Abstract
The determination of the optimal cutting parameters that are able to satisfy specific technological and economic conditions is one of the most important elements in the process planning of metal cutting operations. For multi-pass turning operations, solving the problem of machining economics by optimizing the key cutting parameters including the number of roughing cuts, cutting speeds, depth of cuts, and feed rates has been an important research topic for at least the last two decades. Numerous cutting constraints considering tool life, cutting force, power, stable cutting region, chip—tool interface temperature, and roughing and finishing parameter relations complicate the machining optimization problem. However, no paper in the existing literature has taken into account the influence of the use of lubricants. In recent years, many researchers and experts have urged the minimization (and in same cases total elimination) at the use of lubricants in machining operations to avoid causing environmental and human health problems. Some studies indicate that in fact the purchase costs of lubricants and the costs associated with their use are frequently higher than the costs of the cutting tools. Therefore, metal cutting without fluids has become a new field for technological innovation. This paper presents an evolutionary-strategy-based optimization technique to optimize the cutting conditions in a multi-pass turning process under dry cutting conditions.