Rapid prototyping is an effective way to build prototypes. This process, now called AM (Additive Manufacturing), is suited to realize functional single part or for small batch production. Evolution of AM is now in the way of serial production. In the field of medical applications and more precisely dentistry, AM is a way of increasing numbers of elements produced compared to classic production by lost wax casting. To increase production quality, it is necessary to have a high monitoring and control of process and properties of production. In the case of AM using (DMLS: Direct Metal Laser Sintering), a lot of parameters can have an influence on the elements production quality such as powders quality, laser behavior or sintering time... The goal of this work is to study the serial production quality using a DMLS system (Phenix System PM100). This system is used in production of cobalt-chromium elements for dental applications. The study was done on a period of 6 months with recording results of almost 120 productions and was focused on a quantity of around 7000 dental elements produced. In a first part, number of elements per production, room temperature and hygrometry, powder reloading, maintenance, production stops and new operators are recorded. Material properties of some elements produced such as dimensional properties, density, porosity and crystallographic phases are monitored. Materials analysis has led to ensure the elements quality produced by the Phenix system and results are discussed in this work. In a second part, we focused on the production analysis with the recorded data. Analysis leads to define 2 ratios: production ratio R_p defined as [Elements Number]/ [Productions Number] and the efficiency production P_E defined as the ratio R_p/[Stopped production number]. By calculating R_p and P_E values with collected data on the Phenix system, a PM 100 efficiency production modeling has been established. The PM 100 production modeling can help to understand that increasing the production ratio R_p value leads to have efficiency production P_E high variation. On another hand, collecting production parameters leads to increase production efficiency.
展开▼
