GR

G. Reales Gutiérrez

info

Please Note

6 records found

Journal article (2025) - G. Reales Gutiérrez, A. M. Aragón, H. F.L. Goosen, A. Bornheim, A. van Keulen
This paper addresses the topology optimization of thermocouples for cooling applications, considering stress constraints to enhance reliability under service loads. We provide a first approach to derive sensitivities using SIMP (solid isotropic material with penalization) for thermo-electro-mechanical systems with temperature-dependent material properties. The proposed formulation decouples the thermoelectrical system from the mechanical degrees of freedom reducing computational memory usage from a fully coupled approach. The study focuses on the formulation of thermocouples for cooling applications using the Peltier effect, which considers electrical power limits, electrical working points, and material stress thresholds. Furthermore, while the thermoelectrical problem does not show the need for filtering techniques, including the mechanical degrees of freedom, we show that we recover undesirable porous optimized designs. We provide 2D thermocouple example optimizations with geometries and boundary conditions based on a practical case for the implementation of thermoelectric coolers in the Minimum Ionizing Particle Timing Detector (MTD) at CERN. The optimizations are performed with increased complexity, including the unfiltered thermoelectrical and thermo-electro-mechanical problems and a Helmholtz-filtered examples. The optimizations are compared with constant and nonlinear material properties with temperature and with respect to the consideration of air-conductance losses within the devices. Although more efficient topologies can be achieved without the need for volume constraints, we include an example with a constraint of 60% volume to understand its effect on the design and provide a methodology to reduce semiconductor-associated costs at lower efficiency costs. Finally, we explore the same formulation in 3D. The results provide guidelines for manufacturing compliant thermocouples, increasing their reliability without decreasing efficiency. ...

Improving Timing Resolution through Numerical Design Optimization

The objective of particle detectors in high-energy physics research is to reveal the fundamental laws of nature. The Minimum Ionizing Particle Detector (MTD) has been designed to enhance the timing precision of theCMS (Compact Muon Solenoid) detector at CERN to 50 ps under the increased number of particle impacts after upgrading the Large Hadron Collider (LHC) to the High-Luminosity LHC. The Barrel Timing Layer (BTL) segment of the MTD uses silicon photodetectors (SiPMs), whose timing accuracy depends on their operating temperature and the number of photons they detect. This dissertation presents numerical methods to improve the timing precision of these SiPMs through the design of thermoelectrical coolers and scintillation crystals. On the one hand, thermoelectrical coolers (TECs) can lower the SiPMs temperature, reducing signal-to-noise ratio and recovering radiation-induced damage through controlled annealing procedures. We provide an analytical model to study the landscape of TEC topology optimization with a lower temperature objective, power constraints and two density design variables. This study leads to the recommendation of penalization coefficients for SIMP (solid isotropic material with penalization) in the form of kp = kσ > kα with kp the thermal conductivity, kσ the electrical conductivity and kα the Seebeck’s penalization coefficient to reduce the nonconvexity induced by the power constraint. These coefficients reduce nonconvexity from power constraints, allowing FEM topology optimization via SIMP to achieve lower material volumes and temperatures without volume constraints and filtering schemes. FEM optimization examples are provided, which incorporate electrical working points through a voltage gradient design variable and constant material properties. These examples reduce the temperature by up to 10 ◦C compared to the optimal electrical working point of the original designs. Finally, comparing these results with designs with non-linear, temperature-dependent properties shows that the use of constant material properties can lower computational costs and improve design performance. Although optimized designs achieve lower temperatures, TECs are fragile. The construction of the BTL highlights this fragility, prompting an extension of the design to address operational thermal and mechanical loads. This work introduces a FEM-based topology optimization for the coupled thermoelectromechanical problem using SIMP. This also includes the formulation with nonlinear material properties, and how to deal with the checkerboarding with the extended mechanical degree Celsiuss of freedom. The optimized designs reduce stress concentrations by half while enhancing cooling capabilities. On the other hand, we complement the lower signal-to-noise ratio obtained from using TECs, with an increased number of photon impacts enhancing the SiPM signal. The number of photons created or the scintillation light yield depends on the material composition of the scintillators. However, the photon arrival count at SiPMs is influenced by their reflective surfaces and volume. We provide a model of BTL within GEANT4, a ray-tracing particle-matter interaction software. This model incorporates the effect of the particle impact location and is used in conjunction with NSGAII (non-dominated sorting genetic algorithm) to optimize scintillator shapes to increase the photon detection count. The study uses multiple objective functions based on the stochastic nature of the arrival photons. From these results, the recommended objective function is the mean light collection per energy deposition and the ionizing particle track length, reducing statistical errors and accounting for energy deposition. The results provide relative gains to the original designs in the objective function between 15 and 38%. To overcome the computational limits of Monte Carlo methods, we follow up by translating the scintillation equations into a transient wave for FEM simulations, matching GEANT4 pulse shapes. Furthermore, we perform a shape optimization using a static frequency domain scintillation model replicating the variable influence within GEANT4. The optimal designs obtained with FEM are validated within GEANT4, obtaining gains of the order of 7.7%. These gains were achieved with less than 1% of the computational resources needed to perform the GEANT4 optimizations. ...
Journal article (2024) - F. Addesa, T. Anderson, More Authors..., P. Barria, A. Bethani, A. Bornheim, F. Cetorelli, F. Lombardi, B. Marzocchi, N. Redaelli, G. Reales Gutiérrez
For the High-Luminosity (HL-LHC) phase, the upgrade of the Compact Muon Solenoid (CMS) experiment at CERN will include a novel MIP Timing Detector (MTD). The central part of MTD, the barrel timing layer (BTL), is designed to provide a measurement of the time of arrival of charged particles with a precision of 30 ps at the beginning of HL-LHC, progressively degrading to 60 ps while operating in an extremely harsh radiation environment for over a decade. In this paper we present a comparative analysis of the time resolution of BTL module prototypes made of LYSO:Ce crystal bars read out by silicon photo-multipliers (SiPMs). The timing performance measured in beam test campaigns is presented for prototypes with different construction and operation parameters, such as different SiPM cell sizes (15, 20, 25 and 30 μm), SiPM manufacturers and crystal bar thicknesses. The evolution of time resolution as a function of the irradiation level has been studied using non-irradiated SiPMs as well as SiPMs exposed up to 2 × 1014 neq/cm2 fluence. The key parameters defining the module time resolution such as SiPM characteristics (gain, photon detection efficiency, radiation induced dark count rate) and crystal properties (light output and dimensions) are discussed. These results have informed the final choice of the MTD barrel sensor configuration and offer a unique starting point for the design of future large-area scintillator-based timing detectors in either low or high radiation environments. ...
Journal article (2024) - G. Reales, F. van Keulen, A. M. Aragón, J. F.L. Goosen, A. Bornheim
Inorganic scintillators often use exotic, expensive materials to increase their light yield. Although material chemistry is a valid way to increase the light collection, these methods are expensive and limited to the material properties. As such, alternative methods such as the use of specific reflective coatings and crystal optical shapes are critical for the scintillator crystal design procedure. In this paper, we explore the modeling of a scintillator and silicon-photomultiplier (SiPM) assembly detector using GEANT4. GEANT4, an open-source software for particle–matter interaction based on ray-tracing, allows the modeling of a scintillator-based detector while offering methods to simplify and study the computational requirements for a precise calculation of the light collection. These studies incorporate two different geometries compatible with the barrel timing layer (BTL) particle detector that is being built for the compact muon solenoid (CME) experiment at CERN. Furthermore, the geometry of our model is parameterized using splines for smoother results and meshed using GMSH to perform genetic numerical optimization of the crystal shape through genetic algorithms, in particular non-dominated sorting genetic algorithm II (NGSAII). Using NSGA-II, we provide a series of optimized scintillator geometries and study the trade-offs of multiple possible objective functions including the light output, light collection, light collection per energy deposited, and track path length. The converged Pareto results according to the hypervolume indicator are compared to the original simplified design, and a recommendation towards the use of the light collection per energy deposition and track path length is given based on the results. The results provide increases in this objective of up to 18% for a constant volume for a geometry compatible with the current design of the BTL detector. ...

A power-constrained topology optimization procedure

Journal article (2024) - G. Reales Gutiérrez, F. van Keulen, J. F.L. Goosen, A. M. Aragón, A. Bornheim
Heat pumping through thermoelectric devices has many advantages over traditional cooling. However, their current efficiency is a limiting factor in their implementation. In this paper, we approach the non-convex topology optimization of thermoelectrical elements for cooling applications through the method of moving asymptotes (MMA) to improve their cooling capabilities per watt usage. The optimization problem is defined for a given power budget, aiming for the minimum temperature with a known heat pumping need. The introduction of power as a constraint justifies the introduction of the voltage gradient across the thermocouple as a design variable to maintain the thermoelectrical device in its optimum power-to-heat extraction ratio. To better understand the convergence of this non-convex problem, we present a two-variable analytical thermoelectric optimization model. This example provides information on how to select the penalty parameters used to scale the three material coefficients involved in the problem to obtain lower objective values and better convergence using MMA. The analytical model shows the non-convexity of the problem and provides the recommendation to use penalization coefficients of the form pk=pσ>pα=1 for the thermal conductivity, electrical conductivity, and Seebeck coefficients. We tested these penalization coefficients through optimizations of a model based on the 1MC10-031 commercial thermoelectric-cooler (TEC) using the finite element method (FEM). These penalization coefficients provided local minima without the need for volume constraints. With this procedure, we found designs that provided temperatures close to 10 degrees lower using 60% less semiconductor material volume compared to the initial design. ...
Journal article (2023) - A. Bornheim, W. Lustermann, K. Stachon, G. Reales Gutiérrez, A. Benaglia, F. De Guio, A. Ghezzi, M. T. Lucchini, M. Malberti, More Authors...
The barrel section of the novel MIP Timing Detector (MTD) will be constructed as part of the upgrade of the CMS experiment to provide a time resolution for single charged tracks in the range of 30-60 ps using LYSO:Ce crystal arrays read out with Silicon Photomultipliers (SiPMs). A major challenge for the operation of such a detector is the extremely high radiation level, of about 2 × 1014 1 MeV(Si) Eqv. n/cm2, that will be integrated over a decade of operation of the High Luminosity Large Hadron Collider (HL-LHC). Silicon Photomultipliers exposed to this level of radiation have shown a strong increase in dark count rate and radiation damage effects that also impact their gain and photon detection efficiency. For this reason during operations the whole detector is cooled down to about -35°C. In this paper we illustrate an innovative and cost-effective solution to mitigate the impact of radiation damage on the timing performance of the detector, by integrating small thermo-electric coolers (TECs) on the back of the SiPM package. This additional feature, fully integrated as part of the SiPM array, enables a further decrease in operating temperature down to about -45°C. This leads to a reduction by a factor of about two in the dark count rate without requiring additional power budget, since the power required by the TEC is almost entirely offset by a decrease in the power required for the SiPM operation due to leakage current. In addition, the operation of the TECs with reversed polarity during technical stops of the accelerator can raise the temperature of the SiPMs up to 60°C (about 50°C higher than the rest of the detector), thus accelerating the annealing of radiation damage effects and partly recovering the SiPM performance. ...