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Ensuring that industries generating billions of euros for the European economy are competitive in global markets relies on manufacturing quality products. This relies on rigorous measurements to ensure parts match specification, and often involves monitoring for chemical contamination either on the product itself or in the production environment. A robust measurement infrastructure with rigorous links to SI units is a key element in delivering production quality from researching new materials, to delivering components meeting specifications, to ensuring that the finished product is fit for purpose.
Complex manufacturing processes, such as those used to make semiconductors and high-power LEDs, rely on cleanroom production facilities where air quality is strictly controlled. As components shrink and production becomes more susceptible to extremely low contamination levels, improved monitoring methods are needed to reliably detect changes in air quality.
Semiconductor production relies on precise control during cleanroom manufacturing processes. Chemical spills can contaminate the air and reduce the effectiveness of these highly sensitive industrial processes, leading to parts being scrapped. As semiconductors become smaller, improved detection of extremely low levels of contamination in real time is needed to quickly identify traces of airborne chemicals and allow remedial action to sustain production efficiency and yield.
Understanding how engineered surfaces respond to friction is important in many applications where wear affects in-service performance. During friction measurements testing probes can create high temperatures at the point of contact with the material, affecting test accuracy. Developing ways to measure these temperatures will improve understanding of how friction affects surfaces in use, speeding the development of new products such as lighter weight vehicles and longer lasting mine drills.
Materials producers want to develop plastics with enhanced properties for new industrial applications. At the same time, they want to reduce environmental impact by recycling plastics into new products. Both goals make production more complex. To advance research into innovative and more environmentally friendly plastics, new methods are needed to better understand the dimensional and mechanical properties of plastics and how they change during their life.
Polymers offer advantages from reduced weight to precise shape manufacture and are widely used in many applications. However, their effective use in specialist precision products has been hampered by a lack of reliable data detailing their mechanical properties and small-scale surface features. Improvements to the profilometers used to measure polymers, and the data they provide would support their uptake in high value applications.
Precision manufacturing industries rely on highly precise cutting and milling tools - small chips or grooves in these can mean products fail to meet specification, leading to re-work costs and delays. Designing more durable tools requires an improved understanding of how surfaces wear in use. Accurate, non-contact measurement methods and 3D imaging will improve research into such surfaces, but these techniques require improved traceability to provide confidence in their use.
Materials and chemical producers require detailed knowledge of surface chemistry for research into new products. One way to understand a surface without damaging it is to bombard it with an electron beam, causing its atoms to emit characteristic X-rays enabling identification. The measurement of these must be precise as many elements emissions are close in energy – traceable reference materials will ensure instruments using this technique are stable and accurate.
Many innovative products - from touchscreens to solar panels to pharmaceuticals – utilise multiple organic layers to create complex functionality. New techniques have been developed to remove and measure layers individually enabling improved product development and assisting with quality assurance. However, manufacturers cannot be certain of the depth of layer being removed and new reference materials for these techniques are needed to increase uptake and remove a major barrier to innovation.
Manufacturing complex layered structures, for example drug delivery mechanisms on medical implants, relies on chemical interactions to deliver functionality. Advanced analysis methods confirm chemical layer performance at all stages of the production process from research through to confirming the quality of finished products. Complex functional layers are used in long-term medical implants but to optimise patient outcomes greater accuracy for analysis methods is needed.
Manufacturing complex layered structures for drug delivery mechanisms on medical implants, relies on chemical interactions to deliver functionality. Advanced analysis methods confirm chemical layer performance at all stages of the production process from research through to confirming the quality of products. Greater accuracy for surface chemical analyses is needed to ensure they work as expected and, in the case of medical devices, is essential for patient safety.
Manufacturers need to understand the surface properties of new materials and coatings before these can be incorporated into innovative products. However, a whole range of measurements are needed to fully characterise surfaces. This can be time consuming as often only a single parameter can be ascertained by an individual type of test. Therefore models relating different surface properties to each other are needed to deliver lifetime in-service performance predictions.
Nanomaterials have a range of desirable properties such as increased strength, high elasticity and electrical conductivity making them desirable for use in a large range of applications. These properties are being used to develop the next generation of products in the transport, energy and manufacturing industries. However, while the properties of nanomaterials are attractive, they are not always well understood, and manufacturers need standardised methods to assess their performance.
Manufacturers of nano-materials, such as those used in semiconductors and solar cells, need accurate tools for quality control. Knowing precisely where on a sample’s surface measurements are being made and having confidence in the results achieved are key to reliably characterising material properties. Atomic force microscopy has great potential for use in material science, but problems associated with extended measurement run times and instrument drift need to be overcome.
The world’s leading manufacturing companies, from IT to aerospace, need ever smaller, more precise parts. A barrier to such innovation is that, at this level of precision, process control instrumentation can be affected by small variations in temperature effecting the specification of end-products. By measuring ambient temperatures with ultra-sensitive thermometers, manufacturers will be able to identify links between machine inaccuracies and temperature fluctuations, and develop compensation methods to offset them.
The European electrical industry produces 700 billion euros worth of goods annually and employs four million people, making it one the EU’s largest industries. This sector has an excellent reputation for high quality and reliable products underpinned by compliance with the EUs Electromagnetic Compatibility Directive. An accreditation scheme enables labs to demonstrate compliance with the directive’s requirements but validating their testing requires improved methods to reliably confirm performance.
Modifying or controlling surface chemistry is important in new product development, quality control and research. This is particularly true where functionality of surfaces, thin films and interfaces are key to the application, such as organic solar cells and devices for medical diagnostics. Surface chemical analysis aims to provide quantitative elemental, chemical state and functional group information from the surface of materials, but requires comparable test data and improved measurement traceability.