimps’ DNA, which was then sequenced. During the workshop, the students learned bioinformatics, handled the DNA sequences, and developed phylogenetic trees to investigate the potential origin of the invasive shrimps. The students will present their final findings at a symposium that will take place at Thomas Hardye School in the Autumn. Simon Lewis, Science teacher at THS and Leader of the Roll-Royce project, said: “The tour of your buildings and labs was very impressive and I know will have given the students a different perspective on what a science lab looks like and how different they are from a school environment. Meeting you both also really promotes the idea of Science as a future for them, meeting people they can relate to is so important and you gave such a positive idea of what science entails.“

Ageing and Dementia Research Forum – 29th June – Digital Health Coaching DIALOR

Details of the next ADRC ageing and dementia research forum are listed below. The forum is an opportunity for staff and PhD students to get together to chat about research and share experiences in a safe and supportive environment. Specific topics are discussed but there is also time for open discussion to mull over aspects of research such as project ideas and planning, ethical considerations and patient and public involvement.

Date, time, and campus Research areas
29th June 2023

15.00-15.45

BG601, Bournemouth Gateway

Lansdowne Campus

‘Digital health coaching for older people with frailty in Wessex (DIALOR) ’Rachel Christie

If you would like to discuss your research ideas at a future meeting, please email Michelle mheward@bournemouth.ac.uk

We look forward to seeing you there.

Ageing and Dementia Research Centre

BU and University of Cambridge Collaboration on Traffic Prediction

Bournemouth University (BU) has collaborated with the University of Cambridge on network wide road traffic prediction. The work, led by Dr. Wei Koong Chai in BU, address the problem of traffic prediction on large-scale road networks and propose a novel deep learning model, Virtual Dynamic Graph Convolution Neural Network and Transformer with Gate and Attention mechanisms (VDGCNeT), to comprehensively extract complex, dynamic and hidden spatial dependencies of road networks for achieving high prediction accuracy. The work advocates the use of a virtual dynamic road graph that captures the dynamic and hidden spatial dependencies of road segments in real road networks instead of purely relying on the physical road connectivity.

The team designed a novel framework based on Graph Convolution Neural Network (GCN) and Transformer to analyse dynamic and hidden spatial–temporal features. The gate mechanism is utilised for concatenating learned spatial and temporal features from Spatial and Temporal Transformers, respectively, while the Attention-based Similarity is used to update dynamic road graph.

Two real-world traffic datasets from large-scale road networks with different properties are used for training and testing the model. VDGCNeT is pitted against nine other well-known models in the literature. The results demonstrate that the proposed VDGCNeT is capable of achieving highly accurate predictions – on average 96.77% and 91.68% accuracy on PEMS-BAY and METR-LA datasets respectively. Overall, our VDGCNeT performs the best when compared against other existing models.

Reference:

G. Zheng, W. K. Chai, J. Zhang and V. Katos, “VDGCNeT: A novel network-wide Virtual Dynamic Graph Convolution Neural network and Transformer-based traffic prediction model,” Knowledge-based Systems, 110676, June 2023. DOI: https://doi.org/10.1016/j.knosys.2023.110676.

Using participatory asset mapping and PhotoVoice in Nepalese alcohol study

This week we received an email from the editorial office of  Perspectives in Public Health with congratulations on the acceptance of your paper ‘Participatory asset mapping and photovoice interviews to scope cultural and community resources to reduce alcohol harm in Chitwan, Nepal’ [1]The lead researcher on this public health alcohol research project in Nepal is Dr. Ranjita Dhital, Lecturer in Interdisciplinary Health Studies in the Arts and Sciences Department at UCL (University College London).

The World Health Organization (WHO) suggests that in low and middle-income countries (LMICs) like Nepal, morbidity and mortality risks are greater per litre of pure alcohol consumed than in higher-income countries. This is largely due to poverty, poor nutrition, adverse living conditions, and poor access to care. These inequities are made worse by the dearth of understanding of the most appropriate and cost-effective approaches to reduce alcohol-related harm in LMICs.  Our study aims to stimulate new thinking on how cultural and community assets could be integrated to co-designed alcohol interventions for future evaluation in LMICs, through scoping the breadth of cultural and community assets in relation to alcohol use and to exploring attitudes towards alcohol and people experiences with it.

The journal Perspectives in Public Health is published by SAGE and the paper will be Open Access when it appears online.  My previous alcohol studies have focused on students [2], Nepalese migrants living in the UK [3], and Public Health measures to reduced alcohol misuse in Scotland [4].

 

Prof. Edwin van Teijlingen

Centre for Midwifery & Women’s Health

 

Reference:

 

  1. Dhital, R., Yoeli, H., Adhikari, A., Luitel, N.P., Nadkarni, A., van Teijlingen, E., Sin, J. (2023) Participatory asset mapping and photovoice interviews to scope cultural and community resources to reduce alcohol harm in Chitwan, Nepal, Perspectives in Public Health (accepted).  DOI: 10.1177/17579139231180744).
  2. Engs, R.C, van Teijlingen E (1997) Correlates of alcohol, tobacco & marijuana use among Scottish post-secondary helping profession students, Journal of Alcohol Studies, 58:435-44.
  3. van Teijlingen E, Simkhada, P., Adhikary, P. (2009) Alcohol use among the Nepalese in the UK BMJ Rapid Response: bmj.com/cgi/eletters/339/oct20_1/b4028#223451
  4. Ludbrook A, Godfrey C, Wyness L, Parrott S, Haw S, Napper M, van Teijlingen E. (2002) Effective & Cost-Effective Measures to Reduce Alcohol Misuse in Scotland: Lit Review, ISBN: 0755932803 www.alcoholinformation.isdscotland.org/alcohol_misuse/files/MeasureReduce_Full.pdf