{"title":"Thermal Performance of a Layered Bi-PCM Heat Sink With Nano-Reinforcement for Passive Cooling of Power Electronics","authors":"Ahmed Samet, Abderrahim Baccar, Mohamed Haddar","doi":"10.1002/htj.70281","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Effective thermal management of power electronics is essential to ensure operational reliability as device power densities increase. This study numerically investigates the thermal performance of a newly proposed layered biphasic phase‑change material (Bi-PCM) heat sink enhanced with copper nanoparticle reinforcement for passive cooling applications. A two-stage optimization approach is employed, combining architectural design (PCM sequencing and volumetric distribution) with nano-reinforcement strategies, using validated transient computational fluid dynamics simulations based on the enthalpy–porosity method. Among the 10 configurations tested, results show that the Regressive Gradient Strategy, where the high-melting-point PCM (RT55) is positioned adjacent to the heat source, provides superior performance. The optimal configuration (70% RT55–30% RT42) achieves an operational time of 72.04 min, representing a 3.69% improvement compared with the best Progressive Gradient Strategy configuration. This enhancement is attributed to delayed melting onset and improved latent heat utilization. Nano‑reinforcement with uniformly dispersed copper nanoparticles (3 vol% in both layers) further improves the performance of the optimal Bi‑PCM architecture, increasing the operational time by 2.16% (to 73.60 min) and lowering the peak temperature by 5.5% (to 73.34°C) relative to the nonreinforced reference. The results demonstrate that architectural optimization (PCM sequencing and volumetric distribution) plays a dominant role in thermal regulation, while nano‑reinforcement provides a secondary but significant enhancement. The proposed configuration and optimization framework offer physics‑based design guidelines for advanced passive thermal management of power electronics and can be readily extended to multi‑PCM systems.</p>\n </div>","PeriodicalId":44939,"journal":{"name":"Heat Transfer","volume":"55 6","pages":"3704-3725"},"PeriodicalIF":2.7000,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Heat Transfer","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/htj.70281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/5/26 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"THERMODYNAMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Effective thermal management of power electronics is essential to ensure operational reliability as device power densities increase. This study numerically investigates the thermal performance of a newly proposed layered biphasic phase‑change material (Bi-PCM) heat sink enhanced with copper nanoparticle reinforcement for passive cooling applications. A two-stage optimization approach is employed, combining architectural design (PCM sequencing and volumetric distribution) with nano-reinforcement strategies, using validated transient computational fluid dynamics simulations based on the enthalpy–porosity method. Among the 10 configurations tested, results show that the Regressive Gradient Strategy, where the high-melting-point PCM (RT55) is positioned adjacent to the heat source, provides superior performance. The optimal configuration (70% RT55–30% RT42) achieves an operational time of 72.04 min, representing a 3.69% improvement compared with the best Progressive Gradient Strategy configuration. This enhancement is attributed to delayed melting onset and improved latent heat utilization. Nano‑reinforcement with uniformly dispersed copper nanoparticles (3 vol% in both layers) further improves the performance of the optimal Bi‑PCM architecture, increasing the operational time by 2.16% (to 73.60 min) and lowering the peak temperature by 5.5% (to 73.34°C) relative to the nonreinforced reference. The results demonstrate that architectural optimization (PCM sequencing and volumetric distribution) plays a dominant role in thermal regulation, while nano‑reinforcement provides a secondary but significant enhancement. The proposed configuration and optimization framework offer physics‑based design guidelines for advanced passive thermal management of power electronics and can be readily extended to multi‑PCM systems.