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Computer Aided Engineering Of Machine Components

Abstract: Examples of computer aided engineering of machine components are described. In an example, a plurality of features corresponding to a machine component may be obtained. The feature may correspond to at least one of a geometrical aspect of the machine component, a structural aspect of the machine component of the machine component to be manufactured, and a quality aspect pertaining to quality of a discrete geometrical representation to be generated. The features may be analyzed, based on mapping to identify at least one appropriate tool for generating the discrete geometrical representation. The mapping associates a feature with a design attribute of a tool for generating the discrete geometrical representation of the machine component.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
26 December 2016
Publication Number
26/2018
Publication Type
INA
Invention Field
COMPUTER SCIENCE
Status
Email
Parent Application

Applicants

FORD INDIA LTD.
Ford Mail Pouch , Via S.P. Koil Post, Ford India Private Limited, Chengalpattu, Tamil Nadu 603 204, India

Inventors

1. KATARE, Santhoji
No. 13 Kapaleeswarar South Mada Street, Old No. 5, Mylapore, Chennai, Tamil Nadu 600004, India
2. RAM, Gokul
A2 Sri Garudadhri Apartments, Rukmaniammal Street, Gandhi I Main Road,Keelkatalai, Chennai, Tamil Nadu 600117, India
3. VIGNESH, Sanjeeviraj
No: 114, ESI Nesavalar Colony, PSK Nagar Post, Rajapalayam, Tamil Nadu 626108, India
4. Giridharan NAMMALWAR
Apt 1A, No 28, First Main Road, Indira Nagar, Adyar, Chennai, Tamil Nadu 600020, India

Specification

Claims:1. A system (100) for computer aided engineering, the system comprising:
a pre-processing engine (130) to:
obtain a plurality of features corresponding to a machine component, wherein the plurality of features corresponds to at least one of a geometrical aspect of the machine component, a structural aspect of the machine component to be manufactured, and a quality aspect indicating a quality of a discrete geometrical representation to be generated; and
a tool engine (135), wherein the tool engine (135) is to:
analyze the plurality of features based on a mapping, wherein the mapping associates a feature with a design attribute of a tool for generating the discrete geometrical representation of the machine component; and
based on the analysis of the plurality of features, identifying at least one appropriate tool for generating the discrete geometrical representation.

2. The system (100) as claimed in claim 1, wherein the pre-processing engine (130) is to receive a design representation embodying a machine processable file format of a design representation of the machine component to be manufactured.

3. The system (100) as claimed in claim 2, wherein the pre-processing engine (130) is to process the file format embodying the design representation to obtain one or more of the plurality of features.

4. The system (100) as claimed in claim 1, wherein the pre-processing engine (130) is to obtain the plurality of features based on an input from a user.

5. The system (100) as claimed in claim 1, wherein the tool engine (135) is to identify the at least one appropriate tool, based on one or more performance attributes of a tool.

6. The system (100) as claimed in claim 1, wherein based on the analysis, the tool engine (135) is to identify a combination of a plurality of appropriate tools for generating the discrete geometrical representation.

7. The system (100) as claimed in claim 1, wherein based on the analysis, the tool engine (135) is to provide one or more options for generating discrete geometrical representation, each option including at least one tool for generating discrete geometrical representation.

8. The system (100) as claimed in claim 7, wherein the tool engine (135) is to rank the one or more options, based on corresponding processing times.

9. The system (100) as claimed in claim 1, wherein the tool engine (135) is to generate control instructions for initializing the identified at least one appropriate tool for generating the discrete geometrical representation of the machine component.

10. The system (100) as claimed in claim 1, wherein the machine component is one of a powertrain component of an automobile.

11. A method for computer aided engineering comprising:
obtaining a plurality of features corresponding to a machine component, wherein the plurality of features corresponds to at least one of a geometrical aspect of the machine component, a structural aspect of the machine component to be manufactured, and a quality aspect indicating a quality of a discrete geometrical representation to be generated;
analyzing the plurality of features based on a mapping, wherein the mapping associates a feature with a design attribute of a tool for generating the discrete geometrical representation of the machine component; and
based on the analysis of the plurality of features, identifying at least one appropriate tool from among a plurality of tools for generating the discrete geometrical representation.

12. The method as claimed in claim 11, wherein the method further comprises processing a machine processable file format of a design representation of the machine component to obtain the plurality of features.

13. The method as claimed in claim 11, wherein identifying comprises identifying a combination of a plurality of appropriate tools for generating the discrete geometrical representation.

14. The method as claimed in claim 11, wherein identifying the at least one appropriate tool is based on one or more performance attributes of each of the plurality of tools.

15. The method as claimed in claim 11, wherein the method further comprises generating control instructions for initializing the identified at least one appropriate tool for generating the discrete geometrical representation of the machine component.

16. The method as claimed in claim 11, wherein the performance attributes include at least one of a quality of discrete geometrical representation generated by a corresponding tool, and a processing time to generate the discrete geometrical representation.

17. The method as claimed in claim 11, wherein identifying further comprises providing one or more options for generating the discrete geometrical representation, each option including at least one tool for generating discrete geometrical representation.

18. The method as claimed in claim 11, wherein the one or more options are ranked, based on corresponding processing times.

19. A non-transitory computer readable medium having a set of computer readable instructions that, when executed, cause a processor to:
obtain a plurality of features corresponding to a machine component, wherein the plurality of features corresponds to at least one of a geometrical aspect of the machine component, a structural aspect of the machine component to be manufactured, and a quality aspect indicating a quality of a discrete geometrical representation to be generated;
analyze the plurality of features based on a mapping, wherein the mapping associates a feature with a design attribute of a tool for generating the discrete geometrical representation of the machine component; and
based on the analysis of the plurality of features, identify at least one appropriate tool for generating the discrete geometrical representation.
, Description:As Attached

Documents

Application Documents

# Name Date
1 201641044364-CLAIMS [07-06-2022(online)].pdf 2022-06-07
1 Form5_As Filed_26-12-2016.pdf 2016-12-26
2 201641044364-FER_SER_REPLY [07-06-2022(online)].pdf 2022-06-07
2 Form3_As Filed_26-12-2016.pdf 2016-12-26
3 Form2 Title Page_Complete_26-12-2016.pdf 2016-12-26
3 201641044364-FER.pdf 2021-12-10
4 Drawing_As Filed_26-12-2016.pdf 2016-12-26
4 201641044364-FORM 18 [27-11-2020(online)].pdf 2020-11-27
5 Description Complete_As Filed_26-12-2016.pdf 2016-12-26
5 Correspondence by Agent_Proof of Right_17-05-2017.pdf 2017-05-17
6 Other Patent Document [12-05-2017(online)].pdf 2017-05-12
6 Claims_As Filed_26-12-2016.pdf 2016-12-26
7 Correspondence by Agent_Power Of Attorney_17-04-2017.pdf 2017-04-17
7 Abstract_As Filed_26-12-2016.pdf 2016-12-26
8 Form 26 [24-03-2017(online)].pdf 2017-03-24
8 Other Document [10-01-2017(online)].pdf 2017-01-10
9 Form 13 [10-01-2017(online)].pdf 2017-01-10
10 Form 26 [24-03-2017(online)].pdf 2017-03-24
10 Other Document [10-01-2017(online)].pdf 2017-01-10
11 Abstract_As Filed_26-12-2016.pdf 2016-12-26
11 Correspondence by Agent_Power Of Attorney_17-04-2017.pdf 2017-04-17
12 Claims_As Filed_26-12-2016.pdf 2016-12-26
12 Other Patent Document [12-05-2017(online)].pdf 2017-05-12
13 Correspondence by Agent_Proof of Right_17-05-2017.pdf 2017-05-17
13 Description Complete_As Filed_26-12-2016.pdf 2016-12-26
14 201641044364-FORM 18 [27-11-2020(online)].pdf 2020-11-27
14 Drawing_As Filed_26-12-2016.pdf 2016-12-26
15 201641044364-FER.pdf 2021-12-10
15 Form2 Title Page_Complete_26-12-2016.pdf 2016-12-26
16 201641044364-FER_SER_REPLY [07-06-2022(online)].pdf 2022-06-07
16 Form3_As Filed_26-12-2016.pdf 2016-12-26
17 201641044364-CLAIMS [07-06-2022(online)].pdf 2022-06-07
17 Form5_As Filed_26-12-2016.pdf 2016-12-26
18 201641044364-US(14)-HearingNotice-(HearingDate-25-11-2025).pdf 2025-11-06
19 201641044364-Correspondence to notify the Controller [21-11-2025(online)].pdf 2025-11-21

Search Strategy

1 Search044364E_07-12-2021.pdf