High-precision machining behavior of the single crystal scintillator, bismuth germanate (Bi4Ge5O12)

This study focuses on understanding the machinability of a single-crystal scintillator, Bismuth Germanate (BGO), a material widely used in Time-of-Flight Positron Emission Tomography (ToF-PET). The micromachining process of such a hard, brittle material presents several challenges, particularly in maintaining surface integrity without inducing fractures or microcracks. In this work, we employed the Johnson-Holmquist 2 (JH-2) material model to simulate the micro-milling process of BGO. Experimental data from quasi-static uniaxial compression and split tests were used to estimate the key parameters for the JH-2 model. The simulation results closely aligned with experimental outcomes, confirming the reliability of the model in capturing the mechanical behavior of BGO under stress. Simulations were conducted with different machining parameters, successfully replicating the conditions observed in practical machining tests. Our findings demonstrate the impact of feed rate and depth of cut on the machinability of BGO, validating the use of the JH-2 model of this material. Looking ahead, this robust computational framework offers the potential to further optimize the machining process, ultimately enabling the production of high-performance heterostructures for scintillator applications in TOF-PET. • Understanding the machinability of Bismuth Germanate (BGO). • The Johnson-Holmquist 2 (JH-2) material model was employed to simulate the micro-milling process. • Quasi-static compression and split tests provided the data for estimating key parameters for the JH-2 model. • Simulations showed alignment with experimental results, confirming the model’s reliability for BGO under stress. • The computational framework can further optimise the machining process for producing high-performance heterostructures.

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Publication Details

Journal
Materials Today Communications
Published
2025-04-24
DOI
https://doi.org/10.1016/j.mtcomm.2025.112620
Citations
1
Primary Topic
Radiation Detection and Scintillator Technologies
Type
article
Field-Weighted Citation Impact
1.88

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article

High-precision machining behavior of the single crystal scintillator, bismuth germanate (Bi4Ge5O12)

Grégory Bizarri, Nabil Belkhir, E. Rogers, Claudiu Giusca et al.
1 citations
Materials Today Communications
Radiation Detection and Scintillator Technologies
1.88
article

High-precision machining behavior of the single crystal scintillator, bismuth germanate (Bi4Ge5O12)

Grégory Bizarri, Nabil Belkhir, E. Rogers, Claudiu Giusca, Abdelghani Khennab, Kahina Taieb
article en
1 citations

Abstract

This study focuses on understanding the machinability of a single-crystal scintillator, Bismuth Germanate (BGO), a material widely used in Time-of-Flight Positron Emission Tomography (ToF-PET). The micromachining process of such a hard, brittle material presents several challenges, particularly in maintaining surface integrity without inducing fractures or microcracks. In this work, we employed the Johnson-Holmquist 2 (JH-2) material model to simulate the micro-milling process of BGO. Experimental data from quasi-static uniaxial compression and split tests were used to estimate the key parameters for the JH-2 model. The simulation results closely aligned with experimental outcomes, confirming the reliability of the model in capturing the mechanical behavior of BGO under stress. Simulations were conducted with different machining parameters, successfully replicating the conditions observed in practical machining tests. Our findings demonstrate the impact of feed rate and depth of cut on the machinability of BGO, validating the use of the JH-2 model of this material. Looking ahead, this robust computational framework offers the potential to further optimize the machining process, ultimately enabling the production of high-performance heterostructures for scintillator applications in TOF-PET. • Understanding the machinability of Bismuth Germanate (BGO). • The Johnson-Holmquist 2 (JH-2) material model was employed to simulate the micro-milling process. • Quasi-static compression and split tests provided the data for estimating key parameters for the JH-2 model. • Simulations showed alignment with experimental results, confirming the model’s reliability for BGO under stress. • The computational framework can further optimise the machining process for producing high-performance heterostructures.

Materials Today CommunicationsVol. 46
University of Batna 1 (DZ), University Ferhat Abbas of Setif (DZ), Cranfield University (GB)
Cranfield University, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 18%
Radiation Detection and Scintillator Technologies
1.88
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