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Additive Manufacturing provides an important enabling technology for the digital transformation of the economy. As an emerging technology it has seen a remarkable development over the last three decades. Nevertheless, it is far from a broad adoption with several barriers to overcome yet. One of the major challenges is the lack of standards. The critical role of standardization for innovation is generally recognized, still the topic too often has been neglected in strategic roadmapping exercises for emerging technologies. Too little is known about the complex dynamics and interrelations of standardization and innovation. The anticipation of standardization needs and the timely and efficient implementation of standards is challenging. This paper aims at contributing to a better understanding of the role that standards play in the multi-dimensional system of innovation. It analyzes the trajectories of innovation in Additive Manufacturing in a systematic and holistic way, focusing on standardization activities with regard to coordination, stakeholders involved, the timing and types of standards developed. Putting standardization in context of the multi-dimensional innovation system of Additive Manufacturing the research shows where standards can support the diffusion of an emerging technology.
Construction products are complex materials and contain a large number of different chemicals, which might be released to the environment during usage. Depending on the compound and on the matrix only a small portion is transferred to environment and therefore a risk assessment should be based on the available portion. Concerning the pathway to soil and groundwater by contact with rain or seepage water leaching tests were developed and standardized by CEN to determine the release potential of construction products. Chemical analysis in the eluates can be combined with eco-toxicological testing. In this presentation an overview about existing leaching methods is given using selected examples of our work. We especially draw the attention to research which is still needed to close the gap between the results of leaching experiments and the subsequent risk assessment of the products.
The eluates of 15 paints for outdoor use were used for a screening of organic compounds and the concentration of cations and anions were determined. Concerning the inorganic constituents only a small number of elements were present with concentrations higher than the limit of detection. Thus, leaching of potential hazardous chemicals is probably of higher concern. Several glycol ethers, polyalkylene glycols and some surfactants and coalescing agents have been identified. Among these only the latter are classified as hazardous to aquatic organisms. The identification of the organic compounds is a time consuming and labor-intensive step due to the high number of chemicals produced and used. Using eco-toxicity tests provides information on the environmental risk without the need for of chemical identification of all compounds. The screening of a set of construction products shows that only a part of eluates causes adverse effects in the test and that such screening can be used as a first step in the assessment of construction products. If this kind of testing is included in the evaluation concept an in depth chemical analysis is only needed for products showing adverse effects.
Determination of the eluate concentration after leaching enables to determine the potential release to the environment and to focus on the available fraction. However, limit values or other concepts to use this information in risk assessment are still missing.
With more than 180.000 engineers and scientists VDI Association of German Engineers and VDE Association for Electrical, Electronic & Information Technologies are belonging to the major technical and scientific associations in Europe. Both organizations promote the advancement of technology and among other things by developing recognized technical regulations as national and international standards. Since 2011 Technical Committee 2.15 Optical Measuring Methods for Structure Analysis and Monitoring as a common committee of both organizations is working among other things on the development of standards for optical measuring and testing methods. The committee consists of 27 members representing industrial users, system manufacturers, research institutes and universities. Currently the committee is drafting the new standard VDI/VDE 2626 Part 1 - Optical measuring procedures – Image correlation methods – Basics and equipment, which will be introduced in this presentation.
Draft VDI/VDE 2626 Part 1 describes practical acceptance and reverification procedures for the evaluation of the accuracy of optical measuring systems based on digital image correlation (DIC) methods. The document applies to DIC measurement systems used a) for full-field determination of two- or three-dimensional displacement of surfaces, and b) for
full-field determination of the elongation or strain of surfaces. The standard describes quality parameters as well as methods and reference objects for their determination. The quality parameters serve to specify DIC systems, and to compare different systems. They are equally suitable a) for acceptance tests as well as b) for reverification of DIC systems within the framework of a quality management system.
The acceptance test is used to determine whether the DIC system complies with the quality parameter limits specified by the manufacturer, or with contractually agreed limits by the manufacturer and user, respectively. For this test the quality parameters zero-displacement error, zero-strain error, and displacement error are defined and used. Zero-displacement error and zero-strain error describe minimum measurement uncertainties of the DIC system a user has to reckon with. They are influenced by different uncertainty contributions. The quality parameter displacement error is used to check the ability of the DIC system to determine absolute displacements within the measurement volume and to confirm the traceability of this measurement to the SI system.
Reverification of DIC systems serves to ensure long-term compliance with specified limits for the quality parameters. By comparing the results of successive reverification measurements of the quality parameters used for the acceptance test, it is possible to analyze trends with respect to changes in DIC system characteristics.
The presentation goes into the characterization of TiO2 engineered nanoparticles within EU/FP7 SETNanoMetro Project and the nanomaterial classification according to the EC definition tested within EU/FP7 NanoDefine Project. Further, ISO/TC 229/JWG 2 activities related on ISO standards in development and inter-laboratory comparisons on measurement of nanoparticle size and shape distribution by SEM and TEM are discussed.
Additive Manufacturing provides an important enabling technology for the digital transformation of the economy. As an emerging technology it has seen a remarkable development over the last three decades. Nevertheless, it is far from a broad adoption with several barriers to overcome yet. One of the major challenges is the lack of standards. The critical role of standardization for innovation is generally recognized, still the topic too often has been neglected in strategic roadmapping exercises for emerging technologies. Too little is known about the complex dynamics and interrelations of standardization and innovation. The anticipation of standardization needs and the timely and efficient implementation of standards is challenging. This paper aims at contributing to a better understanding of the role that standards play in the multi-dimensional system of innovation. It analyzes the trajectories of innovation in Additive Manufacturing in a systematic and holistic way, focusing on standardization activities with regard to coordination, stakeholders involved, the timing and types of standards developed. Putting standardization in context of the multi-dimensional innovation system of Additive Manufacturing the research shows where standards can support the diffusion of an emerging technology.
Lanthanide-doped photon-upconversion nanoparticles (UCNPs) have been in the focus of many research activities in the material and life sciences over the last 15 years because of their potential to convert light between different spectral regions and their unique photophysical properties. In order to fully exploit the application potential of these fascinating nanomaterials, a number of challenges has to be overcome such as the low brightness particularly of small UCNPs and the reliable quantification of the excitation power density (P)-dependent upconversion luminescence (UCL). Here, the need and requirements on the characterization of the optical properties of UCNPs are discussed with special focus on the reliabiliy and comparability of relative and quantitative luminescence measurements and prerequisites for their standardization.
In most cases where a POD is calculated based on continuous data obtained by active thermography, the signal-to-noise ratio (SNR) of the signal, the difference of the defect signal to the background or the absolute signal is analyzed as a function of the aspect ratio (ratio of the size of a defect to its overage), although a distinct linear relationship on a linear or logarithmic scale could not be satisfactorily shown and is also not expected. Therefore, a multi-parameter probability of detection (POD) model was developed, where an â versus a continuous signal analysis was based on the linear relationship between the SNR and a multi-parameter a. This POD model is based on data which were recorded within a flash thermography round robin test with nine participants. Metal test specimens with flat bottom holes (FBHs) were analyzed by calculating the SNR of the defect signatures in the thermograms as well as in the phase images as a function of defect parameters. The linear relationship of the experimental data to the multi-parameter a was verified by comparison to data obtained from an analytical model that is considering lateral thermal heat diffusion as well as to data obtained by numerical simulation. The resulting POD curves for the thermograms and phase images give an estimation for the detectability of the FBHs with known geometry in steel using different equipment and obtained by different participants. By comparing the SNRs of FBHs with similar geometries, this POD model was transferred to aluminum and copper as well.