Analytical modeling of the heat-affected zone in laser-assisted milling of AerMet100 steel

Zeng, Haohao; Yan, Rong; Wang, Wei; Zhang, Hang; Yan, Jeff; Peng, Fangyu

doi:10.1007/s00170-020-05821-w

Cited by 12 publications

(8 citation statements)

References 23 publications

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“…The Hensel-Spittel (HS) equation is frequently utilized in simulations for hot forming, including the widely recognized Forge NxT 4.0 software, owing to its uncomplicated structure and readily obtainable parameters [22][23][24]. Equation (1) shows the general structure of the HS model.…”

Section: Constitutive Modelmentioning

confidence: 99%

“…A and m 1 -m 8 are the material constants. Equation ( 2) is obtained by taking the natural logarithm of Equation (1).…”

Section: Constitutive Modelmentioning

confidence: 99%

“…and readily obtainable parameters [22][23][24]. Equation (1) shows the general structure of the HS model.…”

Section: Constitutive Modelmentioning

confidence: 99%

“…A100 steel is extensively utilized in the crucial components of mechanical systems that must withstand significant dynamic loads, including landing gears, arresting hooks, catapult launch bars, and jet engine shafts in aircrafts [ 1 ]. In these service conditions, A100 steel must have a high strength as well as a high toughness.…”

Section: Introductionmentioning

confidence: 99%

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Research on the Hot Deformation Process of A100 Steel Based on High-Temperature Rheological Behavior and Microstructure

Sun,

Qin,

Liu

et al. 2024

Materials

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To obtain the optimal hot deformation process, the rheological and dynamic recrystallization behaviors of A100 steel were researched through isothermal compression tests. Firstly, a Hensel-Spittel constitutive model was established based on the stress–strain curves. Secondly, dynamic recrystallization percentage and grain size models were established to identify the necessary conditions for complete dynamic recrystallization. Finally, microstructural analysis was employed to validate the accuracy of the recrystallization model. The results indicate that the flow stress is highly sensitive to both the strain rate and the temperature, and the HS model demonstrates a high predictive accuracy, with a correlation coefficient of 0.9914. There exists a contradictory relationship between decreasing the average grain size and increasing the recrystallization percentage. The higher the percentage of dynamic recrystallization, the larger the average grain size tends to be. This situation should be avoided when devising the actual processing procedures. The optimal hot working processes for achieving complete dynamic recrystallization and a smaller average grain size are as follows: a strain equal to or greater than 0.6, a temperature between 1193 and 1353 K, and a strain rate between 0.1 and 1 s−1.

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Section: Constitutive Modelmentioning

confidence: 99%

“…A and m 1 -m 8 are the material constants. Equation ( 2) is obtained by taking the natural logarithm of Equation (1).…”

Section: Constitutive Modelmentioning

confidence: 99%

“…and readily obtainable parameters [22][23][24]. Equation (1) shows the general structure of the HS model.…”

Section: Constitutive Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Research on the Hot Deformation Process of A100 Steel Based on High-Temperature Rheological Behavior and Microstructure

Sun,

Qin,

Liu

et al. 2024

Materials

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“…The HAZ on the machined surface affects the dimensional accuracy and service performance of the workpiece after heating using the laser system. Kadivar et al [137] proposed a two-stage LAM process to solve the problems in which a continuous wave or short-pulse laser may produce an HAZ that may be retained on the surface of the finished product, and the use of coolant would lead to a decrease in laser heating efficiency. The first stage is based on an ultrashort pulse laser to soften the shear zone on the workpiece surface.…”

Section: Lam Of High-strength Steelmentioning

confidence: 99%

Energy field-assisted high-speed dry milling green machining technology for difficult-to-machine metal materials

et al. 2023

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Energy field-assisted machining technology has the potential to overcome the limitations of machining difficult-to-machine metal materials, such as poor machinability, low cutting efficiency, and high energy consumption. High-speed dry milling has emerged as a typical green processing technology due to its high processing efficiency and avoidance of cutting fluids. However, the lack of necessary cooling and lubrication in high-speed dry milling makes it difficult to meet the continuous milling requirements for difficult-to-machine metal materials. The introduction of advanced energy-field-assisted green processing technology can improve the machinability of such metallic materials and achieve efficient precision manufacturing, making it a focus of academic and industrial research. In this review, the characteristics and limitations of high-speed dry milling of difficult-to-machine metal materials, including titanium alloys, nickel-based alloys, and high-strength steel, are systematically explored. The laser energy field, ultrasonic energy field, and cryogenic minimum quantity lubrication energy fields are introduced. By analyzing the effects of changing the energy field and cutting parameters on tool wear, chip morphology, cutting force, temperature, and surface quality of the workpiece during milling, the superiority of energy-field-assisted milling of difficult-to-machine metal materials is demonstrated. Finally, the shortcomings and technical challenges of energy-field-assisted milling are summarized in detail, providing feasible ideas for realizing multi-energy field collaborative green machining of difficult-to-machine metal materials in the future.

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Analytical modeling of cutting forces considering material softening effect in laser-assisted milling of AerMet100 steel

Zhang

Zeng

Yan

et al. 2021

Int J Adv Manuf Technol

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Analytical modeling of the heat-affected zone in laser-assisted milling of AerMet100 steel

Cited by 12 publications

References 23 publications

Research on the Hot Deformation Process of A100 Steel Based on High-Temperature Rheological Behavior and Microstructure

Research on the Hot Deformation Process of A100 Steel Based on High-Temperature Rheological Behavior and Microstructure

Energy field-assisted high-speed dry milling green machining technology for difficult-to-machine metal materials

Analytical modeling of cutting forces considering material softening effect in laser-assisted milling of AerMet100 steel

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