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Challenges in Temperature Measurement in Hot Forging Processes: Impact of Measurement Method Selection on Accuracy and Errors in the Context of Tool Life and Forging Quality

锻造 过热(电) 热电偶 背景(考古学) 机械工程 热的 材料科学 计量系统 温度测量 工程类 复合材料 物理 古生物学 气象学 电气工程 生物 量子力学 天文
作者
Marek Hawryluk,Łukasz Dudkiewicz,Jakub Krawczyk,Marta Janik,Marzena Lachowicz,Mateusz Skwarski
出处
期刊:Materials [Multidisciplinary Digital Publishing Institute]
卷期号:18 (16): 3850-3850
标识
DOI:10.3390/ma18163850
摘要

This study investigates the influence of temperature measurement accuracy on tool failure mechanisms in industrial hot forging processes. Challenges related to extreme operational conditions, including high temperatures, limited access to measurement surfaces, and optical interferences, significantly hinder reliable data acquisition. Thermal imaging, pyrometry, thermocouples, and finite element modeling were employed to characterize temperature distributions in forging tools and billets. Analysis of multi-stage forging of stainless steel valve forgings revealed significant discrepancies between induction heater settings and actual billet surface temperatures, measured by thermal imaging. This thermal non-uniformity led to localized underheating and insufficient dissolution of hard inclusions, confirmed by dilatometric tests, resulting in billet jamming and premature tool failure. In slender bolt-type forgings, excessive or improperly controlled billet temperatures increased adhesion between the forging and tool surface, causing process resistance, billet sticking, and accelerated tool degradation. Additional challenges were noted in tool preheating, where non-uniform heating and inaccurate temperature assessment compromised early tool performance. Measurement errors associated with thermal imaging, particularly due to thermal reflections in robotic gripper monitoring, led to overestimated temperatures and overheating of gripping elements, impairing forging manipulation accuracy. The results emphasize that effective temperature measurement management, including cross-validation of methods, is crucial for assessing tool condition, enhancing process reliability, and preventing premature failures in hot forging operations.

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