Integrated Computer-Aided Innovation: The PROSIT approach

Cugini, Umberto; Cascini, Gaetano; Muzzupappa, Maurizio; Nigrelli, Vincenzo

doi:10.1016/j.compind.2009.05.014

Cited by 27 publications

(14 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Even if several papers [7,11,19] can be found in the literature, aimed at integrating TOM into the CAD process, the solutions presented are either limited to 2D shapes or fragmentary and lots of problems remain to be solved. Ideally, the process should automatically derive a 3D optimized CAD model from the input of an initial CAD model with relevant data (typically the non-design sub-domain, BC and relevant engineering data).…”

Section: Automation Of the Topology Optimization Processmentioning

confidence: 96%

Towards the Integration of Topology Optimization into the CAD Process

Cuillière

Vincent

Drouet

2013

Computer-Aided Design and Applications

View full text Add to dashboard Cite

This paper presents a contribution to the automation and integration of topology optimization methods (TOM) with CAD, in the context of the design of statically loaded mechanical structures and parts. Starting from an initial CAD model with relevant engineering data, the goal is automatically generating an optimized CAD model with respect to engineering objectives and constrains. Though many optimization methods are now available, their complete and efficient integration into the design process faces several problems. After introducing the basic steps involved in the whole process and identifying the challenges inherent to this integration, this paper presents our contribution in addressing these challenges. The paper is focused on the specification of design and non-design sub-domains, on automatic mesh generation problems induced and on the adaptation of TO concepts in the context of 3D unstructured meshes. TO itself is adapted from a SIMP scheme, which is an arbitrary choice as any other optimization method could also have been used. Sets of results are presented to illustrate the potential and difficulties inherent to integrating TOM into the product design process with CAD.

show abstract

Section: Automation Of the Topology Optimization Processmentioning

confidence: 96%

Towards the Integration of Topology Optimization into the CAD Process

Cuillière

Vincent

Drouet

2013

Computer-Aided Design and Applications

View full text Add to dashboard Cite

show abstract

“…Besides, the domain borders of this emerging technology are still fuzzy and in any case CAI systems suffer of limited interoperability with downstream CAx tools [7].…”

Section: The Role Of Computers In the Early Phases Of The Product Devmentioning

confidence: 99%

“…Besides, the analysis and solution of contradictions according to the PROSIT project was still demanded to the designer, just providing a set of guidelines to overcome the conflicts according to the specific operational conditions of the technical system, as described in [7].…”

Section: Design Parameters Conflictmentioning

confidence: 99%

“…It is worth to mention that a few preliminary experiments to embed the principles of TRIZ within CAD systems have been attempted with promising, but still not satisfactory, results [8][9][10]. The main limitation stands in the distance between product models in these two different categories of systems: CAI systems need a more abstract representation, function-or requirement-oriented, with fuzzy topology and/or shape; besides, PLM systems are all structured assuming a more detailed representation of the product, in most cases with explicit geometry and limited possibilities to introduce variations through the control of pre-defined parameters.A different approach to bridge CAI and PLM systems has been proposed within the PROSIT project [7], whose main outcomes are described in the section 3 of this chapter. The logic of PROSIT is to adopt the geometry generation capability of topological optimization systems (briefly overviewed in the next section) as a means to translate the CAI output into a product model manageable by currently available PLM systems.…”

mentioning

confidence: 99%

See 1 more Smart Citation

From Computer-Aided (Detailed) Design to Automatic Topology and Shape Generation

Cascini

Rotini

2011

Innovation in Product Design

Self Cite

View full text Add to dashboard Cite

This chapter surveys the evolution of Computer-Aided systems in terms of support to the earliest stages of design and more specifically to the embodiment design phase, when functional requirements and related structural and manufacturing constraints must be translated into a working solution, i.e. the generation of topology and shape of a mechanical part. After an introductory discussion about the context and the limitations of current systems, the chapter summarizes the research outcomes of two projects: the first, namely PROSIT (From Systematic Innovation to Integrated Product Development), aimed at bridging systematic innovation practices and Computer-Aided Innovation (CAI) tools with Product Lifecycle Management (PLM) systems, by means of Design Optimization tools. The second, coordinated by the authors, is a prosecution of PROSIT and proposes the hybriDizAtion of Mono Objective optimizations (DAeMON) as a strategy for automatic topology and shape generation. The latter is clarified by means of two exemplary applications, one related to a literature example about Genetic Algorithms applied to multi-objective optimization, the second to an industrial case study from the motor scooter sector. IntroductionThe last century has seen the development of more and more structured methods and procedures to support the Product Development cycle, both in terms of techniques to guide designers" decisions and of technologies to aid analysis and synthesis tasks. Three main ages are recognized in literature [1]: the era of productivity characterized by an increase of demand by society for the acquisition of Gaetano Cascini and Federico Rotini technical objects and consequently the focus on productivity improvement and costs reduction; the era of quality characterized by the necessity for rigorous steps of measurement and monitoring the production in order to increase the profitability, towards a total strategy of optimization of its efficiency; the era of innovation characterized by the need for structuring not only productivity and total quality, but also building a strategy of systematic innovation to bring in the market products addressing new users" needs or new ways to satisfy already identified needs and requirements.The first two ages have firstly involved the optimization of the production departments (both methods and technologies) in order to reduce the unitary cost of a product, i.e. adopting lean production approaches, and to guarantee its quality, i.e. ensuring the robustness of the related manufacturing processes.More recently, the focus has been switched to the engineering design tasks since they dramatically impact costs and quality, but also due to the emergence of innovation as the key for being competitive in the global market.Despite methods and tools for engineering design have radically evolved in the last decades also thanks to the availability of computational resources not comparable with any human effort, the engineering design process can still be considered as a series of three major sta...

show abstract

“…Process patent has become an important knowledge resource for technology transfer due to its innovative and practical features. Many efforts have been made in manufacturing innovation aspects that rely on the knowledge of patents, especially in computer-aided innovation using patents [8][9][10][11], such as the promising patents identification using TRIZ (the theory of inventive problem solving) evolution trends [7,12], patent analysis applying text-mining technique [13], and patent search for technology transfer [14]. However, these technical patents containing innovative principles or methods originally intended to solve certain technical problems or improve the current manufacturing technology.…”

Section: Introductionmentioning

confidence: 99%

Optimal Selection Method of Process Patents for Technology Transfer Using Fuzzy Linguistic Computing

Wang

Tian

Geng

2014

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Under the open innovation paradigm, technology transfer of process patents is one of the most important mechanisms for manufacturing companies to implement process innovation and enhance the competitive edge. To achieve promising technology transfers, we need to evaluate the feasibility of process patents and optimally select the most appropriate patent according to the actual manufacturing situation. Hence, this paper proposes an optimal selection method of process patents using multiple criteria decision-making and 2-tuple fuzzy linguistic computing to avoid information loss during the processes of evaluation integration. An evaluation index system for technology transfer feasibility of process patents is designed initially. Then, fuzzy linguistic computing approach is applied to aggregate the evaluations of criteria weights for each criterion and corresponding subcriteria. Furthermore, performance ratings for subcriteria and fuzzy aggregated ratings of criteria are calculated. Thus, we obtain the overall technology transfer feasibility of patent alternatives. Finally, a case study of aeroengine turbine manufacturing is presented to demonstrate the applicability of the proposed method.

show abstract

Integrated Computer-Aided Innovation: The PROSIT approach

Cited by 27 publications

References 18 publications

Towards the Integration of Topology Optimization into the CAD Process

Towards the Integration of Topology Optimization into the CAD Process

From Computer-Aided (Detailed) Design to Automatic Topology and Shape Generation

Optimal Selection Method of Process Patents for Technology Transfer Using Fuzzy Linguistic Computing

Contact Info

Product

Resources

About