Claims:WE CLAIM
1. A method of generating a plurality of physical design parameters of an object, the method comprising:
receiving, by a design simulation device, a graphical design of the object along with a desired axis of rotation;
categorizing, by the design simulation device, the object into an object type based on the graphical design of the object and the desired axis of rotation of the object;
determining, by the design simulation device, a regression weight and a regression estimate for each of the plurality of physical design parameters based on the object type, wherein the plurality of physical design parameters comprises at least one of a mass, a radius, an acceleration, an initial velocity, a final velocity, a time, a distance, or a displacement of the object;
determining, by the design simulation device, a plurality of proximity metrics based on the regression estimate for each of the plurality of physical design parameters;
adjusting, by the design simulation device, the regression weight for each of the plurality of physical design parameters based on the plurality of proximity metrics; and
generating, by the design simulation device, a value for each of the plurality of physical design parameters based on the corresponding adjusted regression weight.

2. The method of claim 1, wherein the object type is one of a plurality of object types, and wherein the plurality of object types comprises at least one of regular and continuous object, regular mass object, or discontinuous mass object.

3. The method of claim 1, wherein categorizing the object comprises:
determining a shape of the object based on the graphical design of the object;
determining a distribution of mass within the object based on the shape of the object; and
categorizing the object based on the shape of the object, the distribution of mass within the object, and the desired axis of rotation of the object.

4. The method of claim 3, wherein determining the shape of the object comprises analyzing a contour of the object from the graphical design of the object.

5. The method of claim 3, wherein determining the distribution of mass within the object comprises analyzing a pixel area covered by the shape of the object, and wherein the distribution of mass is continuous or discontinuous.

6. The method of claim 1, wherein determining the regression weight and the regression estimate for each of the plurality of physical design parameters comprises:
providing an observed value or an assumed value for each of the plurality of physical design parameters in a sample set based on the object type; and
performing a regression analysis among a set of related physical design parameters.

7. The method of claim 6, wherein performing the regression analysis comprises applying statistical algorithm to perform at least one of linear regression, multi regression, or nested regression.

8. The method of claim 6, wherein determining the plurality of proximity metrics comprises:
ranking the regression estimate for each of the plurality of physical design parameters in the sample set based on a proximity with the corresponding observed value or the corresponding assumed value for each of the plurality of physical design parameters in the sample set using a correlation analysis; and
determining the plurality of proximity metrics based on the ranking.

9. The method of claim 8, wherein adjusting the regression weight comprises adjusting the regression weight for each of the plurality of physical design parameters based on the plurality of proximity metrics for a plurality of sample sets over a period of time.

10. The method of claim 1, wherein determining the plurality of proximity metrics comprises determining a relativity among each of the plurality of physical design parameters based on a correlation analysis.

11 The method of claim 1, further comprising simulating an inertia effect of machine design based on the generated values of the plurality of physical design parameters.

12. A system for generating a plurality of physical design parameters of an object, the system comprising:
a design simulation device comprising at least one processor and a computer-readable medium storing instructions that, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
receiving a graphical design of the object along with a desired axis of rotation;
categorizing the object into an object type based on the graphical design of the object and the desired axis of rotation of the object;
determining a regression weight and a regression estimate for each of the plurality of physical design parameters based on the object type, wherein the plurality of physical design parameters comprises at least one of a mass, a radius, an acceleration, an initial velocity, a final velocity, a time, a distance, or a displacement of the object;
determining a plurality of proximity metrics based on the regression estimate for each of the plurality of physical design parameters;
adjusting the regression weight for each of the plurality of physical design parameters based on the plurality of proximity metrics; and
generating a value for each of the plurality of physical design parameters based on the corresponding adjusted regression weight.

13. The system of claim 12, wherein categorizing the object comprises:
determining a shape of the object by analyzing a contour of the object from the graphical design of the object;
determining a distribution of mass within the object by analyzing a pixel area covered by the shape of the object, wherein the distribution of mass is continuous or discontinuous; and
categorizing the object based on the shape of the object, the distribution of mass within the object, and the desired axis of rotation of the object.

14. The system of claim 12, wherein determining the regression weight and the regression estimate for each of the plurality of physical design parameters comprises:
providing an observed value or an assumed value for each of the plurality of physical design parameters in a sample set based on the object type; and
performing a regression analysis among a set of related physical design parameters.

15. The method of claim 14, wherein determining the plurality of proximity metrics comprises:
ranking the regression estimate for each of the plurality of physical design parameters in the sample set based on a proximity with the corresponding observed value or the corresponding assumed value for each of the plurality of physical design parameters in the sample set using a correlation analysis; and
determining the plurality of proximity metrics based on the ranking.

16. The method of claim 15, wherein adjusting the regression weight comprises adjusting the regression weight for each of the plurality of physical design parameters based on the plurality of proximity metrics for a plurality of sample sets over a period of time.

17 The system of claim 12, wherein the operations further comprise simulating an inertia effect of machine design based on the generated values of the plurality of physical design parameters.

Dated this 12th day of December, 2017

R Ramya Rao
IN/PA-1607
Of K&S Partners
Agent for the Applicant , Description:TECHNICAL FIELD
This disclosure relates generally to machine design, and more particularly to method and system for generating physical design parameters of an object.