Materials Design and Applications II

Predicting the life of blanking punch is one of the major concerns in designing compound dies. Finite element analysis is performed to determine the maximum and minimum principal stresses through which fatigue limit of punch is estimated. The factors affecting the life of punch are examined and a mathematical model is established using artificial neural network (ANN) and adaptive neuro fuzzy inference systems (ANFIS). The developed model is utilized to evaluate the life of punch for varied load conditions. Comparative evaluation of ANN andANFIS results suggested that the later model is superior in predicting the life of punch and it can be effectively utilized in machine tool applications.

[1]  Jorge Lino Alves,et al.  Low-cost 3D food printing , 2017 .

[2]  M. Faga,et al.  Influence of the heat treatment on the microstructure and machinability of titanium aluminides produced by electron beam melting , 2017 .

[3]  Alin Bosioc,et al.  Unsteady pressure measurements of decelerated swirling flow in a discharge cone at lower runner speeds , 2014 .

[4]  Yongbo Yang,et al.  Static yield stress of ferrofluid-based magnetorheological fluids , 2009 .

[5]  Fritz Klocke,et al.  On high-speed turning of a third-generation gamma titanium aluminide , 2013 .

[6]  Jorge Lino,et al.  “Learning by Doing” Integrated Project Design in a Master Program on Product and Industrial Design , 2018 .

[7]  M. Dargusch,et al.  Characteristics of cutting forces and chip formation in machining of titanium alloys , 2009 .

[8]  Robert E. Newton Fragility Assessment Theory and Test Procedure , 1968 .

[9]  K. Weinert,et al.  Machining Sequence to Manufacture a γ‐TiAl‐Conrod for Application in Combustion Engines , 2006 .

[10]  Leonardo Santana,et al.  A study of parametric calibration for low cost 3D printing: Seeking improvement in dimensional quality , 2017 .

[11]  L. Vékás,et al.  Yield stress and flow behavior of concentrated ferrofluid-based magnetorheological fluids: the influence of composition , 2014, Rheologica Acta.

[12]  T. Lundeberg,et al.  Pain in infants and children—Physiological background and clinical aspects , 2013 .

[13]  Claus Gabriel,et al.  Reliable plate–plate MRF magnetorheometry based on validated radial magnetic flux density profile simulations , 2008 .