Hybrid Genetic Optimization for IC Chips Thermal Control: with MATLAB® Applications by Mathew V. K. instant download

Hybrid Genetic Optimization for IC Chips Thermal Control: with MATLAB® Applications by Mathew V. K. instant download

The continuous miniaturization of integrated circuit (IC) chips and the increase in the sleekness of the design of the electronic components have led to the monotonic rise of volumetric heat generation in the electronic components. 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. 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. This will enable thermal design engineers to identify the positioning of IC chips on the substrate board to increase their reliability and working cycle. 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.