Stratégie de sélection des meilleures méthodes d'ébavurage

Abstract

Manufacturers in the aeronautical field, as in many other fields, encounter important obstacles in making parts with excellent finishing: the formation of burrs, the lack of data on deburring and the use of inappropriate deburring method. Burrs are undesirable in the manufacture of parts, their existences reduce the quality of the fitting of components in an assembly, the dimensional and surface quality of the part, can cause injuries to workers during handling, reduces the life of the components in operation, and also reduces tool life, which significantly reduces productivity. Eliminating burrs or limiting their generation is therefore of great importance. There are a wide variety of deburring and surface finishing processes which makes it difficult to determine among them which process is best suited to meet quality standards while remaining competitive. For this purpose the aim of this study is to develop a strategy allowing the selection of the best deburring method to meet the industrial requirements and contribute to their evolution. To achieve our objective a thorough study of the literature was carried out, in order to establish a database gathering the necessary information concerning burrs and deburring and the data from different experiments carried out previously for this purpose. Based on this data base, we have determined the criteria for choosing deburring methods (burr material, height, position, etc.). Then a program under Matlab was developed allowing the selection of the method of deburring suitable for a given application based on the previously determined criteria. A model for the determination and distribution of loads on deburring processes has been made. Finally, a graphical interface has been designed to facilitate communication between the program and the user. Choosing the suitable deburring and surface finishing process not only results in better parts quality but also reduces the total cost of manufacturing parts.

Date	30 Nov 2017
Original language	French
Awarding Institution	École de technologie supérieure
Supervisor	Victor Songmene (Supervisor) & Jean-Pierre Kenné (Co-supervisor)