Hybrid Genetic Optimization for IC Chips Thermal Control - Couverture rigide

Karvinkoppa, Mathew; Hotta, Tapano Kumar

Couverture rigide

ISBN 10 : 1032033533 ISBN 13 : 9781032033532

Editeur : Chapman and Hall/CRC, 2022

Synopsis

The continuous miniaturization of integrated circuit (IC) chips and the increase in the sleekness of the design of electronic components have led to the monumental rise of volumetric heat generation in electronic components.

Hybrid Genetic Optimization for IC Chips Thermal Control: With MATLAB® Applications

focuses on the detailed optimization strategy carried out to enhance the performance (temperature control) of the IC chips oriented at different positions on a switch-mode power supply (SMPS) board and cooled using air under various heat transfer modes. Seven asymmetric protruding IC chips mounted at different positions on an SMPS board are considered in the present study that is supplied with non-uniform heat fluxes.

Key Features:

Provides guidance on performance enhancement and reliability of IC chips

Provides a detailed hybrid optimization strategy for the optimal arrangement of IC chips on a board

The MATLAB program for the hybrid optimization strategy along with its stability analysis is carried out in a detailed manner

Enables thermal design engineers to identify the positioning of IC chips on the board to increase their reliability and working cycle

A propos du livre

À propos de l'auteur

Dr. Mathew V. K. holds a Ph.D. degree in Thermal Management Systems from Vellore Institute of Technology, Vellore, India; M.Tech in Heat Power from the University of Pune, India. He is working in the field of heat transfer enhancement using active and passive cooling. His research interest includes Active and passive safety, Crash energy management, Battery thermal management system, Computational fluid dynamics, Heat transfer, Numerical methods, Optimization using different algorithms (Genetic algorithm, Artificial neural network), and proficient in Experimental techniques.

Dr. Tapano Kumar Hotta is currently working as an Associate Professor in the School of Mechanical Engineering, VIT Vellore, India. He has a Ph.D. degree in Mechanical Engineering from IIT Madras in the area of Electronic cooling. His area of research in a broad sense includes; Active and passive cooling of electronic devices, Heat transfer enhancement, Optimization of thermal systems, Thermal comfort modeling, etc. Dr. Hotta has about 13 years of teaching cum research experience and has around 40 publications to his credit in journals and conferences of international repute. He has guided more than 30 undergraduates, a dozen of postgraduates, and 2 doctorate students for their project work. He has also published 2 patents. He is a member of the editorial board and reviewer for various international journals and conferences related to heat transfer.

À propos de la quatrième de couverture

Hybrid Genetic Optimization for IC Chip Thermal Control: with MATLAB® applications focuses on the detailed optimization strategy carried out to enhance the performance (temperature control) of the IC chips oriented at different positions on an SMPS board (Switch mode power supply) and cooled using air under various heat transfer modes.

Détails de l'édition

• Éditeur: Chapman and Hall/CRC
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 1032033533
• ISBN 13: 9781032033532
• Reliure: Relié
• Numéro d'édition: 1
• Nombre de pages: 136
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne