Design Optimization is an engineering design methodology using a mathematical formulation of a design problem to support selection of the optimal design among many alternatives.
The area of design optimization is where the performance of a design can be made drastically better than an initial naive implementation. Before discussing details of how to make the designs optimal for the individual goals of speed, area and power, it is useful to discuss some principles of what happens when we synthesize a function into hardware.
The engineer makes design decisions which, he/she hopes, lead to an optimal design. If there are many variables to be adjusted with several conflicting objectives and/or constraints, this type of experience-based optimization can fall short of identifying the optimum design. The interactions are too complex and the variables too numerous to intuitively determine the optimum design.
Additive Manufacturing is the process of creating an object by building it one layer at a time. It is the opposite of subtractive manufacturing, in which an object is created by cutting away at a solid block of material until the final product is complete.
It is poised to become a central building block in the future. Already radically changing how products are designed and manufactured, AM’s progress still needs representatives across the manufacturing spectrum to fulfill its potential. New associations can stimulate fresh synergies