TY - JOUR
T1 - A reliable turning process by the early use of a deep simulation model at several manufacturing stages
AU - Urbikain, Gorka
AU - Alvarez, Alvaro
AU - de Lacalle, Luis Norberto López
AU - Arsuaga, Mikel
AU - Alonso, Miguel A.
AU - Veiga, Fernando
N1 - Publisher Copyright:
© 2017 by the authors.
PY - 2017/6/1
Y1 - 2017/6/1
N2 - The future of machine tools will be dominated by highly flexible and interconnected systems, in order to achieve the required productivity, accuracy, and reliability. Nowadays, distortion and vibration problems are easily solved in labs for the most common machining operations by using models based on the equations describing the physical laws of the machining processes; however, additional efforts are needed to overcome the gap between scientific research and real manufacturing problems. In fact, there is an increasing interest in developing simulation packages based on "deep-knowledge and models" that aid machine designers, production engineers, or machinists to get the most out of the machine-tools. This article proposes a methodology to reduce problems in machining by means of a simulation utility, which uses the main variables of the system and process as input data, and generates results that help in the proper decision-making and machining plan. Direct benefits can be found in (a) the fixture/clamping optimal design; (b) the machine tool configuration; (c) the definition of chatter-free optimum cutting conditions and (d) the right programming of cutting toolpaths at the Computer Aided Manufacturing (CAM) stage. The information and knowledge-based approach showed successful results in several local manufacturing companies and are explained in the paper.
AB - The future of machine tools will be dominated by highly flexible and interconnected systems, in order to achieve the required productivity, accuracy, and reliability. Nowadays, distortion and vibration problems are easily solved in labs for the most common machining operations by using models based on the equations describing the physical laws of the machining processes; however, additional efforts are needed to overcome the gap between scientific research and real manufacturing problems. In fact, there is an increasing interest in developing simulation packages based on "deep-knowledge and models" that aid machine designers, production engineers, or machinists to get the most out of the machine-tools. This article proposes a methodology to reduce problems in machining by means of a simulation utility, which uses the main variables of the system and process as input data, and generates results that help in the proper decision-making and machining plan. Direct benefits can be found in (a) the fixture/clamping optimal design; (b) the machine tool configuration; (c) the definition of chatter-free optimum cutting conditions and (d) the right programming of cutting toolpaths at the Computer Aided Manufacturing (CAM) stage. The information and knowledge-based approach showed successful results in several local manufacturing companies and are explained in the paper.
KW - Industry 4.0
KW - Knowledge-based manufacturing
KW - Machining optimization
KW - Manufacturing systems
KW - Process integration
KW - Simulation software
UR - http://www.scopus.com/inward/record.url?scp=85034237051&partnerID=8YFLogxK
U2 - 10.3390/machines5020015
DO - 10.3390/machines5020015
M3 - Article
AN - SCOPUS:85034237051
SN - 2075-1702
VL - 5
JO - Machines
JF - Machines
IS - 2
M1 - 15
ER -