Simulations of Machining Processes
at Small Spatio-temporal Scales
Anish Roy, Qiang Liu, Uday S. Dixit, and Vadim V. Silberschmidt
1 Introduction
Manufacturing at small scale has become increasingly important with the advent of
modern electronic devices. In this regard, microelectromechanical systems (MEMS)
are a typical example, since their components range in sizes from 1 μm to 1 mm.
Manufacturing such small devices is no easy task, as precision is of utmost importance. Production of small components and devices is highly restrictive with manufacturability, with its associated costs largely determining what is possible. Thus,
component designers conceive parts in terms of processes and materials that were
used in the past and proved to be economical. The design process is usually performed
using trial and error, typically requiring numerous iterations before satisfying the
performance requirements of a given device. This non-ideal design methodology
combined with the length of time and high costs associated with prototyping makes
the entire process inefficient for commercial product development.
Numerical modelling of the manufacturing process if done accurately can be
invaluable in assessing the consequences of various techniques in manufacture,
thereby opening possibilities not previously considered. However, inaccurate material information can render the component’s response and performance virtually
useless. Thus, there is a clear need to understand the mechanical behaviour of materials and develop advanced simulation and modelling tools to help designers to select
appropriate manufacturing processes and materials for component manufacture at a
A. Roy (B) · Q. Liu · V. V. Silberschmidt
Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough
University, Loughborough LE11 3TU, UK
e-mail: a.roy3@lboro.ac.uk
U. S. Dixit
Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati
781039, India
© Springer Nature Singapore Pte Ltd. 2021
U. S. Dixit and S. K. Dwivedy (eds.), Mechanical Sciences,
https://doi.org/10.1007/978-981-15-5712-5_10
241
at Small Spatio-temporal Scales
Anish Roy, Qiang Liu, Uday S. Dixit, and Vadim V. Silberschmidt
1 Introduction
Manufacturing at small scale has become increasingly important with the advent of
modern electronic devices. In this regard, microelectromechanical systems (MEMS)
are a typical example, since their components range in sizes from 1 μm to 1 mm.
Manufacturing such small devices is no easy task, as precision is of utmost importance. Production of small components and devices is highly restrictive with manufacturability, with its associated costs largely determining what is possible. Thus,
component designers conceive parts in terms of processes and materials that were
used in the past and proved to be economical. The design process is usually performed
using trial and error, typically requiring numerous iterations before satisfying the
performance requirements of a given device. This non-ideal design methodology
combined with the length of time and high costs associated with prototyping makes
the entire process inefficient for commercial product development.
Numerical modelling of the manufacturing process if done accurately can be
invaluable in assessing the consequences of various techniques in manufacture,
thereby opening possibilities not previously considered. However, inaccurate material information can render the component’s response and performance virtually
useless. Thus, there is a clear need to understand the mechanical behaviour of materials and develop advanced simulation and modelling tools to help designers to select
appropriate manufacturing processes and materials for component manufacture at a
A. Roy (B) · Q. Liu · V. V. Silberschmidt
Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough
University, Loughborough LE11 3TU, UK
e-mail: a.roy3@lboro.ac.uk
U. S. Dixit
Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati
781039, India
© Springer Nature Singapore Pte Ltd. 2021
U. S. Dixit and S. K. Dwivedy (eds.), Mechanical Sciences,
https://doi.org/10.1007/978-981-15-5712-5_10
241