6533b82ffe1ef96bd1295932

RESEARCH PRODUCT

Selecting between CNC milling, robot milling and DMLS processes using a combined AHP and fuzzy approach

Octavian-constantin BologaRadu-eugen BreazSever-gabriel Racz

subject

0209 industrial biotechnologyProcess (engineering)Computer scienceAnalytic hierarchy processComputerApplications_COMPUTERSINOTHERSYSTEMS02 engineering and technologyFuzzy logicManufacturing engineering020901 industrial engineering & automationMachiningCnc milling0202 electrical engineering electronic engineering information engineeringGeneral Earth and Planetary SciencesRobot020201 artificial intelligence & image processingGeneral Environmental Science

description

Abstract Recent advancements in manufacturing technology allow now a much wider selection of machining processes. Milling with industrial robots or additive manufacturing could now replace traditional milling performed on CNC machine-tools, for certain applications. This work presents a decision-making process for selecting between CNC milling, robot milling and a process of additive manufacturing (DMLS) for a certain class of parts. The AHP method was used for selecting between the three variants of manufacturing processes. The criteria used for AHP were divided into crisp ones and criteria described by linguistic variables. For the last ones, fuzzy inference systems were built to extract measurable information to be used for AHP. Finally, the proposed method was applied for a specific part.

yearjournalcountryeditionlanguage
2017-01-01Procedia Computer Science
https://doi.org/10.1016/j.procs.2017.11.439