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Composites can be made more cost competitive by improved composite design, process optimization, and quality control.
The results of the optimization workflow show that both process results and structural capability can be considerably improved, if process optimisation is integrated in the composite design process.
While this provides additional latitude in the composite design process it also necessitates the development of analytical models that can estimate the mechanical properties of a textile composite based on the textile architecture and the properties of the manufactured component.
The UCBDSS can intelligently use the information from the UCL to simplify and automate the composite design process, to increase the design efficiency, and to facilitate the tailored composite structure design.
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Composite part design process proceeds with the designers' gradually eliminating the uncertainty in design parameters.
A set of experiments was designed by central composite design to process modeling and statistically evaluate the findings.
The presented modelling approach shows great potential for application in the composite product design process.
Experiments were performed according to rotatable central composite design and the process parameters were optimized using response surface methodology (RS M.
Experimental results showed that by optimizing the composite design and synthesis process the wear properties could be significantly improved.
Thus, further experiments and optimization were performed using response surface methodology (RSM) based on three-level central composite design to evaluate process conditions.
A fully central composite design for welding process is assessed using analysis of variance and is optimized through response surface methodology.
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