Development of an artificial olfactory system for lubricant degradation monitoring

Off-line strategies are commonly used to evaluate lubricant aging. These methods are expensive, time consuming and often require skilled personnel. Online detection of lubricant degradation would eliminate some of these issues. Lubricant degradation is principally due to oxidation, additive depletion and contamination by water, acid, fuel, sulphur, and insoluble content which happens gradually through different phases of the lubricant lifetime. The by-products and final products of this chemical process characterise the different evolutive phases of oil aging and are reflected in the volatile compounds emitted by the lubricant while degrading. Hence, the lubricant headspace contains a significant amount of information about oil degradation. This paper reports the development of an artificial olfactory system for real-time oil condition evaluation by headspace analysis. The instrument has been optimised to exhibit high discriminatory power and high sensitivity towards the vapours characterising the oil aging process, while the device costs have been kept low. Preliminary measurements have been carried out on water samples, new engine oil and aged engine oil to evaluate the ability of the system to generate sensor patterns distinctive of the samples under test and to discriminate between new engine oil and relatively aged engine oil. The results of these measurements are presented and discussed in the paper

Description and Characterisation of a Large Array of Sensors Mimicking an Artifical Olfactory Epithelium

Biological olfactory systems show high sensitivity and exquisite discriminatory capacity to odorants. These characteristics are due to hierarchical signal processing of the large numbers of sensory inputs that occurs within the olfactory system. In testing realistic computational models of the olfactory system, large numbers of chemical sensor inputs are required. So far, sensory devices that may serve as model inputs to an artificial olfactory system do not exist. The development of a large scale array of chemical sensors able to mimic the olfactory receptor neurons is described, and these have been characterised in terms of their variability and degree of redundancy. Using this device it is possible to start testing computational hypotheses appropriate to biological chemosensory systems and adapt them to the artificial olfaction

Lubricant Degradation Monitoring with AI-Assisted Sensors

The value of machine lubrication is well understood, but all lubricants must be periodically tested to verify their condition. This has driven intense research towards the development of efficient, low cost and timely degradation monitoring solutions. However, the periodic testing currently used results in a difficult decision between the labour and downtime costs of testing more frequently and the risk of inter-inspection faults if testing is delayed. A series of six metal oxide semiconductor gas sensors has been used within an artificial olfactory system (e-nose) to monitor the volatile compounds released by samples of mineral oil at different levels of thermal degradation. Data collected from the sensors has been used to train an artificial intelligence pattern recognition system based on principal component analysis and a support vector machine for both classification and regression predictions. The classifier achieved a 95.5% accuracy and the regression was accurate within a root-mean-square error of 2.47 showing the effective performance of an e-nose when applied to oil condition monitoring

A Review of Space Tribology Experiments in Low Earth Orbit: Challenges and Opportunities

Operating mechanical devices in low earth orbit (LEO) environment presents unique challenges due to adverse effects of the LEO environment on lubricants and materials in tribo-mechanisms. These challenges include corrosion due to atomic oxygen, molecular degradation of materials and fluids due to radiation, temperature extremes influencing lubricant viscosity, and rapid evaporative loss of fluids in vacuum conditions. Therefore, lubricants for mechanisms and components such as bearings and gears for spacecraft should be tested extensively in both air and vacuum to ensure their continuous and accurate function. Literature on ground based tribo-testing is extensive and well-established. However, tribological investigations conducted in LEO are much fewer in number. The purpose of this paper is to draw together details of tribology experiments of this type, to try to clarify their purpose and value. This review presents these studies according to a thematic categorization of the mechanisms involved

An Efficient Approach for Preprocessing Data from aLarge-Scale Chemical Sensor Array

In this paper, an artificial olfactory system (Electronic Nose) that mimics the biological olfactory system is introduced. The device consists of a Large-Scale Chemical Sensor Array (16, 384 sensors, made of 24 different kinds of conducting polymer materials) that supplies data to software modules, which perform advanced data processing. In particular, the paper concentrates on the software components consisting, at first, of a crucial step that normalizes the heterogeneous sensor data and reduces their inherent noise. Cleaned data are then supplied as input to a data reduction procedure that extracts the most informative and discriminant directions in order to get an efficient representation in a lower dimensional space where it is possible to more easily find a robust mapping between the observed outputs and the characteristics of the odors in input to the device. Experimental qualitative proofs of the validity of the procedure are given by analyzing data acquired for two different pure analytes and their binary mixtures. Moreover, a classification task is performed in order to explore the possibility of automatically recognizing pure compounds and to predict binary mixture concentrations

Human Adipose Mesenchymal Stromal/Stem Cells Improve Fat Transplantation Performance

The resorption rate of autologous fat transfer (AFT) is 40-60% of the implanted tissue, requiring new surgical strategies for tissue reconstruction. We previously demonstrated in a rabbit model that AFT may be empowered by adipose-derived mesenchymal stromal/stem cells (AD-MSCs), which improve graft persistence by exerting proangiogenic/anti-inflammatory effects. However, their fate after implantation requires more investigation. We report a xenograft model of adipose tissue engineering in which NOD/SCID mice underwent AFT with/without human autologous AD-MSCs and were monitored for 180 days (d). The effect of AD-MSCs on AFT grafting was also monitored by evaluating the expression of CD31 and F4/80 markers. Green fluorescent protein-positive AD-MSCs (AD-MSC-GFP) were detected in fibroblastoid cells 7 days after transplantation and in mature adipocytes at 60 days, indicating both persistence and differentiation of the implanted cells. This evidence also correlated with the persistence of a higher graft weight in AFT-AD-MSC compared to AFT alone treated mice. An observation up to 180 d revealed a lower resorption rate and reduced lipidic cyst formation in the AFT-AD-MSC group, suggesting a long-term action of AD-MSCs in support of AFT performance and an anti-inflammatory/proangiogenic activity. Together, these data indicate the protective role of adipose progenitors in autologous AFT tissue resorption

VIII Encuentro de Docentes e Investigadores en Historia del Diseño, la Arquitectura y la Ciudad

Acta de congresoLa conmemoración de los cien años de la Reforma Universitaria de 1918 se presentó como una ocasión propicia para debatir el rol de la historia, la teoría y la crítica en la formación y en la práctica profesional de diseñadores, arquitectos y urbanistas. En ese marco el VIII Encuentro de Docentes e Investigadores en Historia del Diseño, la Arquitectura y la Ciudad constituyó un espacio de intercambio y reflexión cuya realización ha sido posible gracias a la colaboración entre Facultades de Arquitectura, Urbanismo y Diseño de la Universidad Nacional y la Facultad de Arquitectura de la Universidad Católica de Córdoba, contando además con la activa participación de mayoría de las Facultades, Centros e Institutos de Historia de la Arquitectura del país y la región. Orientado en su convocatoria tanto a docentes como a estudiantes de Arquitectura y Diseño Industrial de todos los niveles de la FAUD-UNC promovió el debate de ideas a partir de experiencias concretas en instancias tales como mesas temáticas de carácter interdisciplinario, que adoptaron la modalidad de presentación de ponencias, entre otras actividades. En el ámbito de VIII Encuentro, desarrollado en la sede Ciudad Universitaria de Córdoba, se desplegaron numerosas posiciones sobre la enseñanza, la investigación y la formación en historia, teoría y crítica del diseño, la arquitectura y la ciudad; sumándose el aporte realizado a través de sus respectivas conferencias de Ana Clarisa Agüero, Bibiana Cicutti, Fernando Aliata y Alberto Petrina. El conjunto de ponencias que se publican en este Repositorio de la UNC son el resultado de dos intensas jornadas de exposiciones, cuyos contenidos han posibilitado actualizar viejos dilemas y promover nuevos debates. El evento recibió el apoyo de las autoridades de la FAUD-UNC, en especial de la Secretaría de Investigación y de la Biblioteca de nuestra casa, como así también de la Facultad de Arquitectura de la UCC; va para todos ellos un especial agradecimiento