Tesis doctoral de David Cortés Sáenz
Cutting processes have been under a constant change due to the increasing necessity of the industry to develop end items with optimal characteristics that make agile their introduction to the market. Sheet metal cutting is part of a group of hundreds of different processes for various applications. Within the sheet metal cutting processes are laser cutting, water jet cutting, plasma and oxyfuel cutting among others, also known as non-conventional cutting processes. These processes have continuously extended their field of application being increasingly used with thicker materials, higher cutting speeds and better cut- ting quality, placing them as an excellent option for cutting sheet metal. part of the operating parameters for these processes (e.G. Cutting speed, required tolerances, thicknesses and materials to be cut) overlap between one process and another in certain ranges. This could be misinterpreted if it is believed that any of the above process can be used under the same circumstances. Frequently, the selection of a cutting process is done through a simple decision-making and it is based on the experience or previous knowledge. However, choosing the right cutting process is a key factor for the optimization of the entire production process, it allows faster time to manufacturing and product delivery, reduces high manufacturing costs, material waste and avoids secondary operations for lack of quality. due to the complexity of the various procedures for the selection process, either mathematically or by prior knowledge on each process, there exists the need of an user-friendly tool that can emulate the behavior that an expert would have when selecting a non-conventional cutting process, a tool capable of identifying the attributes and get the most appropriate combination of attributes in conjunction with the actual requirements of the machining application. in order to facilitate the decision-making of non-conventional sheet metal cutting processes, it is presented an intelligent system that uses a selection model based on fuzzy logic techniques. The model is generated from a knowledge base acquired from diverse experts. With a simple input of the parameters of a piece, the system offers the most appropriate cutting options based on the requirements of a piece, allowing a non-expert user selecting the most appropriate process (quantitatively accurate) with emphasis on a predefined priority: finish, cost or time the results of different experiments show that the presented system for the selection and comparison of sheet metal cutting processes, meets the requirements for its use in the selection of non-conventional cutting processes. This thesis presents a step-by-step methodology for the selection and comparison of sheet metal cutting processes as a new structure of selection by means of an expert system.
Datos académicos de la tesis doctoral «Sistema experto de selección de procesos no convencionales para corte de chapa metálica«
- Título de la tesis: Sistema experto de selección de procesos no convencionales para corte de chapa metálica
- Autor: David Cortés Sáenz
- Universidad: Politécnica de catalunya
- Fecha de lectura de la tesis: 20/04/2012
Dirección y tribunal
- Director de la tesis
- Carles Riba Romeva
- Tribunal
- Presidente del tribunal: joan Vivancos calvet
- Fernando Romero subiron (vocal)
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- (vocal)