A model-based simulation approach to support the product configuration and optimization of gas turbine ducts

ABSTRACTNowadays, product configuration and optimization are very important topics in several industrial applications such as the manufacturing of Engineered-to-order (ETO) products, where there is a fierce increase in market competition. The product configuration allows past design solutions to be reused and new product variants to be defined and pre-designed. However, the delivery of new configurations of products requires a technical feasibility analysis before closing the contract of the order with the customer. There is a lack of commercial tools which can support the designer from the early configuration phase to the product optimization with the automatic generation of geometric models and simulations. While traditional software tools can be used for the product configuration, with automation in the CAD modeling, other ones can combine optimization algorithms with numerical simulations. However, the combination of all these design levels requires the development of a dedicated platform tools. The r...

[1]  Roberto Raffaeli,et al.  Knowledge Based Plants Layout Configuration and Piping Routing , 2011 .

[2]  Bin Li,et al.  Product configuration optimization using a multiobjective genetic algorithm , 2006 .

[3]  Gianfranco La Rocca,et al.  Knowledge based engineering: Between AI and CAD. Review of a language based technology to support engineering design , 2012, Adv. Eng. Informatics.

[4]  Philippe Rigo,et al.  A review on simulation-based optimization methods applied to building performance analysis , 2014 .

[5]  Michele Germani,et al.  MANUFACTURING COST ESTIMATION DURING EARLY PHASES OF MACHINE DESIGN , 2011 .

[6]  Michele Germani,et al.  Thermal analysis and simulation of a Li-ion battery pack for a lightweight commercial EV , 2017 .

[7]  Ferruccio Mandorli,et al.  Evolution in Mechanical Design Automation and Engineering Knowledge Management , 2011 .

[8]  Michele Germani,et al.  An approach to support model based definition by PMI annotations , 2016 .

[9]  Joshua D. Summers,et al.  Using Rule Based Design in Engineer to Order Industry: An SME Case Study , 2008 .

[10]  Michele Germani,et al.  Design knowledge formalization to shorten the time to generate offers for Engineer To Order products , 2017 .

[11]  George Chryssolouris,et al.  On an Integrated Knowledge based Framework for Manufacturing Systems Early Design Phase , 2013 .

[12]  Giorgio Colombo,et al.  Feasibility of an assembly line layout automatic configuration based on a KBE approach , 2014, Proceedings of the 2014 International Conference on Innovative Design and Manufacturing (ICIDM).

[13]  Michele Germani,et al.  Modular Product Configuration: an Automatic Tool for Eliciting Design Knowledge from Parametric CAD Models , 2010, DAC 2010.

[14]  Michel van Tooren,et al.  DEVELOPMENT OF AN ICAD GENERATIVE MODEL FOR BLENDED WING BODY AIRCRAFT DESIGN , 2002 .

[15]  Michele Germani,et al.  A Design Methodology to Support the Optimization of Steel Structures , 2016 .

[16]  Chuntao Liu,et al.  Customer-driven product configuration optimization for assemble-to-order manufacturing enterprises , 2008 .

[17]  Roger Jianxin Jiao,et al.  A system level product configurator for engineer-to-order supply chains , 2015, Comput. Ind..

[18]  Ang Liu,et al.  Product Requirement Modeling and Optimization Method Based on Product Configuration Design , 2015 .

[19]  Lars Hvam,et al.  Reducing variety in product solution spaces of engineer-to-order companies: the case of Novenco A/S , 2013 .

[20]  Zhongkai Li,et al.  Multi-objective optimization and evaluation method of modular product configuration design scheme , 2014 .