ADVENTURE | ADaptive Virtual ENterprise ManufacTURing Environment
01-09-2011
-31-08-2014
01-09-2011
-31-08-2014
01-10-2011
-30-09-2014
01-10-2011
-30-09-2014
01-09-2011
-28-02-2015
01-11-2011
-31-10-2014
01-06-2010
-31-05-2014
01-11-2011
-31-10-2014
01-11-2011
-31-10-2014
01-12-2011
-30-11-2014
Each of the processes was developed using simulations. The simulations were used to develop control and investigate improvements. The additive manufacturing process as well as the micro-forming process was modeled using FEM methods. This to ensure first-time right development.
01-10-2011
-30-09-2014
01-09-2011
-31-08-2014
01-10-2010
-30-03-2014
01-09-2011
-31-08-2014
01-01-2012
-31-12-2014
15-01-2013
-14-07-2016
01-09-2012
-31-08-2015
Des-MOLD imply the development of a Geometry module : software to simplify the design of geometry to a set of primitives. It allows the system to compare designs.
Des-MOLD is an intelligent knowledge-based system which presents the use of different Artificial Intelligence techniques to develop a decision support system for designers of plastic parts. Our approach is based on computational argumentation (ARG) and case-based reasoning (CBR) to offer both a recommendation about the design and the reasoning process followed in order to select that solution. Given the geometry of the part, type of material, mould’s material and defects to be avoid, the system combines a knowledge-based system (KBS) based on past experiences with designers social debates for providing a set of recommendations, enabling to update the knowledge database by reusing and adapting solutions from previous designs.
Our approach is based on computational argumentation (ARG) and case-based reasoning (CBR) to offer both a recommendation about the design and the reasoning process followed in order to select that solution. Given the geometry of the part, type of material, mould’s material and defects to be avoid, the system combines a knowledge-based system (KBS) based on past experiences with designers social debates for providing a set of recommendations, enabling to update the knowledge database by reusing and adapting solutions from previous designs
01-10-2012
-30-09-2015
01-10-2012
-30-09-2015
01-10-2012
-30-09-2015
01-10-2012
-29-02-2016
01-09-2013
-31-08-2016
01-07-2013
-30-06-2016
Demonstrator 1 - RDSS Validation of Life Cycle Cost (LCC) analysis integrated with Reliability and Maintainability (R&M) simulation and Repair Decision Support System Tools/methods applies to evaluate the MTBF, MTTR and LCC of machines identified among end-users
01-09-2013
-28-02-2017
01-10-2013
-30-09-2016
02-09-2013
-01-09-2017
01-10-2013
-30-09-2017
01-09-2013
-29-02-2016
01-09-2013
-31-08-2017
01-11-2013
-30-04-2017
01-10-2013
-30-09-2016
Multi objective and multidisciplinary design optimization.
Enterprise content management system