Abstract

The quality and surface integrity of machined parts is influenced by residual stresses in the subsurface resulting from cutting operations. These stress characteristics can not only affect functional properties such as fatigue life, but also the process forces during machining. Especially for orthogonal cutting as an appropriate experimental analogy setup for machining operations like milling, different undeformed chip thicknesses cause specific residual stress formations in the subsurface area. In this work, the process-related depth profile of the residual stress in AISI 4140 was investigated and correlated to the resulting cutting forces. Furthermore, an analysis of the microstructure of the cut material was performed, using additional characterization techniques such as electron backscatter diffraction and nanoindentation to account for subsurface alterations. On this basis, the influence of process-related stress profiles on the process forces for consecutive orthogonal cutting strategies is evaluated and compared to the results of a numerical model. The insights obtained provide a basis for future investigations on, e. g., empirical modeling of process forces including the influence of process-specific characteristics such as residual stress.

Highlights

  • Process forces occurring in machining operations such as milling are decisive for, e.g., the progress of tool wear [1] or the occurrence of dynamic effects like regenerative chatter [2]

  • Orthogonal cutting strategies were conducted in AISI 4140 to analyze the influence of preceding cuts and their undeformed chip thickness on subsequent cuts

  • The presented results indicate a significant influence of subsurface alterations generated by preceding orthogonal cutting operations causing a decrease of the process forces in the subsequent cut

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Summary

Introduction

Process forces occurring in machining operations such as milling are decisive for, e.g., the progress of tool wear [1] or the occurrence of dynamic effects like regenerative chatter [2]. A precise calculation of the process forces is necessary in order to predict these effects as a means of improving machining operations [1, 3]. For this purpose, empirical models can be used by considering the material removal process based on a geometric analysis of the tool engagement [4, 5]. G., geometric physically-based simulation systems, an efficient evaluation of complex machining strategies with respect to forces and occuring deflections is possible [3]. The chip formation process is not considered on a local scale within the process model of theses simulation systems. Suitable means for a detailed analysis of the chip formation are for instance analytical models [6]

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