Abstract: A system, formulation, and method for additive manufacturing of a polishing layer of a polishing pad. The formulation includes a urethane acrylate oligomer based on a difunctional polyol or difunctional polythiol. The techniques includes selecting the difunctional polyol or the difunctional polythiol to affect a property of the polishing layer. The formulation also includes a monomer and a photoinitiator. The viscosity of the formulation is applicable for 3D printing of the polishing layer.

Abstract: A system, formulation, and method for additive manufacturing of a polishing layer of a polishing pad. The formulation includes a urethane acrylate oligomer based on a difunctional polyol or difunctional polythiol. The techniques includes selecting the difunctional polyol or the difunctional polythiol to affect a property of the polishing layer. The formulation also includes a monomer and a photoinitiator. The viscosity of the formulation is applicable for 3D printing of the polishing layer.

Abstract: A method of optimising a sequential combinatorial process comprising an interchangeable sequence of events uses a master model to model a selection of the possible sequences. Information derived from the master model is used in a surrogate model that approximates the master model. The surrogate model calculates all possible sequences using an algorithm to select information calculated by the master model that most closely matches the events of a present sequence, following a prioritised system so that the best match is used wherever possible. All results from the surrogate model are compared to identify the modelled sequence that gives results closest to a desired optimum result.

Abstract: A method of optimising a sequential combinatorial process comprising an interchangeable sequence of events comprises using a master model to model a selection of the possible sequences, and using information derived from the master model in a surrogate model that approximates the master model with a much shorter computation time. The surrogate model calculates all the possible sequences using an algorithm to select from the information calculated by the master model that which most closely matches the events of a present sequence, following a prioritised system so that the best match is used wherever possible. All results from the surrogate model are compared so that the modelled sequence that gives the result closest to a desired optimum result for the process can be identified, and potentially applied to the process.

Abstract: A method of generating a multifidelity model of a system comprises the steps of obtaining training data from a high fidelity model of the system, providing a low fidelity model of the system, providing a kriging model to compensate for discrepancies between the high and low fidelity models, adjusting the kriging model to maximise the likelihood of the training data when the low fidelity model, compensated by the kriging model, is used to model the system, and generating a multifidelity model of the system based on the low fidelity model when compensated by the adjusted by the adjusted kriging model. The system may be a gas turbine or a part of a gas turbine for example a tail bearing housing.