Aeronautics
A virtual design environment dedicated to the study of surface hardening (carburizing and nitride hardening) and of welding of alloy steel products.
The STAR-EXD project had as its objective the realization of a software platform, consisting of a virtual design environment through which it is possible to monitor and analyze, in a single logical stream, the different design and procedural steps associated with the construction of a mechanical element. Since the platform is aimed at the aviation industry, production processes and subsequent post-treatments that are particularly important for this sector (foundry, surface treatment, welding ...) have been selected.
The distinctiveness of the STAR-EXD project platform is the use of meta-models, taken from specifically targeted trial campaigns, in order to study and optimize carburizing and nitride surface hardening treatments, and a welding process.
The STAR-EXD design platform concerns the study of carburizing and nitride hardening treatments and of the welding process, by numerical approach. Specifically, the application of response surface methodology (RSM) gives access to predictive meta-models relating to the investigated phenomena. The integration of these meta-models in a logical flow that includes the study of the operating conditions, allows evaluating and optimizing the performance of an element subjected to such treatment.
The Role of EnginSoft: IT development of the platform; DOE (experimental design); development (calibration - validation) of the meta-models representing the performances under assessment; coordination of partners’ activity.
EnginSoft SpA | Università del Salento
Funding Scheme POR PUGLIA 2007-2013, Asse I Linea 1.1 – Azione 1.1.2 - Bando "Aiuti agli Investimenti in Ricerca per le PMI"
Some of our competences in research and technology transfer
Research project
The main aim of the project is to set out the knowledge and skills that a competent simulation engineer (CAE engineer) should possess, and to develop a set of tools that will enable engineers to develop, manage and certify their competencies within a wide range of industry sectors.
Research project
Metal Additive manufacturing is a complex operation that requires the fine-tuning of hundreds of processes parameters to obtain repeatability and a high quality design at dimensional, geometric, and structural levels. To help manufacturing companies address these challenges, AMQ_TOOLS develops an innovative quality-oriented decision support framework.
