Under the skin of polishing - from nano to macro
Lead Research Organisation:
University of Huddersfield
Department Name: Sch of Computing and Engineering
Abstract
This proposal brings together experts in complementary areas of physics, chemistry and engineering, to explore new science with potentially high practical impact.
Processing glass and similar materials to precise, polished surfaces is the "hidden gem" behind many products and services we take for granted - both in precise control of the distribution of light (e.g. anti-glare headlamps), or to focus light in imaging. From medical X-ray cameras to satellite optics, precise, smooth surfaces are required, with surface errors but small fractions of a micron (maybe 1/1000 the width of a human hair), with roughness down to a few atoms. Also, highly localised defects can scatter light, reducing contrast, or lead to component failure in high-power laser applications.
Polishing 'rubs' surfaces to remove damage from prior hard-grinding, and then controls surface-contours to meet design requirements. Historically, these steps were performed by highly-skilled craftspeople, who are in ever-shorter supply as they retire. Modern CNC machines now take much of the drudgery out, but even so, multiple polish/measure cycles are needed to reach refined levels of quality. The basic reason is that, after some 400 years of optical manufacture, the underlying 'rubbing' processes are still far from perfectly understood.
A practical setup typically deploys some kind of rotating tool, fed with a liquid slurry containing a fine abrasive powder. The tool moves over a glass surface, often with complex contours. Details of fluid-flow at the microscopic level between tool and glass are complex, and control local interactions of individual abrasive particles with the glass. Then, at the atomic ('nano') scale, chemical-attack, plastic-flow and brittle-fracture perform a complex 'dance', controlling how material is removed.
Prior work at various institutions has tended to focus on fluid flow OR nano-scale removal, representing distinct disciplines. But, modelling fluid-flow alone (computational fluid dynamics) omits chemistry and fracture-mechanics. Conversely, nano-scale molecular dynamics omits important fluid-flow issues. What nobody has done before, as we propose, is to combine these distinct approaches, supported by real-time process-monitoring data, and high-performance computing. Then CFD can provide molecular dynamics with predicted particle-trajectories, and particles in CFD can be treated as chemically-reactive rather than inert. The models can then by brought together in a unified large-scale and predictive macro model of removal-processes. Often, scientific breakthroughs arise at the INTERFACES between disciplines - precisely where this proposal focusses.
This model will be further developed through polishing trials of complete surfaces, drawing on real-time process-data to predict removal, and post-process measurement of what material has been removed where, plus any defects. This promises to reveal how a surface progresses in real-time, when it is smothered with slurry and invisible to direct inspection. Processes can then be tuned 'on the fly' to keep removal on-target, and improve accuracy of the result. Our aim is then to reduce the number of process cycles required, and give insight into why defects arise and how to control them.
In implementing the above, the mathematical and computer models developed at nano, micro and macro scales will describe fundamental aspects of molecules and fluids. This will be generally applicable, including different materials and abrasives. Another important application arises where the methods could be transformative - processes underlying materials wearing in mechanical systems (bearings, slide-ways, human joint-implants etc). So, what starts out as fundamental research into "intentional wear" in processes such as polishing, promises to have a profoundly significant impact on our understanding and control of "incidental wear" in things that rub - and wear-out - in everyday life!
Processing glass and similar materials to precise, polished surfaces is the "hidden gem" behind many products and services we take for granted - both in precise control of the distribution of light (e.g. anti-glare headlamps), or to focus light in imaging. From medical X-ray cameras to satellite optics, precise, smooth surfaces are required, with surface errors but small fractions of a micron (maybe 1/1000 the width of a human hair), with roughness down to a few atoms. Also, highly localised defects can scatter light, reducing contrast, or lead to component failure in high-power laser applications.
Polishing 'rubs' surfaces to remove damage from prior hard-grinding, and then controls surface-contours to meet design requirements. Historically, these steps were performed by highly-skilled craftspeople, who are in ever-shorter supply as they retire. Modern CNC machines now take much of the drudgery out, but even so, multiple polish/measure cycles are needed to reach refined levels of quality. The basic reason is that, after some 400 years of optical manufacture, the underlying 'rubbing' processes are still far from perfectly understood.
A practical setup typically deploys some kind of rotating tool, fed with a liquid slurry containing a fine abrasive powder. The tool moves over a glass surface, often with complex contours. Details of fluid-flow at the microscopic level between tool and glass are complex, and control local interactions of individual abrasive particles with the glass. Then, at the atomic ('nano') scale, chemical-attack, plastic-flow and brittle-fracture perform a complex 'dance', controlling how material is removed.
Prior work at various institutions has tended to focus on fluid flow OR nano-scale removal, representing distinct disciplines. But, modelling fluid-flow alone (computational fluid dynamics) omits chemistry and fracture-mechanics. Conversely, nano-scale molecular dynamics omits important fluid-flow issues. What nobody has done before, as we propose, is to combine these distinct approaches, supported by real-time process-monitoring data, and high-performance computing. Then CFD can provide molecular dynamics with predicted particle-trajectories, and particles in CFD can be treated as chemically-reactive rather than inert. The models can then by brought together in a unified large-scale and predictive macro model of removal-processes. Often, scientific breakthroughs arise at the INTERFACES between disciplines - precisely where this proposal focusses.
This model will be further developed through polishing trials of complete surfaces, drawing on real-time process-data to predict removal, and post-process measurement of what material has been removed where, plus any defects. This promises to reveal how a surface progresses in real-time, when it is smothered with slurry and invisible to direct inspection. Processes can then be tuned 'on the fly' to keep removal on-target, and improve accuracy of the result. Our aim is then to reduce the number of process cycles required, and give insight into why defects arise and how to control them.
In implementing the above, the mathematical and computer models developed at nano, micro and macro scales will describe fundamental aspects of molecules and fluids. This will be generally applicable, including different materials and abrasives. Another important application arises where the methods could be transformative - processes underlying materials wearing in mechanical systems (bearings, slide-ways, human joint-implants etc). So, what starts out as fundamental research into "intentional wear" in processes such as polishing, promises to have a profoundly significant impact on our understanding and control of "incidental wear" in things that rub - and wear-out - in everyday life!
Organisations
- University of Huddersfield (Lead Research Organisation)
- Shanghai Institute of Optics and Fine Mechanics (Collaboration)
- University of Agder (Collaboration)
- Kemet International (Collaboration)
- Science and Technologies Facilities Council (STFC) (Collaboration)
- Liverpool John Moores University (Collaboration)
- Corning Inc. (Collaboration)
- Corning (United States) (Project Partner)
- Glass Futures Ltd (Project Partner)
- Zeeko (United Kingdom) (Project Partner)
- Micro Materials (United Kingdom) (Project Partner)
- Science and Technology Facilities Council (Project Partner)
- Accretech SBS UK (Project Partner)
Publications
![publication icon](/resources/img/placeholder-60x60.png)
Darowski M
(2023)
Towards Data-Driven Material Removal Rate Estimation in Bonnet Polishing
![publication icon](/resources/img/placeholder-60x60.png)
Guoyu Yu
(2022)
Large Metal Mirrors for Atmospheric Telescopes
![publication icon](/resources/img/placeholder-60x60.png)
Hsing-Yu Wu
(2022)
Using interferometry to evaluate asphere for space optics'
![publication icon](/resources/img/placeholder-60x60.png)
Kumar S
(2023)
Investigation of surface imperfection in freeform optics with high-order XY polynomial design
in The International Journal of Advanced Manufacturing Technology
![publication icon](/resources/img/placeholder-60x60.png)
Walker D
(2023)
Bridging the Divide Between Iterative Optical Polishing and Automation
in Nanomanufacturing and Metrology
![publication icon](/resources/img/placeholder-60x60.png)
Wu H
(2024)
X-ray luminescence and characteristics of potassium-doped cesium iodide film
in Optical Materials
Description | The global core optics and photonics market has surpassed $300 billion p.a., with total revenues generated by all optics/photonics-enabled businesses and services representing over $2.5 trillion globally. Underlying this is the global requirement to take a piece of rough glass or similar material, polish it to a roughness of perhaps 1-2nm (~100-200 atoms) and control the overall surface form to an accuracy in the region of tens to hundreds of nanometres. Even using modern computer controlled machines, glass-polishing is still limited in its predictability, not least because the fundamental material-removal mechanisms remain poorly understood. Consequently, polishing glass, and correcting measured form-errors, always requires multiple cycles of measure => polish => measure, hopefully converging on the required specification. Furthermore, it is not uncommon for the surface to get worse in a particular run, for reasons not understood. Such uncertainties have a profound impact on the cost and time of manufacture, further amplified by the growing shortage of craftspeople in the trade. Moreover, current inefficiencies in processing demand additional resource in terms of electricity, water, and consumption of the rare-earth abrasive cerium oxide. The purpose of this project was to get "under the skin" of the problem, by conducting fundamental research into the detailed mechanisms behind polishing optical glass, both on large ('macro') and microscopic ('nano') scales. The former relates to modelling how a water slurry of abrasive particles moves the particles through the interface between the glass and a polishing tool. The latter is concerned with how the particles interact with the glass at molecular level, through both chemical attack and mechanical abrasion. This part of the project combined computational fluid dynamics to model slurry flows, with the results input to molecular dynamics models to calculate material-removal. As expected, this proved computationally extremely challenging, and the project made ample use of the supercomputer at the Hartree Centre at STFC-Daresbury . Such numerical models are dependent on competent experimental data. Therefore, process trials were conducted on computer controlled polishing machines equipped with the ability to monitor process-forces in real-time. The samples were then assessed to determine removal rates and surface textures achieved, using advanced surface-metrology instrumentation, some of which was developed within the project. This project was limited to a single - but important - removal regime:- the industry-dominant abrasive cerium oxide, polishing one chemically-simple glass-type fused silica. It has given quantitative results academically useful and publishable in their own right. Moreover, it also provides a sure foundation for further work planned, to extend the computational and experimental methods established to diverse glass-types used in science and industry. |
Exploitation Route | This was fundamental research which can be used by other academic workers in the field. To exploit the results commercially, the next step is to generalise the numerical modelling and experiments, over a wider range of glasses and similar materials, surface-geometries, tool-types, and abrasives. With this in view we are currently preparing a Programme Grant submission. |
Sectors | Aerospace Defence and Marine Digital/Communication/Information Technologies (including Software) Energy Environment Manufacturing including Industrial Biotechology |
Description | Capital investment in an Instrument to Measure Particle Size Distribution (PSD) |
Amount | £34,954 (GBP) |
Funding ID | ST/W005425/1 |
Organisation | Science and Technologies Facilities Council (STFC) |
Sector | Public |
Country | United Kingdom |
Start | 03/2022 |
End | 06/2022 |
Description | Capital investment in equipment for measuring complex objects |
Amount | £101,715 (GBP) |
Funding ID | ST/X004945/1 |
Organisation | Science and Technologies Facilities Council (STFC) |
Sector | Public |
Country | United Kingdom |
Start | 11/2022 |
End | 03/2023 |
Description | IAC collaboration |
Amount | € 14,458 (EUR) |
Funding ID | AAM003825 |
Organisation | Institute of Astrophysics of the Canary Islands |
Sector | Academic/University |
Country | Spain |
Start | 07/2022 |
End | 11/2022 |
Description | Super-polished Freeforms Optical Systems (SFOS) for industry and nuclear fusion, |
Amount | € 3,631,000 (EUR) |
Funding ID | 10086520 Innovate UK |
Organisation | Zeeko Ltd |
Sector | Private |
Country | United Kingdom |
Start | 12/2023 |
End | 11/2026 |
Description | Under the skin of polishing - from nano to macro |
Amount | £522,021 (GBP) |
Funding ID | EP/V029304/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 06/2021 |
End | 12/2024 |
Title | Bespoke six-axis force-measuring fixture |
Description | This is a custom-designed unit to measure the absolute forces and torques, from DC to circa 200 Hz frequency range, in CNC polishing and similar processes. It was designed in our laboratory as a collaboration with an academic visitor from the Fine Optical Engineering Research Center, Chengdu. It was then manufactured by that Institute and delivered to us for assessment and calibration. That work is currently in progress, in collaboration with the University of Agder, Norway. They are using a machine learning rather than analytical technique. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2022 |
Provided To Others? | Yes |
Impact | It is too early for impact, as the unit is currently in the commissioning phase, and will require calibration before final use. It will provide unique, real-time, process data for basic research in the underlying mechanisms of material removal, and machine learning algorithms to improve process-convergence. |
Title | Deflectometry for surface-metrology |
Description | Construction in our laboratory of a bespoke optical deflectometry test system, for measuring surface forms of regular and complex optical surfaces. Such metrology data essential for closing the process-loop in optical polishing, and relating the onset of surface-artefacts to measurable in-process data acquired. Such diagnostic information is vital to developing an understanding of the chemical/mechanical removal mechanism is at the nano and micro scale. The work includes an infrared equivalent of the above, for measuring rough surfaces (e.g. after grinding and polishing) when they are not capable of forming an optical image. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2023 |
Provided To Others? | Yes |
Impact | This has led to a a collaboration with the Institute of Astronomy, Canary Islands (IAC), under which IAC provided the principal hardware free of charge for our group to develop the optical and IR deflectometry tests. At the end of the project, a version of the test will be supplied to IAC, and another retained in our laboratory. IAC has arranged for two of their staff to spend several months in our laboratory from March 2023. Working with our staff, they will use our optical manufacturing machines to produce prototype lenses for a new astronomical spectrograph for a large telescope. These lenses contain surfaces that are "free forms", which are difficult to measure. The defectometry test is the measurement method of choice for this application. |
Title | High-speed spindle |
Description | Our collaborator Zeeko Ltd has provided a high-speed (up to 35,000RPM) grinding spindle, which we have adapted to be carried by one of our industrial robots. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2022 |
Provided To Others? | No |
Impact | The high-speed is required for effective use of the compliant Shape Adaptive Grinding tools, which conform to complex surface-contours, and deliver low levels of sub-surface-damage. This gives the optimum input conditions for polishing trials. Current status is that we are optimising the software configuration of the robot to minimise tracking errors as it traverses a complex part. This facility is also required for an STFC project in polishing moulds and dies, and human joint and cranial implants. Cranial samples have just been delivered us. |
Title | Slurry Management data-logging system |
Description | Optical polishing is a process that proceeds blind - there is no way to measure the surface whilst it is being processed, because it is completely obscured by abrasive slurry. In order to understand fundamental processes at work in removing material on a piece of glass undergoing optical polishing, more indirect methods are required; specifically accumulation of real-time process-data. This data comprises forces, torques and, in the context of this record, properties of the abrasive slurry being used. We have therefore taken a commercial recirculating slurry management tank and system, and added real-time sensor technologies and data-lodging hardware/software to record slurry temperature, pH and particle size distribution every few seconds. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2023 |
Provided To Others? | Yes |
Impact | This is work in progress, but within the period of the EPSRC project, we are optimistic the real-time data-modelling will provide meaningful results underpinning the CFD and MD modelling by our collaborators on the Huddersfield-campus, and LJMU, respectively. |
Title | Data for polishing and associated processes |
Description | Data on polishing, grolishing and metrology results for a wide range of removal technologies, and operating parameters, including deployment on CNC polishing machines and robots, and using both free and bound abrasives. |
Type Of Material | Database/Collection of data |
Year Produced | 2022 |
Provided To Others? | No |
Impact | This data is the bedrock on which we are researching advanced ultra-precision surface techniques, and methods of process automation. It is also being used in processing real components, for example work on the lenses the Institute of Stormy Canary Islands, will start March 2023 |
Description | Collaboration with Corning, Inc. (USA) |
Organisation | Corning Inc. |
Country | United States |
Sector | Private |
PI Contribution | Engagement with Corning researchers and presentation of research at the Corning Research Symposium, combined with joint research on antimicrobial glasses. |
Collaborator Contribution | Provision of samples, expertise, attendance at meetings and input into ongoing research, in addition to a joint publication. |
Impact | Journal paper: Antimicrobial Fe2O3-CuO-P2O5 glasses, Alexandra L. Mitchell, Sung Hoon Lee, David J. McEnroe, Eric L. Null, Daniel A. Sternquist, Kathryn A. Hufziger, Brian J. Rice, Alex Scrimshire, Paul A. Bingham, and Timothy M. Gross, Sci Rep. 2023; 13: 17472. |
Start Year | 2022 |
Description | Kemet Ltd collaboration |
Organisation | Kemet International |
Country | United Kingdom |
Sector | Private |
PI Contribution | We assessed a competitor's polishing compound and found it crystallized out in use, causing damage to equipment. We introduced Kemet to the special needs of CNC and robotic corrective polishing using small tools and progressive tool-paths. This was very different from their previous experience using large lapping plates, where tool and part are always in full contact. We tested a particular Kemet abrasive optimised for bare-aluminium and provided results back. It proved highly effective, but too slow for small-tool corrective polishing. Kemet then developed a range of abrasives of different particle sizes, to increase removal rate. |
Collaborator Contribution | Development of optimised polishing media. |
Impact | Successful completion of LOCUS -CEOI project STFC IPS proposal submitted with Kemet, Feb 2020 Kemet launched new abrasive slurries for aluminium |
Start Year | 2016 |
Description | Mechanical design in support of the project. Development of machine-learning algorithms for process-optimisation. |
Organisation | University of Agder |
Country | Norway |
Sector | Academic/University |
PI Contribution | Computer aided design of a mechanical kinematic interface between our bespoke force-table and the CNC polishing machine. |
Collaborator Contribution | Negotiations with Norwegian industry for the manufacture of the interface, leading to its procurement in Norway. |
Impact | The mechanical interface is being subcontracted for manufacture, funded by the Norwegian University, to be made in Norway and delivered to our laboratory in the UK. The work on machine-learning algorithms is in its early stages of discussion, but is planned to get underway over the next year. |
Start Year | 2021 |
Description | Metrology software development |
Organisation | Shanghai Institute of Optics and Fine Mechanics |
Country | China |
Sector | Public |
PI Contribution | We have provided data to the collaboration, references to very relevant papers in the literature, and frequent MS-Teams progress meetings. |
Collaborator Contribution | The partner has written software to process the data from a deflectometry optical test setup, for us to use in our lab in support of the project. |
Impact | Data analysis software |
Start Year | 2021 |
Description | Molecular dynamics modelling |
Organisation | Liverpool John Moores University |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Our role in the collaboration is to provide real-time process monitoring data, and post process metrology data. |
Collaborator Contribution | Liverpool John Moores University is providing the molecular dynamics modelling effort in support of the Under The Skin Of Polishing project |
Impact | The acquisition of the data required for the molecular dynamics modelling has been significantly delayed due to COVID and partial lab closure. |
Start Year | 2021 |
Description | Supercomputer access and technical support |
Organisation | Science and Technologies Facilities Council (STFC) |
Department | Hartree Centre |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Our role is to provide in-process monitoring data. The acquisition of this data has been delayed due to very limited access to our laboratory due to COVID |
Collaborator Contribution | Hartree will provide supercomputer resource and technical assistance to the project, but this has not started yet. |
Impact | This collaboration is at the early stages of development, as the contribution from STFC Hartree requires digital process-data. The acquisition of that data has been delayed due to the very limited access to our laboratory due to COVID. |
Start Year | 2021 |
Title | Software for sensor data-acquisition |
Description | Real-time data-acquisition software for bespoke multiple process sensor-system |
Type Of Technology | Systems, Materials & Instrumental Engineering |
Year Produced | 2022 |
Impact | Enabling technology essential to underpin data-collection essential for the modelling activities of the partners. |
Description | Engagement with Academic Colleagues at University of Sheffield |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Postgraduate students |
Results and Impact | Meetings and Workshops, with mutual lab visits and seminars, to engage in collaborative research with University of Sheffield colleagues and disseminate findings from the research relating back to previous grants, e.g. CarboGlass. |
Year(s) Of Engagement Activity | 2023,2024 |
Description | Invited keynote presentation |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Invited keynote presentation to Euspen conference, "Mind the gap! What stands between optical manufacture and its automation?" |
Year(s) Of Engagement Activity | 2022 |
Description | Invited talk |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Undergraduate students |
Results and Impact | Lecture delivered to the students of the Harbin Institute of Technology Content was of a general nature, and related to the history, current practice in future of astronomical telescopes. |
Year(s) Of Engagement Activity | 2022 |
Description | Invited talk |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Invited talk of a general nature presented to the University of Shanghai for Science Technology Title, 'A career in optics research - a personal perspective' |
Year(s) Of Engagement Activity | 2021 |
Description | Invited talk |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | An invited talk tailored for this audience, delivered to the European Optical Society Advanced Manufacturing (EOSAM) conference. Title, 'A precise (or is it accurate?) introduction to:- Accuracy and Precision' Established a UK/European consortium to apply for Eureka funding to develop advanced optical manufacturing for fusion-energy |
Year(s) Of Engagement Activity | 2021 |
Description | Invited talk |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | Invited talk to a general audience of students and faculty of the University of Shanghai for Science and Technology. Title, 'A precise (or is it accurate?) introduction to:- Accuracy and Precision' A research collaboration is at the final stage of negotiation |
Year(s) Of Engagement Activity | 2021 |
Description | Lecture course |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Undergraduate students |
Results and Impact | Course of eight on-line lectures delivered to students of the Harbin Of Technology Topic - optical fabrication techniques |
Year(s) Of Engagement Activity | 2022 |
Description | Visiting professor |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Visiting Professor of Ultra Precision Surfaces, University of Shanghai for Science and Technology, 2023 |
Year(s) Of Engagement Activity | 2023 |