Additive Manufacturing Thermal Field Process Mapping

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Solution Overview

Problem

Current additive manufacturing processes lack efficient methods for mapping and controlling thermal field characteristics, such as average melt pool temperature and evaporation rate, which affects the quality and consistency of fabricated parts.

Innovation Solution

The development of process mapping techniques that assess and generate maps of thermal field characteristics based on primary process variables like heat source power, translation speed, and material feed rate, allowing for the identification of optimal variable combinations and sensitivity analysis to improve part quality and reduce variability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If traditional additive manufacturing processes are used without process mapping, then experimentation and development time are reduced, but manufacturing precision and control of thermal field characteristics deteriorate

Engineering Contradiction:
Improvecontrol of thermal field characteristicsVSAvoidexperimentation and development time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by conducting process mapping experiments in advance to establish the relationship between process variables and thermal field characteristics before actual manufacturing. This creates a predictive model that allows optimization of thermal fields without repeated experimentation during production, thus improving manufacturing precision while reducing time loss through pre-established knowledge

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements feedback by using the process maps to predict thermal field characteristics based on process variables, then using this information to adjust and optimize the process parameters. This closed-loop approach enables continuous improvement of manufacturing precision through iterative refinement based on predicted versus actual outcomes

Inventive Principle:
Principle #23Feedback

2Manufacturing precision

If process mapping is conducted to map thermal field characteristics, then manufacturing precision and quality control improve, but device complexity and measurement requirements increase

Engineering Contradiction:
Improvequality controlVSAvoidmeasurement system complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent uses process maps as an intermediary that translates complex thermal field measurements into simplified relationships between process variables and outcomes. These maps serve as a mediator that captures the complexity of thermal behavior in a usable format, improving quality control without requiring complex real-time measurement systems during manufacturing

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent creates simplified copies of the thermal field behavior through process maps that represent the essential relationships without requiring full complexity of the original thermal system. These map-based models allow quality control through easier-to-measure process variables while capturing the critical thermal field characteristics

Inventive Principle:
Principle #26Copying

3Reliability

If comprehensive process mapping is performed to understand variable relationships, then reliability and consistency of process outcomes improve, but loss of time and resources for experimentation increase

Engineering Contradiction:
Improveconsistency of process outcomesVSAvoidexperimentation time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent applies segmentation by dividing the process mapping into discrete experiments for individual process variables while holding others constant. This systematic breakdown allows comprehensive understanding of variable relationships through manageable experimental segments, improving reliability through complete coverage without requiring exhaustive simultaneous testing of all variables

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent uses partial action by focusing process mapping on the most critical process variables that have the greatest impact on thermal field characteristics. Rather than mapping all possible variables, the approach identifies and maps only the essential parameters, achieving reliable process control with reduced experimentation time and resources

Inventive Principle:
Principle #16Partial or excessive action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

These techniques enable the understanding of relationships between process variables and final part quality with minimal experimentation, facilitating the comparison of different manufacturing techniques and equipment, and reducing variability in process outcomes.

Implementation Method 1

locally heating a region of a structure, wherein the local heating results in formation of a thermal field in the structure

Methodology Applied
Scientific EffectLocal heating: Heating

Data Source

PatentUS10328532B2Process mapping of average temperatures and process sensitivity
Publication Date: 2019.06.25 CARNEGIE MELLON UNIV
  • US10328532B2 patent drawing
  • US10328532B2 patent drawing
  • US10328532B2 patent drawing

AI summary

In one aspect, a method includes conducting a plurality of tests on process variables of a thermal process, with a test of the plurality of tests being conducted on two or more process variables, the test comprising: locally heating a region of a structure, wherein the local heating results in formation of a thermal field in the structure; assessing one or more temperature integrals of the thermal field; and based on results of the plurality of tests, generating a process map of the one or more temperature integrals of the thermal field, with the one or more temperature integrals based on a function of the two or more process variables.