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Lifetime Prediction Method for 3D Printing Components

A technology for life prediction and printing components, applied in the field of additive manufacturing, which can solve the problems such as the inability to apply additive manufacturing, and achieve the effect of easy implementation, ensuring quality and safety, and high efficiency

Active Publication Date: 2022-06-24
SIEMENS AG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the turbine blade life prediction mechanism of traditional technology cannot be applied to additive manufacturing technology

Method used

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  • Lifetime Prediction Method for 3D Printing Components
  • Lifetime Prediction Method for 3D Printing Components
  • Lifetime Prediction Method for 3D Printing Components

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Experimental program
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Embodiment Construction

[0018] The specific embodiments of the present invention will be described below with reference to the accompanying drawings.

[0019] The life prediction method of the present invention is suitable for nickel-based superalloy material components manufactured by additive manufacturing technology. Among them, the additive manufacturing technology mentioned in this article is the 3D printing technology, including but not limited to the Selected Laser Melting (Selected Laser Melting, SLM) process or the binder jetting technology and the like.

[0020] in, figure 1 is a schematic diagram of a selective laser melting device. like figure 1 As shown, the selective laser melting apparatus 100 includes a laser source 110 , a mirror scanner 120 , a prism 130 , a powder feeding tank 140 , a forming tank 150 and a recovery tank 160 . The laser source 110 is disposed above the selective laser melting device 100 to serve as a heating source for the metal powder, that is, to melt the meta...

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Abstract

The present invention provides a life prediction method for 3D printing components, which includes the following steps: S1, obtain the grain size d of 3D printing components based on the Weibull distribution theory; S2, obtain low cycle fatigue based on the grain size by the following function life N f : Among them, σ t is the tensile strength, Δσ is the stress amplitude, a c is the critical crack degree, δ is the fracture toughness, k 0 is the stress concentration factor, n is the stress sensitivity coefficient, and λ is the crack length. The life prediction method of 3D printing components provided by the present invention does not need to set additional experiments to verify the low-cycle fatigue life of components, and is more efficient and professional. And the invention is easy to implement and has no extra cost. The invention can ensure the quality and safety of 3D printing components.

Description

technical field [0001] The invention relates to additive manufacturing, in particular to a life prediction method for 3D printing components. Background technique [0002] Additive manufacturing technology has been in use for 20 years, however only in the past few years has it gained significant attention due to its great advantages in the manufacture of end-use products with complex designs and their high added value. Today, most of the success stories of additive manufacturing lie in non-mission-critical applications, of which the microstructure and monotonic response of metal alloys are more studied. However, in order to realize the full potential of additive manufacturing technology, especially in the manufacture of safety-critical components, which include rotating parts (rotating parts) and critical fracture parts (fracture-critical parts) )Wait. And the quality of additively manufactured components should be related to creep testing and fatigue testing. [0003] Fo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N3/08
CPCG01N3/08
Inventor 华旭李长鹏陈国锋
Owner SIEMENS AG
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