Simulation of 2-D metal cutting by means of a distributed algorithm

Abstract

Temperature distributions involved in some metal cutting or surface milling processes may be obtained by solving a nonlinear inverse problem. A two-level concept on parallelism is introduced to compute such temperature distribution. The primary level is based on a problem partitioning concept driven by the nature and properties of the nonlinear inverse problem. Such partitioning results to a coarsegrained parallel algorithm. A simplified 2-D metal cutting process is used as an example to illustrate the concept. A secondary level exploitation of futher parallel properties based on the concept of domain-data parallelism is explained and implemented using MPI. Some experiments were performed on a network of loosely coupled machines consist of SUN Sparc Classic workstations and a network of tightly coupled processors namely the Origin 2000