Forthcoming articles

 


International Journal of Experimental Design and Process Optimisation

 

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International Journal of Experimental Design and Process Optimisation (1 paper in press)

 

Regular Issues

 

  • ENGINEERING OPTIMIZATION OF PROCESS PARAMETERS FOR POLYMERS: AN OVERVIEW   Order a copy of this article
    by ANUJA AGRAWAL, RAMINDER KAUR, R.S. WALIA 
    Abstract: Polymers are one of the most extensively used materials in the manufacturing industry. Modified to the requirement or specification for a particular application, a variety of methods may be used in processing these materials. To fulfil the requirement of the application and improve the performance of end product, an optimal combination of process parameters is required. This may be achieved through optimization, a promising tool, which provides better performance at a reduced cost. By employing a suitable optimization technique, the properties of polymers can be predicted without performing experiments, which would be very beneficial in terms of time and money saving by preserving materials normally consumed during the experimental optimization phase. In this study, different optimization techniques such as Genetic Algorithm (GA), Artificial Neural Network (ANN), Particle Swarm Optimization (PSO), Taguchi method and others, which have been used to optimize the process parameters in polymers, are discussed in detail. In addition, the detailed algorithm and mathematical expressions used to apply these optimization techniques have also been presented.
    Keywords: Optimization algorithm; controlling factors; design of experiments; performance; process parameter.