New Geometrical Filtration for Ultra-Precision and Micro/Nano Manufactured Products
Lead Research Organisation:
University of Huddersfield
Department Name: Sch of Computing and Engineering
Abstract
In the last decade, the design and fabrication of high value, micro- and nanoscale devices (in photonics, telecommunication, aerospace, automotive, defence, biotech, medical and consumer applications) has gradually moved from academic research to industrial manufacturing sectors. Enabling technologies such as computing design technology and ultra-precision and micro/nano- manufacturing capabilities have facilitated the design of these components. However, a fundamental barrier to achieving the potential growth of these products is in providing the metrological infrastructure to measure and characterise these components with the required accuracy so that their manufacturing quality can be controlled. Enterprises that achieve high levels of quality control will secure a larger market share.This proposed two-year project attempts to provide tools to enable the geometrical characterisation of these ultra precision and micro/nano-scale products. The project will develop novel non-linear geometrical filtration techniques. It will focus on robust approaches for micro/nano geometrical features that cope with deterministic engineered surface features/structures, create fast accurate algorithms (implementation in the manufacture context) and reference algorithms (for establishing traceability to national metrology standards) for non-linear filtration, together with best practice guidance for their implementation and use.The consortium for the proposed project is comprised of the Surface Metrology Group (SMG) at the University of Huddersfield, the National Physical Laboratory (NPL, the UK's national metrology institute) and the instrumentation manufacturer Taylor Hobson Limited (TH). The three partners together address the requirements for innovation, development of the national measurement infrastructure, with emphasis on validated algorithms and software, and industrial relevance and applicability. The research will enable UK industry to establish new quality control systems for high-tech products and support the mission of the government for high-added value manufacture: 60% shorter throughput time; 60% shorter time to market and 50% reduction in product costs.
People |
ORCID iD |
Xiangqian Jiang (Principal Investigator) | |
L Blunt (Co-Investigator) |
Publications
Hilde Stephansen (Author)
(2012)
ISO/CD 16610-61 Geometrical product specifications (GPS) - Filtration - Part 61: Linear areal filters: Gaussian Filters
Holger Schnädelbach (Creator)
(2011)
ISO/TS 16610-21, Geometrical product specifications (GPS) - Filtration - Part 21: Linear profile filters: Gaussian filters
James Flewellen (Creator)
(2012)
ISO/CD 16610-60 Geometrical product specifications (GPS) - Filtration - Part 60: Linear areal filters: Basic Concepts
Jiang X
(2010)
Robust solution for the evaluation of stratified functional surfaces
in CIRP Annals
Xiangqian Jiang (Author)
(2010)
robust solution for the stratified functional surfaces
Zeng W
(2010)
Fast algorithm of the robust Gaussian regression filter for areal surface analysis
in Measurement Science and Technology
Zeng W
(2011)
A generalised linear and nonlinear spline filter
in Wear
Zeng W
(2011)
Roundness filtration by using a robust regression filter
in Measurement Science and Technology
Description | A number of types of approaches to robust analysis for Gaussian filters have been investigated. Focusing on influence functions and estimator designs that suitable for deterministic engineered surfaces and micro geometric featured surfaces. Have created fast numerical algorithms for robust Gaussian filters; concentrating on the optimised regression approach and its convergence criteria design; developing a thorough understanding of non-linear optimisation, stability, convergence and fast implementation properties. Have investigated a robust approach for spline filtering based on L-p approximation theory, developing fast algorithms to solve the associated optimisation problems. Have developed reference datasets based on theoretical models and from typical deterministic engineered surfaces and micro geometric featured surfaces and generate reference algorithms according to specifications from ISO standards. Have verified and validate the non-linear robust fast algorithms (both Gaussian and spline filters) using reference datasets, demonstrating their stability, reliability and efficiency. Have developed best practice guidance for the implementation of robust filtering techniques, together with case studies applied to different scale geometry measurement instruments and ultra precision and micro/nano manufactures. |
Sectors | Manufacturing/ including Industrial Biotechology |
Description | This two year research programme investigated the theory and techniques of the new generation of geometric "non-linear filtration", to establish novel characterisation techniques to enable ultra precision and micro/nano manufacturing process chains to respond flexibly and cost effectively for the production of high-added value ultra precision complex products and micro/nano products. The results generated by this research programme have been presented at international conference, 4 refereed Journal papers have been published, and two conference papers. More significantly, the knowledge derived from this research programme has been transferred to 4 international standards (ISO/TS16610-21, 60, 61, 70). The reference algorithms have been adpoted by the UK's Software Support for Metrology Programme and also been promoted through NPL's Measurement Network. In addition, the Good Practice Guide from this project was published on the NPL website. The results devied form this research programme have been integrated into Taylor hobson's (world leading instrument manufacturer) surface characterisation software and marked as an 'advanced software module' in their areal metrology software worldwide. |
Sector | Manufacturing/ including Industrial Biotechology |
Impact Types | Cultural |
Description | New generation of surfstand software |
Amount | £224,640 (GBP) |
Funding ID | 1070ENX014 |
Organisation | Rank Taylor Hobson Ltd |
Sector | Private |
Country | United Kingdom |
Start | 10/2009 |
End | 09/2012 |
Title | Reference algorithm of the robust filter |
Description | 1. Reference algorithm of the Linear Gaussian regression filter for profile surface 2. Reference algorithm of the Robust Gaussian regression filter for profile surface 3. Reference algorithm of the Linear Gaussian regression filter for areal surface 4. Reference algorithm of the Robust Gaussian regression filter for areal surface 5. Reference algorithm of the Linear Spline filter for profile surface 6. Reference algorithm of the Robust Spline filter for profile surface 7. Reference algorithm of the Linear Spline filter for areal surface 8. Reference algorithm of the Robust Spline filter for areal surface |
Type Of Material | Computer model/algorithm |
Provided To Others? | No |
Impact | Available to a collaborator under licence agreement. |
Description | National Physical Laboratory NPL |
Organisation | National Physical Laboratory |
Country | United Kingdom |
Sector | Academic/University |
Start Year | 2008 |
Description | Rank Taylor Hobson Ltd |
Organisation | Rank Taylor Hobson Ltd |
Country | United Kingdom |
Sector | Private |
Start Year | 2008 |
Title | Commercial software Licence(s) |
Description | License of commercial software (Licence Code : 112/3566-01, Taylor Hobson Limited): 1. Fast algorithm of the Linear Gaussian regression filter for profile surface analysis (To ultra software, Taylor-hobson) 2. Fast algorithm of the Robust Gaussian regression filter for profile surface analysis (To ultra software, Taylor-hobson) 3. Fast algorithm of the Linear Gaussian regression filter for areal surface analysis (To Talymap, Taylor-hobson) 4. Fast algorithm of the Robust Gaussian regression filter for areal surface analysis (To Talymap, Taylor-hobson) |
IP Reference | |
Protection | Copyrighted (e.g. software) |
Year Protection Granted | |
Licensed | Yes |
Impact | Collaboration opportunities. |
Title | Licence(s) pending (Final Report data) |
Description | Negotiations for license agreements on the commercial software 1. Fast algorithm of the linear Spline filter for profile surface analysis (To ultra software, Taylor-hobson) 2. Fast algorithm of the Robust Spline filter for profile surface analysis (To ultra software, Taylor-hobson) 3. Fast algorithm of the linear spline filter for areal surface analysis (To Talymap, Taylor-hobson) 4. Fast algorithm of the Robust spline filter for areal surface analysis(To Talymap, Taylor-hobson) |
IP Reference | |
Protection | Copyrighted (e.g. software) |
Year Protection Granted | |
Licensed | Yes |
Impact | Taylor Hobson use in the manufacture of their products, which are sold internationally. |
Title | open source software licence |
Description | The reference algorithms has been created and will be adopted by the UK's Software Support for Metrology Programme and also be promoted through NPL's Measurement Network. The traceable software derived from the reference algorithms are used to calibrate a wide range of commercial instrument software. This software is publicly available. The reference Algorithms are as follows: 1. Reference algorithm of the Linear Gaussian regression filter for profile surface 2. Reference algorithm of the Robust Gaussian regression filter for profile surface 3. Reference algorithm of the Linear Gaussian regression filter for areal surface 4. Reference algorithm of the Robust Gaussian regression filter for areal surface 5. Reference algorithm of the Linear Spline filter for profile surface 6. Reference algorithm of the Robust Spline filter for profile surface 7. Reference algorithm of the Linear Spline filter for areal surface 8. Reference algorithm of the Robust Spline filter for areal surface |
IP Reference | |
Protection | Copyrighted (e.g. software) |
Year Protection Granted | |
Licensed | Yes |
Impact | The Company has been able to use this software in the manufacture of their products, which are sold internationally. |
Title | commercial software for filtration |
Description | License of commercial software (Licence Code : 112/3566-01, Taylor Hobson Limited): 1. Fast algorithm of the Linear Gaussian regression filter for profile surface analysis (To ultra software, Taylor-hobson) 2. Fast algorithm of the Robust Gaussian regression filter for profile surface analysis (To ultra software, Taylor-hobson) 3. Fast algorithm of the Linear Gaussian regression filter for areal surface analysis (To Talymap, Taylor-hobson) 4. Fast algorithm of the Robust Gaussian regression filter for areal surface analysis (To Talymap, Taylor-hobson) |
Type Of Technology | Software |
Year Produced | 2010 |
Impact | Used in the manufacture of products at Taylor Hobson, which are sold internationally. |