Hybrid Genetic Optimization for IC Chips Thermal Control

£46.99

Hybrid Genetic Optimization for IC Chips Thermal Control

With MATLAB® Applications

Applied mathematics Electrical engineering Electronics engineering Information technology: general topics Algorithms and data structures Programming and scripting languages: general Software Engineering Mathematical theory of computation Neural networks and fuzzy systems

Authors: Mathew V. K., Tapano Kumar Hotta

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Collection: Advances in Metaheuristics

Language: English

Published by: Chapman and Hall/CRC

Published on: 7th June 2022

Format: LCP-protected ePub

Size: 6 Mb

ISBN: 9781000590432


Introduction

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.

Book Focus

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

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