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

di Mathew V. K. (Autore)

Tapano Kumar Hotta (Autore)

Taylor & Francis Ltd, 2022

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

• Autore: Mathew V. K., Tapano Kumar Hotta
• Editore: Taylor & Francis Ltd
• Collana: Advances in Metaheuristics
• Anno: 2022
• Rilegatura: Hardback
• Pagine: 156 p.
• Dimensioni: 234 x 156 mm
• Peso: 453 gr.
• EAN: 9781032033532

Testo in English