Framework to assess technical feasibility of designs for additive manufacturing

Patent metadata

Field	Value
Publication number	US-11537904-B2
Application number	US-201816172681-A
Country	US
Kind code	B2
Filing date	Oct 26, 2018
Priority date	Oct 27, 2017
Publication date	Dec 27, 2022
Grant date	Dec 27, 2022

Abstract

A framework for assessing technical feasibility of additive manufacturing of an engineering design. This framework needs to be based on preliminary identification of key parameters that influence the decision making process. The parameters may also be customized for a particular application. Each of these parameters can be assigned weightage either relative or arrived at by paired comparison using a pre-determined minimum point method. Each of the attributes are then assigned scores which are then multiplied by the weightages assigned. The summation of all such scores on a weighted average basis indicates the potential for 3D printing of that part or assembly. It offers to select the right part to leverage the benefit of additive manufacturing. It narrows down on the ideal manufacturing process for the qualified parts and proposes to reduce subjectivity by using paired comparison of attributes. It also provides a faster assessment of technical aspects of the design.

First claim

What is claimed is:

1. A system for assessing technical feasibility of additive manufacturing of one or more parts of an engineering design, the system comprising:
a memory with a plurality of instructions;
at least one processor, wherein the processor is communicatively coupled with the memory, and the processor is configured to:
receive at least one input from user, wherein the received at least one input directs to a preliminary assessment, importance rating and technical assessment of the engineering design, and wherein the inputs relate to regulatory aspects, intellectual property laws compliance, and criticality of the engineering design;
assess the engineering design, based on a plurality of attributes of one or more aspects of the engineering design, wherein the plurality of attributes are customizable to suit one or more aspects of the engineering design;
assign weightage corresponding to each of the plurality of attributes based on paired comparison of the plurality of attributes using a predetermined minimum point method;
assess each of the plurality of attributes by using decision matrix method to arrive at a weighted overall score for each of the plurality of attributes depending on the assigned weightage corresponding to each of the plurality of attributes; and
recommend the most suitable additive manufacturing processes for the engineering design based on one or more predefined design rules and the weighted overall score, wherein the recommendation is used to decide whether to select an additive manufacturing process from a predefined list of additive manufacturing processes or to re-design for additive manufacturing process or to stop the assessment process over the engineering design, wherein summation of all the weighted overall scores on a weighted average basis indicates a potential for 3D printing of each part or assembly, and offers to select a right part to leverage benefits of the additive manufacturing process.

2. The system claimed in claim 1 , comprises the plurality of attributes for the preliminary assessment of one or more aspects of the engineering design.

3. The system claimed in claim 1 , wherein receiving inputs includes one or more assessment attributes, technical data and economic data.

4. The system claimed in claim 1 , wherein assessment score corresponding to each of the plurality of attributes is obtained using detailed assessment module.

5. A method for assessing technical feasibility of additive manufacturing of one or more parts of an engineering design, the method comprising:
receiving at least one input from an user, wherein the received at least one input directs a preliminary assessment, importance rating and technical assessment of the engineering design, and wherein the inputs relate to regulatory aspects, intellectual property laws compliance, and criticality of the engineering design;
assessing one or more aspects of the engineering design, wherein the preliminary assessment module comprises a plurality of attributes for quick assessment of one or more aspects of the engineering design, wherein the plurality of attributes are customizable to suit one or more aspects of the engineering design;
assigning a weightage corresponding to each of the plurality of attributes, wherein the assignment based on paired comparison of the plurality of attributes using a predetermined minimum point method;
assessing each of the plurality of attributes by using decision matrix method to arrive at a weighted overall score for each of the plurality of attributes depending on the assigned weightage corresponding to each of the plurality of attributes; and
recommending the most suitable additive manufacturing processes for the engineering design based on one or more predefined design rules, wherein the recommendation is used to decide whether to select an additive manufacturing process from a predefined list of additive manufacturing processes or to re-design for additive manufacturing process or to stop the assessment process over the engineering design, wherein summation of all the weighted overall scores on a weighted average basis indicates a potential for 3D printing of each part or assembly, and offers to select a right part to leverage benefits of the additive manufacturing process.

6. A non-transitory computer readable medium storing one or more instructions which when executed by a processor on a system, cause the processor to perform method for assessing technical feasibility of additive manufacturing of one or more parts of an engineering design comprising:
receiving at least one input from an user, wherein the received at least one input directs a preliminary assessment, importance rating and technical assessment of the engineering design, and wherein the inputs relate to regulatory aspects, intellectual property laws compliance, and criticality of the engineering design;
assessing one or more aspects of the engineering design, wherein the preliminary assessment module comprises of a plurality of attributes for quick assessment of one or more aspects of the engineering design, wherein the plurality of attributes are customizable to suit one or more aspects of the engineering design;
assigning a weightage corresponding to each of the plurality of attributes, wherein the assignment based on paired comparison of the plurality of attributes using a predetermined minimum point method;
assessing each of the plurality of attributes by using decision matrix method to arrive at a weighted overall score for each of the plurality of attributes depending on the assigned weightage corresponding to each of the plurality of attributes; and
recommending the most suitable additive manufacturing processes for the engineering design based on one or more predefined design rules, wherein the recommendation is used to decide whether to select an additive manufacturing process from a predefined list of additive manufacturing processes or to re-design for additive manufacturing process or to stop the assessment process over the engineering design, wherein summation of all the weighted overall scores on a weighted average basis indicates a potential for 3D printing of each part or assembly, and offers to select a right part to leverage benefits of the additive manufacturing process.

Assignees

• Tata Consultancy Services Ltd

Inventors

• Balaji Sukhdev
• Pathuri Goutham
• Krishna Ankur
• Zagade Pramod Ramdas
• Daniel Arockiam

Classifications

• G06Q50/04

  Manufacturing · CPC title

• G06F30/00

  Computer-aided design [CAD] · CPC title

• G06N5/04

  Inference or reasoning models · CPC title

• G06F30/17 Primary

  Mechanical parametric or variational design · CPC title

• B33Y50/00 Primary

  Data acquisition or data processing for additive manufacturing · CPC title