2,539 research outputs found
Advances in electrical high current connections for electrical propulsion systems
Many countries strongly support electric propulsion for various fields of transportation, be
it people or goods on land, at sea or in the air. Although electric drive systems appear much
simpler than (internal) combustion systems, they exhibit their own challenging development
tasks. This becomes obvious when an ever-increasing efficiency, performance or production
rate is required, just to name a few.
The new challenges can be tackled with the help of new electromagnetic manufacturing
processes. High speed processes with their well-known unique capabilities offer promising
approaches. However, development is required in order to deliver the required performance.
High-speed forming with electromagnetic tools allows the production of sharp-edged battery
housings. For body panels, sharp edges are mainly a design feature. For batteries, however,
sharp edges allow for an almost ideally rectangular housing, enabling a higher energy
density. Increases in the range of up to 10 % are achievable.
When it comes to packaging, the liquid cooling and heating of battery packs is of equally
large importance. The channels for the medium must not consume too much space. The
integration of channels inside the aluminium or steel frame of the battery pack is a promising
approach. Due to the high welding speeds of up to 500 mm per second at optimum conditions
and at the same time the ability to weld aluminium to aluminium or even steel without any
loss in strength, electromagnetic pulse welding offers a promising solution.
The conduction of high electrical currents with for example the strong demand to save
weight and thus use as little material as possible also requires new processes.
Electromagnetic pulse welding of aluminium to aluminium and aluminium to copper is well
known, investigated and already used in mass production. However, this is suitable for bus
bars only. The connection of terminals to cables is mostly done by crimping. Using a pulsed
force for crimping improves the compaction and thus the resistance of the joint, especially
of cables with large cross sections. This allows for smaller connectors and reduced cable
cross sections
Stable computational methods for additive binomial models with application to adjusted risk differences
Risk difference is an important measure of effect size in biostatistics, for both randomised and observational studies. The natural way to adjust risk differences for potential confounders is to use an additive binomial model, which is a binomial generalised linear model with an identity link function. However, implementations of the additive binomial model in commonly used statistical packages can fail to converge to the maximum likelihood estimate (MLE), necessitating the use of approximate methods involving misspecified or inflexible models. A novel computational method is proposed, which retains the additive binomial model but uses the multinomial–Poisson transformation to convert the problem into an equivalent additive Poisson fit. The method allows reliable computation of the MLE, as well as allowing for semi-parametric monotonic regression functions. The performance of the method is examined in simulations and it is used to analyse two datasets from clinical trials in acute myocardial infarction. Source code for implementing the method in R is provided as supplementary material (see Appendix A).Australian Research Counci
Suitable Design for Electromagnetic Pulse Processes
Basic conventional production processes, such as arc welding or forming, are more or less
thoroughly investigated, reliable process guidelines have been developed and trained
engineers are available. This allows them to be put into use usually fast, thus facilitating a
wide application.
The usage of electromagnetic pulse processes, on the contrary, still lacks a broad
propagation. Despite having a history reaching back several decades, these processes are
mostly limited to niche applications. Admittedly, theoretical considerations have been made
and various experiments have been carried out. However, when a given joining or forming
task needs to be realized with electro-magnetic force, a huge invest is necessary even before
the first part is made. This involves the design of the machine, especially of the tool coil, as
well as the design of the workpieces to be processed.
In industrial environmentsthis challenge is tackled step by step: After the theoretical product
concept in close collaboration with the customer, numerical and experimental trials are
carried out. In many cases, iterations are necessary and both geometry and process are
optimized. The experimental trials can be conducted with universal sheet welding tool coils
or tube compression tool coils with custom field shapers. This procedure allows keeping the
prototyping costs low, but at the same time provides valid information on the feasibility in
general, the requirements to the workpieces, the design of the tool coil and the properties of
the pulse generator. Subsequently, the tool coil is designed and manufactured according to
the prior findings. The pulse generator as modular component is assembled and adapted to
the customer’s requirements.
The iterative product and process design is the most important phase of the whole procedure,
which is in accordance with good project management. It significantly lowers the risk of an
expensive project cancellation during the late steps
De-noising of diffusion-weighted MRI data by averaging of inconsistent input data in wavelet space
Diffusion Weighted Images datasets with high spatial resolution and strong diffusion weighting are often deteriorated with low SNR. Here, we demonstrate the feasibility of a recently presented repetition-free averaging based de-noising (AWESOME). That technique reduces noise by averaging over a series of N images with varying contrast in wavelet space and regains intensities and object features initially covered by noise. We show that high resolution DWIs are achievable in a quality that almost equals to that obtained from 6fold complex averaging
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