The objective of this thesis is to create an open interface software system for an existing UPCMM (Ultra Precision Coordinate Measuring Machine) using the I++DME specification so that the machine can be operated not only by its own application software but also by any other I++DME compliant software. The I++DME is a relatively new interface specification proposed by an international committee in response to the interchangeability problem that exists between different CMM hardware and software available on the market. The UPCMM, a three axes Cartesian CMM, was developed and manufactured by KODAK for their specific measurement purposes and is a comparatively new member to the Center for Precision Metrology's CMM family. The controller for this UPCMM is made up of industry-standard components, but at this time no software exists that supports the I++DME specification for these components. The work contained in this thesis includes understanding the working principle of the UPCMM machine, performing basic measurement operations to determine the present measurement capability and writing an operating manual for other CMM users, in addition to developing the new interface software so that the UPCMM can be operated by any I++DME compliant software. At the conclusion of these tasks, basic measurements are performed using the new I++DME interface and the results are compared with measurements taken by the original software (DeltaTau). The correlation of these results is one indication of the successful implementation of the I++DME interface.

Dimensional metrology is an essential part of modern manufacturing technologies, but the basic theories and measurement methods are no longer sufficient for today's digitized systems. The information exchange between the software components of a dimensional metrology system not only costs a great deal of money, but also causes the entire system to lose data integrity. Information Modeling for Interoperable Dimensional Metrology analyzes interoperability issues in dimensional metrology systems and describes information modeling techniques. It discusses new approaches and data models for solving interoperability problems, as well as introducing process activities, existing and emerging data models, and the key technologies of dimensional metrology systems. Written for researchers in industry and academia, as well as advanced undergraduate and postgraduate students, this book gives both an overview and an in-depth understanding of complete dimensional metrology systems. By covering in detail the theory and main content, techniques, and methods used in dimensional metrology systems, Information Modeling for Interoperable Dimensional Metrology enables readers to solve real-world dimensional measurement problems in modern dimensional metrology practices.

Metrology is the science of measurements. As such, it deals with the problem of obtaining knowledge of physical reality through its quantifiable properties. The problems of measurement and of measurement accuracy are central to all natural and technical sciences. Now in its second edition, this monograph conveys the fundamental theory of measurement and provides some algorithms for result testing and validation.

This book offers a genuinely practical introduction to the most commonly encountered optical and non-optical systems used for the metrology and characterization of surfaces, including guidance on best practice, calibration, advantages and disadvantages, and interpretation of results. It enables the user to select the best approach in a given context. Most methods in surface metrology are based upon the interaction of light or electromagnetic radiation (UV, NIR, IR), and different optical effects are utilized to get a certain optical response from the surface; some of them record only the intensity reflected or scattered by the surface, others use interference of EM waves to obtain a characteristic response from the surface. The book covers techniques ranging from microscopy (including confocal, SNOM and digital holographic microscopy) through interferometry (including white light, multi-wavelength, grazing incidence and shearing) to spectral reflectometry and ellipsometry. The non-optical methods comprise tactile methods (stylus tip, AFM) as well as capacitive and inductive methods (capacitive sensors, eddy current sensors). The book provides: Overview of the working principles Description of advantages and disadvantages Currently achievable numbers for resolutions, repeatability, and reproducibility Examples of real-world applications A final chapter discusses examples where the combination of different surface metrology techniques in a multi-sensor system can reasonably contribute to a better understanding of surface properties as well as a faster characterization of surfaces in industrial applications. The book is aimed at scientists and engineers who use such methods for the measurement and characterization of surfaces across a wide range of fields and industries, including electronics, energy, automotive and medical engineering.

Metrology and Instrumentation: Practical Applications for Engineering and Manufacturing provides students and professionals with an accessible foundation in the metrology techniques, instruments, and governing standards used in mechanical engineering and manufacturing. The book opens with an overview of metrology units and scale, then moves on to explain topics such as sources of error, calibration systems, uncertainty, and dimensional, mechanical, and thermodynamic measurement systems. A chapter on tolerance stack-ups covers GD&T, ASME Y14.5-2018, and the ISO standard for general tolerances, while a chapter on digital measurements connects metrology to newer, Industry 4.0 applications.