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Page 139 of 977 Results 1381 - 1390 of 9762

Giovanni Leucci, Francesco Gabellone, Fabrizio Terenzio Gizzi, Nicola Masini
From causes to effects. Integration of heterogeneous data from non-invasive imaging for the diagnosis and restoration of monuments. The case of the Church of S. Francesco della Scarpa in Lecce (Southern Italy)

The church of San Francesco della Scarpa is a church in the historic center of Lecce (Southern Italy), so called in the 16th century when the minor friars who lived in the destroyed convent of Santa Maria del Tempio were divided into conventual and observant: the former wore shoes unlike the seconds. The church has had static stability problems in recent years. In order to understand the causes, a series of findings have been undertaken with the use of integrated non-destructive methodologies. Ground Penetrating Radar (GPR), seismic tomography (ST), passive seismic (PS) and laser scanning survey were used. Results reveals the structural problems of the church.

Filippo Comisi, Lara De Giorgi, Giovanni Leucci
Integrated use of GPR and TDR for wood permittivity evaluation

In this paper we propose an experimental case of the joint use of ground penetrating radar (GPR) and time domain reflectometry (TDR) for the estimation of the dielectric permittivity of several type of wood. In particular, the well known method of the diffraction curves is compared with the results of an auto-focussing strategy based on a linear microwave tomographic approach and with a TDR measurement. The effect of the actual offset between the antennas is accounted for too.

Mirna Lerotić, Siniša Prugovečki
LorisQ - Global Networking for the Real Predictive Cloud-Based Measuring Equipment Maintenance

LorisQ is a cloud-based equipment management platform built on the understanding that measuring equipment maintenance is all about exchange of data and information between clients (equipment users) and service providers (calibration labs and others). Scaleability and flexible design is essential precondition for its global use by teams of all types and sizes: testing and calibration labs, manufacturing SMEs, corporate labs, maintenance, quality and purchasing departments, universities, hospitals and small maintenance service providers. Its client-provider interconnected workflow happening in the larger network makes both Excel data sheets and expensive database software solutions outdated and unnecessary and opens a way toward a real predictive maintenance by taking into account not just data from your own service provider network, but from the few orders of magnitude bigger one. On its way to machine learning, LorisQ offers realtime measurement corrections based on latest calibration data measurement, trend analysis and other advanced features so that users can finally cut their purchasing and maintenance costs and predict long term quality of their equipment.

Gábor Nick, Ádám Szaller, Zsolt János, Viharos, Tamás Várgedő, Dóra Bányai, Christian Fries, Manuel Fechter
Intelligent Production of The Future – First Results of A Survey

Witnessing the unprecedented scale and speed of industry transformation due to digitization in general and the emergence of smart solutions in all aspects of manufacturing in particular, it is well justified to deal with the question of what production of the future will look like. How intelligent will it be when the hard challenges and disruptive effects of the changes will be overcome, and what are the chances to meet the critical requirements of collaboration and cooperation, flexibility and competitiveness? What are the technological and management tools to avoid being stuck in the so-called pilot purgatory? These issues are addressed in an international survey based on a questionnaire specifically tailored to conclude to viable options and recommendations for industrial companies. The results that are mostly in conformity with those published in the literature show that there is yet a lot to do to facilitate a definite turn in the mindset of the actors and to make them realize the relevance of simultaneous and continuous cultural and technological development.

Zsolt J. Viharos, Bernadett Bán
Comprehensive Comparison of MTM and BasicMOST, as the Most Widely Applied PMTS Analysis Methods

This paper focuses on giving a comparison and review about two of the most popular Predetermined Motion Time System (PMTS) analysis and improvement methods: MTM and BasicMOST. Methods Time Measurement (MTM) is the most popular PMTS as it is the oldest one, while Maynard’s Operation Sequence Technique (MOST) was created and is based on MTM, therefore being the second most popular PMTS method. Both methods are used to analyses human motions during work activity, and they are attempting to improve and optimize a given process, to be as effective as it is possible. MTM is more precise, therefore, it is more popular; BasicMOST is simpler and so, it can be applied quicker. In order to give a detailed comparison and review of the two methods, numerous other scientific studies were studied, and more than a dozen aspects were collected that can be used to compare these two methods. This comparison is mostly useful for those, who are looking for improving a process but are unsure about which method to choose. The comparison mentions many aspects that can potentially be more useful than just looking at accuracy and the easy usage of the given method.

Sherwan Mohammed Najm, Imre Paniti, Zsolt János Viharos
Lubricants and Affecting Parameters on Hardness in SPIF of AA1100 Aluminium

The local plastic deformation of a sheet, using a unique tool by different controlled path strategies with the absence of punch and die is called Single Point Incremental Forming (SPIF). It is an environmental friendly sheet forming process compared to stamping, where the manufacturing and disposal of dies are creating a huge environmental footprint. In SPIF, the forming tools are mainly kind of a metal spike with a spherical or flat end on top of it, where the diameter of the tool tip is 10 mm in average. In this study, the effects of different parameters of SPIF on the hardness of aluminium alloy sheet 1100 have been carried out experimentally and studied. The analysis of the test results has shown that hardness remarkably increases by increasing the tool speed. Furthermore, the increase in the feed rate leads to an increase in hardness. Besides, the use of various greases with not-environmental coolant oil effects presented that hardness increases using coolant oil and decreases using grease when applying the same feeds.

Laszlo Kazup, Angela Varadine Szarka
Design, Analysis and Optimization of Magnetic Circuits for Linear Dynamic Actuators

Contactless braking methods (with capability of energy recuperation) are more and more widely used and they replace the traditional abrasive and dissipative braking techniques. In case of rotating motion, the method is trivial and often used nowadays. But when the movement is linear and fast alternating, there are only a few possibilities to break the movement. The basic goal of research project is to develop a linear braking method based on the magnetic principle, which enables the efficient and highly controllable braking of alternating movements. Frequency of the alternating movement can be in wide range, aim of the research to develop contactless braking method for vibrating movement for as higher as possible frequency. The research includes examination and further development of possible magnetic implementations and existing methods, so that an efficient construction suitable for the effective linear movement control can be created. The first problem to be solved is design a well-constructed magnetic circuit with high air gap induction, which provides effective and good dynamic parameters for the braking devices. The present paper summarizes the magnetostatics design of “voice-coil linear actuator” type actuators and the effects of structurerelated flux scattering and its compensation.

Tomáš Drábek, Vladimír Petrík Jan Holub
Automatic Control Points Computation for the Acoustic Noise Level Audits

The acoustic noise level in the interior is one of the quantities specified by a standard and is subject to audits to ensure a comfortable living environment. Currently, the noise level audits are performed manually by a skilled operator, who estimates the floor plan and uses it to calculate the control points location in which the measurement is performed. We propose to automate the computation by formulating an optimization problem for which we designed an algorithm. Algorithm computes the solution that satisfies all constraints specified in the standard, for example, the minimum distance among the control points and fixed obstacles (walls or columns). In the proposed optimization problem, we designed the fitness function based on the measurement purpose, and we analysed two typical use-cases: (i) long-term stationary noise measurement and (ii) recurring short-term noise measurement. Although the set of control points for both use cases obeys the given standard, it is beneficial to distinguish the location of control points based on the measurement purpose. We maximize the number of control points for the stationary noise and maximize the immediate coverage area for the short-term noise. We tested the proposed algorithms in simulation for several floor plans of different complexity.

David DELAUX, Thomas ILLING, Abdelkhalak EL HAMI
Reliability Climatic Test for Composite based on Probabilistic Arrhenius model

This paper proposes a methodology to verify composite products reliability through its life time using a probabilistic Arrhenius model. It will present the challenge that automotive industry faces and study the potential improvement to be considered in order to improve the reliability during the design and validation phases. The formulas developed in this research permit to set up an accelerated test at the strict necessary needs. The goal is the integration of the variability from Energy of activation (Ea), Test Conditions (Test Bench Temperature Tb) and a dispersion from usage temperatures (Tu)

Giulio D’Emilia, Emanuela Natale
NDT Non-destructive testing, PT Penetrant Testing, ISO 3452, Test Panel, Calibration, Verification.

This paper analyses the effect of variability of metrological characteristics of a set of low-cost MEMS accelerometers on the calculation of typical features used in condition monitoring of automatic production lines. The knowledge of the contribution of the variability of sensor metrological characteristics to the final accuracy of features is expected to be interesting when networks of low-cost sensors are used or in cases the spread of their characteristics is high, due to a mass production without single calibration. The real variability of the sensor’s characteristics has been experimentally evaluated according to a calibration of a set of 25 low-cost MEMS, carried out sensor by sensor. Digital sensitivity, signal-to-noise ratio and data rate variability of each sensor have been considered for analysis. Experimental data from an industrial test case has been processed comparing real data, by a high performance piezoelectric accelerometer, and modified ones, taking into account the variability of the above characteristics of MEMS. The results show which features are more affected and which characteristics of MEMS are more influencing the features themselves.

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