Cast-Designer optimizer is the software for multi-criteria nonlinear optimization. It is the ideal solution for:
- Improving performance
- Searching for optimal management laws
- Identification and verification
- Cutting costs
Cast-Designer Optimizer is a unique software package opening up new opportunities for the market of “complex” practical problems. It is used to improve the performance of complex systems, technical facilities and technological processes and to develop new materials based on a search for their optimal parameters.
Gating system optimization result
(for best flow balance and minimum local gas entrapment)
Gating system optimization example
Set 3 SIVs for the coordinate, width of gating and factor to control sub-runner
Cast-Designer Optimization post-process interface
The software also enables lower research expenditures and shorter implementation time. The main purpose of the system is to relieve a designer or researcher of the sufficiently complex and very labour-intensive process of searching for optimal system design parameters which simultaneously meet a great number of sometimes controversial requirements.
What does Cast-Designer Optimizer do?
Cast-Designer Optimizer actually automates the simulation process! Start with an initial design, with gating system and riser or feeder, typically created in the Cast-Designer gating system design functions. Then select the following optimization elements:
Source Input Variables (SIV):
Design elements that are allowed to vary, it could be a geometry parameter of the gating system like the runner dimension, or riser diameter, also could be any parameter of the casting process or boundary conditions, like pouring temperature, or the ejection velocity, or the HTC. All parameters in Cast-Designer could be the SIV, whatever the geometry or parameters, this is unique.
Gravity casting model to optimize the size of riser and shrinkage porosity volume
Riser optimization result
The red points were the Parato points which obtained from the optimization.
This optionation spent 53 runs only in around 10 hours for a 4 cores intel i7 machine.
Relative Input Variables (RIV) or Constraints:
The variables are linked to the source input variable, or with some conditions of data range. The number of RIV is no limitation. For constraints, it used to determine whether a particular design is acceptable. For example, the foundry engineer might specify a minimum acceptable yield percentage, or a maximum acceptable level of porosity.
Result Objectives (RO):
States the target of the simulation, also what the foundry engineer is trying to achieve. Examples might be to maximize the yield, minimize shrinkage or minimize solidification time. Or the minimum gas entrapment and balance flow during the filling process.
Once these elements are identified, the user then launches Cast-Designer Optimizer to run it. This consists of a series of simulations in which the design conditions are varied under the control of the Optimizer solver, model changes are made and simulation results are evaluated, all completely automatically, until the desired result is achieved.
Using Cast-Designer Optimizer, the foundry engineer can start with an initial design and allow the computer to do the work of modifying the design and running simulations to achieve an optimum result.