This book presents the select proceedings of the International Conference on Functional Material, Manufacturing and Performances (ICFMMP) 2019. The book covers broad aspects of several topics involved in the metrology and measurement of engineering surfaces and their implementation in automotive, bio-manufacturing, chemicals, electronics, energy, construction materials, and other engineering applications. The contents focus on cutting-edge instruments, methods and standards in the field of metrology and mechanical properties of advanced materials. Given the scope of the topics, this book can be useful for students, researchers and professionals interested in the measurement of surfaces, and the applications thereof.

This book gathers timely contributions on metrology and measurement systems, across different disciplines and field of applications. The chapters, which were presented at the 6th International Scientific-Technical Conference, MANUFACTURING 2019, held on May 19-21, 2019, in Poznan, Poland, cover cutting-edge topics in surface metrology, biology, chemistry, civil engineering, food science, material science, mechanical engineering, manufacturing, metrology, nanotechnology, physics, tribology, quality engineering, computer science, among others. By bringing together engineering and economic topics, the book is intended as an extensive, timely and practice-oriented reference guide for both researchers and practitioners. It is also expected to foster better communication and closer cooperation between universities and their business and industry partners.

Metrology and Properties of Engineering Surfaces provides in a single volume a comprehensive and authoritative treatment of the crucial topics involved in the metrology and properties of engineering surfaces. The subject matter is a central issue in manufacturing technology, since the quality and reliability of manufactured components depend greatly upon the selection and qualities of the appropriate materials as ascertained through measurement. The book can in broad terms be split into two parts; the first deals with the metrology of engineering surfaces and covers the important issues relating to the measurement and characterization of surfaces in both two and three dimensions. This covers topics such as filtering, power spectral densities, autocorrelation functions and the use of Fractals in topography. A significant proportion is dedicated to the calibration of scanning probe microscopes using the latest techniques. The remainder of the book deals with the properties of engineering surfaces and covers a wide range of topics including hardness (measurement and relevance), surface damage and the machining of brittle surfaces, the characterization of automobile cylinder bores using different techniques including artificial neural networks and the design and use of polymer bearings in microelectromechanical devices. Edited by three practitioners with a wide knowledge of the subject and the community, Metrology and Properties of Engineering Surfaces brings together leading academics and practitioners in a comprehensive and insightful treatment of the subject. The book is an essential reference work both for researchers working and teaching in the technology and for industrial users who need to be aware of current developments of the technology and new areas of application.

The subject of this book is surface metrology, in particular two major aspects: surface texture and roundness. It has taken a long time for manufacturing engineers and designers to realise the usefulness of these features in quality of conformance and quality of design. Unfortunately this awareness has come at a time when engineers versed in the use and specification of surfaces are at a premium. Traditionally surface metrology usage has been dictated by engineers who have served long and demanding apprenticeships, usually in parallel with studies leading to technician-level qualifications. Such people understood the processes and the achievable accuracies of machine tools, thereby enabling them to match production capability with design requirements. This synergy, has been made possible by the understanding of adherence to careful metrological procedures and a detailed knowledge of surface measuring instruments and their operation, in addition to wider inspection room techniques. With the demise in the UK of polytechnics and technical colleges, this source of skilled technicians has all but dried up. The shortfall has been made up of semi skilled craftsmen, or inexperienced graduates who cannot be expected to satisfy tradition al or new technology needs. Miniaturisation, for example, has had a pro found effect. Engineering parts are now routinely being made with nanometre surface texture and fiatness. At these molecular and atomic scales, the engineer has to be a physicist.

Advanced Metrology: Freeform Surfaces provides the perfect guide for engineering designers and manufacturers interested in exploring the benefits of this technology. The inclusion of industrial case studies and examples will help readers to implement these techniques which are being developed across different industries as they offer improvements to the functional performance of products and reduce weight and cost. Includes case studies in every chapter to help readers implement the techniques discussed Provides unique advice from industry on hot subjects, including surface description and data processing Features links to online content, including video, code and software

Advances in Optical Surface Texture Metrology covers the latest advances in the development of optical surface texture measuring instruments. Rather than concentrate on the basic principles of the optical measurement methods, this book takes a deeper dive into the operation of the instruments and the new application areas where they can be applied, with an emphasis on advanced manufacturing. Latest advances discussed will include the drive towards faster instruments for in-process applications, the ability to measure highly complex surfaces (in e.g. additive manufacturing) and advances in the use of machine learning to enhance data analysis. Part of IOP Series in Emerging Technologies in Optics and Photonics.