The optimal arithmetic is selected. By the dummy experiment design, the multivariant nonlinear regression model between the blade final forging shape optimal objective function and the coordinate of the control points of the B-spline to describe the preform shape is built.
According to the content of this experiment, regression model with 4 factorial polynomial is applied to make a multivariant nonlinear regression analysis of data, multivariant nonlinear regression equation of electrical parameters to roughness and machining time is established, and practical technological parameters are acquired. This study provides proof of theoretical analysis for advanced master of technological rule of MWEDM.
A mathematic model,which deals with the relationship between maximum temperature of thick plate butt multipass welding and weld heat input,interpass temperature,ambient temperature and the distance of measuring points to heat source center,was founded using multivariant nonlinear regression analysis.
ZWZY5 system for prescription-design is of manifeld functions,such as drawing up a prescription plan for orthogonal design test,doing orthogonal regression and optimization operations, deriving regression equations of property targets,obtaining the optimization prescription,predicting properties of welding materials,working out the nonlinear regressions containing lots of unknown numbers,and gaining dozens of welding material prescriptions of a certain known property target.
Linear, nonlinear regression analysis and RBF neural network were used to predict nugget strength based on the input vector which was constructed by factors inspected of electrode displacement signal.
By means of multiple non-linear curve fitting method, was established the mathematic model of rib reduction, which can be applied to production of rib reduction and size selection of cold-drawing materials.
On the basis of the data obtained on Gleeble1500 Thermal Simulator,the predicting models for the relation between flow stress and deformation strain,strain rate and temperature for 50CrV4 have been developed with Artificial Neural Network method. Comparison with nonlinear regression method,the neural network gives better results.
The optimistically calculating pouring parameters of castings are carried out using the multielement non-linear regression analyse. The regressive equation for ingate design are also established. Considering optimum pouring time to obtain perfect castings, a design program to determine the gating system of casting was developed.
In this paper, stress conditions of rib reduction are presented and the influence of the process conditions on rib reduction is investigated. By means of multiple non-linear curve fitting method, was established the mathematic model of rib reduction, which can be applied to production of rib reduction and size selection of cold-drawing materials.
An experiment was conducted for the hot metal deformation resistance of 09cuPRE,16Mn,Q235 grades using the thermal simulation testing machine.According to the effect of deformation temperature,velocity and degree on the deformation resistance,the computation model of deformation resistance was selected.The model parameters were determined through multi-element non-linear regression data processing,resulting in a model with higher fitting accuracy.Charts and tables worked out in accordance with the model can...
An experiment was conducted for the hot metal deformation resistance of 09cuPRE,16Mn,Q235 grades using the thermal simulation testing machine.According to the effect of deformation temperature,velocity and degree on the deformation resistance,the computation model of deformation resistance was selected.The model parameters were determined through multi-element non-linear regression data processing,resulting in a model with higher fitting accuracy.Charts and tables worked out in accordance with the model can be directly referred to.