TY - JOUR
T1 - On modeling tool performance while machining aluminum-based metal matrix composites
AU - Umer, Usama
AU - Kishawy, Hossam
AU - Ghandehariun, Amirmohammad
AU - Xie, Lijing
AU - Al-Ahmari, Abdulrahman
N1 - Publisher Copyright:
© 2017, Springer-Verlag London.
PY - 2017/10/1
Y1 - 2017/10/1
N2 - Tool performance while machining aluminum-based metal matrix composites has been investigated by developing finite element models based on particle size and volume fraction of the workpiece. Two types of finite element models are developed, i.e., with and without cohesive elements. The effects of varying cutting speed, feed rate, volume fraction, and size of reinforcement particles on tool performance are investigated using both models. It has been found that models without cohesive zone element can predict cutting forces, tool stresses, and temperatures to a reasonable degree of accuracy. The increase in tool stresses and temperatures due to cutting speeds, feed rate, particle size, and volume fraction can be visualized with these models. Models based on cohesive elements can predict localized effect of particle debonding and failure on tool stresses and machined surface. It has been noticed that increase in particle size and cutting speed increases the effects of particle rolling and sliding on the tool face due to increase in kinetic energy resulting in high wear.
AB - Tool performance while machining aluminum-based metal matrix composites has been investigated by developing finite element models based on particle size and volume fraction of the workpiece. Two types of finite element models are developed, i.e., with and without cohesive elements. The effects of varying cutting speed, feed rate, volume fraction, and size of reinforcement particles on tool performance are investigated using both models. It has been found that models without cohesive zone element can predict cutting forces, tool stresses, and temperatures to a reasonable degree of accuracy. The increase in tool stresses and temperatures due to cutting speeds, feed rate, particle size, and volume fraction can be visualized with these models. Models based on cohesive elements can predict localized effect of particle debonding and failure on tool stresses and machined surface. It has been noticed that increase in particle size and cutting speed increases the effects of particle rolling and sliding on the tool face due to increase in kinetic energy resulting in high wear.
KW - Cutting tools
KW - Finite element model (FEM)
KW - Metal matrix composites (MMC)
UR - http://www.scopus.com/inward/record.url?scp=85018317974&partnerID=8YFLogxK
U2 - 10.1007/s00170-017-0368-0
DO - 10.1007/s00170-017-0368-0
M3 - Article
AN - SCOPUS:85018317974
SN - 0268-3768
VL - 92
SP - 3519
EP - 3530
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
IS - 9-12
ER -