Investment Casting AM Burnout Time Identification and Usage with Machine Learning

Background of problem Creation of metal parts by molds Burnout process has an inconsistent and unknown time Can vary with furnace specifications Temperature and Oxygen Level Can vary by pattern itself Shape and Material

Publication Details

Journal
UNI ScholarWorks (University of Northern Iowa)
Published
2025-04-08
Primary Topic
Metallurgical Processes and Thermodynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

Investment Casting AM Burnout Time Identification and Usage with Machine Learning

UNI ScholarWorks (University of Northern Iowa)
Metallurgical Processes and Thermodynamics
article

Investment Casting AM Burnout Time Identification and Usage with Machine Learning

article en

Abstract

Background of problem Creation of metal parts by molds Burnout process has an inconsistent and unknown time Can vary with furnace specifications Temperature and Oxygen Level Can vary by pattern itself Shape and Material

UNI ScholarWorks (University of Northern Iowa)
Openalex Percentile: Top 48%
Metallurgical Processes and Thermodynamics
OpenAlex
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Investment Casting AM Burnout Time Identification and Usage with Machine Learning · UNI ScholarWorks (University of Northern Iowa) (2025) | TGRS Research Map | TGRS