Rossetti D.,Marche Polytechnic University |
Squartini S.,Marche Polytechnic University |
Collura S.,Loccioni Group
Smart Innovation, Systems and Technologies | Year: 2016
This paper aims to evaluate the effectiveness of different Machine Learning algorithms for the estimation of Particle Size Distribution (PSD) of powder by means of Acoustic Emissions (AE). In industrial plants it is very useful to use noninvasive and adaptable systems for monitoring the particle size, for this reason the AE represents an important mean for detecting the particle size. To create a model that relates the AE with the powder size, Machine Learning is a viable approach to model a complex system without knowing all the variables in details. The test results show a good estimation accuracy for the various Machine Learning algorithms employed in this study. © Springer International Publishing Switzerland 2016.
Grabowski D.,Silesian University of Technology |
Cristalli C.,Loccioni Group
Infrared Physics and Technology | Year: 2015
This paper addresses the problem how to bring advanced data analysis techniques to the reality of a production line in order to increase the productivity and cost-effectiveness while reducing failure rates and increasing reliability of the final product. The main goal was to develop techniques of fast thermal inspection for production line quality control using a knowledge-based machine vision system. The paper contains a description of the system as well as a proposition of the algorithm for automatic classification of devices on the base of information included in their infrared images. Data-driven pattern recognition, infrared imaging, and principal component analysis (PCA) were put together and resulted in a very effective production line quality control system. The algorithm has been validated using real production line data. Experiments revealed some interesting features of the proposed method, e.g. resistance to changes of the ambient temperature and early classification during the thermal transient state. © 2015 Elsevier B.V. All rights reserved.
Cellura M.,DREAM |
Campanella L.,DREAM |
Ciulla G.,DREAM |
Guarino F.,University of Palermo |
And 3 more authors.
ASHRAE Transactions | Year: 2011
In the framework of international actions to reduce the energy requirements and greenhouse gases emissions due to buildings, a new International Energy Agency task has been recently established in order to study Net Zero Energy Buildings (NZEBs). The commonly shared concept of NZEB, is a building whose annual balance of energy consumptions tends to zero. This concept is still too imprecise and the authors of this paper participate to the activities of SubTask B of IEA Task40 with the aim of establishing an internationally agreed understanding on NZEBs. The task is based on a common methodology for identifying and refining design approaches and tools to support industry adoption of innovative demand/supply technologies for NZEBS. This goal is pursued through detailed modeling and analysis of specific NZEB case studies. Among the specific objectives of the Sub Task B it is possible to include the analysis of redesigned studies. Redesigned studies should identify better alternative solutions for plants, building envelope or impact on the environment that significantly modify the building. To provide high quality information about the design process of a NZEB, it was decided to examine in detail the specific case study of the Leaf House (LH) located in Ancona, Italy. The studied building is fully monitored in terms of thermal environment, energy production and consumption, water use and occupancy. The purpose of this paper is to present some optionsto improve the performance of the selected building, identified by using the collected data and analyzing a detailed TRNSYS model of plant-building complex. The model has allowed detailed evaluation of the effects of some changes in the design that can improve the behavior of the Leaf House in terms of consumptions of energy resources and environmental impact of the building. The performed analysis shows that the building envelope is already very effective in terms of thermal performance, while the redesign of the thermal plants and the PV system should permit to reach a nearly net zero energy performance. © 2011 ASHRAE.
Brizi G.,University of Perugia |
Buitoni G.,University of Perugia |
Postrioti L.,University of Perugia |
Ungaro C.,Loccioni Group
SAE Technical Papers | Year: 2015
The recent implementation of new rounds of stringent nitrogen oxides (NOx) emissions reduction legislation in Europe and North America is driving the expanded use of exhaust aftertreatment systems, including those that treat NOx under the high-oxygen conditions typical of lean-burn engines. One of the favored aftertreatment solutions is referred to as Selective Catalytic Reduction (SCR), which comprises a catalyst that facilitates the reactions of ammonia (NH3) with the exhaust nitrogen oxides (NOx). It is customary with these systems to generate the NH3 by injecting a liquid aqueous urea solution, typically at a 32% concentration of urea (CO(NH2)2). The solution is referred to as AUS-32, and is also known under its commercial name of AdBlue® in Europe, and DEF - Diesel Exhaust Fluid - in the USA. The urea solution is injected into the exhaust and transformed to NH3 by various mechanisms for the SCR reactions. Understanding the spray performance of the AUS-32 injector is critical to proper optimization of the SCR injection system. Results were previously presented from high-speed video imaging of an AUS-32 injector spray simulating the hot conditions at the injector spray exit for an exhaust injection application. These results were obtained while injecting into room temperature ambient air. Those results showed substantial structural differences in the spray between room temperature fluid conditions, and conditions where the fluid temperature approached and exceeded 100° C. However, it was unknown whether certain aspects of the observed spray behavior were the result of the room temperature ambient environment. The spray investigations results presented in this paper follow up on the previous macroscopic imaging work with an examination of the heated spray injected into a hot air flow environment representative of a light-duty vehicle exhaust system. The test facility concept and operation is described. The overall global spray structure changes observed in the previously published room temperature air measurements are confirmed. Specific differences in the spray evolution are also observed. Quantifications of the spray penetration and spray atomization are presented. The implications of the observed spray behavior for vehicle exhaust applications are discussed. © 2015 SAE International.
Bastari A.,Loccioni Group |
Cristalli C.,Loccioni Group |
Morlacchi R.,Loccioni Group |
Pomponi E.,Marche Polytechnic University
Mechanical Systems and Signal Processing | Year: 2011
The present work introduces an innovative method for measuring particle size distribution of an airborne powder, based on the application of signal processing techniques to the acoustic emission signals produced by the impacts of the powder with specific metallic surfaces. The basic idea of the proposed methodology lies on the identification of the unknown relation between the acquired acoustic emission signals and the powder particle size distribution, by means of a multi-step procedure. In the first step, wavelet packet decomposition is used to extract useful features from the acoustic emission signals; the dimensionality of feature space is further reduced through multivariate data analysis techniques. As a final step, a neural network is properly trained to map the feature vector into the particle size distribution. The proposed solution has several advantages, such as low cost and low invasiveness which allow the system based on this technique to be easily integrated in pre-existing plants. It has been successfully applied to the PSD measurement of coal powder produced by grinding mills in a coal-fired power station, and the experimental results are reported in the paper. The measurement principle can also be applied to different particle sizing applications, whenever a solid powder is carried in air or in other gases. © 2010 Elsevier Ltd.All rights reserved.