Measuring the Efficiency of Commonality Implementation: Application to Commercial Aircraft Cockpits

Increasing commonality across their models allows commercial aircraft manufacturers to reduce the product development cycle time and tailor their models to their customers’ needs. The cockpit is an area where commonality is thought to be particularly desirable, since it also simplifies the pilots training process for the airline companies. However, no set of metrics is currently able to measure the efficiency of commonality application at this level from a total lifecycle standpoint. In this paper, we propose a set of metrics adapted to large commercial aircraft and taking into account the main parts of the product lifecycle. The concept of lead time is central in our measurement of commonality, as it strongly influences the value of the aircraft for all primary stakeholders. We examine the extent to which these metrics are independent from aircraft particularities (such as physical dimensions). We indicate their limitations and what additional research should be performed to obtain a set of metrics able to measure the efficiency of commonality implementation for the whole aircraft. We use the example of two competing medium-haul aircraft families to test our set of metrics. We evaluate the efficiency of commonality according to our metrics and we compare with field results obtained from the manufacturers’ studies and from the results of interviews of airlines pilots. We show how our se

Global hotspots for the occurrence of compound events

Compound events (CEs) are weather and climate events that result from multiple hazards or drivers with the potential to cause severe socio-economic impacts. Compared with isolated hazards, the multiple hazards/drivers associated with CEs can lead to higher economic losses and death tolls. Here, we provide the first analysis of multiple multivariate CEs potentially causing high-impact floods, droughts, and fires. Using observations and reanalysis data during 1980–2014, we analyse 27 hazard pairs and provide the first spatial estimates of their occurrences on the global scale. We identify hotspots of multivariate CEs including many socio-economically important regions such as North America, Russia and western Europe. We analyse the relative importance of different multivariate CEs in six continental regions to highlight CEs posing the highest risk. Our results provide initial guidance to assess the regional risk of CE events and an observationally-based dataset to aid evaluation of climate models for simulating multivariate CEs.The research was funded by the Australian Research Council Centre of Excellence for Climate Extremes (CE170100023) and was supported in part by the New South Wales Department of Planning, Industry and Environment. H.X.D. is currently funded by School for Environment and Sustainability, University of Michigan (U064474). J.Z. acknowledges funding from the Swiss National Science Foundation (Ambizione grant 179876). N.N.R. and J.Z. acknowledge the European COST Action DAMOCLES (CA17109)

Development of a database for the rapid and accurate routine identification of Achromobacter species by matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF MS).

Achromobacter spp. are emerging pathogens in respiratory samples from cystic fibrosis patients. The current reference methods (nrdA-sequencing or multilocus sequence typing) can identify 18 species which are often misidentified by conventional techniques as A. xylosoxidans. A few studies have suggested that matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF/MS) provides accurate identification of the genus but not of species. The aims of this study were (a) to generate a database for MALDI-TOF/MS Bruker including the 18 species, (b) to evaluate the suitability of the database for routine laboratory identification, and (c) to compare its performance with that of the currently available Bruker default database. A total of 205 isolates belonging to the 18 species identified by nrdA sequencing were used to build a local database. Main spectra profiles (MSPs) were created according to Bruker's recommendations for each isolate with the Biotyper software. Performance of the default Bruker database and ours for routine use were compared by testing 167 strains (including 38 isolates used from MSP creation) belonging to the 18 species identified by nrdA sequencing directly from colonies cultivated on various media. Our new database accurately identified 99.4% (166/167) of the isolates from the 18 species (score ≥2.0) versus only 50.9% (85/167) with the Bruker database. In the Bruker database 17.3% of the isolates (29/167) were incorrectly identified as another species despite a score of ≥2.0. The use of MALDI-TOF/MS in combination with a database developed with samples from 18 Achromobacter species provides rapid and accurate identification. This tool could be used to help future clinical studies

Fine-scale rainfall over New Caledonia under climate change

Global climate models projections indicate no clear future rainfall changes over the Southwestern Pacific islands in response to anthropogenic forcing. Yet, these models have low (similar to 100-200 km) spatial resolution and suffer from large systematic biases, such as the trademark "double ITCZ". Here, 4 km-resolution simulations were used with a nested regional atmospheric model, which resolves the New Caledonian mountainous topography. The resulting present-day rainfall amount, spatial structure, seasonal cycle, and extremes compare much better with observations than at 20 km resolution. We applied projected changes from global climate models under the RCP8.5 scenario at the boundaries, following an approach that corrects both their present-day and projected sea surface temperature biases. Unlike climate models, our refined projections reveal an 18% decrease in annual mean rainfall over New Caledonia by 2080-2100, especially on the leeward side of the island (up to 30%) and during the hot season (that accounts for similar to 80% of the rainfall decrease). This drying is robust without bias correction, and much stronger than at similar to 20 km resolution. It is mainly driven by circulation changes. A weather regime classification further demonstrates that similar to 80% of the hot season drying relates to a strong anti-cyclonic and air subsidence anomalies centred on the north of NC, which reduces moisture convergence over the archipelago. The frequency and intensity of extreme precipitation events is also reduced by similar to 20% by 2080-2100. This drastic projected drying would have dramatic impacts on water resources and terrestrial ecosystems, pleading for carefully-planned adaptation policies for New Caledonia

Global hotspots for the occurrence of compound events

Compound events (CEs) are weather and climate events that result from multiple hazards or drivers with the potential to cause severe socio-economic impacts. Compared with isolated hazards, the multiple hazards/drivers associated with CEs can lead to higher economic losses and death tolls. Here, we provide the first analysis of multiple multivariate CEs potentially causing high-impact floods, droughts, and fires. Using observations and reanalysis data during 1980–2014, we analyse 27 hazard pairs and provide the first spatial estimates of their occurrences on the global scale. We identify hotspots of multivariate CEs including many socio-economically important regions such as North America, Russia and western Europe. We analyse the relative importance of different multivariate CEs in six continental regions to highlight CEs posing the highest risk. Our results provide initial guidance to assess the regional risk of CE events and an observationally-based dataset to aid evaluation of climate models for simulating multivariate CEs

Determination of current density distribution in proton exchange membrane fuel cells

This study is to look at the distribution of current densities in proton exchange membrane fuel cells (PEMFC) to enable optimisation of fuel cell performance. The feasibility of using a new measurement technique of the local magnetic field, in the conductive plates of the cell was studied. The magnetic field is measured throughout the cell using the Maxwell equations and the current densities calculated. The measurement system and its validation are outlined in the first section. The next section outlines the experimental current density distribution within the cell, operating under standard conditions and special configurations, such as the partially active membrane electrodes assembly (MEA). Using a Matlab or Femlab model of the cell, (which is briefly outlined) our experiments are compared and an attempt made to explain the distribution of the current densities. Finally recent developments of the device are described, which will be used in several tests of PEMFC small stacks