Intelligent Support for a Computer Aided Design Optimisation Cycle

It is becoming more and more evident that  adding intelligence  to existing computer aids, such as computer aided design systems, can lead to significant improvements in the effective and reliable performance of various engineering tasks, including design optimisation. This paper presents three different intelligent modules to be applied within a computer aided design optimisation cycle to enable more intelligent and less experience-dependent design performance.

Recent EUROfusion Achievements in Support of Computationally Demanding Multiscale Fusion Physics Simulations and Integrated Modeling

Integrated modeling (IM) of present experiments and future tokamak reactors requires the provision of computational resources and numerical tools capable of simulating multiscale spatial phenomena as well as fast transient events and relatively slow plasma evolution within a reasonably short computational time. Recent progress in the implementation of the new computational resources for fusion applications in Europe based on modern supercomputer technologies (supercomputer MARCONI-FUSION), in the optimization and speedup of the EU fusion-related first-principle codes, and in the development of a basis for physics codes/modules integration into a centrally maintained suite of IM tools achieved within the EUROfusion Consortium is presented. Physics phenomena that can now be reasonably modelled in various areas (core turbulence and magnetic reconnection, edge and scrape-off layer physics, radio-frequency heating and current drive, magnetohydrodynamic model, reflectometry simulations) following successful code optimizations and parallelization are briefly described. Development activities in support to IM are summarized. They include support to (1) the local deployment of the IM infrastructure and access to experimental data at various host sites, (2) the management of releases for sophisticated IM workflows involving a large number of components, and (3) the performance optimization of complex IM workflows.This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014 to 2018 under grant agreement 633053. The views and opinions expressed herein do not necessarily reflect those of the European Commission or ITER.Peer ReviewedPostprint (published version

ERGONOMIC DESIGN RECOMMENDATIONS BASED ON AN ACTUAL CHAINSAW DESIGN

<p>ENGLISH ABSTRACT: To develop high quality products, a designer has to consider various influential factors, one of which is ergonomics. And to fashion a specific product for the user, a designer needs expert knowledge of the user’s requirements. However, expert knowledge can also be accessed through an intelligent advisory system for ergonomic design support. The effectiveness of such an expert system depends mainly on the quality of the knowledge base and on the appropriateness of the system's inference engine. Data for the system’s knowledge base can be collected in different ways. One approach is to study relevant projects to collect appropriate ergonomic solutions; another is to recognise bottlenecks in ergonomic design. This paper presents a case study of the design of an actual chainsaw – with emphasis on ergonomic design solutions – that can be transformed into ergonomic design recommendations. At the end of the paper, an application of one of the derived recommendations within the knowledge base of the intelligent advisory system is presented.</p><p>AFRIKAANSE OPSOMMING: By die ontwerp van gehaltegoedere moet aandag gegee word aan verskeie faktore soos die Ergonomie. Die produkontwerper moet deeglike kennis dra van die verbruikersbehoeftes. Daarbenewens moet hy liefs ook gebruik maak van ’n intelligente sisteem vir ontwerphulp. Die navorsing is toegespits op datasteun vir ’n kettingsaagontwerp en toon hoe die intelligente sisteem betekenisvolle ondersteuning verleen.</p&gt

Ergonomic analysis in conceptual design stage using a gesture-based modelling tool

Commonly, ergonomic analysis of the products' assembly processes starts in the embodiment design phase, when the information of the parts and their interaction are clearly defined. This may imply iterations during the design process for making improvements associated with ergonomic issues. We asked whether it is possible to infer possible ergonomic issues related to the manual assembly process during product conceptualisation. So, we integrated an AR-based modelling tool, in which the user creates and places virtual parts over the context in a top-down design strategy using his/her hands as interface, with an Ergonomic Assessment Module for continuous evaluation of the user postures, movements and forces related to the created parts. In that way, the spectrum of the potential solutions during the conceptualisation phase, when the information about the problem is vague enough, can be delimited and the convergence to the near-optimal solution may be more effective

Recent EUROfusion Achievements in Support of Computationally Demanding Multiscale Fusion Physics Simulations and Integrated Modeling

Integrated modeling (IM) of present experiments and future tokamak reactors requires the provision of computational resources and numerical tools capable of simulating multiscale spatial phenomena as well as fast transient events and relatively slow plasma evolution within a reasonably short computational time. Recent progress in the implementation of the new computational resources for fusion applications in Europe based on modern supercomputer technologies (supercomputer MARCONI-FUSION), in the optimization and speedup of the EU fusion-related first-principle codes, and in the development of a basis for physics codes/modules integration into a centrally maintained suite of IM tools achieved within the EUROfusion Consortium is presented. Physics phenomena that can now be reasonably modelled in various areas (core turbulence and magnetic reconnection, edge and scrape-off layer physics, radio-frequency heating and current drive, magnetohydrodynamic model, reflectometry simulations) following successful code optimizations and parallelization are briefly described. Development activities in support to IM are summarized. They include support to (1) the local deployment of the IM infrastructure and access to experimental data at various host sites, (2) the management of releases for sophisticated IM workflows involving a large number of components, and (3) the performance optimization of complex IM workflows.This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014 to 2018 under grant agreement 633053. The views and opinions expressed herein do not necessarily reflect those of the European Commission or ITER.Peer Reviewe