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The use of infrared heating as additional energy source, besides convection and radiation, is proposed here to obtain optimum processes.
This selects process types, equipment, finds the best welding orientation, number of set-ups and finds the optimum processes and routes for minimum product cost or lead time.
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This is an important consideration when designing optimum process for later industrial scale up.
As a result, optimum process parameters were determined.
This function then serves to evaluate optimum process variable values.
Optimum process parameters were examined by the method of Taguchi L9 experiment.
An optimizing procedure of the desalinating process by selecting of optimum process parameters will be explained.
Most of them approached the optimum process design problem via numerical method-based process simulations.
The optimum process configuration and operating conditions are obtained stochastically using a genetic algorithm.
The optimum process parameters were determined with reference to tensile shear strength of the joint.
Then, an optimum process presents the same critical and quality times.
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