A Study on the Machining Characteristics of Curved Workpiece Using Laser-Assisted Milling with Different Tool Paths in Inconel 718

Kim, Eun Jung; Lee, Choon-Man

doi:10.3390/met8110968

Cited by 14 publications

(8 citation statements)

References 24 publications

(26 reference statements)

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“…Kim and Lee conducted research with the induction-assisted milling and laser-assisted milling of Inconel 718. In addition, a combination of those techniques has already been studied by Ha and Lee, who confirmed the high potential of these hybrid processes [12][13][14].…”

Section: Introductionmentioning

confidence: 81%

Conduction-Based Thermally Assisted Micromilling Process for Cutting Difficult-to-Machine Materials

Platt

Meijer

Biermann

2020

JMMP

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The increasing demand for complex and wear-resistant forming tools made of difficult-to-machine materials requires efficient manufacturing processes. In terms of high-strength materials; highly suitable processes such as micromilling are limited in their potential due to the increased tool loads and the resulting tool wear. This promotes hybrid manufacturing processes that offer approaches to increase the performance. In this paper; conduction-based thermally assisted micromilling using a prototype device to homogeneously heat the entire workpiece is investigated. By varying the workpiece temperature by 20 °C < TW < 500 °C; a highly durable high-speed steel (HSS) AISI M3:2 (63 HRC) and a hot-work steel (HWS) AISI H11 (53 HRC) were machined using PVD-TiAlN coated micro-end milling tools (d = 1 mm). The influence of the workpiece temperature on central process conditions; such as tool wear and achievable surface quality; are determined. As expected; the temporary thermal softening of the materials leads to a reduction in the cutting forces and; thus; in the resulting tool wear for specific configurations of the thermal assistance. While only minor effects are detected regarding the surface topography; a significant reduction in the burr height is achieved.

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Section: Introductionmentioning

confidence: 81%

Conduction-Based Thermally Assisted Micromilling Process for Cutting Difficult-to-Machine Materials

Platt

Meijer

Biermann

2020

JMMP

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“…The levels of tool damage and surface quality were improved, as shown in Fig. 20 [151]. Finally, the cutting force of LAM (B&F) was smaller than that of LAM and CM.…”

Section: Lam Of Nickel-based Alloysmentioning

confidence: 92%

“…Finally, the cutting force of LAM (B&F) was smaller than that of LAM and CM. Compared with CM, the surface roughness of LAM (B&F) and LAM decreased by 34.2% and 56.8%, respectively [151]. Based on the parameter optimization for planar LAM and the new technology, the LAM experiments on contour and slope non-uniform rational B-spline (NURBS) three-dimensional surfaces outperformed at a set preheating temperature of 940 °C.…”

Section: Lam Of Nickel-based Alloysmentioning

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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“…Hybrid non-conventional processes with CM as a base factor have been investigated numerically to efficiently improve Laser-Assisted Machining (LAM) and Induction-Assisted Machining (IAM). Before experiments, thermal FEA of LAM is usually conducted to determine the preheating T and effective a p [130]. Taking INCONEL ® 718, for instance, the preferable range of preheating T is between 700 and 900 • C, where σ u sharply decreases [131].…”

Section: Hybrid Manufacturing Process Modelling: Thermally Assisted M...mentioning

confidence: 99%

“…Hybrid manufacturing processes like TAM can feature conventional milling and lathing. Kim and Lee [130] investigated the deployment of LAM for the machining of an INCONEL ® 718 workpiece with a 3D curved shape by employing Non-Uniform Rational B-Spline (NURBS) techniques and employing different tool paths, such as ramping and contouring, while varying machining conditions. The authors utilised ANSYS ® v.18 software for the numerical evaluation of the varied tool paths, employing different meshing approaches, as depicted in Figure 33.…”

Section: Thermally Assisted Machining (Tam)mentioning

confidence: 99%

INCONEL® Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review

Pedroso,

Sebbe,

Costa

et al. 2024

JMMP

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Machining INCONEL® presents significant challenges in predicting its behaviour, and a comprehensive experimental assessment of its machinability is costly and unsustainable. Design of Experiments (DOE) can be conducted non-destructively through Finite Element Analysis (FEA). However, it is crucial to ascertain whether numerical and constitutive models can accurately predict INCONEL® machining. Therefore, a comprehensive review of FEA machining strategies is presented to systematically summarise and analyse the advancements in INCONEL® milling, turning, and drilling simulations through FEA from 2013 to 2023. Additionally, non-conventional manufacturing simulations are addressed. This review highlights the most recent modelling digital solutions, prospects, and limitations that researchers have proposed when tackling INCONEL® FEA machining. The genesis of this paper is owed to articles and books from diverse sources. Conducting simulations of INCONEL® machining through FEA can significantly enhance experimental analyses with the proper choice of damage and failure criteria. This approach not only enables a more precise calibration of parameters but also improves temperature (T) prediction during the machining process, accurate Tool Wear (TW) quantity and typology forecasts, and accurate surface quality assessment by evaluating Surface Roughness (SR) and the surface stress state. Additionally, it aids in making informed choices regarding the potential use of tool coatings.

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A Study on the Machining Characteristics of Curved Workpiece Using Laser-Assisted Milling with Different Tool Paths in Inconel 718

Cited by 14 publications

References 24 publications

Conduction-Based Thermally Assisted Micromilling Process for Cutting Difficult-to-Machine Materials

Conduction-Based Thermally Assisted Micromilling Process for Cutting Difficult-to-Machine Materials

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

INCONEL® Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review

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