Musaddiq Al Ali

Prof. Dr. Musaddiq Al Ali

Advanced Science and Tchnology, Toyota Technological Institute, Nagoya, Aichi, Japan
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 April 2022 in International Journal of Thermal Sciences
Verified
Journal Article
Closed access
Musaddiq Al AliMusaddiq Al Ali
Musaddiq Al Ali
MSMasatoshi Shimoda
Masatoshi Shimoda

9 July 2022 in Structural and Multidisciplinary Optimization
Verified
Journal Article
Closed access
PDF file
Musaddiq Al AliMusaddiq Al Ali
Musaddiq Al Ali
MSMasatoshi Shimoda
Masatoshi Shimoda

11 April 2023 in International Journal for Numerical Methods in Engineering
Verified
Journal Article
Closed access
Musaddiq Al AliMusaddiq Al Ali
Musaddiq Al Ali
MSMasatoshi Shimoda
Masatoshi Shimoda

16 December 2022 in International Journal for Numerical Methods in Engineering
Verified
Journal Article
Closed access
MTMihiro Torisaki
Mihiro Torisaki
MSMasatoshi Shimoda
Masatoshi Shimoda
Musaddiq Al AliMusaddiq Al Ali
Musaddiq Al Ali

10 February 2024 in Scientific Reports
Verified
Journal Article
Open access
PDF file
Musaddiq Al AliMusaddiq Al Ali
Musaddiq Al Ali
MSMasatoshi Shimoda
Masatoshi Shimoda
BBBrahim Benaissa
Brahim Benaissa
MKMasakazu Kobayashi
Masakazu Kobayashi
TTTsunehiro Takeuchi
Tsunehiro Takeuchi
SRSina Ranjbar
Sina Ranjbar
This study investigates the application of the Metaheuristic Aided Structural Topology Optimization (MASTO) method as a novel approach to address the multiphysics design challenge of creating a heat sink with both high heat conductivity and minimal Electromagnetic Interference (EMI). A distinctive 2D layout with elongated fins is examined for electromagnetic traits, highlighting resonance-related EMI concerns. MASTO proves to be a valuable tool for navigating the complex design space, yielding thoughtfully optimized solutions that harmonize efficient heat dissipation with effective EMI control. By merging simulation findings with practical observations, this study underscores the potential of the MASTO method in achieving effective designs for intricate multiphysics optimization problems. Specifically, the method's capacity to address the complex interplay of heat transfer with convection and the suppression of electromagnetic emissions is showcased. Moreover, the study demonstrates the feasibility of translating these solutions into tangible outcomes through manufacturing processes.

17 October 2023 in Computer Physics Communications
Verified
Journal Article
Closed access
Musaddiq Al AliMusaddiq Al Ali
Musaddiq Al Ali
MSMasatoshi Shimoda
Masatoshi Shimoda