Process-independent force characterization for metal-cutting simulation

Journal Article · Wed Jan 01 04:00:00 EST 1997 · Journal of Engineering Materials and Technology

DOI:https://doi.org/10.1115/1.2805980· OSTI ID:445277

Stephenson, D A; Bandyopadhyay, P ^[1]

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1. General Motors Research and Development Center, Warren, MI (United States). Engineering Mechanics Dept.

Obtaining accurate baseline force data is often the critical step in applying machining simulation codes. The accuracy of the baseline cutting data determines the accuracy of simulated results. Moreover, the testing effort required to generate suitable data for new materials determines whether simulation provides a cost or time advantage over trial-and-error testing. The efficiency with which baseline data can be collected is limited by the fact that simulation programs do not use standard force or pressure equations, so that multiple sets of tests must be performed to simulate different machining processes for the same tool-workpiece material combination. Furthermore, many force and pressure equations do not include rake angle effects, so that separate tests are also required for different cutter geometries. This paper describes a unified method for simulating cutting forces in different machining processes from a common set of baseline data. In this method, empirical equations for cutting pressures or forces as a function of the cutting speed, uncut chip thickness, and tool normal rake angle are fit to baseline data from end turning, bar turning, or fly milling tests. Forces in specific processes are then calculated from the empirical equations using geometric transformations. This approach is shown to accurately predict forces in end turning, bar turning, or fly milling tests on five common tool-work material combinations. As an example application, bar turning force data is used to simulate the torque and thrust force in a combined drilling and reaming process. Extrapolation errors and corrections for workpiece hardness variations are also discussed.

• Sponsoring Organization: USDOE
• OSTI ID: 445277
• Journal Information: Journal of Engineering Materials and Technology, Journal Name: Journal of Engineering Materials and Technology Journal Issue: 1 Vol. 119; ISSN 0094-4289; ISSN JEMTA8
• Country of Publication: United States
• Language: English

Related Subjects

36 MATERIALS SCIENCE
CORRELATIONS
CUTTING TOOLS
DRILLING
EXPERIMENTAL DATA
HARDNESS
MACHINING
MATHEMATICAL MODELS
METALS
MILLING
PRESSURE DEPENDENCE
SIMULATION
THEORETICAL DATA
VELOCITY