Characterization of material strain and thermal softening effects in the cutting process

https://doi.org/10.1016/j.ijmachtools.2020.103672Get rights and content

Highlights

  • The high-speed filming and induction heating are introduced to the cutting process.

  • At higher heating temperatures, the thickness of the PSZ becomes greater.

  • The strain softening and reduced thermal softening are experimentally observed.

Abstract

Accurate descriptions of workpiece behaviors are indispensable for achieving reliable simulations of the cutting process. However, the material plastic constitutive models obtained through conventional material tests do not apply in the ranges of strain and strain rate encountered in the realistic machining processes. To address this issue, in this study, we attempt to develop a methodology to understand and identify the plastic deformation behaviors based on high-speed filming and induction preheating during the cutting tests. Different levels of strain, strain rate, and temperature are realized by varying the rake angle, cutting velocity, and initial workpiece temperature, respectively. The plastic deformation and temperature rise in the primary shear zone are characterized by the fine-scale digital image correlation technique and heat convection–conduction equation, respectively, thus rendering the machining test into a high-dynamic-material testing method. The material exhibits strain softening in the primary shear zone and a reduced thermal softening effect under rapid heating conditions. These initial findings can deepen the understanding of material behaviors during the cutting process and can be further developed for implementation in numerical machining models.

Introduction

Numerical simulations of the metal cutting process are necessary to increase productivity and optimize tool wear [1], [2] and surface integrity [3], [4]. To apply such approaches, the workpiece behaviors at high plastic strain, strain rate, and temperature as encountered during the cutting process must be determined. However, characterization of the material behaviors under realistic machining conditions is still a challenge because the extremely intense plastic deformation and rapid heating may lead to dynamic recrystallization [5], [6] and hinder the microstructure transformation [7], respectively.

The split Hopkinson bar (SHB) tests depicted in Fig. 1(a) have been conventionally adopted to identify the material’s constitutive parameters for machining simulation. In the SHB tests, by varying the incident velocity of the incident bar and the heating temperature, compressive tests can be conducted with strain rate and temperature reaching up to several 103/s and melting point, respectively.

However, the large strains, high strain rates, and high temperatures concentrated locally in the deformation zones near the cutting tool edge are significantly greater than those achieved by the SHB test. Consequently, extrapolations of the flow stress outside the SHB testing ranges need to be performed. To address the issue of insufficient testing ranges of the SHB, the orthogonal cutting process has been employed as a material test method [8], [9] for intense shear deformation in the primary shear zone (PSZ) as illustrated in Fig. 1(b). With the many developed analytical machining predictive models, the strain, strain rate, temperature, and flow stress along the shear plane (denoted as SP in Fig. 1(b)) can be derived using trial material parameters [9], [10], [11]. Selecting the shear plane for analysis rather than the rear part of the PSZ, which has larger strains, is to simplify the calculation of the shear stress through direct decomposition of the measured cutting forces without having to consider the stresses in the secondary or tertiary shear zone. Subsequently, the material parameters are tuned until a close match is achieved between the calculated and experimentally observed quantities, such as cutting forces, shear angles, and cutting temperatures [12], [13]. The comparison of the SHB with the metal cutting process as a material test method is presented in Table 1.

The samples commonly used for the SHB tests are cylinders with a size of a few millimeters, yielding a quasi-homogeneous plastic deformation, thus reducing the calculation to a one-dimensional (1D) problem. Although the plastic deformation in the through-thickness direction of the workpiece is almost uniform in the case of orthogonal cutting, the thickness of the PSZ is commonly around tens to a few hundred micrometers, exaggerating the heterogeneous behaviors of the material microstructure. Consequently, the shear angle oscillates during the cutting process, which has been observed using high-speed filming [14], [15]. In addition, the material deformations along the streamlines in the PSZ tend to be non-uniform, violating the general assumption of a uniformly distributed strain rate made by analytical models [16]. Therefore, accurate determinations of the strain rate, strain, and temperature are required when the metal cutting process serves as a material test method.

The most common sensors to determine the effective stress of the material are strain gauges attached to the incident and transmitted bars in the SHB tests and a dynamometer attached to the cutting tool or workpiece in the cutting process, respectively. Owing to the high dynamic response of strain gauges, rapid changes in the effective stress can be captured. In contrast, the dynamometer is nearly impossible to capture the dynamic changes in the flow stress, particularly for serrated chip formation owing to its low natural frequency. Without high-bandwidth cutting force measurements, i.e. through the measurements of the dynamic elastic deformation field of the workpiece [17], a steady-state cutting process is preferred when a dynamometer is adopted to derive the flow stress of the material in the PSZ.

In the SHB tests, the achievable maximum strain rate is approximately a few thousand per second, limited by the speed of the incident bar. Meanwhile, strains from 0 to 0.2 can generally be obtained. With regard to the temperature dependence of the yield stress, a heating device using induction or resistive heating is commonly used to achieve thousands of degrees Celsius. The plastic deformation in the cutting process can possess a strain rate of a few thousand to hundreds of thousands per second by varying the cutting velocity. However, the material temperature in the PSZ is typically low because the inherent plastic deformation serves as the sole heat source, thus making the identified material’s model incapable of describing the thermal softening in the secondary or tertiary shear zone. Therefore, an external heat source is required to further enhance the temperature rise, which has rarely been addressed in the inverse identification methods based on the cutting process [18], [19].

In addition, it has been demonstrated that the commonly used parameters, such as cutting forces and chip shapes, are not generally sensitive to changes in the material parameters. For example, an increase in strain hardening or strain rate sensitivity causes an increase in temperature [20], [21]. However, the subsequent thermal softening causes a reduction in the flow stress, indicating that multiple combinations of hardening and softening may lead to similar cutting forces and chip shapes. Therefore, different levels of strain, strain rate, and temperature are required to avoid non-uniqueness during the inverse identification of material parameters based on the orthogonal cutting process.

In this study, a material testing and identification method based on experimental measurements of the orthogonal cutting process is proposed using the flowchart depicted in Fig. 2. The measurements of the strain and strain rate are realized by high-speed filming combined with the digital image correlation (DIC) technique, which has been widely used to study subsurface deformation [17], [22] and chip formation processes [23], [24], [25], [26].

Furthermore, the initial workpiece temperature is elevated by high-frequency induction heating, and the temperature rise in the PSZ is calculated based on a 1D steady-state heat transfer equation. Considerably wider ranges of temperature, strain, and strain rate are achieved by varying the heating temperature, rake angle, and cutting velocity in comparison with previous studies [18], [19]. Furthermore, the plastic parameters of the material are genetically optimized to minimize the discrepancy between the calculated and measured shear stresses along the shear plane.

Section snippets

Experimental setup

During the metal cutting process, the shear plane is commonly assumed to possess the highest strain rate and a large strain in the PSZ. Therefore, it is commonly selected for analysis by the conventional inverse identification methods, because the calculation of its shear stress via decomposition of the measured cutting forces would be much easier than selecting other regions. Moreover, both the localized plastic deformation and high cutting speed result in extremely rapid heating of the work

Material constitutive model

In the metal cutting process, the work material is generally subjected to extremely intense and rapid plastic deformation. Normally, the flow stress is assumed to be dependent on strain, strain rate and temperature. σε,ε̇,T=gεΓε̇ΘTwhere gε, Γε̇, and ΘT are the strain, strain rate, and temperature dependent functions, respectively. Here ε, ε̇, and T are the equivalent plastic strain, strain rate, and temperature, respectively.

I. Strain dependence. During the metal cutting process, dynamic

Identification results and discussions

In this section, the experimental results, including the strain rate along the shear plane and the achievable strain, strain rate, and temperature are introduced. The plastic deformation varies even under the same cutting conditions owing to the heterogeneous behaviors of the material microstructure; therefore, the average values and the corresponding dispersion of the experimental results are presented. Then, the identified material parameters are presented as well as the shear stresses and

Conclusion and outlook

The proposed material testing and identification approach based on the machining process provides a novel and straightforward method to observe and understand the material behaviors when undergoing different levels of plastic deformation and temperature. The main contributions of this study can be summarized as follows.

  • 1.

    The strain and strain rate distributed in the primary shear zone during the cutting process were experimentally measured using the digital image correlation technique in

CRediT authorship contribution statement

Dong Zhang: Conceptualization, Methodology, Investigation, Formal analysis, Data curation, Writing - original draft, Writing - review & editing. Xiao-Ming Zhang: Conceptualization, Methodology, Investigation, Formal analysis, Supervision, Writing - review & editing, Project administration, Funding acquisition. Guang-Chao Nie: Conceptualization, Investigation, Formal analysis. Zheng-Yan Yang: Conceptualization, Investigation, Formal analysis. Han Ding: Conceptualization, Investigation, Formal

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgment

This work was partially supported by the National Natural Science Foundation of China (Grant Nos. 51722505 and 52005200).

References (47)

  • FangN.

    Machining with tool–chip contact on the tool secondary rake face–Part I: a new slip-line model

    Int. J. Mech. Sci.

    (2002)
  • BaizeauT. et al.

    Cutting force sensor based on digital image correlation for segmented chip formation analysis

    J. Mater Process. Technol.

    (2016)
  • ThimmB. et al.

    Using digital image correlation measurements for the inverse identification of constitutive material parameters applied in metal cutting simulations

    Proc. CIRP

    (2019)
  • BäkerM.

    The influence of plastic properties on chip formation

    Comput. Mater. Sci.

    (2003)
  • ShrotA. et al.

    A study of non-uniqueness during the inverse identification of material parameters

    Proc. CIRP

    (2012)
  • OuteiroJ. et al.

    Experimental and numerical assessment of subsurface plastic deformation induced by OFHC copper machining

    CIRP Ann.

    (2015)
  • BrownT. et al.

    A study of the interactive effects of strain, strain rate and temperature in severe plastic deformation of copper

    Acta Mater.

    (2009)
  • HarzallahM. et al.

    A coupled in-situ measurement of temperature and kinematic fields in Ti-6Al-4V serrated chip formation at micro-scale

    Int. J. Mach. Tools Manuf.

    (2018)
  • WyenC.-F. et al.

    Influence of cutting edge radius on cutting forces in machining titanium

    CIRP Ann.

    (2010)
  • ChildsT.H.

    Revisiting flow stress modelling for simulating chip formation of carbon and low alloy steels

    Proc. CIRP

    (2019)
  • PulsH. et al.

    Experimental investigation on friction under metal cutting conditions

    Wear

    (2014)
  • ZhangD.-N. et al.

    A modified Johnson-Cook model of dynamic tensile behaviors for 7075-T6 aluminum alloy

    J. Alloys Compd.

    (2015)
  • MolnarT. et al.

    Experimental investigation of dynamic chip formation in orthogonal cutting

    Int. J. Mach. Tools Manuf.

    (2019)
  • Cited by (29)

    View all citing articles on Scopus
    View full text